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https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis U.S. DEPARTMENT OF LABOR William E. Brock, Secretary Regional Commissioners for Bureau of Labor Statistics Region I—Boston: BUREAU OF LABOR STATISTICS Janet L. Norwood, Commissioner The Monthly Labor Review is published by the Bureau of Labor Statistics of the U.S. Department of Labor. Communications on editorial matters should be addressed to the Editor-in-Chief, Monthly Labor Review, Bureau of Labor Statistics, Washington, DC 20212. Phone: (202) 523-1327. Subscription price per year—$16 domestic; $20 foreign. Single copy $4.75 domestic; $5.94 foreign. Subscription prices and distribution policies for the Monthly Labor Review (ISSN 0098-1818) and other Government publications are set by the Government Printing Office, an agency of the U.S. Congress. 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Hirabayashi MONTHLY LABOR REVIEW DECOMBER 1986 VOLUME 109, NUMBER 12 Henry Lowenstern, Editor-in-Chief Robert W. Fisher, Executive Editor Jerome A. Mark 3 Measuring single-factor and multifactor productivity Development of new data sources, better use of existing sources, and broader coverage are some of the ways in which b l s has improved its productivity measures Arthur Neef 12 International trends in productivity, labor costs in manufacturing U.S. output per hour exceeded the rates of gain in 8 of 11 other industrial nations in 1985, but U.S. unit labor costs rose 2.7 percent relative to dollar-adjusted, trade-weighted average Lawrence J. Fulco 18 U.S. productivity growth: the post-recession experience Productivity increases for the current upturn are more modest than those recorded for similar postwar periods, although the manufacturing sector is performing well Norman C. Saunders 23 Sensitivity of bls economic projections to exogenous variables The 1995 macroeconomic model has been most responsive to changes in fiscal spending and foreign economic activity; energy assumptions have had little effect on the estimates REPORTS Maria L. Roca Howard V. Hayghe https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 30 Women veterans total 1 million in first half of 1986 31 Military and civilian wives: update on the labor force gap DEPARTMENTS 2 30 35 36 41 45 93 Labor month in review Research summaries Major agreements expiring next month Developments in industrial relations Book reviews Current labor statistics Index to volume 109 Labor M onth In Review JOB SAFETY REPORT. The Bureau of Labor Statistics reported results of its survey of work-related injuries and illnesses in 1985. The report shows that job-related in juries and illnesses occurred at virtually the same rate in 1985 as in the previous year. The injury and illness rate was 7.9 per 100 full-time workers in 1985, compared with 8.0 in 1984. While the number of injuries and illnesses rose from 5.4 million in 1984 to 5.5 million in 1985, the rate remained stable because of increases in the number of employees and hours of work. In releasing the new data, Commissioner of Labor Statistics Janet L. Norwood called the survey both comprehensive and welldesigned, but expressed concern about the completeness of the recordkeeping upon which the survey is based. Norwood reported that BLS has taken the following steps to address this problem: • BLS has revised and clarified the record keeping guidelines to provide better explana tions to employers and workers about report ing obligations under the law. Nearly 400.000 copies of revised guidelines have been distributed. The Bureau also has launched an extensive effort to increase understanding of the requirements through seminars and other training activities. • BLS has scientifically selected a sample and is providing other technical assistance to the Occupational Safety and Health Ad ministration for a special pilot survey involv ing on-site evaluation of the records in 100 establishments in each of two States. BLS will evaluate the results of the survey. • BLS has asked the National Academy of Sciences’ Committee on National Statistics to establish a panel of experts to review the entire safety and health statistics system. BLS has requested that the panel make recommendations on techniques to evaluate the accuracy of recordkeeping as well as methods to develop more comprehensive statistical estimates of occupational illnesses. The BLS survey data show that in 1985 there were 3,750 work-related deaths in 2 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis establishments with 11 or more em ployees—about the same number as that in 1984. Two-thirds of all fatalities occurred in construction, m anufacturing, and transportation and public utilities industries. As in previous years, the leading cause of death was over-the-road motor vehicle ac cidents, accounting for nearly one-third of fatalities in 1985. Occupational injuries. Occupational in juries occurred at a rate of 7.7 per 100 full time workers during 1985. About 46 per cent of the recorded injuries were serious enough to require injured workers to take time off from work or to be restricted in work activity beyond the day of injury. While the overall injury rate was about the same in 1985 as in 1984, there was a marked decrease in injury rates in mining industries—from 9.5 in 1984 to 8.3 in 1985. In contrast, the injury rate increased in ser vice industries—from 5.0 in 1984 to 5.3 in 1985. Injury rates varied by establishment size in 1985, as they have in previous years. Injury rates for small and large private sec tor establishments continued to be lower than the rate for mid-size establishments. Occupational illnesses. The number of oc cupational illnesses measured by the annual survey is the number of new illness cases occurring during a year, not the prevalence of existing illnesses. During 1985, there were about 125,000 new cases of these occupational illnesses among workers in private industry. More than two-thirds of these new cases involved skin diseases or disorders associated with repeated trauma (for example, noise-induced hearing loss and conditions due to repeated motion, pressure, or vibration). Chronic and long-term latent illnesses, which are often difficult to recognize or relate to the workplace, are included in the estimate but may be understated. The distribution of illnesses among in dustries remained consistent with patterns of previous years. About 72,000 illness cases, or about 58 percent of the total, oc curred in manufacturing, more than double the ratio of manufacturing employment to private sector employment. Background of the survey. The Annual Survey of Occupational Injuries and Illnesses is a Federal/State program in which reports are received and processed by State agencies participating with the Bureau of Labor Statistics. The 1985 survey, requir ing mandatory response, involved a sample of 280,000 establishments. The estimates generated from the survey represent the work injury and illness experience of over 81 million workers in the private sector of the American economy. Data are based on the records which employers maintain under the Occupational Safety and Health Act of 1970. Excluded from coverage under the Act are workplaces which are covered by other Federal safety and health laws. Therefore, data conform ing to definitions of recordable occupational injuries and illnesses for coal, metal, and nonmetal mining and railroad activities were provided to the Bureau by the Mine Safety and Health Administration of the U.S. Department of Labor and the Federal Railroad Administration of the U.S. Depart ment of Transportation. Also excluded from the survey are the self-employed; farmers with fewer than 11 em ployees; private households; and employees in Federal, State, and local government agencies. In a separate report ing system, agencies of the Federal Govern ment file work injury and illness reports with the Secretary of Labor. The fatality data only represent units with 11 or more employees, while estimates for the other types of cases (injuries and illnesses) include establishments with fewer than 11 employees. A relative standard error is calculated for each estimate generated from the Annual Survey of Occupational Injuries and Illnesses and will be published in a BLS bulletin that is in preparation. □ Problems encountered in measuring single- and multifactor productivity Development of new data sources, better utilization o f existing sources, and broader coverage are some o f the ways in which bls has improved its productivity measures; progress has been made, but inadequacies remain Jerome A. M ark The slowdown in productivity growth since the early 1970’s in many countries has stimulated and renewed interest in the causes of productivity change. The observation that there has been a slowdown has generally centered on the tradi tional indicator of productivity— output per unit of labor input, or labor productivity. Labor productivity— the relationship between output and labor input— has been the most prevalent measure of pro ductivity for a variety of reasons. First, labor is involved in all aspects of production and generally has been the most important factor in the production process. Second, labor input is the most readily measurable of the various produc tion factors. Labor productivity measures are useful in that they pro vide quantitative indicators of the amount of change in labor expended to produce real goods and services of an enter prise, industry, or economy. Changes in output per hour, however, do not measure the specific contribution of labor or any other factor of production. Instead, they reflect the joint effects of many influences which affect the use of labor, including changes in technology, capital investment, utiliza tion of capacity, economies of scale, energy substitution, organization of production, and managerial skills, as well as changes in the characteristics and efforts of the work force. To provide insights into some of the factors influencing Jerome A. Mark, Associate Commissioner for Productivity and Technol ogy, Bureau o f Labor Statistics, presented a paper on this subject at the International Productivity Symposium 2 in Munich, Germany, Octo ber 14-16, 1986. This article is based on that paper. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis labor productivity changes, other measures of productivity have been developed which include additional inputs, such as capital services and intermediate items (purchased mate rials, fuels, and business services). The difference in the movements of these multifactor productivity measures and the output per hour measures provides a look at the effect of the substitution of other factors on labor productivity move ments. The multifactor measures themselves reflect changes in the use of many factors of production per unit of output over time. The problems in developing multifactor productivity measures are much more severe than those present in deriv ing the traditional single-factor productivity measures. All the difficulties of defining and measuring output and labor input in the labor productivity measures are present in the development of the multifactor measures. But the additional problems of defining and quantifying the other inputs, such as capital, energy, and other intermediate inputs, are vastly more complex. This article discusses some of the problems the Bureau of Labor Statistics has encountered in develop ing productivity measures and explains the approaches taken to solve them. Derivation of output The output indexes for the measures of labor and multi factor productivity for the private business economy and its major sectors are derived from data on real gross product published in the National Income and Product Accounts (hereafter, national accounts) by the Bureau of Economic 3 MONTHLY LABOR REVIEW December 1986 • Single-Factor and Multifactor Productivity Analysis, U. S. Department of Commerce. Output measures for the detailed industries at the sic (Standard Industrial Classification) two-, three-, and four-digit levels are pre pared from basic data developed by various public and pri vate agencies, using the greatest level of detail available. Several major issues must be examined in the derivation of the output measures. These involve (1) selecting the appropriate output concept to be measured, (2) adjusting output so that it is consistent with available input measures, (3) obtaining quantity data on production, (4) developing appropriate weights for aggregating heterogeneous items into a single output measure, and (5) separating value change into price change and real output change. The output concept used for the business and major sector measures is a net output or a value-added type of measure. The concept used for industries is a gross output measure that includes the value of purchased goods and services. In using the national accounts data to derive the output measure for the business economy, several important exclu sions from the gross national product (gnp) measures are made. These exclusions are necessary because (1) no ade quate corresponding labor or capital input measure can be developed for some components of the national accounts, and (2) the gross product measures for some components are based on labor inputs implying constant output per unit of labor input. Private business, which accounts for about 80 percent of gnp , includes the output of all activities measured in the national accounts, except for general government, paid em ployees of private households, nonprofit institutions, the “rest of world” sector, owner-occupied dwellings, govern ment enterprises, and the statistical discrepancy. General government is excluded because of the manner in which it is measured in the national accounts: The constantdollar output of general government is derived by adjusting base-year hourly compensation for changes in the total hours of government employees. This assumes that produc tivity of this component remains constant. Private house hold employees and nonprofit institutions are also excluded for this reason. The “rest of world” sector is excluded primarily for rea sons of consistency between output and input data. The current value of output of this sector is equal to the payments to factors (labor and capital) abroad owned by U.S. resi dents, less payments to factors in the United States owned by foreigners. The payments to factors abroad owned by U.S. residents cannot be related to corresponding labor and capital inputs. The returns to income sent abroad to foreign owners of U.S. enterprises should be included but are not, to provide consistency between the output and input data. Owner-occupied dwellings are also excluded for consis tency purposes. In the national accounts, an estimate is made for the rental value of owner-occupied housing for inclusion in the gnp measures. The output of this service, the net rental value of owner-occupied homes, is estimated 4 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis as the amount for which owner-occupied homes could be rented, less maintenance, insurance, and like expenses. However, there is no measure available for the hours worked by homeowners. Statistical discrepancy is the difference between gnp esti mates constructed from the product (the sum of all produc tion for consumption, investment, government, and net for eign trade) and the income (the sum of all income resulting from compensation, profits, interest, and so forth) sides of the national accounts. Given that the input data are more closely related to the income side of the accounts, measures net of statistical discrepancy are developed to provide greater consistency between the output and input data. Government enterprises— the U.S. Postal Service, the Tennessee Valley Authority, State and local enterprises, and the like— are excluded from the multifactor productivity measures because only limited data are available on their capital input. In the national accounts, structures and durable equipment used by these enterprises are treated as final sales to general government rather than as investments of the enterprises. Government enterprises thus show no capital cost associated with plant and equipment in the na tional accounts. Data on labor input of these enterprises, however, are available and the output of these enterprises is included in the labor productivity measures. The aggregate measure resulting from these adjustments covers the product of the private business sector. Included in the output measure for this sector, however, are national accounts data for some miscellaneous items still based on measures of their inputs. This results from use of hourly compensation indexes or cost indexes as a deflator in the national accounts. Use of these measures implies no produc tivity change for the associated components. These remain ing items, however, do not constitute a serious problem because they amount to only 6 percent of the total. (See table 1.) Specific problems. Although gnp data are adjusted to make them appropriate for the multifactor productivity series, there are still problems with the measures. Perhaps the most important is the adequacy of the price measures used to derive the constant-dollar measures. The price meas ures used in the national accounts to deflate the value of output and intermediate inputs are predominantly from com ponents of the consumer and producer price indexes pre pared by bls . In obtaining the data for these series, respondents are asked to quote prices for clearly specified items. When producers significantly alter a product, they are asked to report the changes so bls can adjust the reported price to reflect the change in quality based on the additional cost (or saving) due to the change. However, a quality change in a product can be achieved in ways which are not captured by measuring the cost of the change, either because there is no way to identify the direct cost associated with a specific Table 1. Relationship between gross national product and the measure of private business sector gross product, 1985 b l s Am ount Ite m ( b illio n s o f P e rc e n t 1 9 8 2 d o lla r s ) Gross national product (gnp)........................................... $3,585.2 100 Output items excluded from gnp to obtain bls private business gross product: General g o v e rn m e n t.............................................................. Owner-occupied h o u s in g ....................................................... Rest-of-the-world ................................................................... Households and in stitutio ns.................................................. Government enterprises......................................................... Statistical d iscre pa n cy........................................................... 355.5 209.4 37.0 140.0 43.9 -5 .0 10 6 1 4 private business gross p ro d u c t........................................ Value of output deflated by hourly compensation or cost indexes.......................................................................... 2,804.4 78 238.5 6 Nonresidential s tru c tu re s .................................................. O th e r...................................................................................... 152.2 86.3 4 2 Value of output deflated by output price indexes.............. 2,565.9 72 bls 0) (D 1 Less than 0.5 percent. Source: S u r v e y o f C u r r e n t B u s in e s s , July 1986, supplemented by unpublished adjustments by Bureau of Economic Analysis, U.S. Department of Commerce, and Bureau of Labor Statistics. change, or because there is no additional cost involved. Two items have been particularly weak in the price area: the treatment of computers and the derivation of construc tion industry measures. Because of the rapid changes that have been taking place and the inability to obtain reliable data in price surveys, the national accounts, for many years, assumed no change in the price of computers. It was generally believed that rapid changes in quality of the computers resulted in an upward bias in the prices and a downward bias in the resulting output and productivity measures. To improve these measures, the Bureau of Economic Analysis, in conjunction with ibm , conducted a study in which new price measures for computers were developed.1 This study compared two approaches: (1) a matched model index in which prices of models on the market in 2 adjacent years were used to compute a chain index over a period of years, and (2) hedonic indexes, computed using regressions showing the effects of specific computer characteristics on computer prices. A composite index was developed combining results from the two approaches. This composite index showed a substantial drop in the prices for computers and a corresponding increase in real output from that previ ously reported. While this measure is a considerable im provement, further development of the measurement tech nique for computer prices is being pursued. In the construction area, developments have not been as fruitful. With the exception of single-family housing and highway construction, the price indexes available for con struction activities are generally input price or cost indexes. (This problem is reflected in the entry for nonresidential structures in table 1.) The resultant productivity index for this industry has a bias toward no change and, to a lesser extent, this extends to the overall measure. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis A hedonic price measure has been developed for single family housing and a bid price index is used for highway construction. These price measures do reflect changes in the utilization of materials and labor per unit of output. They do not, however, represent a large proportion of total construc tion activities. The output measures for the industry productivity indica tors are derived independently of the national accounts. For each industry, the quantities of the various products that are produced by the industry are directly aggregated with the appropriate weights for the various products which make up the output of the industry. The appropriate weight for the direct aggregation of the products is the base-year factor input. Thus, for a labor productivity measure, the weight is the base-year hours of employees in the industry engaged in the production of each output. For a multifactor industry productivity measure, the appropriate weights for the output are the costs of the factor inputs. The resultant productivity measure is an internal mean of the productivity movements of the component elements of the industry. Thus, the labor productivity measure reflects the change in the labor ex pended in the production of a constant bundle of goods or services, and the multifactor measure reflects the change in all factors expended in the production of the bundle. In some industries, however, unit employee hour infor mation is not available for individual products. In such cases, substitute weights are used when it is believed that they are proportional to unit employee weights. These are either labor costs per unit of product, unit value added, or prices. The resultant productivity measure from any of these derivations reflects the effects of shifts in the labor cost, value added, or value per hour among the various products within the industry, as well as the change in productivity among the various products. For some industries, data collected in the U.S. economic censuses have enabled the bls to develop labor input weights for product classes, if not at the product level. Thus, a hybrid measure is developed which includes substitute (usually price) weights for combining specified products into product classes and labor weights beyond the product class level. For those industries lacking quantity data, constant-dollar value of shipments data, adjusted for inventory change, are used to develop the output measure. Deflation of the value of the production of the industry by the price change of the various products is a variant of weighting the physical quan tity data with unit values. The adequacy of these measures depends to a great extent on the adequacy of the price measures used to deflate the current-dollar value of output. The problem of inadequate price deflators is more pro nounced with the industry output measures. In many cases, its resolution largely determines whether a productivity measure can or cannot be derived. This has been one of the important factors determining the number of productivity measures that are available in the service sector. In recent 5 MONTHLY LABOR REVIEW December 1986 • Single-Factor and Multifactor Productivity years, the number of producer and consumer price indexes has been increasing substantially in the service area, as has the number of productivity measures developed. In developing the deflated value of gross output indexes for sic two-digit industries, it is useful to remove intraindus try transactions from the output series. Data for the transac tions between establishments in the same two-digit industry are difficult to obtain. However, approximations can be obtained from input-output data.2 For this purpose, the amount of imported goods included in intraindustry con sumption is estimated and removed. Domestic consumption of materials produced by the same domestic industry is then divided by the total domestic commodity output and multi plied by gross output to estimate intraindustry sales. These are then subtracted from the two-digit industry deflated shipment data, adjusted for inventory change, to obtain the output measure. Determining labor input The labor input measures for both the sector and industry productivity series are based largely on a monthly survey of establishment payroll records. This survey, the bls Current Employment Statistics program (establishment survey), provides data on total employment (for all employees) and average weekly hours (for production and nonsupervisory workers only) in nonagricultural establishments. Because the output of the goods and services reflects the activities of all persons engaged in economic activity, it is important to develop labor input measures that include the selfemployed, unpaid family workers, and, for the total busi ness sector, labor input on farms. These data are derived, for the most part, from a household survey of the noninstitutional population, the Current Population Survey, which is conducted by the Bureau of the Census for the bls . Reliance on establishment survey data provides major benefits, but also presents two problems. The major benefits derive mainly from the size and coverage of the survey: Payroll data are provided each month from a nationwide sample of more than 200,000 establishments. The problems are that the establishment hours are based on an hours paid, rather than an hours worked, concept, and the data exclude average weekly hours of nonproduction and supervisory workers. A desirable measure of productivity is one that reflects the change in labor input actually involved in the productive process. The hours paid data include paid vacations, holi days, sick leave, and other paid time off, in addition to the actual hours worked. To the extent that leave practices change, the resultant productivity measures overstate or understate the actual change in output per hour or output per unit of labor and capital combined. To develop a better series of hours at work, the bls has been conducting an annual survey (now in its fifth year) of some 4,000 establishments to collect data on hours at work and hours paid for all production and nonsupervisory work 6 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis ers in the private nonagricultural business sector. From this survey, ratios are developed to adjust the hours paid meas ures from the establishment survey to an hours at work basis. The definition of hours at work was established, after careful study, as time on the job or at the place of work. Besides actual time at work, it includes coffee breaks, short rest periods, paid cleanup time, and other paid time at the workplace. This definition was considered to be conceptu ally the most acceptable one for which statistics could be extracted from establishment records. A narrower definition of hours actually worked was considered questionable and, in any case, too difficult to collect. Although the problem of developing the appropriate hours concept for the productivity measures is being re solved at the level of the business economy and the major sectors, the current survey does not provide data in suffi cient detail to enable the bls to develop corresponding measures at the industry level. In the absence of information from the establishment sur vey on the average weekly hours for nonproduction and supervisory workers, two solutions, neither entirely satis factory, have been adopted. For average weekly hours of nonproduction workers in manufacturing, ratios of the aver age weekly hours of manufacturing office workers to those of nonoffice workers have been developed from surveys in the 1960’s and 1970’s. Estimates of average weekly hours of nonproduction workers in manufacturing are obtained by multiplying production worker hours by these ratios. In industries other than manufacturing, supervisory em ployees’ average weekly hours are assumed to be equal to those of nonsupervisory workers. The bls measures of productivity based on the hours of all persons assume that workers are homogeneous with respect to skill. However, a highly skilled worker can be viewed as providing more labor services per hour than a lesser skilled worker. When skill differences are ignored, increases in skill levels are measured as increases in productivity. As a result, shifts from less skilled to more skilled labor because of increased education or on-the-job training are not re flected as an increase in the measure of labor input. For some purposes, it is useful to have a productivity measure that includes any changes in the potential productivity or quality of an input in the input measure. The problem is to construct a measure of labor input which accurately reflects changes in the skill level of the work force. Worker characteristics weights Previous studies have generally taken the position that relative wage or income level differentials associated with specific worker characteristics— years of schooling, age, sex, and possible industry and occupation— reflect marginal productivity of these attributes. Weighting the quality of labor (hours or employment), classified by these character istics of the work force, by the relative wage or income differentials results in an aggregate measure of labor input intended to reflect the composition of the work force. While this procedure certainly is not without merit, it presents some difficulties. In particular, it is not always clear whether certain characteristics are indeed productive. For example, workers with similar characteristics have widely different earnings in different occupations. How ever, this correlation between occupation and earnings may be due to influences other than the productivity of the occu pation per se. Furthermore, wages or earnings may also be an imperfect indicator of marginal product because they may vary for reasons unrelated to productivity, including regional differences in the cost of living and various institu tional factors. To address these problems, the bls is developing new measures of labor input based solely on changes in the amount of work experience and schooling workers acquire. This methodology, which follows directly from the eco nomic theory of human capital as developed by Jacob Min cer and Gary Becker,3 assumes that increased schooling and on-the-job training increases one’s stock of skills, and thus one’s productivity. Furthermore, the economic returns to higher education and additional work experience reflect the marginal productivity of these characteristics. The bls has developed a multidimensional data base which crossclassifies the annual hours of workers grouped by schooling and experience. Simultaneously, the implicit prices of these characteristics have been calculated. The determination of work experience requires substan tial effort. There are no large-scale surveys which directly collect data on work experience. Instead, an econometric model has been developed that estimates an individual’s quarters of work experience, based on available survey data regarding other personal characteristics. This model re quires that for each year, the work force be cross-classified by age, sex, education, race, marital status, and number of children. For the decennial census years, and for years after 1968 when observation data from the household survey could be used, the cross-classification of the work force is straightforward. For the remaining years (1948, 1949, 1951-59, 1961-67), a multiproportional interpolation pro cedure is employed. The experience model makes use of a matched sample developed from both the household survey and Social Secu rity records. The results have proven to be significantly better than previous estimates: They show that there is a positive correlation between education and experience which some measures of experience do not take into account and which can produce biased estimates. This positive cor relation is shown by a comparison of the derived returns to education and experience using the traditional estimates of experience and the new estimates. As mentioned earlier, it is recognized that hourly wages differ not only because of skill differences, but also because of factors unrelated to productivity. Accordingly, simple averages of hourly wage rates for each education and expe https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis rience group are not necessarily appropriate measures of marginal productivity. To remove these imperfections, an other econometric model has been developed which pro vides measures of wages dependent upon changes in educa tion and experience, but which simultaneously controls for other types of variation. This model measures the returns to seven different schooling levels and to quarters of work experience. It con trols for differentials by full- or part-time status, regional location, and urban or rural residence of a worker. The latter two variables adjust for possible regional price variations. Proprietors and unpaid family workers are excluded from the estimating sample because their income may reflect not only labor returns, but also returns to capital. The model is designed to yield returns to education and experience ad justed for the possible effects of race and sex discrimination on wages. Initially, annual measures of these returns will be constructed for the 1948-85 period. The construction of aggregate measures of labor input requires that all hours be cross-classified by the level of education and the amount of experience for men and women separately. The hours of each type of cross-classified labor are weighted by the corresponding hourly rental price deter mined from the model above to obtain a Tomqvist weighted index of labor input. Skill-adjusted labor input measures are presently being developed for the business and nonfarm business sectors. In sum, the measurement of labor input is limited in several problem areas. One is achieving more accurate cov erage of hours of all persons; another is developing hours at work measures; and another is developing weights which reflect differentials in marginal productivity. Some success in each of these areas has been achieved at the macro level with measures for the business economy and major sectors. However, problems remain with the measures for individual industries. It is difficult to see possibilities for substantial improvement in industry measures without substantial ex pansions in the surveys providing the basic data. Capital input measures Capital inputs should be measures of the flow of services from capital stocks rather than of capital stocks themselves. This is consistent with the measurement of labor and output as flows of goods and services. It is also consistent with the general observation that it is the services of a physical asset, rather than the asset itself, that enter into the production process. Further, it permits the capital input measure to differentiate between the annual contributions of a short lived asset and a long-lived asset that yields its services at a slower annual rate relative to its value as a stock. The bls measures adopt the service-flow concept. The assets included are fixed business equipment and structures, inventories, and land. Structures include nonresidential structures and residential capital which is rented out by profitmaking firms or persons. Financial assets are 7 MONTHLY LABOR REVIEW December 1986 • Single-Factor and Multifactor Productivity excluded, largely on pragmatic grounds, as are owneroccupied residential structures. The capital input measures are constructed in two stages. First, stocks are estimated for various types of assets. The stock estimates are developed after assuming that an asset’s services diminish in a fixed pattern as it ages. Second, assets are aggregated by weighting with capital income shares based on rental prices. This step requires the development of rental prices for each type of capital stock. Exhibit 1 summarizes the methods and data sources used to construct the measures of capital input. Steps 1 through 5 correspond to the first stage and steps 6 and 7, the second. The framework used for deriving the capital input meas ures is based on the concept that the stock of capital repre sents the amount of new investment that would be required to produce the same capital services actually produced by existing assets of all vintages. Thus, the stock measure requires historical data on real investment and assumes an age-efficiency function that describes the pattern of services that capital goods supply as they age. The measures of investment form the initial point for deriving the capital stock measures. These are constantdollar measures and are derived from price indexes which have limitations similar to those of indexes used in deriving the constant-dollar gnp output measures. For example, equipment is deflated principally by using the Producer Price Indexes. One part of investment equipment includes computers and, for many years, this presented a problem in measurement of this component of investment. The recently developed price measure for computers (discussed earlier) has improved the estimates for this component. Structures are deflated by indexes of residential prices, highway con struction prices, and the construction cost indexes. The highway component and the tenant-occupied, single-family housing construction components are deflated by adequate price measures, but the other structures must be deflated by inadequate cost measures. In general, the relationship between the economic effi ciency of an asset and its age is very complex and depends on the particular type of asset as well as a host of other factors, such as the level of economic activity, relative input prices, interest rates, and technological developments. Use of an efficiency function involves a strong assump tion. The quantity of capital services from a particular asset is assumed to be a function of its age alone. Thus, because the pattern of diminishing services remains fixed over time, the resulting capital measure cannot respond to variations in factor demand. In view of this restrictive assumption, the validity of weighting with a function representative of age alone remains a major issue. Several general forms have been employed, none of which is completely satisfactory. Use of the gross stock assumes that the asset exhibits no loss of services until it suddenly is discarded. Other forms are net of some loss of services during their lives. A straight-line form shows the 8 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis same loss of services each year. A concave form shows gradual losses early in the life of an asset, and more rapid losses as it ages. A convex form shows rapid early losses fol lowed by more gradual losses of the remaining efficiency. Several attempts have been made to address the efficiency function issue by observing used asset prices. A relationship is postulated between the efficiency of a used asset and its market price relative to that of a new asset. The most exten sive empirical study of used asset prices in the United States was done by Charles Hulten and Frank Wykoff in 1981.4 bls concluded that the concave deterioration pattern ap peared to be consistent with the empirical data in the HultenWykoff study, as well as with the reports of businesses concerning experiences with their own capital assets.5 Many private researchers have used alternative forms such as a gross measure with no deterioration, a geometric decay function with early rapid decline and a slackening of the rate of decline as the asset ages, other concave forms, and straight-line deterioration.6 To test the impact of the choice of a particular function on the final measure of mul tifactor productivity, bls conducted sensitivity tests of the growth rates of multifactor productivity and of the contribu tion of the capital-labor ratio to the growth in labor produc tivity using the different age-efficiency relationships. What emerged was that the choice of function had very little effect on either the multifactor productivity growth rates or the contribution of capital services per hour to the growth rates of output per hour. The largest difference in long-term pro ductivity growth produced by the alternative functions was 0.1 percent. (See table 2.) Depreciable assets have finite lives; eventually they are discarded from stock. Average lives of the different asset groups are based on recently revised estimates from the Department of Commerce. Asset lives are assumed to be normally distributed with a fairly wide dispersion to take account of the range of service lives observed within each investment cohort. The second stage in constructing measures of capital serv ices is the aggregation of capital stocks by weighting the stocks with income shares based on rental prices. The vari ous types of capital assets are appropriately aggregated using implicit rental prices (sometimes called user costs) for each type of asset. The rental price represents the annual costs which would be incurred by an organizaiton that pur chases an asset with the intention of renting it out.7 Thus, the rental prices are implicit because the owners and users of capital assets are frequently the same. Rental prices are calculated for each type of asset. Assets with shorter lives tend to have higher depreciation rates, and therefore, higher rental prices, and are given a larger weight in capital input. This implies that assets with higher rental prices contribute more to the annual flow of output than assets with lower rental prices. The Tomqvist method is used to combine the capital series by asset type. The change in capital input is, in effect, Table 2. Sensitivity of private business sector multifactor productivity measure to various age-efficiency assumptions, 1949-81 [Percent change] H u lt e n - W y k o f f P e r io d BLS (b e s t ( H y p e r b o lic ) g e o m e t r ic a p p r o x im a t io n ) 1 9 4 9 .................................................. - 1 .1 G ro s s (o n e h o s s shay) S t r a ig h t lin e -1 .0 -1 .0 -1 .2 7 .2 7.1 2 .2 1 9 5 0 .................................................. 7 .2 7 .4 1 9 5 1 .................................................. 2 .4 2 .5 2 .5 1 9 5 2 .................................................. 1 .8 2 .0 1 .8 1 9 5 3 .................................................. 2 .6 2 .8 2 .5 2 .6 1 .8 1 9 5 4 .................................................. -.4 -.3 -.5 -.4 1 9 5 5 .................................................. 4 .4 4 .4 4 .3 4 .3 1 9 5 6 .................................................. .3 .4 .4 .2 1 9 5 7 .................................................. .9 1 .0 .9 1 9 5 8 .................................................. .7 .8 .5 .7 1 9 5 9 .................................................. 4 .0 4.1 3 .9 4.1 .8 1 9 6 0 .................................................. .6 .5 .6 .6 1 9 6 1 .................................................. 2 .0 1 .9 1 .9 1 .9 1 9 6 2 .................................................. 3 .6 3 .6 3 .6 3 .6 1 9 6 3 .................................................. 2 .9 2 .8 2 .9 2 .8 3 .5 1 9 6 4 .................................................. 3 .6 3 .6 3 .7 1 9 6 5 .................................................. 3.1 3.1 3 .3 3 .0 1 .8 1 9 6 6 .................................................. 1 .9 2 .0 2 .2 1 9 6 7 .................................................. .3 .4 .5 1 9 6 8 .................................................. 2 .4 2 .5 2 .5 2 .3 1 9 6 9 .................................................. -.5 -.4 -.4 -.5 1 9 7 0 .................................................. -1 .2 -1 .0 1.1 -1 .2 1 9 7 1 .................................................. 2 .2 2 .3 2.1 2 .2 1 9 7 2 .................................................. 3 .3 3 .4 3 .2 3 .3 - .2 1 9 7 3 .................................................. 2 .4 2 .4 2 .4 2 .3 1 9 7 4 .................................................. -3 .8 -3 .7 -3 .8 -3 .8 1 9 7 5 .................................................. -.2 -.1 -.3 -.2 1 9 7 6 .................................................. 3 .8 3 .8 3 .6 3 .9 1 9 7 7 .................................................. 3 .0 3 .0 2 .9 3.1 1 .0 1 .0 1 9 7 9 .................................................. -1 .1 -1 .1 -1 .2 -1 .2 1 9 8 0 .................................................. -2 .2 -2 .2 -2 .3 -2 .2 1 9 8 1 .................................................. 1.1 1.1 1 .0 1.1 1 9 7 8 .................................................. 1 .0 1 .0 1 9 4 8 - 6 5 ......................................... 2 .2 2 .3 2 .3 2 .2 1 9 6 5 - 7 3 ......................................... 1 .3 1 .4 1 .4 1 .3 1 9 4 8 - 7 3 ......................................... 2 .0 2 .0 2 .0 1 .9 1 9 7 3 - 8 1 ......................................... .1 .2 .1 .2 1 .5 1 .5 1 9 4 8 - 8 1 ......................................... 1 .5 1 .6 a weighted sum of the percentage changes in the capital inputs by asset type. The weights are developed as averages, for the current and preceding year, of the asset’s capital compensation, which is the product of the asset’s rental price and the quantity of its stock. Stocks for inventories are based on average end-ofquarter real inventories as reported in the national accounts. The land stock estimate for the farm portion of private business, where land represents a large share of capital, is developed by aggregating regional acreage figures using weights reflecting regional rental values. In the nonfarm sector, the measure for land is derived by multiplying struc tures by a land-structures ratio.8 The capital input measures for the sic two-digit industries are developed in the same manner as those for the major sectors. However, one problem is encountered at the twodigit level in implementation of the usual capital input meas urement procedures. The capital rental price formulation includes the rate of return plus the rate of depreciation minus the rate of capital gains— inflation in the value of an asset— https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis all in nominal terms. Rental prices are used to construct weights for asset types as discussed above. Capital gains are usually computed as the year-to-year change in the deflator for new investment. At the two-digit level, some industries have very low rates of return in some years. After capital gains are sub tracted, some rental prices are volatile over time and even negative. The resulting asset weights thus lead to implausi ble capital aggregates. Furthermore, this volatility clearly comes from asset-specific year-to-year movements in the deflators customarily used to determine capital gains. Be cause the derivation of the rental price assumes perfect fore sight, the usual procedure of estimating capital gains im plies, incorrectly, that investors fully anticipate even erratic price movements. After careful study, bls concluded that the usual procedure of using an annual deflator is not re quired by theory.9 A 3-year moving average of the deflator was judged superior on empirical grounds. Intermediate inputs Intermediate purchases include materials, fuels, and busi ness services. Material inputs represent all commodity in puts exclusive of fuels (electricity, fuel oil, coal, natural gas, and miscellaneous fuels). Data on the total cost of materials are available from Department of Commerce an nual surveys and are deflated by appropriate price indexes to obtain measures of real material inputs. Because the data are obtained on an establishment basis, products transferred between establishments in the same industry are included in the aggregate materials cost. A two-step procedure is used to determine the rate of growth in real expenditures for materials which are purchased from outside the particular industry. First, from the annual current-dollar cost of mate rials, an estimate of the cost of intraindustry sales and trans fers is removed. Second, a materials deflator is constructed with the detailed materials price data and information on weights from input-output tables. Data on the price and quantity of energy inputs are con structed from annual surveys. These include only the quan tity and cost of fuels purchased for heat and power. How ever, quantity information is not available for all years, and the measures are extrapolated and interpolated using annual estimates of total cost deflated by appropriate Producer Price Indexes. Directly collected data on purchased business services are relatively scant in the United States. Nevertheless, the inclu sion of purchased services in the input measure is important because there is ample evidence of increased use by indus tries of such services. Also, there is evidence of increased substitution of leased capital for owned capital, and of pur chased services such as accounting, legal, and technical services for services performed inhouse. The bls estimates these services from published inputoutput tables. The general approach is to take service shares in the value of production from the input-output tables at the 9 MONTHLY LABOR REVIEW December 1986 • Single-Factor and Multifactor Productivity greatest level of detail; to obtain service costs by multiplying the shares by the value of production; and to deflate these current cost estimates by appropriate deflators. Prices for service inputs are obtained from the consumer and producer price indexes or imputed from various data sources. This is a major problem which will be alleviated by developing more extensive price measures for the service activities. Exhibit 1. Multifactor productivity The calculation of multifactor productivity proceeds from dividing the index of output by the derived index of com bined inputs. In the net, or value-added, output framework used in developing the measures for the private business economy and the major sectors, the combined inputs are labor (hours) and capital services. The aggregate input index Summary of methods and data sources used to measure capital and multifactor productivity Step 1. Obtain real investment data for data for depreciable assets 2. Allocate investment data to major sectors Data item obtained or constructed Investment in: Equipment............................ S tructures............................ Rental residential ca p ital.............................. Investment by asset type by sector (farm manufacturing, nonfarm manufacturing) 3. Determine age/efficiency Weights reflecting the declin functions for each type of ing services of an asset asset type cohort as it ages Method used and detail in which step is performed 20 asset ty p e s......................... 14 asset ty p e s......................... National accounts1 National accounts1 9 asset ty p e s......................... National accounts1 Asset detail allocated using methods in step 1 ............... Sectoral investment total proportional to national accounts................................ Historical data cross-classified by asset detail and sector.. A hyperbolic form using: An average service life estimate............................ Normal distribution of discards............................ A shape determined using empirical evidence......... 4. Perform vintage aggregation Real stocks of depreciable assets by type and sector Perpetual inventory method: Real historical investments weighted by age/efficiency functions 5. Measure nondepreciable assets Stock of inventories............... By stage of processing in manufacturing..................... Regional services weighted using rental prices............... Proportional to structures using benchmark land estimate Stock of farm la n d ................. Stock of land in manufactur ing and nonfarm manufac turing Data source See step 1 National accounts1 National accounts1 National accounts1 National accounts1 Hulten and Wykoff2 See steps 2 and 3 National accounts1 U.S. Department of Agriculture Allan3 6. Obtain constant rental prices Implicit rental value of the services of a unit of each type of asset in each sector Rental price formula esti mated using data on capital stocks and data on pay ments to capital Christensen and Jorgenson;4 steps 4 and 5; and national accounts1 7. Obtain aggregate assets Measure of real capital input in each sector Tomqvist index to asset capi tal stocks using rental prices to determine weights Steps 4, 5, and 6 1 National Income and Product Accounts, Bureau of Eco nomic Analysis, U.S. Department of Commerce. 2 Shares were reconciled to functions reported in C. R. Hulten and F. C. Wykoff, “The Measurement of Economic Deprecia tion,” in C. R. Hulten, ed., Depreciation, Inflation and Taxation o f Income from Capital (Washington, The Urban Institute Press, 1981), pp. 81-125; and C. R. Hulten and F. C. Wykoff, “The Estimation of Economic Depreciation Using Vintage Asset P r i c e s Journal o f Econometrics, 1981, pp. 367-96. 10 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 3 Benchmarks based on estimates from Manvel D. Allan, “Trends in the Value of Real Estate and Land, 1956-1966,” Three Land Research Studies (Washington, National Commis sion on Urban Problems, 1966). 4 Formula used to measure rental prices derived by Laurits R. Christensen and Dale W. Jorgenson, “The Measurement of U.S. Real Capital Input, 1929-1967,” Review o f Income and Wealth, December 1969, pp. 292-320. is derived by weighting the annual growth rates of the indi vidual components, where the weights are the income shares of each component averaged over the current and preceding year, a Tomqvist index. Within each sector, total income is equal to the sum of labor compensation of all employees (labor income), corporate property income (capital income), and proprietors’ income. The labor compensation data for employees are readily available from the national accounts. However, proprietors’ income is the total return to the proprietors’ own labor and capital. Because this income reflects returns to both factors of production, it is necessary to develop a method to allocate the income between the two factors. Various assumptions can be made to do this. For exam ple, production worker earnings can be imputed to the selfemployed, but this frequently results in negative nonlabor proprietor income (which is obtained as a residual). Con versely, the rate of return on capital in the corporate sector can be applied to the proprietors’ capital, but this frequently yields negative proprietors’ labor income. In the b l s measures, proprietor hours are given the same average wages received by paid employees, and capital in come is measured by assigning noncorporate capital the same rate of return as corporate capital. The sum of these computed values is compared with reported noncorporate income in the national accounts, and both the derived labor and capital income are scaled to agree with the reported levels. The combined input index, then, is derived by weighting the labor input index by the derived compensation share of total income, and the capital input index by the income share of capital. In the derivation of the two-digit industry and the specific industry multifactor measures, the output measure is a gross output index including the value of purchased materials and services. The corresponding factor input measure reflects intermediate materials and purchased services as well as the labor and capital inputs. These are combined with share weights also; in this case, the sum of the labor, capital, and intermediate shares will equal one. Inadequacies remain, despite progress Measurement of productivity change is not a simple task. Despite recent progress, it is clear that inadequacies remain in the data available for measurement of both labor and multifactor productivity. In addition, multifactor productiv ity measurement presents challenging problems of shaping sometimes imperfect data into empirical measures that take advantage of recent theoretical advances. While multifactor productivity measures are useful for understanding factors affecting the traditional productivity movements, and many such measures have been developed, it is important to rec ognize that they do not have the same degree of precision that the labor productivity measures have. In estimating them, many more assumptions have to be made, particularly with regard to measuring capital input. Despite problems, improvements in the measures have been made and, undoubtedly, more will follow. For exam ple, better price data for developing constant-dollar output and capital and intermediate material input measures are now available. Better estimates of rental prices for aggregat ing the heterogeneous capital stocks have been developed. Even the output per hour measures are being improved using more appropriate hours information and developing adjust ments for changes in the composition of the work force. Improvements in the procedures for measuring productiv ity must and will continue to be made. Productivity meas ures of high quality can shed light on policy issues of great importance, including questions on the best means of in creasing the efficiency of economic resources, the ability of the economy to expand without adding to inflationary pres sures, and the determinants of a country’s competitive posi tion in international markets. □ -FOOTNOTES 1 See David W. Cartwright, “Improved Deflation of Purchases of Com puters,” Survey of Current Business, March 1986, pp. 7 -1 0 . 2 Input-output data are available for 1947, 1958, 1963, 1972, and 1977, and estimated data have been developed for the 1967-80 period. 3 See Jacob Mincer, Schooling Experience, and Earnings (New York and London, Columbia University Press, 1974); and Gary Becker, Human Capital (Chicago and London, University of Chicago, 1975). 4 C. R. Hulten and F. C. W ykoff, “The Estimation of Economic Depre ciation Using Vintage Asset Prices,” Journal of Econometrics, 1981, pp. 3 6 7-96. 5 See Trends in Multifactor Productivity, 1948-81, Bulletin 2178 (Bu reau of Labor Statistics, 1983). 6 See John W. Kendrick, “Productivity Trends in the United States,” in Shlomo Maital and Noah M. Meltz, eds., Lagging Productivity Growth (Cambridge, m a , Ballinger Publishing C o., 1980); Edward F. Denison, Accounting for Slower Economic Growth (Washington, The Brookings Institution, 1979); and Frank M. Gollop and Dale W. Jorgenson, “U .S. Productivity Growth by Industry, 1947—1973,” in John W. Kendrick and https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Beatrice N. Vaccara, eds., New Developments in Productivity Measure ment and Analysis (Chicago, The University of Chicago Press, 1980), pp. 17-124. 7 The foundations for the use of rental prices in asset aggregation were set forth in Laurits R. Christensen and Dale W. Jorgenson, “The Measure ment of U .S. Real Capital Input, 1929-1967,” Review of Income and Wealth, December 1969, pp. 292-320. Their analysis proceeds from the assumption of equilibrium of supply and demand in the rental market and develops a rental price equation. Rental prices derived from this equation are assumed to reflect the stock’s marginal products. The equation reflects, among the determinants of rental prices, depreciation costs, and the rate of return in the form of interest and profits. These costs are reduced by inflation in the value of the asset and adjusted for tax considerations. 8 Manvel D. Allan, “Trends in the Value of Real Estate and Land 1956-1966,” Three Land Research Studies (Washington, National Com mission on Urban Problems, 1966). 9 Michael J. Harper, Ernst R. Bemdt, and David O. Wood, “Rates of Return and Capital Aggregation Using Alternative Rental Prices” (Bureau of Labor Statistics, unpublished working paper, 1986). 11 International trends in productivity and unit labor costs in manufacturing U.S. output per hour exceeded the rates of gain in 8 of 11 other industrial countries in 1985, but U.S. unit labor costs rose 2.7 percent relative to the trade-weighted average of the other nations after adjustment for the dollar’s appreciation A rthur N eef Labor productivity, as measured by output per hour, rose 4.4 percent in manufacturing in the United States in 1985. This exceeded the rates of gain recorded by Canada and 7 of 9 European countries studied— France, Italy, the United Kingdom, Denmark, the Netherlands, Norway, and Swe den. However, two major trade competitors, Japan and West Germany, along with Belgium, had larger increases. Manufacturing output rose in each country, but the in creases recorded by the United States and most of the other countries were substantially less than in the preceding year and only Canada, Japan, Denmark, and Norway had in creases in both employment and aggregate hours. Unit labor costs, which reflect changes in productivity and hourly compensation costs, rose less in the United States, at 0.6 percent, than in Canada or in the seven Eu ropean countries with smaller productivity gains. Germany and Belgium, however, had about equally small increases, and unit labor costs fell in Japan. The relative value of the U.S. dollar began to fall during 1985, but on an annual average basis the U.S. dollar was up by 0.4 percent over 1984 compared with the Japanese yen, by 5 percent com pared with the Canadian dollar, and by 2 to 9 percent com pared with the European currencies. Consequently, when measured on a U.S. dollar basis, unit labor costs declined in Belgium, Canada, Germany, Italy, and the Netherlands, as well as in Japan. Only the three Scandinavian countries had larger increases than the United States. Measured on a Arthur N eef is chief o f the Division of Foreign Labor Statistics, Bureau of Labor Statistics. He was assisted by Division economists Harry Boissevain, Christopher Kask, and James Thomas. 12 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis national currency basis, U.S. unit labor costs fell 0.5 per cent relative to a trade-weighted average of the other 11 countries; adjusted for the dollar’s appreciation, U.S. rela tive unit labor costs rose 2.7 percent. This article examines comparative annual average percent changes in manufacturing labor productivity and labor costs through 1985 in the United States and 11 other industrial nations.1 The comparisons are limited to trend measures only; reliable level comparisons of manufacturing produc tivity and unit labor costs are not available.2 The measures for 1985 are preliminary. Data for other years are also sub ject to some revision as countries revise the underlying statistics used to construct the measures.3 The Canadian productivity and labor cost series are in the process of being revised because of a benchmark revision of the Canadian national accounts, including a shift in the base year from 1971 to 1981 for the series at constant prices, and a major historical revision in the labor income series. The revised measures were not available for inclusion in this article.4 The article also provides comparisons of changes in U.S. manufacturing productivity and labor costs relative to a trade-weighted average of the 11 other countries. The rela tive measures were constructed by taking the ratio of the U.S. indexes to weighted geometric averages of the corre sponding indexes for the other 11 countries. The weights used to combine the other 11 countries’ indexes into an average “competitors” index reflect the relative importance of each country as a manufacturing trade competitor as of 1980.5 Productivity trends The U.S. productivity gain of about 4\ percent in 1985 was somewhat stronger than the average trade-weighted gain of 4 percent recorded by the 11 foreign competitor nations, although below the 5- to 5|-percent increases recorded by Japan and Germany. (See table 1.) In the 3 years from 1982 to 1985, the U.S. average increase of 4.7 percent was about equal to the average 5-percent increase of the 11 foreign nations, most of which had average annual gains between about 4 and 5^ percent. On the upside, Japan and the Netherlands registered nearly 6 and 7 percent and on the downside, Denmark and Norway posted 1.5 and 3 per cent. As pointed out in previous articles,6 all 12 countries have had productivity slowdowns since about 1973 as compared with the period 1960 to 1973. The addition of 1985 data does not change this pattern. However, the U.S. productiv ity gains for each of the 3 years between 1982 and 1985 exceeded the U.S. average rate of gain between 1960 and 1973. The United Kingdom was the only other country to exceed its pre-1973 rate over the 1982-85 period. Output and labor input. U.S. manufacturing output growth slowed from 11 percent in 1984 to about 4 percent in 1985. (See table 2.) Most of the other countries also had smaller output gains in 1985 than in the preceding year. A notable exception was Germany, where output rose 5 per cent— Germany’s largest annual increase since 1976. The slowdown in U.S. manufacturing output growth did not result in a lower rate of productivity growth because total worker hours, which rose 6 | percent in 1984, were reduced by 0.5 percent in 1985. (See table 3.) This has not been typical of the United States, where manufacturing out put increases of 2 percent or more are normally accompa nied by increases in employment and hours. It corresponds more closely to recent developments in many of the Eu ropean countries, where employment and hours have fre quently continued to decline even in years of relatively large output increases. In 1985, however, total manufacturing hours rose along with output in Denmark and Norway and remained about unchanged in Sweden and the United King dom. Employment rose strongly in Denmark and increased Table 1. in Germany, the Netherlands, Norway, and Sweden. Em ployment and hours also rose in Canada and Japan, but at reduced rates from 1984. The rise in Dutch manufacturing employment was the first annual increase since 1970; the increase in Norwegian employment was the first since 1977. British employment remained nearly stable after falling in 9 of the previous 10 years. However, employment in Belgium and France continued to fall for the 11th consecutive year. The tabula tion below shows the peak year for manufacturing employ ment in each of the 12 countries and the level of employ ment in 1985 relative to the peak employment year and relative to 1973. The latter was one of very large output increases in each country, but not the peak employment year for any country. Peak em ploym ent year Japan ..................... Canada ................... United States ........ Denmark ............... Italy ....................... Norway ................. S w eden................... Germany ............... France ................... Netherlands ........... Belgium ................. United Kingdom .. ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ ........ 1985 index P eak = 100 1973=100 100 95 92 92 87 85 84 81 81 70 65 64 101 100 96 94 89 88 89 83 82 76 66 70 1985 1979 1979 1965 1974 1974 1965 1970 1974 1965 1974 1966 H o u r l y c o m p e n s a tio n a n d u n i t l a b o r c o s ts Hourly compensation costs— which include wages and salaries, supplements, and employer payments for social security and other employee benefit plans— rose 2\ percent between 1984 and 1985 in Japan; about 5 to 6 percent in the United States, Canada, France, Germany, Belgium, Den mark, and the Netherlands; and 7 to 10 percent in Italy, the United Kingdom, Norway, and Sweden. As shown in table 4, all countries recorded slower increases in 1985 compared with their 1973-85 trend rates. Japan, which had the largest increases in hourly compen sation in the 1960’s and among the largest increases in the Annual percent changes in manufacturing productivity, 12 countries, 1960-85 F o r e ig n U n it e d Year C anada Japan F ra n c e G e rm a n y It a ly S ta te s Output per hour: 1960-85 .............. 1960-73 ............ 1 9 7 3 -8 5 ............ 2.7 3.2 2.2 3.4 4.7 1.9 1973-79 ............ 1979-85 ............ 1.4 3.1 2.2 1.7 1984 ................... 1985 ................... 4.1 4.4 3.7 3.2 B e lg iu m D e n m a rk N e t h e r la n d s N o rw a y Sw eden c o u n t r ie s ( w e ig h t e d ) 1 5.5 6.5 4.4 4.8 5.8 3.7 5.4 7.3 3.5 3.5 4.3 2.7 6.5 6.9 6.0 4.8 6.4 3.0 6.2 7.4 5.0 3.2 4.3 2.1 4.7 6.4 3.0 5.4 6.8 3.9 5.5 ‘ 5.7 5.0 3.8 4.3 3.2 3.3 3.7 1.2 4.2 6.2 5.7 4.2 1.9 5.5 4.4 2.1 2.0 2.6 3.3 3.9 3.9 7.0 5.0 3.9 3.3 3.7 5.6 5.4 3.1 4.5 3.4 3.5 4.6 1.0 .7 10.7 3.1 2.6 .9 4.4 2.7 5.0 4.1 8.0 10.3 5.6 1 A trade-weighted average of the 11 foreign countries. See description of weights in text. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis U n it e d K in g d o m No t e : Rates of change based on the compound rate method. 13 MONTHLY LABOR REVIEW Table 2. December 1986 • International Trends in Productivity Annual percent changes in manufacturing output, 12 countries, 1960-85 U n it e d Year S ta te s Canada Japan F ra n c e G e rm a n y Ita ly U n it e d K in g d o m B e lg iu m D e n m a rk N e t h e r la n d s N o rw a y Sw eden Output: 1960-85 ............ 1960-73 ......... 1973-85 ......... 3.4 4.8 1.9 4.2 6.5 1.7 9.3 12.8 5.6 4.6 7.3 1.7 3.3 5.2 1.3 4.6 7.0 2.0 1.2 3.0 -.8 4.2 6.6 1.6 3.8 5.3 2.2 3.8 6.0 1.5 2.5 4.6 .1 3.1 5.1 1.1 1973-79 .......... 1979-85 .......... 1.9 1.8 2.7 .6 3.6 7.5 3.1 .4 1.7 .8 3.1 1.0 -.7 -.9 1.5 1.6 1.6 2.8 1.7 1.4 .1 .1 .5 1.6 1984 ................ 1985 ................ 10.8 3.8 8.2 4.6 11.4 6.4 1.0 .2 2.7 5.0 3.7 1.8 3.9 3.2 1.7 .9 5.8 5.3 5.5 2.1 2.5 2.4 6.0 2.0 Note: Rates of change based on the compound rate method. first half of the 1970’s, has had the smallest average rate of increase in the 1980’s— about 4 percent. The only other countries with average gains of 6 percent or less since 1980 are the United States, Germany, and the Netherlands. Unit labor costs, which reflect changes in both labor productivity and hourly compensation, fell for the fourth consecutive year in Japan as productivity continued to climb more than hourly compensation. Manufacturing unit labor costs were about unchanged in 1985 in Belgium. Unit labor costs rose only about 0.5 percent in the United States and Germany. In the previous 2 years, unit labor costs fell 3 percent in the United States and rose only 0.5 percent in Germany. Canada and the other European countries had 1985 increases of 2 to 7 percent. cantly influenced by 1985 changes in currency exchange rates, as they were in the previous 4 years. The value of the U.S. dollar began to fall during 1985 relative to the Japanese yen and the European currencies, but measured on an annual average basis, the U.S. dollar was largely unchanged rela tive to the yen and rose about 2 to 5 percent relative to the currencies of Canada and all of the European countries ex cept Italy. The dollar rose 8 percent relative to the Italian lira. Consequently, manufacturing unit labor costs on a U.S. dollar basis declined in Canada, Germany, Italy, Belgium, and the Netherlands as well as in Japan. On a national currency basis, 8 of the 11 foreign countries had larger unit labor cost increases than the United States; on a U.S. dollar basis, only the three Scandinavian countries had larger in creases. The strong gain of the U.S. dollar relative to most other currencies began about 1980. As of 1985 (annual average), Unit labor costs in U.S. dollars Unit labor costs measured in U.S. dollars were signifi Table 3. Annual percent changes in manufacturing employment and hours, 12 countries, 1960-85 Year U n it e d S ta te s Canada Japan F ran ce G e rm a n y It a ly U n it e d K in g d o m B e lg iu m D e n m a rk N e t h e r la n d s N o rw a y Sw eden Aggregate hours: 1960-85 .............. 1960-73 ............ 1973-85 ............ 0.6 1.6 -.3 0.8 1.8 -.3 1.1 2.3 -.1 -0 .8 .8 -2 .6 -1 .5 -.6 -2 .4 - 0 .8 -.2 - 1 .4 - 2 .3 - 1 .2 - 3 .4 -2 .2 -.3 -4 .2 -0 .9 -1 .1 -.8 -2 .2 -1 .2 -3 .2 -0 .9 .3 -1 .9 - 1 .5 - 1 .2 -1 .8 1973-79 ............ 1979-85 ............ .5 -1 .2 .5 - 1 .0 -1 .8 1.7 - 1 .9 - 3 .3 -2 .5 -2 .3 -.2 - 2 .6 -1 .8 -4 .9 -4 .5 -3 .8 -2 .5 .9 -3 .6 - 2 .9 -1 .9 -1 .8 -2 .0 -1 .6 1984 ................... 1985 ................... 6.4 -.5 4.4 1.4 4.1 1.3 - 2 .8 - 3 .0 -.9 -.5 -1 .6 -1 .2 -.5 -.2 -1 .8 -3 .5 4.7 4.6 - 4 .7 -1 .0 -.2 1.4 1.5 -.6 1960-85 .............. 1960-73 ............ 1973-85 ............ .6 1.4 -.3 1.0 1.9 0 1.7 3.3 .1 -.1 1.3 -1 .7 -.5 .4 - 1 .6 .4 1.6 - 1 .0 - 1 .7 -.6 -2 .9 -1 .3 .8 -3 .4 0 .5 -.5 -1 .1 .1 - 2 .3 .1 1.3 -1 .1 -.5 .1 -1 .0 1973-79 ............ 1979-85 ............ .8 -1 .4 .8 -.8 -1 .5 1.7 -.9 -2 .4 - 1 .6 -1 .6 .3 - 2 .2 -1 .4 -4 .4 -3 .4 - 3 .5 -2 .0 1.0 -2 .3 -2 .3 -.2 -1 .9 -.5 -1 .5 1984 ................... 1985 ................... 4.9 -.5 4.4 .7 2.9 1.9 -2 .9 -3 .0 -.9 1.1 -4 .0 -2 .3 -1 .2 -.2 -1 .2 -6 .3 5.0 6.9 -2 .0 1.6 -1 .3 1.2 .7 .3 1960-85 .............. 1960-73 ............ 1973-85 ............ .1 .2 0 -.2 -.2 -.3 -.6 -1 .0 -.1 -.7 -.5 -1 .0 -.9 - 1 .0 -.8 -1 .1 -1 .8 -.5 -.6 -.7 -.5 -.9 -1 .1 -.7 - 1 .0 - 1 .6 -.3 -1 .2 -1 .3 -1 .0 -.9 - 1 .0 -.8 -1 .1 -1 .3 -.8 1973-79 ............ 1979-85 ............ -.2 .2 -.4 -.2 -.3 .1 -.9 -1 .0 -.9 -.7 -.5 -.4 -.5 -.5 -1 .1 -.3 -.5 -.1 -1 .3 -.6 - 1 .7 .1 - 1 .6 -.1 1984 ................... 1985 ................... 1.4 -.1 -.1 .7 1.2 -.6 .1 0 0 -1 .6 2.5 1.1 .7 0 -.6 3.0 -.3 -2 .2 -2 .8 -2 .5 1.2 .3 .8 -.9 Employment: Average hours: Note: Rates of change based on the compound rate method. 14 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis the Japanese yen was only 5 percent below its 1980 value. However, the Canadian dollar was down to 86 percent of its 1980 value, relative to the U.S. dollar, and the European currencies ranged between about 45 and 60 percent of their 1980 values. The following tabulation shows the effect of these exchange rate changes by comparing the average an nual percentage changes in each country’s unit labor costs between 1980 and 1985, as measured on a national currency basis and on a U.S. dollar basis: N ational currency U.S. dollars United States ......................................................... 2.1 2.1 (Trade-weighted average, 11 countries)............. 3.1 —4.3 C a n a d a .................................................................... 5.4 Japan .................................................................... —1.2 Norway .................................................................. 7.0 Italy ...................................................................... 11.9 Denmark ................................................................ 6.2 2.1 —2.3 —4.2 —4.7 —6.5 United Kingdom ................................................... 3.9 Germany ................ 1.8 France .................................................................... 7.4 S w eden.................................................................... 5.5 Netherlands ....................................................................1 Belgium .................................................................. 1.2 —7.6 - 7 .6 —7.7 —8.4 —9.7 —12.2 Expressed in national currencies, 7 of the 11 foreign coun tries had greater increases in unit labor costs than the United States. Taking into account the appreciation of the dollar since 1980, only one country besides the United States— Table 4. Canada— had an increase in unit labor costs. Unadjusted for exchange rate changes, Japan improved its relative competitive position more than any of the other 11 countries, with an overall decline in unit labor costs between 1980 and 1985. However, because of the sharp relative depreciations of all of the European currencies, all nine European countries had larger declines in unit labor costs than Japan after adjustment for relative changes in exchange rates. The countries that most improved their competitive positions were those with small increases in unit labor costs in national currency terms and large relative currency depreciations, such as Belgium and the Nether lands. Table 5 shows annual percent changes in U.S. unit labor costs, average trade-weighted “competitors” unit labor costs, and the U.S. relative measures. Recent exchange rate changes The comparative measures in this article are based on annual average measures. Therefore, the 1985 trend meas ures of unit labor costs on a national currency basis have been adjusted to a U.S. dollar basis using annual average exchange rates for 1985. As noted earlier, the U.S. dollar in 1985 was largely unchanged relative to the Japanese yen on an annual average basis and rose between 2 and 9 percent relative to the currencies of the other 10 countries. How ever, by the end of 1985, the U.S. dollar had depreciated strongly against the yen and most European currencies and the dollar continued to depreciate during 1986. Table 6 provides a comparison of October 1986 exchange rates and Annual percent changes in hourly compensation and unit labor costs in manufacturing, 12 countries, 1960-85 F o r e ig n Year U n it e d S ta te s C anada Japan F ran ce G e rm a n y It a ly U n ite d K in g d o m B e lg iu m D e n m a rk N e t h e r la n d s N o rw a y Sw eden c o u n t r ie s ( w e ig h t e d ) 1 Houriy compensation: 1960-85 ............ 1960-73 .......... 1 9 7 3 -8 5 .......... 6.5 5.0 8.2 8.1 6.2 10.3 11.9 15.1 8.6 12.1 10.0 14.4 9.1 10.3 7.7 15.9 13.6 18.4 12.1 9.3 15.1 10.9 11.0 10.7 11.6 12.2 10.9 10.7 12.9 8.4 10.7 10.0 11.6 11.2 10.5 11.9 10.9 10.9 10.8 1 9 7 3 -7 9 .......... 1 9 7 9 -8 5 .......... 9.5 6.9 12.2 8.3 12.8 4.6 16.3 12.5 9.5 6.0 20.6 16.1 19.2 11.2 14.0 7.5 14.0 7.9 11.6 5.2 13.4 9.8 14.2 9.7 13.8 8.0 1984 ................. 1985 ................. 3.6 5.0 1.5 5.1 2.9 2.5 8.8 5.9 4.8 6.0 8.4 10.2 7.1 7.3 8.3 4.8 5.6 5.6 4.8 5.3 8.5 7.7 9.5 10.1 4.7 5.3 Unit labor costs: 1960-85 ............ 1960-73 ......... 1973-85 .......... 3.7 1.8 5.8 4.6 1.4 8.2 3.6 4.3 2.8 6.2 3.3 9.5 4.1 4.3 3.9 9.9 5.9 14.3 8.3 4.8 12.1 4.1 3.8 4.5 6.5 5.5 7.6 4.3 5.2 3.3 7.3 5.4 9.3 6.2 3.9 8.7 5.2 3.8 6.7 1973-79 ......... 1 9 7 9 -8 5 .......... 8.0 3.7 9.8 6.6 6.9 -1 .1 10.7 8.3 4.9 2.8 16.7 12.0 17.9 6.7 7.4 1.7 9.4 5.9 5.8 .8 11.1 7.6 11.2 6.2 9.5 4.0 1984 ................. 1985 ................. -.5 .6 -2 .1 1.9 -3 .9 -2 .5 4.7 2.5 1.0 .5 2.8 7.0 2.5 3.7 4.6 .2 4.5 4.8 -5 .4 2.1 5.8 6.7 4.8 7.3 -.3 1.1 Unit labor costs in U.S., dollars: 1960-85 ............ 1960-73 ......... 1 9 7 3 -8 5 ......... 3.7 1.8 5.8 3.2 1.2 5.4 5.3 6.6 3.9 3.7 4.1 3.3 5.5 8.0 3.0 5.0 6.4 3.6 5.0 3.7 6.4 3.4 5.8 .9 4.7 6.6 2.7 4.8 7.7 1.7 6.5 7.2 5.7 4.0 5.3 2.7 4.6 5.1 4.1 1 9 7 3 -7 9 ......... 1979-85 ......... 8.0 3.7 7.0 3.9 10.8 -2 .5 11.5 -4 .4 11.6 -5 .0 10.0 -2 .5 15.1 -1 .7 12.5 -9 .6 11.9 -5 .8 11.7 -7 .3 13.4 -1 .4 11.5 -5 .5 10.8 -2 .2 1984 ................ 1985 ................ -.5 .6 -6 .8 -3 .4 -3 .8 -2 .9 -8 .7 -.3 -9 .3 -2 .8 -1 1 .0 -1 .6 -9 .6 .7 -7 .4 -2 .5 -7 .7 2.4 -1 5 .8 -1 .3 -5 .3 1.3 -2 .8 3.1 -7 .4 -2 .0 1 A trade-weighted average of the 11 foreign countries. See description of weights in text. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Note: Rates of change based on the compound rate method. 15 MONTHLY LABOR REVIEW December 1986 • International Trends in Productivity were up 10 to 46 percent. Whether U.S. relative unit labor costs will fall in 1986 in line with the depreciation of the U.S. dollar will, of course, depend on comparative 1986 developments in productivity and hourly compensation costs. As of the first three quarters of 1986, U.S. manufac turing unit labor costs were up only 0.3 percent over the first three quarters of 1985. While the relative values of the Japanese yen and the European currencies rose strongly in 1986, only the Japanese yen has increased in value over 1980. The relative values of the European currencies, which in 1985 ranged between 45 and 60 percent of their 1980 values, ranged between 60 and 90 percent of their 1980 values as of Octo ber 1986. Table 5. Relative annual percent changes in U.S. unit labor costs in manufacturing, 1960-85 Year U n it e d S t a t e s 11 f o r e ig n c o u n t r ie s 1 R e la t iv e m e a s u r e s 2 Unit laborcosts in national currency: 1 9 6 0 -8 5 ................... 1960-73 .............. 1973-85 .............. 3.7 1.8 5.8 5.2 3.8 6.7 - 1 .4 - 2 .0 -.9 1973-79 .............. 1979-85 .............. 8.0 3.7 9.5 4.0 - 1 .4 .3 1980-85 .............. 1 9 8 1 ................. 1982 ................. 1983 ................. 1984 ................. 1985 ................. 2.1 7.3 6.2 -2 .5 -.5 .6 3.1 8.2 5.7 .9 -.3 1.1 -.9 -.8 .4 -3 .4 1 9 6 0 -8 5 ................... 1960-73 .............. 1973-85 .............. 3.7 1.8 5.8 4.6 5.1 4.1 -.9 -3 .2 1.6 1973-79 .............. 1979-85 .............. 8.0 3.7 10.8 -2 .2 -2 .5 6.0 1980-85 .............. 1 9 8 1 ................. 1982 ................. 1983 ................. 1984 ................ 1985 ................. 2.1 7.3 6.2 -2 .5 -.5 .6 -4 .3 -3 .1 -5 .5 -3 .4 - 7 .4 -2 .0 6.7 10.7 12.3 1.0 7.4 2.7 -.2 -.5 Unit laborcosts in U.S. dollars: 1 A trade-weighted average of the 11 foreign countries. 2 Ratio of U.S. measure to the trade-weighted measure for the 11 foreign countries. Note: Rates of change based on the compound rate method. January-October 1986 exchange rates relative to annual av erage 1985 and 1980 exchange rates. As the table shows, while the Canadian dollar continued to depreciate slightly, the Japanese yen as of October 1986 had risen 52 percent in value relative to the U.S. dollar over the annual average of 1985 and the European currencies Table 6. Exchange rates and trade. Because of the 1985-86 depre ciation of the U.S. dollar, many commentators have ex pected significant improvement in the U.S. trade balance. However, two important facts are often overlooked. The U.S. dollar has not depreciated against the Canadian dollar, and Canada accounted for 20 percent of U.S. manufactured imports, for 25 percent of U.S. manufactured exports, and for 12 percent of the U.S. trade deficit in manufactured products in 1985. Of possibly greater significance, the U.S. dollar has not depreciated against the currencies of most of the Asian and Latin American countries or areas that are frequently referred to as the newly industrializing coun tries— such as Hong Kong, Singapore, South Korea, Tai wan, Brazil, and Mexico. Table 6 also shows exchange rate indexes for these 6 countries and areas, along with 1985 U.S. trade weights (percent of U.S. imports and exports of manufactured goods) and percent of the U.S. trade deficit in manufactured goods for the 6 and for the 11 foreign coun- Exchange rate indexes, 18 countries or areas, 1980-86 [Value of foreign currency relative to the U.S. dollar] In d e x : 1 9 8 5 = 1 0 0 In d e x : 1 9 8 0 = 1 0 0 T r a d e w e ig h t s 1 C o u n try 1985 J a n .-O c t. O c to b e r 1986 1986 1980 1985 J a n .-O c t. O c to b e r 1986 1986 (p e rc e n t) U .S . t r a d e d e f ic it 2 (p e rc e n t) United S ta te s .................................... 100.0 100.0 100.0 100.0 100.0 100.0 100.0 Canada ............................................. Ja pa n .................................................. France ................................................ G e rm a n y ........................................... I ta ly .................................................... United K in g d o m ............................... 100.0 100.0 100.0 100.0 100.0 100.0 98.2 141.5 128.5 133.9 126.7 113.6 98.4 152.4 136.8 146.7 137.6 109.9 100.0 100.0 100.0 100.0 100.0 100.0 85.6 95.0 47.0 61.8 44.9 55.8 84.1 134.4 60.5 82.8 56.8 63.4 84.2 144.8 64.4 90.6 61.7 61.3 21.7 18.3 3.1 5.9 2.8 4.5 12.1 36.3 3.2 10.4 5.4 .6 B e lg iu m ............................................. D e n m a rk ........................................... N ethe rla n ds...................................... N o rw a y ............................................. S w e d e n ............................................. 100.0 100.0 100.0 100.0 100.0 131.5 129.5 134.0 116.6 120.1 142.5 140.2 146.4 116.7 124.9 100.0 100.0 100.0 100.0 100.0 49.3 53.2 59.9 57.5 49.2 64.8 68.9 80.2 67.0 59.1 70.2 74.5 87.7 67.1 61.4 1.6 .4 2.0 .2 1.2 -.8 .9 - 1 .7 0 2.0 B ra z il.................................................. Hong Kong ...................................... Mexico ............................................. Singapore ........................................ South Korea .................................... Taiwan ............................................. 100.0 100.0 100.0 100.0 100.0 100.0 46.1 99.8 48.0 101.2 97.1 104.5 44.4 99.9 33.0 101.1 98.0 108.8 100.0 100.0 100.0 100.0 100.0 100.0 (3) 63.9 (3) 63.8 (3) 63.8 (3) 97.3 70.5 90.3 (3) 98.5 68.5 94.3 (3) 98.3 69.1 98.3 1.9 2.3 4.7 1.6 3.1 4.2 3.6 5.3 -1 .8 .7 5.2 11.9 1 Percent of total U.S. imports and exports of manufactured goods in 1985, excluding special category exports (military goods sent out under Department of Defense contracts). Weight for Belgium is Belgium-Luxembourg combined. 16 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis - 2 Percent of U.S. trade deficit in manufactured goods in 1985. See footnote 1. 3 Not relevant unless adjusted for inflation. - tries covered by the comparative unit labor cost measures. The six newly industrializing countries and areas ac counted for 18 percent of U.S. trade in manufactured goods in 1985 and for 25 percent of the trade deficit in manufac tured products. For comparison, the nine European coun tries covered by this article accounted for 22 percent of U.S. trade and 20 percent of the deficit. As of October 1986, the relative value of the Taiwan dollar was up moderately against the U.S. dollar but the Hong Kong and Singapore dollars and the South Korean won were little changed from their 1985 values. The relative values of the currencies of Brazil and Mexico were only about half of their average 1985 values as of October 1986, but, in large part, this reflects sharply higher prices. A more meaningful compari son among countries with markedly different price develop ments is a real exchange rate index, that is, one adjusted for relative differences in inflation. Inflation-adjusted exchange rate indexes for Brazil and Mexico (1985 = 100) were, re spectively, 108 and 82 in the first half of 1986. The principal trade-weighted dollar exchange rate indexes are those published by the Board of Governors of the Fed eral Reserve System, the Department of the Treasury, the International Monetary Fund, and the Morgan Guaranty Trust Co. of New York. All of these indexes show a sharp depreciation of the U.S. dollar since early 1985, but, while all four indexes include Canada, they all exclude the six newly industrializing countries and areas of Asia and Latin America. An exchange rate index including these countries was recently developed by senior economist W. Michael Cox of the Federal Reserve Bank of Dallas.7 His index, which covers 131 U.S. trading partners, shows only a 6- percent depreciation of the U.S. dollar between March 1985 and May 1986, while the other four indexes show depreciations ranging from about 18 percent up to 34 per cent.8 The differentials between the Cox index and the other four would probably be less on an inflation-adjusted basis. An inflation-adjusted index computed by Cox shows a 7- percent depreciation of the U.S. dollar between the first and fourth quarters of 1985, compared with a nominal 2-percent depreciation over the same period.9 1 The data relate to all employed persons, including the self-employed, in the United States and Canada, and to all wage and salary employees in the other countries. Hours refer to hours paid in the United States and to hours worked in the other countries. counts were rebased to 1982, the entire constant dollar series was revised. 2 The Bureau does not prepare level comparisons of manufacturing pro ductivity and unit labor costs because of data limitations and technical problems in comparing the levels of manufacturing output among coun tries. Each country measures total manufacturing output in its own currency units. To compare outputs among countries, a common unit of measure— such as the U .S. dollar— is needed. However, satisfactory conversion factors are not available for the manufacturing sector. Market exchange rates are not suitable as a basis for comparing output levels. What are needed are purchasing-power-parity ( ppp) exchange rates, that is, the num ber o f foreign currency units required to buy goods and services equivalent to what can be bought with one unit of U .S. currency. Reasonably reliable ppp exchange rates are available for total gross domestic product ( g d p ) and are used by the Bureau for comparing levels of total g d p . See Michael Ward, P u r c h a s in g P o w e r P a r itie s a n d R e a l E x p e n d itu r e s in th e OECD (Paris, Organization for Economic Cooperation and Development ( o e c d ), 1985); and Peter Hill, I n te r n a tio n a l P r ic e L e v e ls a n d P u r c h a s in g P o w e r P a r itie s , o e c d Economic Studies No. 6 (Paris, o e c d , Spring 1986). However, these ppp exchange rates are derived from the expenditure side o f the national accounts (consumer, business, and government final expen ditures for goods and services) and not from the output side of the accounts (gross product originating by industry). Therefore, they do not provide ppp exchange rates by industry. Some researchers have published level com parisons o f manufacturing productivity using either the ppp exchange rate for total g d p or a constructed ppp exchange rate based on selected final expenditures by consumers and businesses. However, there are large differ ences in ppp exchange rates for different categories of final expenditure and the author is not aware of any satisfactory justification for the use of either procedure for comparing manufacturing output levels, although a con structed ppp exchange rate that excludes government consumption expendi tures and consumer expenditures on services should prov ide a better ap proximation of a ppp exchange rate for the manufacturing sector than the ppp for total g d p . 3 This article includes revised statistics which have not yet been incorpo rated in “Current Labor Statistics,” table 47, this issue. 4 The output figures from 1981 forward will be based on 1981 price weights. The figures for earlier years will continue to be based on 1961 and 1971 price weights, although they will be expressed in 1981 constant dollar levels. This contrasts with the U .S. method; when the U.S. national ac https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 5 The trade weights were adapted from weights developed by the Interna tional Monetary Fund ( im f ). The original im f weights cover 17 countries; the 11 foreign countries covered by this article account for 94 percent o f the IMF 16 U .S. competitors’ total trade weight. For more information on the relative indexes, see Patricia Capdevielle, Donato Alvarez, and Brian Cooper, “International trends in productivity and labor costs,” M o n th ly L a b o r R e v i e w , December 1982, pp. 3 -1 4 . 6 For example, see Edwin Dean, Harry Boissevain, and James Thomas, “Productivity and labor cost trends in manufacturing, 12 countries,” M o n th ly L a b o r R e v ie w , March 1986, pp. 3 -1 0 . 7 See W. Michael Cox, “A New Alternative Trade-Weighted Dollar Exchange Rate Index,” E c o n o m ic R e v i e w , Federal Reserve Bank of Dal las, September 1986, pp. 2 0 -2 8 . In addition to introducing the new index, the article provides a comparison with the four principal indexes. Cox’s index differs from the other four primarily by its much broader coverage— 131 countries versus 10 to 22 countries. It also differs in that he uses annually moving rather than constant trade weights. Both the 1985 and 1986 indexes are based on 1985 weights, but the 1986 indexes will be revised when full-year 1986 trade data become available. During the period when the dollar was appreciating strongly, the five indexes show more similar results— a U .S. dollar appreciation between January 1980 and March 1985 ranging from 42 percent up to Cox’s 65.5 percent. For another recently compiled trade-weighted dollar exchange rate index that includes the major newly industrializing countries and areas, see Irwin L. Kellner “Why Our Trade Gap Persists,” M a n u fa c tu re rs H a n o v e r E c o n o m ic R e p o r t, September 1986. Kellner’s index covers the 17 largest U .S. trading partners and uses 1985 weights. It shows only about a 4-percent trade-weighted depreciation of the U .S. dollar between February 1985 and August 1986. 8 March 1985 to April 1986 for the Treasury index. All of the other four indexes include Canada, but with very different weights. As reported in Cox, the weights given to Canada are 9 percent in the Board of Governors index, 30 percent in the Morgan Guaranty Trust index, and 21 percent in the International Monetary Fund and his own index (1985 weight). 9 Information provided directly to the author by W. Michael Cox. Cox’s article did not include an inflation-adjusted index. The Morgan Guaranty Trust Co. publishes both nominal and real effec tive U .S. dollar exchange rates. They show virtually the same U .S. dollar depreciation— 24.0 and 24.7 percent, respectively, between March 1985 and July 1986. 17 U.S. productivity growth since 1982: the post-recession experience Gains in productivity during recoveries typically are greater than the long-term trend; increases for the current upturn are more modest than those recorded for similar postwar periods, although the manufacturing sector is performing well L aw rence J. F ulco Productivity in the business sector has grown at an average annual rate of 2.3 percent since 1947.1 Growth was more rapid before 1973 (3.0 percent) than after (0.9 percent), but throughout the postwar period, the business cycle has had pronounced effects on the rate of change in productivity. Table 1 shows these effects on productivity growth in the business, nonfarm business, and manufacturing sectors. There have been eight business cycle troughs since the end of World War II, the most recent of which occurred in the fourth quarter of 1982.2 (See exhibit 1.) The business cycle exerts an accelerating influence on productivity growth during recoveries and retards it during contractions. Since the 1982 trough, the b l s has analyzed movements in labor productivity— output per hour of all persons— for pur poses of comparing this recovery with similar periods in the past. The cycle’s effect on productivity is often explained in terms of the fixed nature of some inputs in the short run. Because the stocks of capital plant and equipment and the number of available skilled employees are not instanta neously adjustable, they remain to some extent fixed over the course of the cycle. Thus, when product demand in creases after a trough, firms are able to increase output more rapidly than capital and labor inputs, thereby inducing a swift rise in productivity. During a contraction the opposite occurs, giving rise to a procyclical pattern in productivity. Lawrence J. Fulco is a supervisory economist in the Office of Productivity and Technology, Bureau o f Labor Statistics. 18 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Productivity in the business sector3 has risen more rapidly during postwar recoveries (2.6 percent per year) than over the entire 1947-85 period (2.3 percent). The same is true for the more narrowly defined nonfarm business and manufac turing sectors. However, since the beginning of the produc tivity slowdown in 1973, the contrast between productivity advances during recoveries and the long-term trend in pro ductivity increase has become greater. Since 1973, the growth rate during recoveries has been more than 0.6 per cent higher than the long-term rate for business and nonfarm business, and 1.1 percent higher for manufacturing. In man ufacturing, the post-1973 slowdown has been smaller than in the more comprehensive business and nonfarm business sectors. (Manufacturing accounts for about one-fourth of the business sector output.) The current recovery The eight postwar recoveries are dissimilar, ranging in length from 4 to 35 quarters, trough to peak: T ro u g h October 1949 . . May 1954 ......... April 1958 February 1961 . November 1970 March 1975 . . . July 1980 ......... Mean ........... Q u a r te r s , tro u g h to p e a k 15 13 8 35 12 20 _4 15 By the second quarter of 1986, the current recovery had lasted 14 quarters, longer than all but three of the others. Chart 1. Productivity and related measures 14 quarters after the trough of the business cycle in the business and manufacturing sectors, current recovery versus average postwar recovery Index (Trough quarter = 100) https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Business Quarters index (Trough quarter = 100) Manufacturing Quarters 19 MONTHLY LABOR REVIEW December 1986 • Productivity Growth Since 1982 Because recoveries have differed so widely, it is not possi ble to draw any conclusions regarding the underlying growth rate of productivity based on experience during this part of the cycle. (For similar reasons, projections of the future course of productivity change are quite unreliable.) However, a comparison of the ongoing recovery with others which have also lasted at least 14 quarters reveals the fol lowing: Exhibit 1. Troughs and peaks of the eight postwar business cycles Trough October May April February November March July November • Productivity gains in the business sector have been the lowest of any similar recovery period. • In manufacturing, productivity gains have been much bet ter than in the total business sector and higher than previous experience. • Increases in hourly compensation have lagged consider ably behind past gains. Peak November July August April December November January July 1949 1954 1958 1961 1970 1975 1980 1982 1948 1953 1957 1960 1969 1973 1980 1981 creases, while manufacturing productivity rose more rapidly. The following tabulation presents annualized per cent changes in productivity, output, and hours in the sec ond quarter for major divisions of the economy. (Additional information appears in tables 42--44 of the Current Labor Statistics section of this issue.) • As a result, unit labor costs (compensation per unit of output) have grown quite slowly by historical standards. For the other recoveries, the average annual rate of busi ness productivity growth for the first 14 quarters was 3.1 percent; during the current recovery, productivity increased at only a 1.8-percent annual rate over the same time span. In manufacturing, the average 14-quarter recovery showed a 3.6-percent annual rate of growth; during this recovery, the rate of increase has been 4.4 percent. Chart 1 compares productivity and related measures for the average recovery and for the current upturn in business and manufacturing. Hourly compensation gains have been modest during the current upturn in all major sectors of the economy, and among both union and nonunion employees. Givebacks, smaller benefits packages, and two-tier pay plans, combined with slower growth in consumer prices, have been reflected in current-dollar hourly compensation growth of less than 4 percent during the last 14 quarters; the average annual increase for previous recoveries was about 6.5 percent in both business and manufacturing. Taken together, these trends have resulted in slow gains in compensation per unit of output during the current upturn. In fact, unit labor costs in manufacturing were actually somewhat lower in the second quarter of 1986 than in the third quarter of 1980. S ector P roductivity B u sin ess...................................... Nonfarm business ................. Manufacturing ................... Durable goods ............... Nondurable goods ......... Nonfinancial corporations . . . 0.5 .5 3.2 Output 0.3 1.0 7.0 - .3 H ours - 0 .2 .6 .1 - .4 - 3 .8 5.3 - 3 .5 - 4 .8 -1.6 -1.1 - .8 Business sector. Business sector productivity rose at a 0.5-percent annual rate during the second quarter of 1986, and hours declined for the first time since the recoveryexpansion phase of the business cycle began 14 quarters earlier. The business sector is the broadest sector for which productivity is measured, accounting for about four-fifths of gross national product ( g n p ). Hourly compensation rose moderately during the second quarter, but after adjustment for changes in the Consumer Price Index for All Urban Consumers ( c p i -u ) , 4 a strong increase occurred. With this increase, real hourly compen sation stood at its highest level since 1979. Real hourly compensation had advanced in every year but one from 1947 to 1978, but three consecutive years of declines occurred beginning with 1979. Growth resumed in 1982, but even so, real hourly compensation in the second quarter of 1986 remained somewhat lower than in 1978. Hourly compensa- Second-quarter results During the second quarter of 1986, productivity in the business and nonfarm business sectors showed slight in Table 1. Compound annual rates of change in productivity for selected sectors, trend versus recovery and contraction phases, 1947-85 T re n d N um ber P e r io d of c y c le s B u s in e s s N o n fa rm b u s in e s s C o n t r a c t io n M a n u f a c t u r in g B u s in e s s R e c o v e ry N o n fa rm b u s in e s s M a n u f a c t u r in g B u s in e s s N o n fa rm b u s in e s s M a n u f a c t u r in g ............................................................................... 8 2 .3 1 .9 2 .7 .6 .4 -.1 2 .6 2.1 1 9 4 7 - 1 9 7 3 ............................................................................ 5 3 .0 2 .5 2 .9 1 .3 1.1 -.2 3.1 2 .6 3 .3 1 9 7 3 - 1 9 8 5 ............................................................................ 3 .9 .7 2 .2 -.7 -.7 1 .7 1 .3 3 .3 1 9 4 7 -1 9 8 5 20 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis .0 3 .3 tion includes wages and salaries, supplements, and em ployer payments to employee benefit plans, and measures employer costs rather than employee income. Adjustment with the c p i -u translates these costs into real terms, by taking into account changes in the prices of consumption goods. The decline in the c p i -u was quite unusual in itself; over the past 25 years, there has only been one other quarter during which the c p i -u fell— the second quarter of 1961, for which a 0.1-percent drop was recorded. Unit labor costs are compensation expenses per unit of output, and thus are influenced by changes in both hourly compensation and productivity. In the second quarter of 1986, these important costs rose at an annual rate of only 2.3 percent. This small increase reflects the slow gains in hourly compensation which have characterized the entire recovery period and the small productivity gain in the sec ond quarter, as shown in chart 2. Business employment continued to grow during the sec ond quarter of 1986, but the pace was slower than was typical for earlier quarters of the recovery. In all, over 9.5 million jobs have been added to business payrolls since the expansion phase of the business cycle began early in 1983. At 88.4 million, the business sector accounts for about 77 percent of U.S. employment. Chart 2. Productivity and related measures in four major sectors of the economy, 1973-second quarter 1986 Ratio scale (1st quarter = 100) https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Ratio scale (1st quarter = 100) 21 MONTHLY LABOR REVIEW December 1986 • Productivity Growth Since 1982 Nonfarm business. Productivity movements in nonfarm business are, of course, not affected by developments on farms, which are included in the more comprehensive busi ness measure. Nonfarm productivity showed the same in crease as the business measure in the second quarter. Output rose more than in the business sector, and hours posted a small rise. These were the smallest increases in nonfarm output and hours during the current expansion. Hourly compensation increases in nonfarm business were modest in the second quarter, but the declining c p i -u re sulted in the largest quarterly gain in real hourly compensa tion since 1983. Unit labor costs rose 1.8 percent, reflecting the small rise in productivity and moderate increase in hourly compensation. Manufacturing. Although discussions of productivity often conjure up images of assembly-line production, man ufacturing has long accounted for a small part of all business hours. Manufacturing hours— employment times average weekly hours— have declined from about one-third of busi ness hours in the late 1960’s to less than one-fourth presently. Over the same period, manufacturing output has fallen relatively little as a portion of business output— from 29 percent in 1969 to 27 percent in 1986— reflecting the relatively faster rate of productivity growth in manufactur ing industries. During the second quarter of 1986, the productivity ad vance that occurred in manufacturing resulted mainly from a decrease in hours. Paid hours of all persons engaged in both durable and nondurable goods manufacturing declined. Output was cut back by a smaller amount overall, so produc tivity rose. This was the first time that both manufacturing output and hours have declined since the recovery began. Hourly compensation in manufacturing increased at a very modest 2.7-percent annual rate during second-quarter 1986. However, the decline in the c p i -u resulted in an in crease in real hourly compensation that was larger than any since 1982. Unit labor costs declined 0.5 percent in the second quarter. The decline in manufacturing hours was accomplished through cutbacks in both employment and average weekly hours. Employment, which stood at 19.5 million in the second quarter, had grown by about 1.3 million jobs in the first eight quarters of the recovery, but then declined by about 300,000 over the next six quarters. Nonfinancial corporations. Nonfinancial corporations ex perienced the third consecutive quarterly decrease in output per hour of all employees during the second quarter of 1986. This was also the first period since the fourth quarter of 1982 during which both output and hours declined. Hourly com pensation increased only 1.6 percent, and this is reflected in the moderate 1.9-percent rise in unit labor costs during the period. Unit nonlabor costs— capital consumption al lowances, interest, rental income of persons, and indirect business taxes— fell 2.7 percent, and unit profits rose at a 2.0-percent annual rate. The implicit price deflator, which reflects price movements in these costs and profits, rose 0.7 percent in the second quarter, the smallest increase since 1972. The nonfinancial corporate sector includes all corpora tions doing business in the United States with the exception of banks, insurance companies, stock and commodities bro kers, and finance and credit agencies. About 62 million jobs were provided by these corporations during the second quar ter of 1986, 7.7 million more than at the start of the recov ery. Labor input trends. Payroll hours in the business sector have increased at a surprisingly rapid pace during the present recovery. But in manufacturing, growth in paid hours during the last 14 quarters has been slower than during previous long recoveries. This implies that nonmanufactur ing firms have experienced very large hours increases dur ing the period. □ ------ FOOTNOTES----1 The bls labor productivity measures use labor input statistics derived primarily from two monthly bls surveys, the Current Employment Statis tics survey and the Current Population Survey. Output and compensation measures are based on quarterly data prepared by the Bureau o f Economic Analysis, U .S. Department of Commerce, as part of the National Income and Product Accounts. For the most recent quarters, the manufacturing output measure reflects movements in the monthly index of industrial production for durable and nondurable manufactures prepared by the Board o f Governors o f the Federal Reserve System. Further information on the computation o f bls productivity and cost measures can be found in Chapter 13 o f the b l s H a n d b o o k o f M e th o d s , Bulletin 2134-1 (Bureau o f Labor Statistics, 1982). 2 Business cycles are designated by the National Bureau of Economic 22 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Research, a private economic research organization based in Cambridge, MA. 3 The business sector excludes only those components of gross national product ( g n p ) for which independent measures of output and labor input are unavailable and components o f g n p for which no corresponding labor input measure is available. These are: general government, nonprofit institu tions, paid employees of private households, the rental value of owneroccupied housing, the rest-of-the-world sector, and the statistical dis crepancy in preparing the National Income and Product Accounts. The nonfarm business sector is the business sector less farms. The farm sector currently accounts for about 3 percent of business hours. 4 Hourly compensation measures are divided by the seasonally-adjusted quarterly average of the monthly Consumer Pricer Index for All Urban Consumers. Sensitivity of bls economic projections to exogenous variables The 1995 macroeconomic model has been most responsive to changes in fiscal spending and to changes in foreign economic activity; assumptions regarding energy have had little effect on the estimates N orman C. S aunders The Bureau of Labor Statistics conducts a comprehensive program of aggregate and industry-level employment pro jections on a biennial basis.1 Users of the projections should keep in mind that b l s (or others preparing similar projec tions) must make many assumptions regarding the behavior of factors which affect the future course of the U.S. econ omy. In addition, judgments are made about the response of the projections to these primary assumptions. In short, al though projections preparation and the use of models in preparing the projections may appear precise and scientific, developing economic projections is very much an art filled with uncertainty. The assumptions made by b l s cover a broad range, from those about which we may be reasonably certain to those which are not at all predictable. The role of the analyst in preparing projections is to exercise judgment with regard to reasonable expectations for the assumptions, particularly where alternate values may have significant impacts. That is, if a particular assumption is highly uncertain, yet has little impact on the outcome of the projections, it is impor tant that the analysts make that known to the users. Con versely, if the projections are particularly sensitive to specific assumptions, more care must be taken in their preparation. This article examines the assumptions which affect the aggregate economic projections and illustrates the degree of Norman C. Saunders is an economist in the Office of Economic Growth and Employment Projections, Bureau of Labor Statistics. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis sensitivity of the projections to possible errors in those as sumptions. Two types of assumptions are required to develop a set of aggregate economic projections. First, values must be as signed to all variables which are exogenous to the aggregate projections model, that is, variables that are not determined by the model but are required to generate a solution. They include such items as real defense expenditures, Social Se curity benefit payments, and the U.S. currency exchange rate. The second type of assumptions concern the validity of the model structure itself, as these are reflected in changes to that structure in the form of excluded variables, constant adjustments, and modifications to behavioral coefficients. By their very nature, the first type of assumptions— ex ogenous variable specification— are the most visible inputs to the model and, also, the most amenable to sensitivity testing. The second type of assumptions are generally less visible, given that they (and their ultimate impact on the projections) are more a function of the projections prepara tion process. They include explicit assumptions such as expected structural shifts in the economy, the timing of the business cycle, and expectations for productivity growth. This type of assumption is far more difficult to assess for sensitivity purposes. This article focuses primarily on the sensitivity of the macroeconomic projections (and, to a certain extent, industrylevel employment measures) to changes in the aggregate model’s exogenous inputs. First, the flow of information into and out of the macroeconomic model is outlined, fol23 MONTHLY LABOR REVIEW December 1986 • Sensitivity o f bls Economic Projections lowed by a discussion of the results of the error analysis and an examination of the effects of large, sustained errors in the growth rates of selected exogenous assumptions on the ag gregate and industry projections. Finally, the constant ad justments imposed on the model’s behavioral relationships are discussed. The flow of information The projections process begins with the constrained ex trapolation of age-, sex-, and race-specific labor force par ticipation rates.2 Applying the extrapolated participation rates to the Bureau of the Census projected population lev els3 yields an estimate of the civilian labor force which is used in the aggregate model. Next, exogenous assumptions are applied to the aggregate model. These assumptions include true policy variables (for example, benefit payments under various Federal transfer programs, the response of the monetary authority to growth in the economy, and the level of the Armed Forces), and variables for which other reliable and generally accepted projections are available, such as the population projections developed by the Bureau of the Census. Exogenous vari ables also include items which are outside the scope of the model, such as economic growth and inflation rates in the economies of the major trading partners of the United States, the long-term behavior of the U.S. dollar’s exchange value, and energy prices. The aggregate model is then used as a framework for the preparation of the projection of total U.S. economic activ ity.4 b l s analysts review the aggregate results for reason ableness, checking for internal consistency and continuity with past trends and comparing the results with projections made by others. Their review focuses on such aggregate measures of economic activity as g n p , unemployment, and productivity, but the model’s framework ensures that other important measures of economic performance are not over looked. As for industry and occupational projections, the level and distribution of real g n p and employment, as well as several other aggregate variables, are the controlling factors from the aggregate projections model. Following is a sum mary of major inputs to and outputs from the aggregate projections model: • Variables incorporated from earlier projection stages Level of the Armed Forces Labor force, age 16 and over, by sex Resident population, all age groups, by sex • Variables incorporated as part of the macroeconomic stage of the projections Fiscal policy assumptions Monetary policy assumptions Foreign economic activity assumptions Energy price and availability assumptions 24 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis • Variables passed from the macroeconomic model to later stages of the projections Gross National Product Personal Consumption Expenditures Gross Private Domestic Investment Exports Imports Government Employment Miscellaneous The flow of information in the early stages of projection development is from the more aggregate to the more de tailed. In the later stages, a less formal, but no less impor tant, feedback occurs from the industry and occupational projections to the more aggregate level. Because of the review and feedback process, b l s projections converge to an internally consistent set of solutions at all levels of the estimation process. Error analysis The macroeconomic model used by b l s requires the val ues for 849 exogenous variables to generate a solution. Following is a breakdown by type of all variables and of the subset of those variables included in the subsequent analysis: Total Included in analysis T o ta l............................................... ........... 849 373 Fiscal ............................................. In c o m e .......................................... Financial ...................................... T ax-related.................................... Foreign activity ............................ Demand-related ............................ Energy .......................................... Technical input/output................. Demographic ................................ Miscellaneous .............................. Model switches ............................ 29 40 18 161 11 37 136 170 46 13 188 26 40 18 146 11 37 36 0 46 13 0 ........... ........... ........... .......... ........... ........... .......... ........... ........... ........... .......... Variables were excluded from consideration if they con trolled program flow (model switches), accounted for ex traordinary variability in historical data series (dummy vari ables), or were of a highly detailed industry-specific nature. A separate run of the model was performed for each of the 373 exogenous variables used. The assumption was made that the underlying trend of each variable was correct for the 1985-95 period, but that the initial period estimate was in error by 10 percent. Thus, the exogenous value was increased by 10 percent in each year of the period, a model solution was generated, and the results were compared with the results of the base projec tion. Comparisons were made of those variables which are used at later stages of the projections— g n p and major de mand components, employment, the unemployment rate, T a b le 1. g e n e ra te d D iffe r e n c e b e tw e e n s e le c t e d e x o g e n e o u s v a r ia b le s u s e d t o g e n e r a te 1 9 9 5 p r o je c t io n s v a lu e s a s p u b lis h e d and as b y a 10 -p e rc e n t e rro r [In percent] GNP, 1972 d ollars Exogenous variable Fiscal: Defense purchases of goods and services, 1972 dollars ..................................................................................... Nondefense purchases, 1972 d o lla rs ......................................................................................................................... Federal nondefense employment .............................................................................................................................. Federal compensation/employee, 1972 dollars ...................................................................................................... Transfers, food stamps, 1972 d o lla rs ......................................................................................................................... Transfers, military retirement, 1972 dollars ............................................................................................................. Transfers, medicare, 1972 d o lla r s .............................................................................................................................. Transfers, Social Security, 1972 d o lla rs .................................................................................................................... Transfers, all other, 1972 d o lla r s ................................................................................................................................ 1.4 .4 - GNP, cu rre nt d o llars E m ploym ent Unem ploym ent rate -.2 - 1.5 .5 .1 -.2 - 1.6 .5 .1 -.6 - -1 .4 -.5 -.1 .5 -.1 -.2 -.4 -.9 -.2 .1 .3 .8 .2 .2 .5 .9 .3 .2 .5 .9 .3 .8 .4 .2 .7 .9 .4 .2 .8 .2 - 1 .0 -.5 -.2 -.8 -.2 - Large tim e dep osit rate _ _ .1 - State and local: Education purchases, 1972 dollars ............................................................................................................................ Health, labor and welfare, 1972 dollars .................................................................................................................... Civilian safety, 1972 d o lla rs .......................................................................................................................................... Other purchases, 1972 dollars ................................................................................................................................... Education employment ................................................................................................................................................. Civilian safety employment .......................................................................................................................................... Other employment ........................................................................................................................................................ Compensation/employee, 1972 dollars .................................................................................................................... Transfers to persons, 1972 dollars ............................................................................................................................ - - -.2 .2 -.1 .3 1.1 .6 .3 .9 .3 .1 .2 -1 .0 .3 Foreign economic activity: World gross domestic product less U.S. and centrally-planned, 1972 dollars .................................................. Major trading partner gross domestic product deflator .......................................................................................... Major trading partner export deflator ......................................................................................................................... Major trading partner exchange rate in d e x ................................................................................................................ 1.4 .1 1.5 1.5 1.1 .6 2.0 2.9 1.4' -.1 1.6 1.6 -1 .2 .1 - 1 .4 -1 .4 -.7 .5 -.6 -.1 -.1 - .1 - - - -.3 -.1 .1 .9 -1 .0 - .1 -.1 - .3 .3 .2 1.2 1.5 -.1 Energy-related: Domestic well-head price, lower 48 crude ................................................................................................................ Domestic well-head price, natural g a s ....................................................................................................................... Barrel price, imported crude petroleum .................................................................................................................... Miscellaneous income: Depreciation rate, commercial and o th e r .................................................................................................................. Depreciation rate, food and kindred p ro d u c ts ........................................................................................................... Depreciation rate, mining ............................................................................................................................................ Depreciation rate, communications ............................................................................................................................ Ratio, non-OASDHi contributions to personal income less tra n s fe rs ..................................................................... Percent of private earnings covered by Social Security ........................................................................................ Ratio, employee social insurance contributions to total contributions ................................................................ Business transfer payments, current d o lla rs ............................................................................................................. - -.1 -.1 .4 .3 .1 - -.2 - .2 - -.4 -.2 -1 .0 -.1 .1 -1 .5 -.2 - 1 .2 -.2 - - - - - .3 -.3 -.2 .1 -.1 .2 .6 -.5 Demographic: Male labor force, age 16 and o v e r .............................................................................................................................. Female labor force, age 16 and o v e r ......................................................................................................................... .9 .7 Tax-related: Ratio, personal income of States with an income tax to total income ................................................................ Value of a standard deduction, average .................................................................................................................. Value of an individual e xe m p tio n ................................................................................................................................ Maximum taxable salary, oasdhi................................................................................................................................ Indirect business tax rate ............................................................................................................................................ Effective corporate tax r a t e .......................................................................................................................................... Effective State personal income tax rate .................................................................................................................. Combined oasdhi tax ra te ............................................................................................................................................ -.5 .2 .2 -.1 -.3 -.3 -.5 -1 .0 Personal tax alternatives: No indexation of rates (versus full in de xin g )............................................................................................................. 10-percent tax cut (across the board) ....................................................................................................................... 10-percent tax increase (across the board) ............................................................................................................. - 8 .8 1.9 - 1 .7 Miscellaneous demand-related: Capacity value, new housing u n its .............................................................................................................................. Discard rate, residential one-unit s tru c tu re s ............................................................................................................. Ratio, purchases of new cars to total pce ............................................................................................................... Gasoline pump price, 1972 dollars/gallon ................................................................................................................ Exports, factor income, 1972 dollars ......................................................................................................................... Imports, factor income, 1972 dollars ......................................................................................................................... per labor hour, the inflation rate (as measured by the rate o f change in the implicit price deflator for gnp), and the interest rate on large time deposits (the key interest rate in the macroeconomic model). gnp Table 1 shows the percent difference between the pub lished moderate-growth projection values and those gener ated by the alternative solution. Also included is the abso lute difference in the unemployment rate between the two https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis -.1 - -.2 - - -.2 .9 -.3 - .1 _ .1 - -.6 -.1 -.2 -.1 - .2 .1 -.1 -.2 .1 -.1 - -.1 .1 - .2 -.1 -.1 .1 1.1 .9 1.2 .9 3.8 3.2 - -.7 -.7 .3 .2 .6 -.3 -.2 .1 .2 .2 .6 1.2 -.1 - .1 .3 .2 -.1 -.3 -.3 -.7 -1 .2 -.1 -.2 -.1 -.2 -4 .0 2.4 - 2 .2 -3 .5 2.3 -2 .2 3.3 -2 .1 2.0 -2 .4 .4 -.1 1.2 -.3 -.7 - - model solutions and the impact on the interest rate on large time deposits. Exogenous variables having insignificant im pacts on these specific variables were not included in the table. The macroeconomic model appears to be most sensitive to changes in fiscal policy assumptions, both revenues and expenditures, and to assumptions concerning foreign eco nomic activity. Changes in assumptions regarding the en25 MONTHLY LABOR REVIEW December 1986 • Sensitivity o f b l s Economic Projections ergy sector, especially the barrel price of imported crude petroleum, have very little impact on the macroeconomic estimates passed along to later stages of the projections process. To better analyze the effects of fiscal expenditure shifts on projections, the immediate and long-term multipliers for selected Federal and State and local government expenditure categories are shown in the following tabulation: Immediate effect 11-year effect Federal: Defense spending ........................................ 1.83 Nondefense spending .................................. 1.94 Military retirement .............................................71 Medicare benefits ........................................ 1.56 Social Security benefits.......................................73 Other Federal transfers ...................................... 72 2.36 2.51 1.83 1.97 1.81 1.77 State and local: Education purchases .................................... 1.82 Health and welfare purchases..................... 1.72 Civilian safety purchases ............................ 1.78 Other State and local purchases ................. 1.76 Transfer p aym ents............................................... 72 1.95 1.91 1.90 1.89 1.53 Table 2 presents the absolute differences in the percent shares of gnp accounted for by the major demand compo nents of gnp . As with the level of gnp and employment, the Table 2. Difference between the distribution of alternate assumptions for exogenous variables g n p significant impacts appear to be related primarily to fiscal policy and foreign economic activity assumption changes. The macroeconomic model includes two types of mone tary policy assumptions. The first includes many of the small components of the various definitions of the money supply. These assumptions affect only the determination of mi (the narrow definition of the money supply) and M3 (the broadest definition of the money supply) and have no impact whatsoever on other sectors of the model. The second type of monetary policy assumption is the “decision rule” used by the Federal Reserve Board to deter mine the optimal rate of growth of M2. In the macroeco nomic model used by bls , the decision rule is formulated as the willingness of the monetary authority to accommodate current levels of inflation and real growth in the current period. Choices range from fully accommodative (easy money) to the least accommodative (tight money). Accommodation policies affect real and nominal gnp growth, employment and inflation growth, the interest rate on large time deposits, and the unemployment rate. The impacts are quite small, which is not particularly surprising in a model of this type. Monetary control, by its very nature, is a short-term phenomenon which depends on the dynamics of a detailed financial sector specification normally found only in the many short-term forecasting models available for the U.S. economy. Long-run determinants of potential in the 1995 projections values as published and as generated by [In percent] P e r s o n a l C o n s u m p t io n G o v e rn m e n t F o r e ig n t r a d e In v e s t m e n t E x p e n d it u r e s ( p c e ) Exogenous v a r ia b le In v e n t o r y NonD u r a b le s N o n d u r a b le s S e r v ic e s r e s id e n t ia l Fiscal: Defense purchases, 1972 dollars .............. Nondefense purchases, 1972 d o lla rs .......... Medicare transfers, 1972 d o lla r s ................. Social Security, 1972 d o lla rs ........................ .16 .05 .02 .15 -.0 9 -.0 2 - .0 1 .09 -.2 2 -.0 6 .10 .02 .03 State and local: Education, 1972 dollars ............................... Health, 1972 dollars ...................................... Other, 1972 d o lla r s ........................................ Compensation per employee, 1972 d o llars. .10 .04 .08 -.0 5 - .07 -.0 4 -.0 6 .01 - .14 -.0 8 -.1 2 .03 -.0 2 Foreign economic activity: World gross domestic p ro d u c t..................... Foreign export deflator ................................. Exchange rate ................................................ .05 .06 .04 -.2 6 -.2 7 -.2 8 Miscellaneous Income: Social Security co verag e ............................... Employee contribution r a t e .......................... -.1 6 -.0 6 -.0 3 .29 - .0 3 Miscellaneous demand: Financial services, 1972 d o lla rs ................... Auto share of pce ................................ Gasoline pump p ric e ...................................... Factor income, e x p o rts ................................. Factor income, im p o rts ................................. Tax-related: State coverage r a t io ...................................... Indirect business tax rate ............................ Corporate tax r a te ........................................... State tax rate .................................................. Combined oasdhi rate ................................. - -.1 0 -.0 3 -.0 4 -.1 0 -.1 6 R e s id e n t ia l change E x p o rts im p o r t s .47 .14 -.0 3 -.0 6 -.1 4 - .04 -.0 3 -.0 8 - .0 1 .04 -.0 6 -.0 3 -.0 5 .01 .31 .16 .28 .02 .74 .37 .40 .02 .41 .44 -.1 0 -.1 1 - .11 -.1 4 -.1 5 - .16 .04 .10 -.0 2 .10 .08 .01 .11 .01 -.0 2 -.0 1 -.0 1 -.0 1 -.0 1 .01 -.0 9 -.0 4 -.0 8 .01 -.0 1 -.0 2 -.1 0 -.0 2 -.0 1 -.0 2 .03 -.4 0 -.3 9 -.3 7 .14 .12 .07 -.0 5 -.0 2 -.0 2 - .0 1 -.0 1 - .0 1 .07 -.0 8 .05 -.0 8 -.0 6 .02 .04 -.0 3 .01 -.0 4 -.1 1 .07 -.0 6 .04 .07 -.0 9 -.0 3 -.0 8 .07 -.0 7 .01 -.0 1 .08 .03 - .0 1 .05 - -.0 7 -.0 7 26 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis I .03 - - -.0 3 - -.0 3 .02 -.0 2 -.0 4 -.1 0 -.0 2 -.0 6 -.0 3 - .0 1 -.0 1 -.0 1 - .0 1 -.0 1 - -.0 1 - -.0 1 - - “ - .0 1 -.0 1 -.0 1 - - - .03 .01 .01 - - - .04 .01 and lo c a l -.1 5 -.0 4 -.0 4 -.0 9 “ - F e d e ra l - - -.0 5 - - .01 -.0 1 .22 .03 -.0 6 -.0 2 .06 -.0 3 .03 .06 .04 .04 -.0 7 .02 .04 -.0 2 - - .2 1 - .01 - -.0 2 .02 .04 .02 .02 .04 .08 - .01 -0 .1 - .03 .03 .06 .03 .03 .06 .11 growth are generally understood to be more related to those factors which affect the trend path of demand growth, such as demographic factors and patterns in income growth. Thus, the monetary policy instruments, while useful in in fluencing the short-run behavior of the macroeconomic model, generally do not affect projections which focus on long-term growth. Growth-rate shift analysis The error analysis tests for the relative sensitivity of the macroeconomic model to sustained level shifts or errors in a specific exogenous variable. Some of the key asumptions, however, are subject to wide, relatively unpredictable fluc tuations. To test the sensitivity of the model and projection results to unexpected fluctuations in the growth rates of selected exogenous variables, six exogenous variables were selected and two solutions were prepared for each, as fol lows: • Defense purchases of goods and services (1972 dollars): Variable unchanged, 1985-95 (no real growth). Annual real growth of 5 percent. • Federal nondefense purchases of goods and services (1972 dollars): Variable unchanged, 1985-95 (no real growth). Annual real growth of 5 percent. • Federal transfer payments, Social Security benefits (1972 dollars): Real average annual decline of 5 percent. Real average annual increase of 5 percent. • Gross domestic product, our major trading partners (1972 dollars): Annual real growth of 1 percent. Annual real growth of 5 percent. • Average exchange rate index, our major trading partners: No change, 1985-95 (value of the dollar remains con stant over the period). Annual growth of 8 percent (value of the dollar falls smoothly over the entire period). • Price of imported crude petroleum: Price declines to $18 per barrel by 1988 and remains at that level thereafter. Price declines to $26 per barrel in 1986 then begins to increase again, reaching $60 per barrel by 1995. Table 3 shows the percent difference for each of the six exogenous variables and the associated impact on the major results of the aggregate model solutions. The major demand components, for each of the 12 aggre gate solutions, were allocated by producing sectors using the distributions implicit in the published bls base projec tions. The resulting final demand bills of goods were applied to the 1995 input-output table from the same published projections to arrive at detailed estimates of industry total output necessary to produce the aggregate gnp . Finally, the industry output estimates were translated to employment https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis requirements using the employment/output ratios from the published base projections. The resulting percent changes in employment between the two alternative solutions for each of the selected exogenous variables are presented, at the sector level, in table 3. The implications are that, at least for the selected vari ables, large errors in specification could lead to significantly altered results, at both the aggregate and industry levels of detail. In subsequent projections preparation, it would be worthwhile to develop such “single-variable” alternatives. Add-factor analysis For each behavioral relationship in the macroeconomic model, the analyst may specify adjustments to the constant term of the equation. These are called add-factors because they displace the result of the equation up or down by an additive amount. Constant adjustments may be applied in one or more years of the solution interval, may be constant, declining, or increasing over time, and, in short, allow for tremendous control by the analyst over the solution path and results of the model. Normally, constant adjustments are initially specified for virtually every behavioral equation in a complex model to smooth the vagaries of individual equations and to force the model to reproduce the last few years of available historical data. These add-factors would then be tapered smoothly to a zero value at some point in the solution interval. Indeed, without this initial step, large economic models will gener ally be unable to converge on a solution at all. Finally, to derive an acceptable solution, the analyst in troduces modifications to exogenous values and further changes to the constant adjustment factors. In some cases, where the dynamics of the model make the effects of changes to constant adjustments unpredictable, the analyst may elect to exclude certain behavioral relationships. That is, the equation is “turned o ff’ and exogenously specified values are supplied in place of the equation results. Once an acceptable solution has been derived, all of the add-factors are recomputed so that previously excluded variables may be included again in the solution set. From the foregoing discussion, it is clear that an econo metric model provides a convenient framework for a set of economic projections. However, the way that framework is fleshed out is, to a great extent, a reflection of the experien tial judgments of the analysts preparing the projection. In fact, it has been estimated that as much as 70 percent of the content of a particular projection set is attributable to the judgments of the analyst and the remaining 30 percent to the formal structure of the econometric model. The bls 1995 projections process was begun with the Wharton control forecast of June 1984 as the starting point. Thus, the preliminary step of calibrating the constant adjust ments had already been performed. However, to derive a reasonable trend projection of growth, bls had to replace the Wharton exogenous variables with its own estimates, and, more importantly, to disentangle the Wharton constant ad27 MONTHLY LABOR REVIEW December 1986 • Sensitivity o f b l s Economic Projections justments which had been overlaid on the calibrating adjust ments. One of the primary features of the Wharton forecast was that it contained a strong cyclical component, and many of the initial changes to the Wharton add-factors were neces sitated by bls ’ goal of a cycle-free trend projection. A comparison of the Wharton constant adjustments was made with those of bls for 106 behavioral relations in the model: 71 demand categories (all behaviorally determined components of real gnp), 33 employment levels (all behav iorally determined sectoral employment), and the male and female civilian labor force. Following is the number of behavioral relations where the constant adjustment as a pro portion of the determined variable increased or decreased over time: Equation In creased D ecreased Demand: BLS ........................................ ........ W h a rto n ................................ ........ 37 35 34 36 Employment: BLS ........................................ ........ Wharton ................................ ......... 18 10 15 23 Labor force: BLS ........................................ ......... W h a rto n ................................ ........ 2 2 0 0 Equation Larger Sm aller Identical 39 24 0 21 4 2 11 5 0 Demand ................................ Em ploym ent......................... Labor force ......................... Exactly how one should interpret these comparisons is moot. Generally, the bls add-factors are larger than those of Wharton. This may reflect a greater propensity on the part of bls analysts to experiment with the structure of the model, or it may reflect the smoothing that bls imposed on the macroeconomic results. Recall that the bls macroeconomic projections do not stand completely on their own merits. Where detailed re sults at lower levels of the projection process contradict the aggregate results, the aggregate projections are often modi fied to take into account these contradictions. This factor alone accounts for bls ’ apparent tendency to more heavily add-factor the employment equations than does Wharton. Conclusions and recommendations The key results of the macroeconomic model are more heavily influenced by some exogenous assumptions than by others. These include Federal spending and tax policy and the assumptions relating to foreign economic activity. Per haps far more important, but much less straightforward to quantify, are the impacts of model structure modifications, in the form of constant adjustments, on projection results. The relation of the bls constant adjustment to that in the Wharton control is shown below: Table 3. Effects of large changes in selected exogenous variables on major projected variables and sectoral employment as compared to those published for 1995 [In percent] Ite m D e fe n s e N o n d e fe n s e p u rc h a s e s p u rc h a s e s S o c ia l S e c u r it y b e n e f it s F o r e ig n g ro s s Exchange d o m e s t ic ra te p ro d u c t Im p o r t o il p r ic e M a jo r p r o je c t e d v a r ia b le Exogenous variable difference ...................................................................................................... 62.9 62.9 172.1 37.8 115.9 233.3 Real gnp ......................................................................................................... 1985-95 growth rate d iffe re n ce .................................................................................................. 6.5 .6 2.3 .2 5.3 .5 5.4 .5 12.6 1.1 -.7 .0 gnp d e fla to r........................................................................................................................................ 1985-95 growth rate d iffe re n ce ................................................................................................. .7 .1 .4 .0 .9 .1 -.7 .0 9.1 .8 1.3 .1 E m ploym ent........................................................................................................................................ 1985-95 growth rate d iffe re n ce .................................................................................................. 6.5 .6 2.5 .2 5.3 .5 4.2 .4 10.0 .9 -.6 .0 Unemployment rate difference ...................................................................................................... Large time deposit rate d iffe re n c e ............................................................................................. gnp per worker, 1985-95 rate d iffe re n ce ................................................................................. -5 .6 .36 .0 -2 .2 .16 .0 -4 .7 .36 .0 -3 .6 .06 .0 -8 .5 1.99 .2 6.3 2.6 5.8 5.6 9.7 7.7 5.7 6.8 6.4 3.8 5.1 5.7 3.9 2.0 1.2 1.5 1.4 2.1 1.9 1.8 2.2 2.2 1.5 2.1 1.7 1.8 6.7 4.2 4.2 3.5 6.2 6.4 6.5 8.6 8.7 6.0 6.0 6.7 5.2 5.2 8.3 9.9 3.1 9.5 7.0 5.1 4.8 4.6 2.8 3.2 4.1 2.5 12.0 18.5 42.4 8.2 25.7 15.7 11.0 13.6 7.7 7.1 7.8 9.7 5.9 .5 .16 .0 S e c t o r a l e m p lo y m e n t Total establishment e m p loym en t............................................................................................... Agriculture, forestry, and fish e rie s.................................................................................................. Mining ................................................................................................................................................. Maintenance and repair construction .......................................................................................... Manufacturing ................................................................................................................................... Transportation ................................................................................................................................... Communications .............................................................................................................................. Public u tilitie s ..................................................................................................................................... Wholesale and retail trade ............................................................................................................. Finance, insurance, and real estate ............................................................................................. Other s e rv ic e s ................................................................................................................................... Government e n te rp rise s.................................................................................................................. Special in d u strie s.............................................................................................................................. Digitized for 28 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis -.6 -.3 -1 .8 -.4 -.8 -.8 -.5 - .1 - .7 -.3 -.3 -.8 -.8 b l s ’ current methodology is to prepare a base projection and several alternative projections. The purpose of the alternative projections has been primarily to put confi dence intervals around the base projection. This approach should continue, with special focus on those variables most heavily add-factored in the preparation of the base projec tion. What b l s methodology has been lacking, however, is the identification and exploration of alternatives around those exogenous assumptions which most heavily impact the key macroeconomic results. Therefore, in addition to the alter native projections mentioned above, the foregoing results should be used to identify those specific exogenous assump tions for which alternative scenarios should be developed. Such “single-variable” alternatives would be relatively inex pensive to generate (relative to “whole-model” alternatives) and would add greatly to the usefulness of the b l s projec tions, in that they would assist users in identifying results which are most likely to be affected by unexpected develop ments in key assumptions. -F O O T N O T E S 1 The bls projections are initially published in the M o n th ly L a b o r R e v ie w . The latest series of projections articles, appearing in the November 1985 R e v ie w , include: Betty W. Su, “The economic outlook to 1995: new assumptions and projections,” pp. 3-16; Howard N Fullerton, Jr., “The 1995 labor force: bls ’ latest projections,” pp. 17-25; Valerie A. Personick, “A second look at industry output and employment trends through 1995,” pp. 26-41; and George T. Silvestri and John M. Lukasiewicz, “Occupa tional employment projections: the 1984-95 outlook,” pp. 4 2 -5 7 . 2 A comprehensive methodological description, along with reprints of the latest projection articles and more detailed projection results, appears in E m p lo y m e n t P r o je c tio n s f o r 1 9 9 5 : D a ta a n d M e th o d s , Bulletin 2253 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis (Bureau of Labor Statistics, 1986). 3 P r o je c tio n s o f th e P o p u la tio n o f th e U n ite d S ta te s : 1 9 8 3 to 2 0 8 0 , C u r r e n t P o p u la tio n R e p o r ts , Series P-25, No. 952 (Bureau of the Census, 1984). 4 The aggregate economic model currently in use by the bls was ac quired as the result of a competitive procurement process. It is the LongTerm Model of the U .S. Economy developed by the Wharton Econometric Associates, Inc., version LTM0684S. The general structure of the model is fully outlined in L o n g -T e r m M o d e l S tr u c tu r e a n d S p e c ific a tio n (Wharton Econometrics, 1982). A note on communications The Monthly Labor Review welcomes communications that supplement, challenge, or expand on research published in its pages. To be considered for publication, communications should be factual and analytical, not po lemical in tone. Communications should be addressed to the Editor-inChief, Monthly Labor Review, Bureau of Labor Statistics, U.S. Depart ment of Labor, Washington, D.C. 20212. 29 Research Summaries Women veterans total 1 million in first half of 1986 M a r ia L. R oca A large portion of our male population has served in the Armed Forces of the United States, and there has long been a demand for information on their post-service adjustment to the civilian labor market. Data on male veterans of World War II, for example, were published regularly by b l s in the 1940’s and 1950’s,1 and population and labor force data on those who served during the Vietnam era have been pub lished monthly since 1971. By contrast, women did not begin to serve in the Armed Forces to a significant degree until the mid-1970’s. With this rise in service participation, there has been an increase in the number of women joining the veteran ranks. Beginning in January 1986, data on fe male veterans first became available from the Current Pop ulation Survey ( c p s ). This report discusses the current role of women in the military services and provides a summary of the new c p s data. Women in the military. Women began active participation in the military during the early part of this century, with the establishment of the Army Nurse Corps in 1901 and the Navy Nurse Corps 7 years later. But, while they were recog nized as military personnel, these women were denied equal rank, comparable pay, and veteran status.2 It was not until the second half of the century that they began to be recruited in large numbers for a wider range of jobs providing equal pay and full veterans’ benefits. Women in the military today find a broad range of job opportunities available to them. Though many continue to serve in such traditional specialties as health and administra tion, others work in such diverse fields as sonar and aircraft equipment repair, radio and air traffic control, law enforce ment, and meteorology. While each service has its own regulations, the only occupational restrictions women gen erally encounter in the military are those associated with direct combat, and so very few serve in the infantry, on gun crews, and on combat ships.3 In March 1986, the Department of Defense reported that Maria L. Roca is an economist in the Division of Employment and Unem ployment Analysis, Office of Employment and Unemployment Statistics, Bureau o f Labor Statistics. 30 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis a there were 215,000 women in the military, comprising ap proximately 10 percent of the total Armed Forces. In the post-Vietnam era (since 1975), the number of enlisted women has increased by 100,150 and the number of female officers by 17,200— or by 120 and 126 percent, respec tively.4 Over this same period, the size of the total Armed Forces has changed little. The new data. Given the small sample of female veterans in the c p s , the new data allow for little analysis of such issues as post-service employment and unemployment expe rience. Nevertheless, the accompanying tables provide lim ited labor force and population data for the average of the first 6 months of 1986; 6-month averages were used because they are somewhat more reliable than data for an individual month. During the first half of 1986, the female veteran popula tion averaged 1,030,000. (See table 1.) About 55 percent of these women participated in the labor force, the same pro portion as for female nonveterans. The majority of female veterans served during a designated wartime period: almost 250.000 were Vietnam-era veterans, 70 percent of whom were between the ages of 30 and 39. (See table 2.) The labor force participation rate for these veterans, almost 80 per cent, was higher than that of any age group of female non veterans. The unemployed among this group averaged only 9.000 persons, yielding a jobless rate of about 5 percent. However, the sample on which such estimates are based is so small that any interpretation of these data is problematic. About 450,000 women were veterans of other wars. These women were primarily involved in World War II and the Korean conflict and thus were mainly between the ages of 60 and 69. Because of this concentration in the older age Table 1. Labor force status of women 18 years and over by veteran status, January-June 1986 averages [Numbers in thousands] C iv ilia n V e te r a n s ta tu s n o n in s t it u t io n a i C iv ilia n la b o r f o r c e p o p u la t io n Total veterans ............ Vietnam-era v e te ra n s .............. Other war veterans .............. Peacetime veterans .............. Nonveterans .............. L a b o r fo rc e p a r t ic ip a t io n ra te 1 ,0 2 7 562 5 4 .7 245 193 7 8 .8 452 135 2 9 .9 330 234 7 1 .0 9 3 ,5 0 4 5 1 ,2 4 4 5 4 .8 Table 2. Age distribution of the female population 18 years and over by veteran status, January-June 1986 averages V e te ra n s Age V ie t n a m - e r a v e te ra n s O th e r Peace w ar t im e v e te ra n s v e te ra n s Total (in thousands) . . . . 245 452 330 Total (in percent) ............ 18 to 29 years ............ 30 to 39 years ............ 40 to 49 years ............ 50 to 59 years ............ 60 to 69 years ............ 70 years and over . . . 100.0 4.5 69.7 20.0 3.3 1.2 1.2 100.0 100.0 52.7 22.1 16.4 5.2 1.2 2.4 — — 0.9 20.4 63.1 15.9 Non v e te ra n s 93,504 100.0 26.2 20.7 14.1 12.2 11.5 11.5 groups, the labor force participation rate for “other” war veterans is relatively low, about 30 percent. The last group identified through the survey was peace time veterans, generally those who served between World War II and the Korean conflict, between the Korean conflict and Vietnam, and during the post-Vietnam era. In early 1986, there were 330,000 peacetime veterans, 71 percent of whom were labor force participants. The Bureau of Labor Statistics will make the data on female veterans available upon request. comparing the labor force patterns of military and civilian wives.1 The recent situation is described first and is fol lowed by a review of trends since 1970. Status in March 1986 About 846,000 women in the United States were living on or off military posts with husbands who were members of the Armed Forces in March 1986. An additional 50,000 women were separated from their spouses because the men had been assigned to ships, overseas duty, or other posts where the family could not accompany them.2 Of the women living with their husbands 52 percent were working or looking for work, compared with 55 percent of civilian wives. However, this similarity is misleading. When the age difference between military and civilian wives is taken into account, military wives are substantially less likely to be in the labor force. The age distribution of military wives can be estimated from that of their husbands. We know that, in general, women tend to marry men who are about 2 to 3 years older than themselves. In 1986, for example, the median age for married women, husband present, was 42.1 years, com pared with a median of 44.8 years for husbands. As shown in the percent distribution below, husbands in military serv ices are a great deal younger than their civilian counterparts. ------ F O O T N O T E S ------ Age 1 See, for example, L a b o r F o r c e a n d E m p lo y m e n t in 1 9 5 9 , Special Labor Force Report No. 4 (Bureau of Labor Statistics, 1960), p. A -l 1. 2 S u r v e y o f F e m a le V e te r a n s (Veterans’ Administration, September 1985), p. 1. 3 M ilita r y W o m en in th e D e p a r tm e n t o f D e fe n s e (U.S. Department of Defense, April 1985), p. 47. 4 Data are from the U.S. Department of Defense, Defense Manpower Data Center. Military and civilian wives: update on the labor force gap H ow ard V. H ayghe In an era when wives’ earnings are a major component of family income, many military wives experience labor mar ket difficulties which can have a serious impact on the economic well-being of their families. This, in turn, can affect the ability of today’s all-volunteer Armed Forces to retain the highly skilled, experienced personnel that are vital to its mission. This report updates a 1981 Monthly Labor Review article Howard V. Hayghe is an economist in the Division of Employment and Unemployment Analysis, O ffice of Employment and Unemployment Statistics, Bureau o f Labor Statistics. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis T o ta l............... 16 20 25 35 45 to 19 ............. to 24 ............. to 34 ............. to 44 ............. and over . . . . M ilitary husbands Civilian husbands A ll w ives 100 100 100 2 17 49 26 6 4 23 23 50 _ _ 7 26 23 44 Thus, it can be expected that as a group, military wives are also considerably younger than all civilian wives. In deed, virtually all are probably under 45 years of age. For the sake of consistency, labor force comparisons for military wives will be made with all wives 16 to 44 years old. (The proportion of military wives is only about 2.9 percent of all married women these ages, so their effect on labor force data pertaining to all 16- to 44-year-old wives is clearly negligible. Thus, all wives in the age group can be consid ered as the civilian counterparts of military wives.) Overall, the labor force participation rate of military wives (52 percent) was nearly 15 percentage points lower than that of their civilian counterparts. Moreover, whatever their race or motherhood status, military wives were less likely than the 16- to 44-year-olds to be labor force partici pants. (See table 1.) For instance, white military wives had a participation rate in 1986 that was 18 percentage points lower than the rate for their civilian counterparts. Among blacks, the difference was about 11 percentage points. The presence of preschool children appeared to limit military wives’ labor force activity more sharply than that of the 31 MONTHLY LABOR REVIEW December 1986 • Research Summaries Table 1. Population and labor force participation rates of military and civilian wives by race and presence and age of children, March 1986 [Numbers in thousands] C h a r a c t e r is t ic M ilit a r y w iv e s , C iv ilia n w iv e s , 16 y e a rs an d 16 y e a rs and o ld e r o ld e r A ll w iv e s , 1 6 t o 4 4 y e a r s o ld P o p u la t io n Total .................................................. W h it e ............................................. Black ............................................. 846 669 138 50,132 45,285 3,570 29,228 25,967 2,213 With no children under age 1 8 . . With children under age 18 . . . . Children ages 6 to 17 only . . . Children under age 6 .............. 221 625 216 409 26,100 24,032 12,499 11,533 7,079 22,150 10,027 12,123 Trends L a b o r f o r c e p a r t ic ip a t io n r a t e 1 Total .................................................. White ............................................. Black ............................................. 52.1 48.1 65.9 54.6 53.6 64.3 66.9 66.1 77.1 With no children under age 1 8 . . With children under age 18 . . . . Children ages 6 to 17 only . . . Children under age 6 .............. 68.3 46.4 66.2 35.7 48.0 61.8 68.5 54.5 82.6 61.8 71.4 53.9 1 Labor force as a percent of population. Note: Because of rounding, sums of individual cells may not equal totals. other group of wives with children that age, but the differ ence narrowed for those with school-age children. How ever, even when there were no children in the family, the military wives’ participation rate was lower. Unemployment rates were higher across the board for military wives than for the other wives— 10.7 versus 6.0 percent. This is partly a function of the black-white mix as well as greater family mobility; black wives constituted 16 percent of the total, versus 8 percent of all civilian wives. Table 2. When employed, military wives are more concentrated in sales and service occupations than civilian wives. About 35 percent of military wives held such jobs in March 1986, compared with 27 percent of civilian wives. At the same time, military wives were less likely to be in professional specialty jobs— 12 versus 16 percent. Service and sales jobs frequently offer the flexibility of part-time employment, do not necessarily require specialized training, and are often typified by high employee turnover. Hence, even though they are characterized by low earnings,3 they are probably easier for military wives to obtain than other jobs, for which longer-term commitments are often expected. The relatively low labor force participation rates of mili tary wives are not a new development. In 1970, shortly after the Bureau of Labor Statistics first tabulated data for this group, 31 percent of military wives were working or looking for work. In contrast, 44 percent of their civilian counter parts were in the labor force. Since then, the rates for both groups have increased by a little more than 20 percentage points. Thus, by 1986, the rates were 52 percent for military wives and 67 percent for the other wives— practically the same difference as in 1970. While the participation rates for civilian wives advanced steadily over the period, the trend for military wives was erratic. In addition to the demographic, economic, and so cial factors that influence the labor force activity of both civilian and military wives,4 the rates for military wives are also likely to be affected by changes in the flows of enlist ments, transfers, and discharges of their husbands. This may also partly account for the erratic movements in mili tary wives’ unemployment rates. Labor force and unemployment rates of military and civilian wives, March 1970 to March 1986 U n e m p lo y m e n t r a t e 2 L a b o r f o r c e p a r t ic ip a t io n r a t e 1 Year M ilit a r y C iv ilia n A ll M ilit a r y C iv ilia n A ll w iv e s , w iv e s , w iv e s , w iv e s , w iv e s , w iv e s , 16 y e a rs and 16 y e a rs and 1 6 to 4 4 16 y e a rs an d 16 y e a rs and 16 to 4 4 o ld e r o ld e r y e a r s o ld o ld e r o ld e r y e a r s o ld 1970 1971 1972 1973 1974 ......................................................................................................................... ......................................................................................................................... ......................................................................................................................... ......................................................................................................................... ......................................................................................................................... 30.5 27.2 26.8 33.3 36.3 41.2 41.1 41.9 42.5 43.3 43.7 44.0 45.3 47.5 48.9 13.0 10.4 10.0 13.1 12.4 4.5 5.7 5.2 4.4 4.5 5.7 7.3 6.4 5.3 5.8 1975 1976 1977 1978 1979 .......................................................................................................................... ......................................................................................................................... ......................................................................................................................... ......................................................................................................................... ......................................................................................................................... 39.3 38.0 38.2 46.6 50.2 44.6 45.3 46.8 47.7 49.4 51.1 52.1 54.7 56.3 58.7 16.3 12.7 18.0 16.5 11.8 8.3 7.0 6.6 4.9 4.9 10.0 8.4 7.8 6.2 5.9 1980 ......................................................................................................................... 1981 ......................................................................................................................... 1982 ......................................................................................................................... 50.6 50.7 51.9 47.6 50.6 52.1 52.1 50.2 51.1 51.3 51.9 53.0 54.4 54.6 60.3 61.6 62.4 63.4 64.5 66.3 66.9 10.9 8.0 13.5 17.2 16.9 17.8 10.7 5.1 5.6 6.9 6.9 5.4 5.5 5.2 6.2 6.8 8.1 8.2 6.7 6.3 6.0 1984 ......................................................................................................................... 1985 ......................................................................................................................... 1986 ......................................................................................................................... 1 Labor force as percent of population. 2 Unemployed as percent of labor force. note: Data are not seasonally adjusted. 32 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Clearly, military wives have made considerable progress in the labor market. But a number of articles and studies indicate that frequent transfers of their husbands place many military wives at a labor market disadvantage. It has long been known that high mobility means frequent breaks in the wife’s employment or education and training.5 One result is that her opportunities to develop a marketable career are disrupted; another is that she must search for jobs in unfa miliar geographic areas. Moreover, the concomitant lack of experience, training, and seniority may result in lower earn ings for military wives.6 They may also experience some job discrimination because of the likelihood that they will not remain with an employer for very long.7 But, whatever the cause, or causes, of military wives’ labor market prob lems, these problems continue to be a source of concern not only to the families themselves, but also to the Armed Serv ices as a whole. □ --------- F O O T N O T E S --------1 See Allyson Sherman Grossman, “The employment situation for mili tary w ives,” M o n th ly L a b o r R e v i e w , February 1981, pp. 6 0-64. 2 The information in this research summary is based on data collected in the Current Population Survey in March 1986 and in March of prior years. The Current Population Survey is a monthly survey with a sample that presently includes about 59,500 households in the 50 States and the District o f Columbia. The survey is conducted for the Bureau of Labor Statistics by the Bureau o f the Census and provides comprehensive data on the labor force by a wide variety of demographic characteristics, including family status. For further information, see b l s H a n d b o o k o f M e th o d s , V o lu m e I , Bulletin 2 1 3 4 -1 , pp. 3 -1 2 . 3 See, for example, “Weekly Earnings o f Wage and Salary Workers: Third Quarter,” bls News Release, Oct. 1985, table 3. 4 See Hilda Kahne and Andrew Kohen, “Economic Perspectives on the Roles o f Women in the American Economy,” J o u r n a l o f E c o n o m ic L ite r a tu r e , December 1975, pp. 1249-92. 5 See Ruth Chaskel, “Effect o f Mobility on Family Life,” S o c ia l W o r k , vol. 9, October 1964, pp. 83-91; Elizabeth Finlayson, “A Study of the Wife o f the Army Officer: Her Academic and Career Preparation, Her Current Employment and Volunteer Services,” in McCubbin and others, eds ., F a m ilie s in th e M ilita r y (Beverly Hills, c a , Sage Publications, 1976), ch. 1.; Judy Pearson, T e s tim o n y on T r a n s fe r a b ility o f G I B ill (Arlington, v a , Military Wives Association, October 1981). 6 See “Relative Spouse Earnings,” P a y A d e q u a c y S tu d y (Department of Defense, 1979), appendix C. 7 See Helga M. Parks, “Survey o f Job Discrimination Against Military W ives,” unpublished manuscript (Springfield, v a , Military Family Re source Center, February 1983). Occupational pay in textile dyeing and finishing plants Production and related workers in the textile dyeing and finishing industry averaged $6.67 an hour in June 1985, according to a study by the Bureau of Labor Statistics.1 Regionally, average hourly earnings were highest in New https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis England ($7.67) and lowest in the Southeast ($6.42), where three-fourths of the 36,300 production workers were em ployed. The Middle Atlantic States, employing one-tenth of the workers, recorded $7.27 an hour. (See table 1.) Wages in mills processing textiles for their own account averaged virtually the same as mills processing materials for customers on a commission basis (textiles owned by others), $6.67 and $6.68, respectively. Employment was equally divided between these two types of finishers. Pay in mills primarily processing manmade textiles— seven-tenths of the work force— averaged $6.83 an hour, 6 percent more than the $6.42 recorded among cotton textile processors. Within both of these groups, pay nearly always averaged more per hour in fabric mills than in yam or thread mills. Pay levels also were compared by type of area, size of establishment, and labor-management contract coverage. Average hourly earnings were 11 percent higher in metropolitan areas2 than in nonmetropolitan areas ($7.10 versus $6.39). Pay in plants with at least 500 employees averaged $6.84 an hour, the same as in plants with 250 to 499 employees, but was higher than in plants with 50-249 employees ($6.45 an hour). In establishments where a ma jority of the workers were covered by labor-management agreements, pay averaged $7.57 an hour, 19 percent more than the $6.35 in nonunion establishments. Regionally, the pay advantage for production workers in union establish ments was 5 percent in the Southeast, 15 percent in New England, and 48 percent in the Middle Atlantic region. Forty occupations, accounting for nearly three-fifths of the production workers, were selected to represent the in dustry’s wage structure, workers’ skills and manufacturing operations. Pay levels among these jobs ranged from $5.63 and hour for janitors, porters, and cleaners, to $9.71 for machine printers. Tenders of cloth-dyeing machines, nu merically the largest job studied separately, averaged $6.92 an hour. Occupational pay levels varied by pay determining characteristics such as region, type of textile processed, size of establishment, and union contract status; the interrela tionships among these factors, however, were not taken into account when tabulating the data. Virtually all production workers were in establishments providing paid holidays, paid vacations, and at least part of the cost of various health and insurance plans. Seven to 10 holidays annually were typical, as were 1 to 4 weeks of vacation pay, depending on years of service. Retirement pension plans (in addition to Social Security) covered approximately three-fourths of the work force, while retirement severance plans applied to nearly one-tenth. Employers typically paid the entire cost of these retirement plans. One-fourth of the workers were employed in establish ments having collective bargaining agreements covering a majority of the production workers. Regionally, the propor tions were one-tenth in the Southeast, seven-tenths in the 33 MONTHLY LABOR REVIEW December 1986 • Research Summaries Table 1. Average hourly earnings1 in textile dyeing and finishing plants, United States and selected regions,2 June 1985 C h a r a c t e r is t ic U n it e d S t a t e s 3 N e w E n g la n d M id d le A t la n t ic S o u th e a s t All production workers ................................................................................................................................ $ 6 .6 7 $ 7 .6 7 $ 7 .2 7 $ 6 .4 2 Type of finisher: Commission m i ll........................................................................................................................................ For own a cco u n t........................................................................................................................................ 6 .6 8 7 .5 8 7 .5 4 6 .0 0 6 .6 7 8 .0 3 5 .3 1 6 .6 5 Type of textile: Cotton3 ...................................................................................................................................................... Broadwoven .......................................................................................................................................... Yarn or th re a d ........................................................................................................................................ Manmade3 ................................................................................................................................................. Broadwoven .......................................................................................................................................... Yarn or th re a d ........................................................................................................................................ 6 .4 2 7 .7 1 6 .3 5 6 .1 8 6 .4 4 7 .3 7 6 .8 6 6 .1 9 6 .1 1 - - 6 .1 1 6 .8 3 7 .6 6 7 .8 5 6 .5 6 6 .9 2 7 .6 6 8 .1 0 6 .6 2 5 .5 1 - - 5 .4 7 Type of area: Metropolitan areas4 ................................................................................................................................ Nonmetropolitan a r e a s ............................................................................................................................ 7 .1 0 7 .6 7 7 .4 0 6 .5 5 6 .3 9 - - 6 .3 9 Size of establishment: 5 0 - 2 4 9 w o rk e rs ........................................................................................................................................ 2 5 0 - 4 9 9 w o rk e rs ..................................................................................................................................... 5 0 0 workers or more .............................................................................................................................. 6 .4 5 7 .5 5 7 .2 6 6 .8 4 7 .9 5 - 6 .6 5 6 .8 4 - 6 .8 4 Labor-management contracts: E sta b lish m e n ts w ith — Majority of workers co v e re d ................................................................................................................ None or minority of workers covered ............................................................................................... Selected production occupations: Color m ix e rs ............................................................................................................................................... Dyeing-machine tenders, cloth .............................................................................................................. Finishing-range o p e ra to rs ....................................................................................................................... Inspectors, cloth, machine ..................................................................................................................... Janitors, porters, and cleaners .............................................................................................................. Mechanics (machinery), m a in te n a n ce .................................................................................................. Power-truck operators ............................................................................................................................ Printers, m a c h in e ..................................................................................................................................... Tenter-frame tenders .............................................................................................................................. Winders, y a r n ............................................................................................................................................ 1 Excludes premium pay for overtime and for work on weekends, holidays, and late shifts. Incentive payments, such as those resulting from piecework or production bonus systems, and cost-of-living pay increases (but not bonuses) were included as part of the workers’ regular pay. Excluded are performance bonuses and lump-sum payments of the type negotiated in the auto and aerospace industries, as well as profit-sharing payments, attendance bonuses, Christmas or yearend bonuses, and other nonproduction bonuses. 2 The regions used in this study include: N e w E n g la n d — Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont; M id d le A tla n tic — N ew Jersey, New York, and Penn Middle Atlantic, and four-fifths in New England. The major union in the industry was the Amalgamated Clothing and Textile Workers Union ( a f l -c io ). A comprehensive bulletin on the study, Industry Wage Survey: Textile Dyeing and Finishing, June 1985, b l s Bul letin 2260, may be purchased from the Bureau of Labor Statistics Publication Sales Center, P.O. Box 2145, Chicago, il 60690, or the Superintendent of Documents, U.S. Government Printing Office, Washington, DC 20402. The bulletin provides additional information on occupa tional pay and on the incidence of employee benefits. The study covered 223 establishments primarily engaged in dye- 34 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis - 5 .6 9 7 .5 7 7 .8 7 8 .0 6 6 .7 4 6 .3 5 6 .8 7 5 .4 3 6 .3 9 7 .1 2 7 .7 9 8 .4 4 6 .7 4 6 .9 2 7 .4 0 7 .8 5 6 .3 2 6 .6 1 7 .7 0 6 .3 2 6 .3 1 6 .4 4 6.71 7 .8 9 , 6 .2 9 5 .6 3 6 .7 1 7 .7 5 5 .2 6 8 .3 2 8 .3 9 9 .7 3 8 .2 5 6 .0 7 7 .0 9 - 9 .7 1 - 7 .3 7 6 .8 8 6 .9 0 7 .7 6 6 .2 7 5 .6 6 - 5 .1 2 5 .7 3 5 .9 7 1 0 .5 0 sylvania; and S o u th e a s t— Alabama, Florida, Georgia, Mississippi, North Carolina, South Caro lina, Tennessee, and Virginia. 3 Includes data for subclassifications in addition to those shown separately. 4 Metropolitan Statistical Areas as defined by the U.S. Office of Management and Budget th ro u g h Ju n e 1983. Note: Dashes indicate no data were reported or that data did not meet publication criteria. ing and finishing non wool yam, thread, cloth, or other tex tile products and employing 50 workers or more. □ --------- F O O T N O T E S ---------1 Wage data are straight-time earnings which exclude premium pay for overtime and for work on weekends, holidays, and late shifts. Incentive payments, such as those resulting from piecework or production bonus systems, and cost-of-living pay increases (but not bonuses) were included as part of the workers’ regular pay. Excluded are performance bonuses and lump-sum payments of the type negotiated in the auto and aerospace indus tries, as well as profit-sharing payments, attendance bonuses, Christmas or yearend bonuses, and other nonproduction bonuses. 2 Metropolitan Statistical Areas as defined by the U .S. Office o f Man agement and Budget through June 1983. M ajor Agreements Expiring Next M onth This list of selected collective bargaining agreements expiring in January is based on information collected by the Bureau’s Office of Wages and Industrial Relations. The list includes agreements covering 1,000 workers or more. Private industry is arranged in order of Standard Industrial Classification. I n d u str y o r a c tiv ity E m p lo y e r a n d lo c a tio n L a b o r o r g a n iz a tio n 1 N u m b er o f w ork ers P r iv a te Construction....................................... Food products ................. ................. National Electrical Contractors Association, Northwest Line Constructors (Interstate) Associated General Contractors, Cincinnati Division Ohio Building Chapter and one other (Ohio) Wholesale, retail bread and cake bakeries (New York, N Y ) ............. ................. 1,200 Carpenters ........................................... 2,800 3,000 Erwin Mills (Erwin, N C ) ........................................................ Coming Glass Works (Coming, N Y ) ........................................................ Blaw Knox Foundry & Mill Machinery, Inc. (Interstate) ................. Litton Industries, Inc. (Sioux Falls, SD) ...................... United Technologies Corp. (West Palm Beach, F L )............... Dana Corp., Spicer Axle Division (Ft. Wayne, I N ) ...................... Bakery, Confectionery and Tobacco Workers Food and Commercial Workers . . . . Food and Commercial Workers . . . . Retail, Wholesale and Department Store Clothing and Textile Workers ......... Flint Glass Workers ........................ Steelworkers ....................................... Electrical Workers (U E-Ind.)............. Machinists ..................................... Industrial W o rk ers.............................. 1,150 3,500 1,500 2,100 1,300 1,650 Western Airlines, flight attendants (Interstate) ...................... Western Airlines, clerks and agents (Interstate) ............................ Western Airlines, ground service (Interstate) ........................ General Telephone Co. of Wisconsin (Wisconsin) ........................ Boston Gas Co. (Boston, m a ) .............................. Utah Power & Light Co. (Interstate) ......................................... Flight A ttendants................................ Air Transport Employees ................. Teamsters (Ind.) ................................. Communications W orkers................. Steelworkers ....................................... Electrical Workers ( i b e w ) ................. 2,300 4,500 1,600 1,250 1,000 3,800 Associated Produce Dealers & Brokers of Los Angeles (California) .. Acme Markets, Inc. (Philadelphia, P A ) ........................................................... Acme Markets, Inc. (New Jersey) ............................ Acme Markets, Inc. (D riaw are).............................. Midtown Realty Owners Association, Inc............................ Teamsters (Ind.) ................................. Food and Commercial Workers . . . . Food and Commercial Workers . . . . Food and Commercial Workers . . . . Service Employees ............................ 1,900 5,000 2,700 1,250 2,500 Michigan: Detroit Board of Education, o ffic e .......................... Detroit Board of Education, maintenance, custodial, transportation Detroit Board of Education, paraprofessional ...................... Educational Office Employees ......... State, County and Municipal Employees Detroit Association of Educational Employees 1,800 2,400 Chef Boy-Ar-Dee, division of American Home Foods (Milton, p a ) . . . Bryan Foods Inc. (West Point, MS) ............................................. Del Monte Corp., Midwest Division (Illinois) .............................. Textiles .............................................. Stone, clay, and glass products . . . Primary m e ta ls................................... Electrical p ro d u cts............................ Transportation equipment ............... Air transportation ............................ Communication ................................. Utilities ............................................. Wholesale tr a d e ................................ Retail trade ....................................... Real estate ......................................... Electrical Workers (ib e w ) 1,350 1,200 1,200 P u b lic E d u catio n ........................................... 1 Affiliated with afl -cio https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 1,400 except where noted as Independent (Ind.). 35 Developments in Industrial Relations Health insurance extended to the unemployed Employees and their dependents gained additional health insurance protection in 1986 under provisions of the Consol idated Omnibus Budget Reconciliation Act of 1985 (Public Law 99-272). Under the Act, employers with more than 20 employees who offer group health insurance must continue coverage for up to 18 months for workers who are laid off or quit, and for up to 36 months for widows and divorced spouses and their dependents. Employers generally criti cized the provisions, even though the cost of the mandated coverage, and a 2-percent administration fee, must be borne by the beneficiaries. The employers contend that it will be difficult and expen sive to keep track of former employees, particularly in high turnover industries. They also maintain that premiums will be driven up because persons with chronic medical prob lems will tend to retain coverage. Another problem, accord ing to critics, is that some people will not continue cover age, but will initiate coverage if they suffer a health problem. The law provides for retroactive coverage if the employer receives the first premium within 105 days after an applicant indicates he or she intends to join the plan. Proponents of the coverage extension say it is vital to help reduce the number of people not protected by health in surance, estimated to be between 30 and 37 million. nlrb upholds safety complaint ruling In a 3 -0 decision, the National Labor Relations Board affirmed its 1984 ruling that an employer was justified in firing an employee who acted alone *in refusing to drive a company truck he deemed unsafe. In its 1986 opinion, the Board said the employee’s action would have been war ranted if it was “concerted” or “engaged in with or on the authority of other employees, and not solely by and on behalf of the employee himself.” In the 1984 decision, the Board had reversed the prece dent it had established in a 1975 case in which it had ex panded the definition of “concerted activity” by ordering the reinstatement of a maintenance worker who was fired after he acted alone in filing a safety complaint with a State “Developments in Industrial Relations” is prepared by George Ruben of the Division o f Developments in Labor-Management Relations, Bureau of Labor Statistics, and is largely based on information from secondary sources. 36 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis agency. On appeal, a Federal district court had reversed the 1984 decision and returned it to the Board for reconsider ation. In its finding, the district court said that the Board had “misconstrued the bounds of the law,” which is intended to protect workers who act to protect themselves on the job. The attorney for Kenneth Prill, the fired truck driver, said the Board’s 1986 decision would be appealed. The em ployer involved is Meyers Industries, a boat manufacturer located in Tecumseh, m i . Boston University faculty cannot bargain The National Labor Relations Board upheld a hearing examiner’s finding that department heads and full-time fac ulty at Boston University are managerial employees and therefore not entitled to bargain collectively. In its 4 -0 ruling, the Board said “the faculty has absolute authority over such matters as grading, teaching methods, graduation requirements and student discipline.” The Board also said that the teachers also play “an effective and determinative role” in recommending faculty hiring, tenure, promotions, and reappointments. The ruling was based on a 1980 Supreme Court decision that full-time faculty members at Yeshiva University were not covered by the National Labor Relations Act because they had managerial duties. Ann Franke, associate counsel of the American Associa tion of University Professors, called the decision “another precedent that administrations will find extremely useful in justifying a refusal to bargain.” She said the Association was considering an appeal of the decision and that future rulings in such cases will hinge on the extent of faculty involvement in school management. The decision does not prohibit fac ulty members from joining unions or associations such as the American Association of University Professors, which has had a chapter at Boston University since 1975. Catfish processors vote for union representation The Food and Commercial Workers claimed a major vic tory in its 7-year organizing campaign in Mississippi after winning a representation election at Delta Catfish Proces sors’ plant in Indianola. About 925 of the company’s 1,050 employees were eligible to vote in the National Labor Rela tions Board election. The tally was 489-349 in favor of the union. More than 2,000 workers in the State are employed in the catfish processing industry, of which Delta is the largest employer. At the time of the election, the union was negotiating with Farm Fresh Catfish in Hollandale on an initial contract for 200 workers it organized in 1985. The organizing drive, which has also included other types of industries in the State, has also encountered some set backs. The latest came in August, when workers at Con Agra’s catfish plant in Isola rejected union representation by a 162-to-l 19 vote. During the representation drive at Delta Catfish, the Food and Commercial Workers contended that the employees were underpaid, averaging $3.90 an hour, did not have paid sick leave or adequate health insurance, and were subject to excessive discipline. The company maintained that the em ployees did not “need a third party to speak for them because our company and our employees will work out any problems we might have.” Winery workers accept previously rejected pact A 7-week strike against 11 of California’s Largest winer ies ended when the employers threatened to hire permanent replacements for the 2,200 striking workers. The strike oc curred during the critical grape-crushing season, but the wineries maintained normal production using supervisory employees, temporary replacements, and some returning strikers, according to an official of the California Winery Employers Association. George J. Orlando, President of the Distillery, Wine and Allied Workers union, said that employee acceptance of the “final offer” they had turned down 5 days earlier resulted from “the understandable fear that remaining on the picket line would result in the loss of their jobs.” The settlement provided for an immediate cut of 50 cents an hour in pay, which ranged from $6.34 to $15.54 accord ing to the Association, and averaged $10.75 according to the union. There also was a 25-cent-an-hour cut in the employ ers’ financing of pensions, and an increase in the annual individual deductible under the health insurance plan. In another important change, the agreement will run to March 31, 1991, diminishing the impact of a possible strike because it will occur prior to the grape-crushing period. The previous contract expired on July 31, 1986. The Association said the compensation cuts accepted by the employees were needed to help the wineries compete with increased imports and with a growing number of nonunion lower cost producers. Timken steelworkers take pay cut A recent United Steelworkers settlement providing for cuts in compensation involved 6,000 employees of Timken Co. plants in Canton, Columbus, and Wooster, oh . Timken, which makes roller bearings as well as steel, had tradition ally followed the settlement pattern set by the other compa nies bargaining as the Coordinating Committee Steel Com https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis panies. This was not possible in 1986 because the breakup of the bargaining association resulted in wide variations in settlement terms at the various companies. The companies contended that such variations in terms were necessary be cause of differences in their financial condition. The Timken accord, which was preceded by a 1-month strike, provides for a 45-cent-an-hour pay cut, which will be restored in 15-cent increments at the end of each contract year. Immediately after the cut, average pay was $10.95 according to the union, and $11.84 according to the com pany. The automatic cost-of-living pay allowance formula was modified to provide quarterly adjustments of 1 cent an hour for each 0.3-point rise in the bls Consumer Price Index for Urban Wage Earners and Clerical Workers (1967=100). The provision becomes operative in the second year and reflects only possible cpi movement between 4 and 6 percent in that year and between 1.5 and 6 percent in the third year (previously, there was no 6-percent annual cap). Pension rates were raised by $1.50 a month for each year of credited service, bringing the range of rates to $19—$22. Also, employees age 60 with 30 years of service were given two opportunities (during the last months of both 1986 and 1987) to retire with a $400 special pension supplement con tinuing to age 62. In contrast with other 1986 settlements in the steel indus try, Empire-Detroit Steel Co. and United Steelworkers Lo cal 169 negotiated a 3-year contract that does not call for a cut in employee compensation. Company President John Frecka said, “We’re profitable. I saw no reason to insist upon concessions.” The contract does provide for possible annual performance awards of $150, $300, or $450, based on the company’s financial results during the preceding 12 months. The accord, covering 1,100 workers in Mansfield, oh , also provides for a reopening of negotiations if the company encounters unexpected difficulties. Paperworkers approve ‘flexible’ work assignments In Rumford, me , a 2|-month strike against Boise Cascade Corp.’s largest paper mill ended when members of the United Paperworkers union approved a 3-year contract that included a “flexible work assignment” plan the company had been seeking since 1980. In 1984, Boise Cascade unilat erally introduced part of the plan by consolidating 12 job classifications into seven. In response to a complaint filed by the union, an arbitrator later overturned the company move. Nevertheless, the company claimed that the job con solidation improved productivity and morale during the 18 months it was in effect. Under the bargained approach, Boise Cascade can shift production workers into other jobs, and have nonbargaining unit employees perform duties that had previously been generally restricted to bargaining unit workers. Another as pect of the plan permits management to train machine oper37 MONTHLY LABOR REVIEW December 1986 • Developments in Industrial Relations ators to perform routine maintenance and minor repairs, cutting the down time that had resulted when the operators waited for regular maintenance workers to do the work. There also was a change in duties of maintenance workers, as 12 job classifications were reduced to two: machinists and instrument machinists. Wage provisions included a 50-cent-an-hour immediate increase, followed by 3-percent increases in the second and third years. According to a company official, the initial increase brought the average pay rate to $13.58 and the maximum for some machine tenders to more than $18. All employees on the payroll at the time of the contract signing also received a $1,000 lump-sum payment. Boise-Cascade also achieved a cost saving under a new stretched pay progression schedule. New employees will be paid 80 percent ($7.77) of top base pay during their first 6 months, and full base pay thereafter. The contract also provided for other cost reduction provi sions, including time-and-one-half pay for all overtime work (previously, double time and, on occasion, quadruple time pay applied to some overtime work); elimination of some restrictions on operating the mill on Independence Day and Christmas; and adoption of a cost-containment plan for health insurance, including an 80-percent/20-percent coinsurance instead of the previous “first-dollar” coverage. John Hancock provides ‘cafeteria’ benefits The flexible or “cafeteria” approach to employee benefits is illustrated in a settlement between John Hancock Mutual Life Insurance Co. and the Teamsters union for nearly 300 claims processors in Dearborn, mi. All of the employees have “core” coverage consisting of a major medical plan with a $350 annual deductible and life insurance equal to each employee’s annual compensation. Each employee also receives a number of weekly credits which can be used for alternate or additional benefits, such as a major medical plan with a $175 annual deductible, additional life insurance, dependent life insurance, a survivor’s income plan, dental coverage, and vision coverage. Employees are permitted to select coverage in excess of their available credits if they assume the additional cost. In addition to pension improvements, the 3-year contract provided for 5-percent annual pay increases and a lump-sum payment at the end of the first contract year equal to 7 percent of earnings during that year, followed by a 5percent payment at the end of the second year and a 4percent payment at the end of the final year. Machinery workers take $1 hourly pay cut Employees of Hamischfeger Corp., a machinery manu facturer, have agreed to a $1 an hour pay cut and other cost reduction changes in return for a possible share of profits and a company commitment to modernize the plants, lo cated in the Milwaukee, wi, area. If the company meets the 38 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis specified profit objective during the fiscal year beginning November 1, 1986, the 1,250 employees will receive $1.20 for each hour worked during the period. If the profit exceeds the objective, the distribution will be larger. If the com pany’s profit level is “on target” after the first 6 months, the employees will then receive 25 percent of the expected full-year total payout. Other terms of the 3-year contract negotiated by United Steelworkers Local 1114 included a suspension of automatic cost-of-living adjustments during the first 2 years and a 15-cent limit on adjustments during the final year; adoption of a two-tier compensation system providing for lower pay and benefit levels for new employees; lower vacation pay; and employee payment of a larger share of health insurance costs. Hamischfeger’s obligation for plant modernization was set at a minimum of $4.5 million over the contract term. Of that amount, the union will have a voice in spending $250,000 a year. The company also agreed to establish a job training fund of $30,000 a year to be administered by a joint committee. Hospitals, nursing homes in New York settle In New York City, 40,000 employees were covered by a settlement between the League of Voluntary Hospitals and Nursing Homes and Local 1199, Drug, Hospital and Health Care Employees Union. The League comprises 40 nonprofit hospitals and 9 nonprofit nursing homes. Earlier, five other nonprofit hospitals had settled on terms that were reportedly slightly more favorable to their 6,500 employees repre sented by Local 1199, which is part of the Retail, Wholesale and Department Store Union. The League contract provides for an initial wage increase of 5 percent, retroactive to the August 28, 1984, ending date of the 47-day strike that preceded the 1984 settlement. This amount, to be paid in two lump-sums, represents a 5-percent increase scheduled under the 1984 accord but never imple mented because of a dispute over the legality of the contract. (The 1984 settlement called for an additional 5-percent in crease which went into effect as scheduled.) The 3-year 1986 contract also calls for wage increases of 4 percent on November 1, 1986, and July 1, 1987, and 5 percent on July 1, 1988, all calculated on pay rates at the time of settlement, rather than being compounded. Accord ing to the union, average pay at the time of settlement was $370 a week for nurses, nurses’ aides, housekeeping and laboratory personnel, social workers, and clerical workers. The union agreed to several changes intended to moderate the cost of the settlement. One was that entry pay rates were only increased 9 percent over the term, instead of 13 per cent. Also, new employees will be paid 4 percent less than normal pay rates during their first year. In the benefits area, employers’ financing of pensions was changed to an amount equal to 7 percent of each employee’s base pay, from 8 percent of gross pay. (Despite this reduction, an existing surplus enabled the parties to request that the plan trustees raise benefits by 10 percent for current retirees, retroactive to January 1, 1985, and by the same amount for future retirees.) Health insurance benefits were not changed, but the parties did adopt a cost-containment plan calling for such measures as a second opinion requirement before nonemer gency surgery. Food stores settlements In Washington, DC, and nearby Maryland and Virginia, 18,500 employees of Safeway Stores Inc. and Giant Food Inc. were covered by a 3-year contract negotiated by Local 400 of the United Food and Commercial Workers. Similar terms also were negotiated by Local 27 for 7,000 employees in the Baltimore, m d , area. Under the Local 400 settlement, employees hired prior to the October 1983 effective date of the prior contract did not receive wage increases. However, they will receive six semiannual lump-sum payments, each ranging from $175 to $500, depending on their assignment and number of hours worked. Workers hired after October 1983 will receive wage increases of $1.30 an hour, narrowing the differential with the longer service employees that resulted from adop tion of a two-tier pay system in 1983. The negotiators eliminated two-tier insurance benefits by adopting a uniform program for full-time employees and another less generous program for part-time employees. Pension rates for employees hired prior to October 1983 were increased to $32 a month (from $20) for each year of credited future service for full-time employees, and to $20 (from $16) for part-timers. For employees hired later, the rates were increased to $13.20 for full-time workers and to $6.60 for part-timers. All of the 2,300 employees who re tired prior to January 1, 1986, will receive 3-percent in creases in their benefits on January 1 of 1987, 1988, and 1989. Elsewhere in the industry, 650 members of United Food and Commercial Workers Local 23 agreed to pay cuts rang ing from 24 cents to $1.15 an hour in a settlement with 12 Kroger Co. stores in eastern Ohio and nearby West Virginia. According to a company official, the pay cuts and other negotiated labor-cost savings could lead to expansion of operations in the Ohio Valley area, despite intense competi tion from nonunion stores. The impact of the pay cut will be reduced by a provision for one-time lump-sum payments in late 1986 equal to the individual’s cut in hourly pay multiplied by the number of hours worked between October 1985 and October 1986. There will not be any other such payments under the 5-year contract, but a new profit-sharing plan provides for possible annual distributions beginning in March 1988. Each worker’s share of any distribution will be proportional to earnings lost as a result of the pay cut. In each of the last 2 years of the contracts, full-time employees will be guaran https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis teed minimum payments of $300 and part-timers will be guaranteed $150. Other changes that will reduce labor costs include a “buy out” offer under which top-scale full-time employees will receive $8,000 for resigning and top-scale part-timers will receive $4,000; 5 weeks maximum paid vacation, instead of 6 weeks; two paid personal leave days per year, instead of five; a $19.88 reduction in Kroger’s $247.88 a month fi nancing of insurance benefits; and expanded duties for meat clerks. Kroger estimated that all of the contract changes would result in a cost savings of about $2 an hour. Hotel employees settle More than 20,000 members of the Hotel Employees and Restaurant Employees were covered by settlements in three cities. In Atlantic City, n j , workers settled with seven casino hotels, ending a 1-day strike. The settlement covered 13,000 people, including employees of three operations that were not struck in return for assurances that they would accept the same terms as the other casino hotels. The settle ment, reached under a contract reopening provision, ex tended the contract by 1 year, and provides for 10- to 20cent-an-hour pay increases in 1986 and 1987. In Washington, d c , Local 25 negotiated a 3-year contract that covered more than 6,000 employees of 17 hotels in the employers’ bargaining association and 11 other hotels that accepted the same terms. The accord provides for 5-percent pay increases in each year, bringing the average pay of housekeepers, dishwashers, and food service workers to $8 an hour. In San Francisco, Local 2 settled for 2,150 employees of six large hotels and was pressing 32 hotels to accept the same terms. During the 3-year contract term, employees will receive annual pay increases of 15 cents an hour for those who receive tips and 35 cents for those who do not, as well as improvements in overtime pay, sick leave, and med ical and pension benefits. Home work proposed in producing ladies apparel In a move that drew criticism and vows of legal action from organized labor, the Department of Labor proposed regulations to allow employees in six industries to work in their homes, as long as their employers get a Government certificate. Secretary of Labor William Brock said that “because of the nationwide interest in home work employ ment,” the period for public comment on the proposal would be 60 days. The industries that would be affected are the production of women’s apparel, jewelry, gloves and mittens, buttons and buckles, handkerchiefs, and embroidery. The proposal came after an 18-month study of the effectiveness of the certification plan that was instituted in the knitted outerwear 39 MONTHLY LABOR REVIEW December 1986 • Developments in Industrial Relations industry in December 1984. In that industry, homework is permitted after employers register with the Department of Labor so that their adherence to minimum wage, child labor, and other laws can be monitored. Jay Mazur, President of the Ladies Garment Workers, said the proposed rules give “the green light to thousands of sweatshop operators throughout this country who exploit our most vulnerable workers.” He predicted that thousands of factory workers in the six industries would lose their jobs or suffer a decline in their “already modest standard of living due to competition with sweatshop wages.” Stephen Goodrick, executive director of the Center on National Labor Policy, a lobbying and legal advocacy group, said the rule change will “liberate this section of the economy for entrepreneurial growth and productivity.” He also said that 70,000 people are already engaged in illegal commercial work in the home and that legalizing the prac tice would raise government tax revenue by $50 million a year. Glass container workers restore forgone pay In the glass container industry, 17,000 workers negoti ated restoration of a 31-cent-an-hour scheduled wage in crease they had given up in 1985 when the employers were experiencing financial problems. The 1985 settlements had also extended the existing agreement by 1 year, to March 31, 1987. Under the 1986 settlement, which came during a period of improved employer profits, the contract was ex tended to March 31, 1990, with provision for a 21-cent wage increase in April 1987, 26 cents in April 1988, and 31 cents in April 1989. Prior to the settlement, the average wage was $9.40. Pensions were increased effective in April 1988 for all employees who retire after April 1986. The employees’ cost for health insurance was increased, but the companies did agree to pay more into a trust fund for retirees’ health cov erage. They also agreed to assume the workers’ 50-percent share of a 10-cent-an-hour payment into an industry promo tion fund. The companies that settled with the Glass, Pottery, Plas tic and Allied Workers were Brockway Inc., for 6,500 workers; Anchor-Hocking Corp. (4,300); Foster Forbes Glass Co. (3,000); Incon Packaging Inc. (2,100); and Ball Corp. (1,100). Negotiations were continuing with Owens Illinois Inc. for 12,000 workers and with Diamond-Bathurst for 5,000. Teachers’ agreements Members of the Portland (or) Association of Teachers negotiated a 3-year contract that calls for wage increases of 5 percent in the first year and 4.5 percent in the second year. 40 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis In the third year, the 3,200 teachers will receive an increase of at least 3.5 percent but not more than 6.5 percent, de pending on the movement of the Portland area Consumer Price Index. After the first-year increase, salaries ranged from $17,732 for starting teachers to $33,240 for teachers with a master’s degree plus 45 credit hours of academic training and 18 years of experience. Other terms included a doubling of college tuition reim bursement, to six credit hours per year. In Little Rock, ar , 1,100 teachers received two payments totaling $520 to $971 by agreeing to add 6 | days to the 1985-86 school year. The payment resulted when the school district received a Federal grant for magnet schools, permit ting the district to distribute to teachers $1.6 million it had budgeted from its own funds for the project. Early in 1986, the district gave each teacher $475 and was planning to distribute the balance of the $1.6 million in the same way, but the State Board of Education ruled that this could be done only if the school year was extended, leading to the 6^-day extension and an additional $45 to $496 pay ment, varying according to each teacher’s salary scale. The payments did not become part of the teachers’ con tractual salary scale for the school year, which was raised 1.61 percent on September 9, 1985, under the contract ne gotiated then. This brought the salary range to $14,098 to $26,308 a year, depending on education and length of serv ice. Ohio State workers get initial contract About 35,000 State employees were covered by an initial contract negotiated by the Ohio Civil Service Employees Association, which affiliated with the State, County and Municipal Employees union in 1984. Ohio State employees gained the right to bargain on wages and benefits under 1984 legislation. Wage provisions included an immediate increase of 58 cents an hour or 7 percent (whichever is greater) and a $450 bonus for those on the payroll before April 1; 1986; an increase of 44 cents or 5 percent, in the second year; and 65 cents or 7 percent in the third year, plus a $300 bonus on November 1, 1988, for those on the payroll on October 15, 1988. Prior to the initial pay increase, average hourly rates for the eight units of workers involved ranged from $6.63 for food service, custodial, and laundry workers to $11.64 for engineers, biologists, and geologists. Benefit changes included an eleventh paid holiday; 10 annual sick leave days payable at 100 percent, instead of 7 days payable at 90 percent; three personal leave days and prorated paid vacation for part-time employees; and adop tion of a program to aid corrections officers suffering after effects of being taken hostage. □ Book Reviews Managerial discretion in the workplace M anagem ent R ights: A L egal and A rbitral A nalysis. By Marvin Hill, Jr. and Anthony V. Sinicropi. Washing ton, The Bureau of National Affairs, Inc., 1986. 560 pp. $40. Source books that deal with questions of legal rights for practitioners usually face the kind of dilemma that confronts do-it-yourself guides to medicine: offer summary descrip tions and readers may not be able to tell when they have a problem, but present a detailed discussion and they may start to think that they can cut the doctor out of the process. Marvin Hill, Jr. and Anthony V. Sinicropi have avoided that dilemma by writing a book that is not for practitioners in the usual sense but for the labor relations “doctors”— arbitrators and those who present arbitration cases. The book focuses on the issue of management rights under collective bargaining agreements— situations where the agreements do not clearly specify the rights of the parties. In fact, the book’s theme is much broader than what many arbitrators will think of as management rights issues, in that it goes beyond such common problems as technolog ical change and job assignment to consider virtually every set of circumstances where contracts may be silent. This broad coverage has the great advantage of presenting a sin gle source for all such issues. However, some issues, such as employee discipline and discharge and seniority deci sions, have already been discussed in depth elsewhere, and readers may want to consult the existing literature. The book traces the evolution of management rights pri marily through a detailed analysis of arbitration decisions, although rulings of the National Labor Relations Board, case law, and legislation are also considered. It begins by discussing some general issues, such as the important role of past practice in determining management rights, and then addresses various areas of those rights in turn. Perhaps the most interesting section of the book is the discussion of areas where management’s interests may conflict with em ployees’ interests in privacy, for example, the use of polygraph tests and surveillance and searches in the work place. Separate discussions of management’s rights with respect to medical and psychiatric screening, including drug testing and the handling of employees with aids , make the book very topical. M anagem ent R ights is obviously not a book for everyone. Nonarbitrators involved in day-to-day labor relations should https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis of course be aware that the analyses of the issues here will not necessarily help determine how a given arbitrator might rule on a particular issue because the precedential value of arbitration decisions is limited at best. In terms of reading, the book is filled with quotations and citations that com bined with the often convoluted path of arbitration decisions make it considerably slower going than, say, your average gothic novel. But this detail is precisely what results in a very useful book, especially for arbitrators and lawyers who have lim ited experience with some of the issues raised here because they can quickly see the line of reasoning in previous deci sions. By identifying the trends in arbitration decisions in the difficult area of management’s rights, the authors have traveled through relatively uncharted waters and have con tributed a real service to the field of labor relations. — Peter C appelli Associate Professor The Wharton School University of Pennsylvania Labor in a changing America O ut o f W ork: The F irst C entury o f U nem ploym ent in M a s sachusetts. By Alexander Keyssar. New York, Cam bridge University Press, 1986. 469 pp. $49.50, cloth; $14.95, paper. Alexander Keyssar’s book is a scholarly contribution and a valuable resource to economists, labor historians, trade unionists, and policymakers. Keyssar investigates labor markets from the 1870’s to the 1920’s, a period often passed over by present-day economists and economic historians who tend to direct more attention to the Great Depression and Industrial Revolution in the United States. (John A. Garraty’s U nem ploym ent in H istory: E conom ic Thought and P ublic P olicy and Gordon, Edwards, and Reich’s S eg m ented W ork, D ivided W orkers are notable exceptions.) He blends an abundance— sometimes an overabundance— of empirical data with impressionistic evidence depicting the extent and character of the period’s unemployment. Idle labor is a centuries-old phenomenon. But as the structure of production shifted toward manufacturing throughout the 19th century, the consequences for a typical jobless worker became harsher by the 1870’s with the disap pearance of alternative activities such as household produc tion. 41 MONTHLY LABOR REVIEW December 1986 • Book Reviews With the stage set, Keyssar then offers four original view points in Out o f Work. First is his chronicling of the unbe lievably slow pace at which unemployment came to be re garded as a conspicuous social problem. Public perception only gradually evolved from considering unemployment as an individual, labor supply problem to understanding it as a labor demand problem endemic to the industrial economy. The tendency for chronic unemployment to uproot many working men was initially regarded as “the tramp problem.” Reforms to prevent unemployment or its hardship were routinely rebuffed until 1915, when government and busi ness began to recognize the threat of unemployment to the existing social structure. Economists viewed unemployment as transitory and thus proved little help in remedying it. Keyssar also describes how chronic unemployment grad ually transformed trade unions from organizations promot ing universal policies to benefit all labor such as a shorter workweek to policies pursuing exclusionist measures, for example, restricting apprenticeships in order to protect members’ jobs. The author creatively uses the available data to construct unemployment frequencies— the percentage of workers un employed at some point during the year. The data reveal startlingly high frequencies upwards of 30 percent in the depths of a downturn and surprisingly high proportions in prosperous times as well. Keyssar’s final and most important point derives from these frequencies. The 1870-1920’s era was apparently characterized by a substantial volatility in employment. In come insecurity rather than low incomes per se was thus the key problem workers faced. Their vulnerability to sudden layoff and income loss cut across occupations, industries, ethnic groups, and gender. One immediate and two subse quent developments from this era could be traced to the widespread income insecurity. Keyssar colorfully illustrates how workers established ad hoc methods of coping with the persistent threat of unemployment. Children were periodi cally sent to work and debt was commonly incurred with local shopkeepers. After 1915, businesses began to discover the costs associated with high labor turnover. Some imple mented progressive personnel practic6s including the offer of continuous employment over seasonal (but not cyclical) fluctuations, work sharing, and a rationalized allocation of layoffs based on seniority. The modem implicit contract and its increased predictability of incomes were thus bom. Fi nally, the widespread income insecurity ultimately led to the adoption of unemployment insurance programs. Despite its merits, Out o f Work has some shortcomings. The author often fails to clearly distinguish structural, fric tional, and cyclical sources of unemployment, essential in assessing the consequent hardship. Also, there is no direct mention of productivity growth in industry and its potential role in suppressing employment levels, shortening the work week, or varying wages and living standards. In addition, Keyssar often subtly implicates but never really outright 42 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis indicts the widely accepted employment-at-will doctrine as the ultimate source of the era’s employment volatility. This is perhaps the principle message and it is left to the reader to infer. Finally, it is also left to the reader to gauge the relative condition of labor because we are given no refer ence point. Perhaps some of the redundancy that appears throughout the book could be sacrificed for some compari sons to unemployment frequencies, the composition of the “reserve army” of unemployed, and the use of short-time versus layoffs in more recent years. A final comparison Keyssar misses is the parallel to the current fad of identifying laissez faire as the policy solution rather than the problem. Even with these shortcomings, Out of Work reminds us that labor market instability and unem ployment were the cause of union and government interven tion rather than the result of it. — L onnie G olden Assistant Professor of Economics University of Wisconsin, Whitewater Publications received Economic and social statistics Bernstein, Jeffrey I. and M. Ishaq Nadiri, Research and Develop-• ment and Intraindustry Spillovers: An Empirical Application o f Dynamic Duality. Cambridge, MA, National Bureau of Eco nomic Research, Inc., 1986, 35 pp. (nber Working Paper Series, 2002.) $2, paper. Bluestone, Barry and John Havens, “The Microeconomic Impacts of Macroeconomic Fiscal Policy, 1981-1985,” Journal o f Post Keynesian Economics, Summer 1986, pp. 499-514. Danziger, James N. and Kenneth L. Kraemer, People and Com puters: The Impacts o f Computing on End Users in Organiza tions . New York, Columbia University Press, 1986, 268 pp. $32.50. Diewert, W. Erwin and Catherine J. Morrison, Export Supply and Import Demand Functions: A Production Theory Approach. Cambridge, MA, National Bureau of Economic Research, Inc., 1986, 29 pp. (nber Working Paper Series, 2011.) $2, paper. Hamermesh, Daniel S ., Incentives fo r the Homogenization o f Time Use. Reprinted from Economic Incentives. Edited by Bela Belassa and Herbert Giersch, pp. 124-39. Cambridge, ma, Na tional Bureau of Economic Research, Inc., 1986. (nber Reprint Series, 730.) $2, paper. Helliwell, John, Supply-Side Macroeconomics . Cambridge, ma, National Bureau of Economic Research, Inc., 1986, 45 pp. (nber Working Paper Series, 1995.) $2, paper. Lichtenberg, Frank R. and Zvi Griliches, Errors o f Measurement in Output Deflators . Cambridge, MA, National Bureau of Eco nomic Research, Inc., 1986, 27 pp. (nber Working Paper Series, 2000.) $2, paper. Stiglitz, Joseph E., The Wage-Productivity Hypothesis: It’s Eco nomic Consequences and Policy Implications fo r L.D.C.s. Cambridge, MA, National Bureau of Economic Research, Inc., 1986, 46 pp. (nber Working Paper Series, 1976.) $2, paper. Economic growth and development Industry and government organization Oberai, A. S., “Land Settlement Policies and Population Redistri bution in Developing Countries: Performance, Problems and Prospects,” International Labour Review, March-April 1986, pp. 141-61. Card, David, “The Impact of Deregulation on the Employment and Wages of Airline Mechanics,” Industrial and Labor Relations Review, July 1986, pp. 527-38. Sah, Raaj Kumar and Joseph E. Stiglitz, “The Architecture of Economic Systems: Hierarchies and Polyarchies,” The Ameri can Economic Review, September 1986, pp. 716-27. Schultze, Charles L., Other Times, Other Places: Macroeconomic Lessons from U.S. and European History. Washington, The Brookings Institution, 1986, 88 pp. $15.95, cloth; $7.95, paper. Education Chubb, John E. and Terry M. Moe, “No School Is an Island: Politics, Markets, and Education,” The Brookings Review, Fall 1986, pp. 21-28. Duke, Benjamin, The Japanese School: Lessons for Industrial America. New York, Praeger Publishers, 1986, 242 pp. $32.95, cloth; $12.95, paper. Istance, David and Jillian Chapman, “Priority for Educational Equality,” The O E C D Observer, July 1986, pp. 17-19. International Labour Organization, The Promotion o f Small and Medium-Sized Enterprises: Report VI (International Labour Conference, 72d Sess.) Geneva, International Labour Organiza tion, 1986, 104 pp. Available from the Washington branch of ILO. International economics Holtham, Gerald, “A Case for International Coordination of Mon etary Policy,” The Brookings Review, Fall 1986, pp. 37-43. Servais, J. M., “Flexibility and Rigidity in International Labour Standards,” International Labour Review, March-April 1986, pp. 193-208. Zetter, John, “Japan: The Urban Challenge,” The July 1986, pp. 4-8. O E C D Observer, Labor and economic history Neuschatz, Michael, The Golden Sword: The Coming o f Capital ism to the Colorado Mining Frontier. Westport, CT, Greenwood Press, 1986, 301 pp. $37.95. McPherson, Michael S. and Mary S. Skinner, “Paying for College: A Lifetime Proposition,” The Brookings Review, Fall 1986, pp. 29-36. Suggs, George G., Jr., Union Busting in the Tri-State: The Okla homa, Kansas, and Missouri Metal Workers’ Strike o f 1935. Norman, The University of Oklahoma Press, 1986, 282 pp. $22.50. Industrial relations Labor force Allen, Steven G. and Robert L. Clark, “Unions, Pension Wealth, and Age-Compensation Profiles,” Industrial and Labor Rela tions Review, July 1986, pp. 502-17. Darby, Michael R., John C. Haltiwanger, Mark W. Plant, The Ins and Outs o f Unemployment: The Ins Win. Cambridge, MA, Na tional Bureau of Economic Research, Inc., 1986, 48 pp. (nber Working Paper Series, 1997.) $2, paper. Becker, Don, “Retirement ‘Pick-Up’ Systems: Reviewing the Pros and Cons,” California Public Employee Relations, September 1986, pp. 2-11. Berry, Robert C. and Glenn M. Wong, Law and Business o f the Sports Industries: Vol. I, Professional Sports Industries; Vol. II, Common Issues in Amateur and Professional Sports. Dover, ma , Auburn House Publishing Co., 1986, 570 and 581 pp. $45 each. Färber, Henry S. and Max H. Bazerman, “The General Basis of Arbitrator Behavior: An Empirical Analysis of Conventional and Final-offer Arbitration,” Econometrica, July 1986, pp. 819-44. Hill, Marvin, Jr., and Anthony V. Sinicropi, Management Rights: A Legal and Arbitral Analysis. Washington, The Bureau of National Affairs, Inc., 1986, 560 pp. Kochan, Thomas A., Robert B. McKersie, and John Chalykoff, “The Effects of Corporate Strategy and Workplace Innovations on Union Representation,” Industrial and Labor Relations Re view, July 1986, pp. 487-501. Lipset, Seymour Martin, ed., Unions in Transition: Entering the Second Century. San Francisco, CA, Institute for Contemporary Studies, 1986, 506 pp. $29.95, ics Press, 785 Market Street, San Francisco, CA 94103. “Labour Market Flexibility: A Controversial Issue,” The Observer, July 1986, pp. 13-16. o e c d Leonard, Jonathan S ., In the Wrong Place at the Wrong Time: The Extent o f Frictional and Structural Unemployment. Cambridge, MA, National Bureau of Economic Research, Inc., 1986, 37 pp. (nber Working Paper Series, 1979.) $2, paper. The Bureau of National Affairs, Inc., The Changing Workplace: New Directions in Staffing and Scheduling. Washington, 1986, 140 pp. $50, bna’s Customer Service Center, 9435 Key West Avenue, Rockville, MD 20850. Tokyo Metropolitan Government, Labor in Tokyo. Tokyo, Japan, Tokyo Metropolitan Government, 1986, 148 pp. (tmg Munici pal Library, 20) Zachmann, Roberto, “Reduction of Working Time as a Means to Reduce Unemployment: A Micro-Economic Perspective,” In ternational Labour Review, March-April 1986, pp. 163-75. Management and organization theory Argyris, Chris, “Skilled Incompetence,” Harvard Business Re view, September-October 1986, pp. 74-79. Hayes, Robert H. and Kim B. Clark, “Why Some Factories are More Productive Than Others,” Harvard Business Review, September-October 1986, pp. 66-73. Luria, Daniel D., “New Labor-Management Models from De troit?” Harvard Business Review, September-October 1986, be ginning on p. 22. Monetary and fiscal policy McConnell, Campbell R. and Stanley L. Brue, Contemporary Labor Economics. New York, McGraw-Hill Book Co., Inc., 1986, 607 pp. $30.95. Becketti, Sean, “Corporate Mergers and the Business Cycle,” Eco nomic Review, Federal Reserve Bank of Kansas City, May 1986, pp. 13-26. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 43 MONTHLY LABOR REVIEW December 1986 • Book Reviews Henry, Mark, Mark Drabenstott, Lynn Gibson, “A Changing Rural America,” Economic Review, Federal Reserve Bank of Kansas City, July-August 1986, pp. 23-41. Litan, Robert E ., “Taking the Dangers Out of Bank Deregulation,” The Brookings Review, Fall 1986, pp. 3-12. Roley, V. Vance, “Market Perceptions of U.S. Monetary Policy Since 1982,” Economic Review, Federal Reserve Bank of Kansas City, May 1986, pp. 27-40. Volcker, Paul A., “The Rapid Growth of Debt in the United States,” Economic Review, Federal Reserve Bank of Kansas City, May 1986, pp. 3-12. Skinner, Wickham, “The Productivity Paradox,” Harvard Busi ness Review, July-August 1986, pp. 55-59. Wages and compensation Aaron, Henry J. and Cameran M. Lougy, The Comparable Worth Controversy. Washington, The Brookings Institution, 1986, 57 pp. $7.95, paper. Corson, Walter, Alan Hershey, Stuart Kerachsky, Nonmonetary Eligibility in State Unemployment Insurance Programs: Law and Practice. Kalamazoo, Ml, The W. E. Upjohn Institute for Employment Research, Inc., 1986, 138 pp. $14.95, cloth; $9.95, paper. Young, Harrison, “Bank Regulation Ain’t Broke,” Harvard Busi ness Review, September-October 1986, pp. 106-12. Schwartz, Saul, “The Relative Earnings of Vietnam and KoreanEra Veterans,” Industrial and Labor Relations Review, July 1986, pp. 564-72. Prices and living conditions Welfare programs and social insurance Altonji, Joseph G. and Aloysius Siow, Testing the Response o f Consumption to Income Changes with (Noisy) Panel Data. Cambridge, ma, National Bureau of Economic Research, Inc., 1986, 43 pp. (nber Working Paper Series, 2012.) $2, paper. Anderson, Kathryn H., Richard V. Burkhauser, Joseph F. Quinn, “Do Retirement Dreams Come True? The Effect of Unantici pated Events on Retirement Plans,” Industrial and Labor Rela tions Review, July 1986, pp. 518-26. Carlton, Dennis W ., “The Rigidity of Prices,” The American Eco nomic Review, September 1986, pp. 637-58. Gisser, Micha, “Price Leadership and Welfare Losses in U.S. Manufacturing,” The American Economic Review, Septem ber 1986, pp. 756-67. Productivity and technological change Griliches, Zvi, Productivity, R&D, and Basic Research at the Firm Level in the 1970’s. Reprinted from The American Eco nomic Review, March 1986, pp. 141-54. Cambridge, ma, Na tional Bureau of Economic Research, Inc., 1986. (nber Reprint, 721.) $2, paper. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Ballantyne, Harry C., “Actuarial Status of the OASi and Di Trust Funds,” Social Security Bulletin, July 1986, pp. 5-9. Klees, Barbara and Carter Warfield, “Actuarial Status of the hi and SMI Trust Funds,” Social Security Bulletin, July 1986, pp. 1018. Robins, Philip K., “Child Support, Welfare Dependency, and Poverty,” The American Economic Review, September 1986, pp. 768-88. Tamburi, Giovanni and Pierre Mouton, “The Uncertain Frontier Between Private and Public Pension Schemes,” International Labour Review, March-April 1986, pp. 127-40. Current Labor Statistics Schedule of release dates for major Notes on Current Labor Statistics bls statistical series ...................................................................................................... ................................................................................................................................................................... 46 47 Comparative indicators 1. Labor market indicators.................................................................................................................................................................................................. 2. Annual and quarterly percent changes in compensation, prices, andproductivity .......................................................................................... 3. Alternative measures of wage and compensation changes .................................................................................................................................... 56 57 57 Labor force data 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. Employment status o f the total population, data seasonally ad ju sted .................................................................................................................. Employment status of the civilian population, data seasonally adjusted ............................................................................................................. Selected employment indicators, data seasonally adjusted ................................................................................................................................... Selected unemployment indicators, data seasonally adjusted ............................................................................................................................... Unemployment rates by sex and age, data seasonally adjusted ........................................................................................................................... Unemployed persons by reason for unemployment, data seasonally a d ju sted .................................................................................................. Duration o f unemployment, data seasonally adjusted ............................................................................................................................................ Unemployment rates o f civilian workers, by State ................................................................................................................................................. Employment of workers by State ................................................................................................................................................................................. Employment of workers by industry, data seasonally adjusted............................................................................................................................. Average weekly hours by industry, data seasonally adjusted ............................................................................................................................... Average hourly earnings by industry ......................................................................................................................................................................... Average weekly earnings by in d ustry......................................................................................................................................................................... Hourly Earnings Index by industry.............................................................................................................................................................................. Indexes o f diffusion: proportion o f industries in which employment increased, seasonally adjusted ...................................................... Annual data: Employment status o f the noninstitutional population ................................................................................................................ Annual data: Employment levels by industry ........................................................................................................................................................ Annual data: Average hours and earnings levels by industry............................................................................................................................. 58 59 60 61 62 62 62 63 63 64 65 66 67 67 68 68 68 69 Labor compensation and collective bargaining data 22. 23. 24. 25. 26. 27. 28. 29. Employment Cost Index, compensation, by occupation and industry group .................................................................................................. Employment Cost Index, wages and salaries, by occupation and industry g r o u p ......................................................................................... Employment Cost Index, private nonfarm workers, by bargaining status, region, and area s i z e .............................................................. Specified compensation and wage adjustments from contract settlements, and effective wage adjustments, situations covering 1,000 workers or more .............................................................................................................................................................. Average specified compensation and wage adjustments, bargaining situations covering 1,000 workers or m o r e .................................. Average effective wage adjustments, bargaining situations covering 1,000 workers or more .................................................................. Specified compensation and wage adjustments, State and local government bargaining situations covering 1,000 workers or more .............................................................................................................................................................. Work stoppages involving 1,000 workers or more ................................................................................................................................................. 70 71 72 73 73 74 74 74 Price data 30. 31. 32. 33. 34. 35. 36. 37. 38. 39. 40. 41. Consumer Price Index: U .S. City average, by expenditurecategory and commodity and service groups ................................................ Consumer Price Index: U .S. City average and localdata, all items .................................................................................................................... Annual data: Consumer Price Index, all items and major groups ..................................................................................................................... Producer Price Indexes by stage of processing ....................................................................................................................................................... Producer Price Indexes by durability o f p rod u ct...................................................................................................................................................... Annual data: Producer Price Indexes by stage of p ro cessin g .............................................................................................................................. U.S. export price indexes by Standard International Trade C lassification ......................................................................................................... U.S. import price indexes by Standard International Trade Classification......................................................................................................... U.S. export price indexes by end-use category ......................................................................................................................................................... U.S. import price indexes by end-use c a teg o ry ..................................................................................................................................... U .S. export price indexes by Standard Industrial C lassification........................................................................................................................... U.S. import price indexes by Standard Industrial Classification ......................................................................................................................... https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 75 78 80 81 82 82 83 84 85 85 85 86 45 MONTHLY LABOR REVIEW December 1986 • Current Labor Statistics Contents— Continued Productivity data 42. Indexes o f productivity, hourly compensation, and unit costs, data seasonally adjusted ............................................................................. 43. Annual indexes of multifactor productivity .............................................................................................................................................................. 44. Annual indexes of productivity, hourly compensation, unit costs, and p r ic e s ................................................................................................. 86 87 87 International comparisons 45. Unemployment rates in nine countries, data seasonally adjusted ........................................................................................................................ 46. Annual data: Employment status of civilian working-age population, ten countries ................................................................................. .. 47. Annual indexes of productivity and related measures, twelve countries .......................................................................................................... 88 89 90 Injury and illness data 48. Annual data: Occupational injury and illness incidence r a te s............................................................................................................................... Schedule of release dates for S e r ie s Employment situation ............................... b l s 91 statistical series R e le a s e P e r io d R e le a s e P e r io d R e le a s e P e r io d MLR t a b le d a te c o v e re d d a te c o v e re d d a te c o v e re d num ber December 5 November December February 6 January January 9 1; 4-21 Producer Price In d e x ................................. December 12 November January 9 December February 13 January 2; 3 3-35 Consumer Price In d e x ............................... December 19 November January 21 December February 27 January 2; 3 0-32 Real earnings ............................................. December 19 November January 21 December February 27 January 14-17 Productivity and costs: 3rd quarter 2; 4 2-44 Nonfarm business and February Major collective bargaining se ttle m e n ts... U.S. Import and Export Price Indexes 46 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis .. 2 4th quarter 2; 4 2-44 January 27 1986 January 27 4th quarter 1 -3 :2 2 -2 4 January 27 4th quarter 36-41 3; 2 5-28 NOTES ON CURRENT LABOR STATISTICS This section o f the Review presents the principal statistical series collected and calculated by the Bureau of Labor Statistics: series on labor force, employment, unemployment, collective bargaining settlements, consumer, producer, and international prices, productivity, international comparisons, and injury and illness statistics. In the notes that follow, the data in each group o f tables are briefly described, key definitions are given, notes on the data are set forth, and sources o f additional information are cited. Adjustments for price changes. Some data— such as the Hourly Earnings Index in table 17— are adjusted to eliminate the effect o f changes in price. These adjustments are made by dividing current dollar values by the Consumer Price Index or the appropriate component of the index, then multiplying by 100. For example, given a current hourly wage rate o f $3 and a current price index number of 150, where 1967 = 100, the hourly rate expressed in 1967 dollars is $2 ($3/150 x 100 = $2). The $2 (or any other resulting values) are described as “real,” “constant,” or “ 1967” dollars. General notes Additional information The following notes apply to several tables in this section: Seasonal adjustment. Certain monthly and quarterly data are adjusted to eliminate the effect on the data o f such factors as climatic conditions, industry production schedules, opening and closing of schools, holiday buying periods, and vacation practices, which might prevent short-term evaluation of the statistical series. Tables containing data that have been adjusted are identified as “seasonally adjusted.” (All other data are not seasonally adjusted.) Seasonal effects are estimated on the basis of past experience. When new seasonal factors are computed each year, revisions may affect seasonally adjusted data for several preceding years. (Season ally adjusted data appear in tables 1 - 3 ,4 - 1 0 , 13, 14, 17, and 18.) Begin ning in January 1980, the bls introduced two major modifications in the seasonal adjustment methodology for labor force data. First, the data are seasonally adjusted with a procedure called x —11 arima, which was devel oped at Statistics Canada as an extension o f the standard x - ii method previously used by bls. A detailed description of the procedure appears in The x - l l arima Seasonal Adjustment Method by Estela Bee Dagum (Statis tics Canada, Catalogue No. 12-564E , February 1980). The second change is that seasonal factors are calculated for use during the first 6 months of the year, rather than for the entire year, and then are calculated at midyear for the July-December period. However, revisions of historical data con tinue to be made only at the end of each calendar year. Seasonally adjusted labor force data in tables 1 and 4—10 were revised in the February 1986 issue o f the Review, to reflect experience through 1985. Annual revisions o f the seasonally adjusted payroll data shown in tables 13, 14, and 18 were made in the July 1986 Review using the X-ll arima seasonal adjustment methodology. New seasonal factors for productivity data in table 42 are usually introduced in the September issue. Seasonally adjusted indexes and percent changes from month to month and from quarter to quarter are published for numerous Consumer and Producer Price Index series. However, seasonally adjusted indexes are not published for the U .S. average All Items cpi. Only seasonally adjusted percent changes are available for this series. Data that supplement the tables in this section are published by the Bureau in a variety of sources. News releases provide the latest statistical information published by the Bureau; the major recurring releases are published according to the schedule preceding these general notes. More information about labor force, employment, and unemployment data and the household and establishment surveys underlying the data are available in Employment and Earnings, a monthly publication of the Bureau. More data from the household survey are published in the two-volume data book— Labor Force Statistics Derived From the Current Population Sur vey, Bulletin 2096. More data from the establishment survey appear in two data books— Employment, Hours, and Earnings, United States, and Em ployment, Hours, and Earnings, States and Areas, and the annual supple ments to these data books. More detailed information on employee com pensation and collective bargaining settlements is published in the monthly periodical, Current Wage Developments. More detailed data on consumer and producer prices are published in the monthly periodicals, The cpi Detailed Report, and Producer Prices and Price Indexes. Detailed data on all of the series in this section are provided in the Handbook of Labor Statistics, which is published biennally by the Bureau, bls bulletins are issued covering productivity, injury and illness, and other data in this section. Finally, the Monthly Labor Review carries analytical articles on annual and longer term developments in labor force, employment, and unemployment; employee compensation and collective bargaining; prices; productivity; international comparisons; and injury and illness data. Symbols p = preliminary. To increase the timeliness of some series, prelim inary figures are issued based on representative but incom plete returns. r = revised. Generally, this revision reflects the availability o f later data but may also reflect other adjustments, n.e.c. = not elsewhere classified, n.e.s. = not elsewhere specified. COMPARATIVE INDICATORS (Tables 1-3) Comparative indicators tables provide an overview and comparison of major bls statistical series. Consequently, although many of the included series are available monthly, all measures in these comparative tables are presented quarterly and annually. Labor market indicators include employment measures from two ma jor surveys and information on rates of change in compensation provided by the Employment Cost Index (eci) program. The labor force participation rate, the employment-to-population ratio, and unemployment rates for major demographic groups based on the Current Population (“household ”) Survey are presented, while measures o f employment and average weekly hours by major industry sector are given using nonagricultural payroll data. The Employment Cost Index (compensation), by major sector and by https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis bargaining status, is chosen from a variety of bls compensation and wage measures because it provides a comprehensive measure of employer costs for hiring labor, not just outlays for wages, and it is not affected by employment shifts among occupations and industries. Data on changes in compensation, prices, and productivity are pre sented in table 2. Measures of rates of change of compensation and wages from the Employment Cost Index program are provided for all civilian nonfarm workers (excluding Federal and household workers) and for all private nonfarm workers. Measures of changes in: consumer prices for all urban consumers; producer prices by stage of processing; and the overall export and import price indexes are given. Measures of productivity (output per hour of all persons) are provided for major sectors. 47 MONTHLY LABOR REVIEW December 1986 • Current Labor Statistics Alternative measures of wage and compensation rates of change, which reflect the overall trend in labor costs, are summarized in table 3. Differences in concepts and scope, related to the specific purposes of the series, contribute to the variation in changes among the individual mea sures. Notes on the data Definitions o f each series and notes on the data are contained in later sections of these notes describing each set of data. For detailed descriptions of each data series, see b l s Handbook of Methods, Volumes I and II, Bulletins 2134-1 and 2 1 34-2 (Bureau of Labor Statistics, 1982 and 1984, respectively), as well as the additional bulletins, articles, and other publi cations noted in the separate sections of the Review's “Current Labor Statistics Notes.” Historical data for many series are provided in the Hand book o f Labor Statistics, Bulletin 2217 (Bureau of Labor Statistics, 1985). Users may also wish to consult Major Programs, Bureau of Labor Statis tics, Report 718 (Bureau of Labor Statistics, 1985). EMPLOYMENT DATA (Tables 1; 4-21) Household survey data the various data series appear in the Explanatory Notes of Employment and Earnings. Description of the series Data in tables 4 -1 0 are seasonally adjusted, based on the seasonal experience through December 1985. employment data in this section are obtained from the Current Population Survey, a program of personal interviews conducted monthly by the Bureau o f the Census for the Bureau of Labor Statistics. The sample consists of about 59,500 households selected to represent the U .S. population 16 years o f age and older. Households are interviewed on a rotating basis, so that three-fourths o f the sample is the same for any 2 consecutive months. Definitions Employed persons include (1) all civilians who worked for pay any time during the week which includes the 12th day of the month or who worked unpaid for 15 hours or more in a family-operated enterprise and (2) those who were temporarily absent from their regular jobs because of illness, vacation, industrial dispute, or similar reasons. Members of the Armed Forces stationed in the United States are also included in the employed total. A person working at more than one job is counted only in the job at which he or she worked the greatest number of hours. Unemployed persons are those who did not work during the survey week, but were available for work except for temporary illness and had looked for jobs within the preceding 4 weeks. Persons who did not look for work because they were on layoff or waiting to start new jobs within the next 30 days are also counted among the unemployed. The overall unem ployment rate represents the number unemployed as a percent of the labor force, including the resident Armed Forces. The civilian unemployment rate represents the number unemployed as a percent of the civilian labor force. The labor force consists of all employed or unemployed civilians plus members o f the Armed Forces stationed in the United States. Persons not in the labor force are those not classified as employed or unemployed; this group includes persons who are retired, those a.ngaged in their own house work, those not working while attending school, those unable to work because o f long-term illness, those discouraged from seeking work because o f personal or job market factors, and those who are voluntarily idle. The noninstitutional population comprises all persons 16 years of age and older who are not inmates of penal or mental institutions, sanitariums, or homes for the aged, infirm, or needy, and members of the Armed Forces stationed in the United States. The labor force participation rate is the proportion o f the noninstitutional population that is in the labor force. The employment-population ratio is total employment (including the resident Armed Forces) as a percent of the noninstitutional population. Notes on the data From time to time, and especially after a decennial census, adjustments are made in the Current Population Survey figures to correct for estimating errors during the preceding years. These adjustments affect the comparabil ity o f historical data. A description of these adjustments and their effect on Digitized for 48 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Additional sources of information For detailed explanations of the data, see b l s Handbook of Methods, Bulletin 2134-1 (Bureau of Labor Statistics, 1982), chapter 1, and for additional data, Handbook of Labor Statistics, Bulletin 2217 (Bureau of Labor Statistics, 1985). A detailed description of the Current Population Survey as well as additional data are available in the monthly Bureau of Labor Statistics periodical, Employment and Earnings. Historical data from 1948 to 1981 are available in Labor Force Statistics Derived from the Current Population Survey: A Databook, Vols. I and II, Bulletin 2096 (Bureau of Labor Statistics, 1982). A comprehensive discussion of the differences between household and establishment data on employment appears in Gloria P. Green, “Comparing employment estimates from household and payroll surveys,” Monthly Labor Review, December 1969, pp. 9 -2 0 . Establishment survey data Description of the series E mployment, hours, and earnings data in this section are compiled from payroll records reported monthly on a voluntary basis to the Bureau of Labor Statistics and its cooperating State agencies by more than 250,000 establishments representing all industries except agriculture. In most indus tries, the sampling probabilities are based on the size of the establishment; most large establishments are therefore in the sample. (An establishment is not necessarily a firm; it may be a branch plant, for example, or ware house.) Self-employed persons and others not on a regular civilian payroll are outside the scope of the survey because they are excluded from estab lishment records. This largely accounts for the difference in employment figures between the household and establishment surveys. Definitions An establishment is an economic unit which produces goods or services (such as a factory or store) at a single location and is engaged in one type o f economic activity. Employed persons are all persons who received pay (including holiday and sick pay) for any part of the payroll period including the 12th o f the month. Persons holding more than one job (about 5 percent of all persons in the labor force) are counted in each establishment which reports them. Production workers in manufacturing include working supervisors and all nonsupervisory workers closely associated with production operations. Those workers mentioned in tables 12-17 include production workers in manufacturing and mining; construction workers in construction; and non supervisory workers in the following industries: transportation and public utilities; wholesale and retail trade; finance, insurance, and real estate; and services. These groups account for about four-fifths of the total employ ment on private nonagricutural payrolls. Earnings are the payments production or nonsupervisory workers re ceive during the survey period, including premium pay for overtime or late-shift work but excluding irregular bonuses and other special payments. Real earnings are earnings adjusted to reflect the effects of changes in consumer prices. The deflator for this series is derived from the Consumer Price Index for Urban Wage Earners and Clerical Workers (cpi- w). The Hourly Earnings Index is calculated from average hourly earnings data adjusted to exclude the effects of two types of changes that are unrelated to underlying wage-rate developments: fluctuations in overtime premiums in manufacturing (the only sector for which overtime data are available) and the effects o f changes and seasonal factors in the proportion of workers in high-wage and low-wage industries. Hours represent the average weekly hours of production or nonsupervi sory workers for which pay was received and are different from standard or scheduled hours. Overtime hours represent the portion of gross average weekly hours which were in excess of regular hours and for which overtime premiums were paid. The Diffusion Index, introduced in the May 1983 Review , represents the percent o f 185 nonagricultural industries in which employment was rising over the indicated period. One-half of the industries with unchanged employment are counted as rising. In line with Bureau practice, data for the 1-, 3-, and 6-month spans are seasonally adjusted, while those for the 12-month span are unadjusted. The diffusion index is useful for measur ing the dispersion o f economic gains or losses and is also an economic indicator. Notes on the data Establishment data collected by the Bureau of Labor Statistics are peri od ically adjusted to com prehensive counts o f em ploym ent (called “benchmarks”). The latest complete adjustment was made with the release o f May 1986 data, published in the July 1986 issue of the Review. Conse quently, data published in the Review prior to that issue are not necessarily comparable to current data. Unadjusted data have been revised back to April 1984; seasonally adjusted data have been revised back to January 1981. These revisions were published in the Supplement to Employment and Earnings (Bureau of Labor Statistics, 1986). Unadjusted data from April 1985 forward, and seasonally adjusted data from January 1982 for ward are subject to revision in future benchmarks. In the establishment survey, estimates for the 2 most recent months are based on incomplete returns and are published as preliminary in the tables (13 to 16 in the Review). When all returns have been received, the esti mates are revised and published as final in the third month of their appear ance. Thus, August data are published as preliminary in October and November and as final in December. For the same reason, quarterly estab lishment data (table 1) are preliminary for the first 2 months of publication and final in the third month. Thus, second-quarter data are published as preliminary in August and September and as final in October. Additional sources of information Detailed data from the establishment survey are published monthly in the BLS periodical, Employment and Earnings. Earlier comparable unadjusted and seasonally adjusted data are published in Employment, Hours, and Earnings, United States, 1909-84, Bulletin 1312-12 (Bureau o f Labor Statistics, 1985) and its annual supplement. For a detailed discussion o f the methodology of the survey, see b l s Handbook of Methods, Bulletin 2134-1 (Bureau of Labor Statistics, 1982), chapter 2. For additional data, see Handbook of Labor Statistics, Bulletin 2217 (Bureau of Labor Statistics, 1985). A comprehensive discussion of the differences between household and establishment data on employment appears in Gloria P. Green, “Comparing employment estimates from household and payroll surveys,” Monthly Labor Review, December 1969, pp. 9 -2 0 . Unemployment data by State Description of the series Data presented in this section are obtained from two major sources— the Current Population Survey (cps) and the Local Area Unemployment Statis tics (laus) program, which is conducted in cooperation with State employ ment security agencies. Monthly estimates of the labor force, employment, and unemployment for States and sub-State areas are a key indicator of local economic condi tions and form the basis for determining the eligibility of an area for benefits under Federal economic assistance programs such as the Job Train ing Partnership Act and the Public Works and Economic Development Act. Insofar as possible, the concepts and definitions underlying these data are those used in the national estimates obtained from the cps . Notes on the data Data refer to State of residence. Monthly data for 11 States— California, Florida, Illinois, Massachusetts, Michigan, New York, New Jersey, North Carolina, Ohio, Pennsylvania, and Texas— are obtained directly from the cps , because the size of the sample is large enough to meet bls standards of reliability. Data for the remaining 39 States and the District of Columbia are derived using standardized procedures established by bls. Once a year, estimates for the 11 States are revised to new population controls. For the remaining States and the District of Columbia, data are benchmarked to annual average cps levels. Additional sources of information Information on the concepts, definitions, and technical procedures used to develop labor force data for States and sub-State areas as well as addi tional data on sub-States are provided in the monthly Bureau o f Labor Statistics periodical, Employment and Earnings, and the annual report, Geographic Profile o f Employment and Unemployment (Bureau of Labor Statistics). See a l s o b l s Handbook o f Methods, Bulletin 2134-1 (Bureau of Labor Statistics, 1982), chapter 4. COMPENSATION AND WAGE DATA (Tables 1 ■3; 22-29) C ompensation and wage data are gathered by the Bureau from business establishments, State and local governments, labor unions, collective bar gaining agreements on file with the Bureau, and secondary sources. Employment Cost Index Description of the series The Employment Cost Index (eci) is a quarterly measure of the rate of change in compensation per hour worked and includes wages, salaries, and employer costs of employee benefits. It uses a fixed market basket of https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis labor— similar in concept to the Consumer Price Index’s fixed market basket of goods and services— to measure change over time in employer costs of employing labor. The index is not seasonally adjusted. Statistical series on total compensation costs and on wages and salaries are available for private nonfarm workers excluding proprietors, the selfemployed, and household workers. Both series are also available for State and local government workers and for the civilian nonfarm economy, which consists of private industry and State and local government workers combined. Federal workers are excluded. The Employment Cost Index probability sample consists of about 2,200 private nonfarm establishments providing about 12,000 occupational ob servations and 700 State and local government establishments providing 49 MONTHLY LABOR REVIEW December 1986 • Current Labor Statistics 3,500 occupational observations selected to represent total employment in each sector. On average, each reporting unit provides wage and compensa tion information on five well-specified occupations. Data are collected each quarter for the pay period including the 12th day of March, June, Septem ber, and December. Beginning with June 1986 data, fixed employment weights from the 1980 Census o f Population are used each quarter to calculate the indexes for civilian, private, and State and local governments. (Prior to June 1986, the employment weights are from the 1970 Census of Population.) These fixed weights, also used to derive all of the industry and occupation series indexes, ensure that changes in these indexes reflect only changes in com pensation, not employment shifts among industries or occupations with different levels o f wages and compensation. For the bargaining status, region, and metropolitan/nonmetropolitan area series, however, employ ment data by industry and occupation are not available from the census. Instead, the 1980 employment weights are reallocated within these series each quarter based on the current sample. Therefore, these indexes are not strictly comparable to those for the aggregate, industry, and occupation series. Definitions Total compensation costs include wages, salaries, and the employer’s costs for employee benefits. Wages and salaries consist of earnings before payroll deductions, in cluding production bonuses, incentive earnings, commissions, and cost-ofliving adjustments. Benefits include the cost to employers for paid leave, supplemental pay (including nonproduction bonuses), insurance, retirement and savings plans, and legally required benefits (such as Social Security, workers’ compensation, and unemployment insurance). Excluded from wages and salaries and employee benefits are such items as payment-in-kind, free room and board, and tips. Notes on the data The Employment Cost Index data series began in the fourth quarter of 1975, with the quarterly percent change in wages and salaries in the private nonfarm sector. Data on employer costs for employee benefits were in cluded in 1980 to produce, when combined with the wages and salaries series, a measure o f the percent change in employer costs for employee total compensation. State and local government units were added to the e c i coverage in 1981, providing a measure of total compensation change in the civilian nonfarm economy (excluding Federal employees). Historical in dexes (June 1981 = 100) o f the quarterly rates o f change are presented in the May issue o f the bls monthly periodical, Current Wage Developments. Additional sources of information For a more detailed discussion of the Employment Cost Index, see the Handbook of Methods, Bulletin 2134-1 (Bureau of Labor Statistics, 1982), chapter 11, and the fo llo w in g M onthly L abor R eview articles: “Employment Cost Index: a measure of change in the ‘price of labor’,” July 1975; “How benefits will be incorporated into the Employment Cost In dex,” January 1978; “Estimation procedures for the Employment Cost Index,” May 1982; and “Introducing new weights for the Employment Cost Index,” June 1985. Data on the e c i are also available in bls quarterly press releases issued in the month following the reference months of March, June, September, and December; and from the Handbook of Labor Statistics, Bulletin 2217 (Bureau o f Labor Statistics, 1985). Collective bargaining settlements (wage and benefit costs) and wages alone, quarterly for private industry and semiannually for State and local government. Compensation measures cover all collective bargaining situations involving 5,000 workers or more and wage measures cover all situations involving 1,000 workers or more. These data, covering private nonagricultural industries and State and local governments, are calculated using information obtained from bargaining agreements on file with the Bureau, parties to the agreements, and second ary sources, such as newspaper accounts. The data are not seasonally adjusted. Settlement data are measured in terms of future specified adjustments: those that will occur within 12 months after contract ratification— firstyear— and all adjustments that will occur over the life of the contract expressed as an average annual rate. Adjustments are worker weighted. Both first-year and over-the-life measures exclude wage changes that may occur under cost-of-living clauses that are triggered by future movements in the Consumer Price Index.. Effective wage adjustments measure all adjustments occurring in the reference period, regardless of the settlement date. Included are changes from settlements reached during the period, changes deferred from con tracts negotiated in earlier periods, and changes under cost-of-living adjust ment clauses. Each wage change is worker weighted. The changes are prorated over all workers under agreements during the reference period yielding the average adjustment. Definitions Wage rate changes are calculated by dividing newly negotiated wages by the average hourly earnings, excluding overtime, at the time the agree ment is reached. Compensation changes are calculated by dividing the change in the value of the newly negotiated wage and benefit package by existing average hourly compensation, which includes the cost o f previ ously negotiated benefits, legally required social insurance programs, and average hourly earnings. Compensation changes are calculated by placing a value on the benefit portion of the settlements at the time they are reached. The cost estimates are based on the assumption that conditions existing at the time o f settle ment (for example, methods o f financing pensions or composition o f labor force) will remain constant. The data, therefore, are measures of negotiated changes and not of total changes in employer cost. Contract duration runs from the effective date of the agreement to the expiration date or first wage reopening date, if applicable. Average annual percent changes over the contract term take account of the compounding of successive changes. Notes on the data Care should be exercised in comparing the size and nature of the settle ments in State and local government with those in the private sector because of differences in bargaining practices and settlement characteristics. A principal difference is the incidence of cost-of-living adjustment (cola) clauses which cover only about 2 percent of workers under a few local government settlements, but cover 50 percent of workers under private sector settlements. Agreements without cola’s tend to provide larger speci fied wage increases than those with cola’s . Another difference is that State and local government bargaining frequently excludes pension benefits which are often prescribed by law. In the private sector, in contrast, pensions are typically a bargaining issue. Additional sources of information Description of the series For a more detailed discussion on the series, see the b l s Handbook of Methods, Bulletin 2134-1 (Bureau of Labor Statistics, 1982), chapter 10. Collective bargaining settlements data provide statistical measures of negotiated adjustments (increases, decreases, and freezes) in compensation Comprehensive data are published in press releases issued quarterly (in January, April, July, and October) for private industry, and semi- Digitized for 50 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis annually (in February and August) for State and local government. Histor ical data and additional detailed tabulations for the prior calendar year appear in the April issue o f the bls monthly periodical, Current Wage monthly periodical, Current Wage Developments . Historical data appear in the b l s Handbook of Labor Statistics. Developments. Other compensation data Work stoppages Description of the series Data on work stoppages measure the number and duration of major strikes or lockouts (involving 1,000 workers or more) occurring during the month (or year), the number of workers involved, and the amount of time lost because o f stoppage. Data are largely from newspaper accounts and cover only establishments directly involved in a stoppage. They do not measure the indirect or second ary effect o f stoppages on other establishments whose employees are idle owing to material shortages or lack of service. Definitions Number of stoppages: The number of strikes and lockouts involving 1,000 workers or more and lasting a full shift or longer. Workers involved: The number of workers directly involved in the stoppage. Number of days idle: The aggregate number of workdays lost by workers involved in the stoppages. Days of idleness as a percent of estimated working time: Aggregate workdays lost as a percent of the aggregate number of standard workdays in the period multiplied by total employment in the period. Notes on the data This series is not comparable with the one terminated in 1981 that covered strikes involving six workers or more. Additional sources of information Data for each calendar year are reported in a BLS press release issued in the first quarter o f the following year. Monthly data appear in the bls Other bls data on pay and benefits, not included in the Current Labor Statistics section of the Monthly Labor Review, appear in and consist of the following: Industry Wage Surveys provide data for specific occupations selected to represent an industry’s wage structure and the types of activities performed by its workers. The Bureau collects information on weekly work schedules, shift operations and pay differentials, paid holiday and vacation practices, and information on incidence of health, insurance, and retirement plans. Reports are issued throughout the year as the surveys are completed. Summaries of the data and special analyses also appear in the Monthly Labor Review. Area Wage Surveys annually provide data for selected office, clerical, professional, technical, maintenance, toolroom, powerplant, material movement, and custodial occupations common to a wide variety o f indus tries in the areas (labor markets) surveyed. Reports are issued throughout the year as the surveys are completed. Summaries of the data and special analyses also appear in the Review. The National Survey of Professional, Administrative, Technical, and Clerical Pay provides detailed information annually on salary levels and distributions for the type^of jobs mentioned in the survey’s title in private employment. Although the definitions of the jobs surveyed reflect the duties and responsibilities in private industry, they are designed to match specific pay grades of Federal white-collar employees under the General Schedule pay system. Accordingly, this survey provides the legally re quired information for comparing the pay of salaried employees in the Federal civil service with pay in private industry. (See Federal Pay Com parability Act of 1970, 5 u .s .c . 5305.) Data are published in a BLS news release issued in the summer and in a bulletin each fall; summaries and analytical articles also appear in the Review. Employee Benefits Survey provides nationwide information on the inci dence and characteristics of employee benefit plans in medium and large establishments in the United States, excluding Alaska and Hawaii. Data are published in an annual bls news release and bulletin, as well as in special articles appearing in the Review. PRICE DATA (Tables 2; 30-41) Price data are gathered by the Bureau of Labor Statistics from retail and primary markets in the United States. Price indexes are given in relation to a base period (1967 = 100, unless otherwise noted). Consumer Price Indexes Description of the series The Consumer Price Index (cpi) is a measure of the average change in the prices paid by urban consumers for a fixed market basket of goods and services. The cpi is calculated monthly for two population groups, one consisting only of urban households whose primary source of income is derived from the employment o f wage earners and clerical workers, and the other consisting o f all urban households. The wage earner index (cpi- w) is a continuation o f the historic index that was introduced well over a halfcentury ago for use in wage negotiations. As new uses were developed for the cpi in recent years, the need for a broader and more representative index became apparent. The all urban consumer index (cpi- u) introduced in 1978 is representative o f the 1972-73 buying habits of about 80 percent of the noninstitutional population of the United States at that time, compared with 40 percent represented in the cpi- w . In addition to wage earners and clerical https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis workers, the cpi-U covers professional, managerial, and technical workers, the self-employed, short-term workers, the unemployed, retirees, and oth ers not in the labor force. The cpi is based on prices of food, clothing, shelter, fuel, drugs, trans portation fares, doctors’ and dentists’ fees, and other goods and services that people buy for day-to-day living. The quantity and quality o f these items are kept essentially unchanged between major revisions so that only price changes will be measured. All taxes directly associated with the purchase and use of items are included in the index. Data collected from more than 24,000 retail establishments and 24,000 tenants in 85 urban areas across the country are used to develop the “U .S. city average.” Separate estimates for 28 major urban centers are presented in table 31. The areas listed are as indicated in footnote 1 to the table. The area indexes measure only the average change in prices for each area since the base period, and do not indicate differences in the level of prices among cities. Notes on the data In January 1983, the Bureau changed the way in which homeownership costs are measured for the cpi-U. A rental equivalence method replaced the 51 MONTHLY LABOR REVIEW December 1986 • Current Labor Statistics asset-price approach to homeownership costs for that series. In January 1985, the same change was made in the cpi- w . The central purpose of the change was to separate shelter costs from the investment component of homeownership so that the index would reflect only the cost of shelter services provided by owner-occupied homes. Additional sources of information For a discussion o f the general method for computing the cpi, see b l s Handbook of Methods, Volume II, The Consumer Price Index , Bulletin 2 1 3 4 -2 (Bureau o f Labor Statistics, 1984). The recent change in the mea surement o f homeownership costs is discussed in Robert Gillingham and Walter Lane, “Changing the treatment o f shelter costs for homeowners in the CPI,” Monthly Labor Review, June 1982, pp. 9 -1 4 . Additional detailed cpi data and regular analyses of consumer price changes are provided in the c p i Detailed Report, a monthly publication of the Bureau. Historical data for the overall cpi and for selected groupings may be found in the Handbook of Labor Statistics, Bulletin 2217 (Bureau o f Labor Statistics, 1985). the exclusion of imports from, and the inclusion of exports in, the survey universe; and the respecification of commodities priced to conform to Bureau of the Census definitions. These and other changes have been phased in gradually since 1978. The result is a system of indexes that is easier to use in conjunction with data on wages, productivity, and employ ment and other series that are organized in terms of the Standard Industrial Classification and the Census product class designations. Additional sources of information For a discussion of the methodology for computing Producer Price In dexes, see b l s Handbook of Methods , Bulletin 2134-1 (Bureau of Labor Statistics, 1982), chapter 7. Additional detailed data and analyses of price changes are provided monthly in Producer Price Indexes. Selected historical data may be found in the Handbook of Labor Statistics, Bulletin 2217 (Bureau of Labor Statistics, 1985). International price indexes Producer Price Indexes Description of the series Producer Price Indexes (ppi) measure average changes in prices re ceived in primary markets of the United States by producers of commodi ties in all stages o f processing. The sample used for calculating these indexes currently contains about 3,200 commodities and about 60,000 quotations per month selected to represent the movement of prices of all commodities produced in the manufacturing, agriculture, forestry, fishing, mining, gas and electricity, and public utilities sectors. The stage of proc essing structure o f Producer Price Indexes organizes products by class of buyer and degree o f fabrication (that is, finished goods, intermediate goods, and crude materials). The traditional commodity structure of ppi organizes products by similarity of end use or material composition. To the extent possible, prices used in calculating Producer Price Indexes apply to the first significant commercial transaction in the United States from the production or central marketing point. Price data are generally collected monthly, primarily by mail questionnaire. Most prices are ob tained directly from producing companies on a voluntary and confidential basis. Prices generally are reported for the Tuesday of the week containing the 13th day o f the month. Since January 1976, price changes for the various commodities have been averaged together with implicit quantity weights representing their importance in the total net selling value o f all commodities as of 1972. The detailed data are aggregated to obtain indexes for stage-of-processing groupings, commodity groupings, durability-of-product groupings, and a number o f special composite groups. All Producer Price Index data are subject to revision 4 months after original publication. Notes on the data Beginning with the January 1986 issue, the Review is no longer present ing tables o f Producer Price Indexes for commodity groupings, special composite groups, or sic industries. However, these data will continue to be presented in the Bureau’s monthly publication Producer Price Indexes. The Bureau has completed the first major stage of its comprehensive overhaul o f the theory, methods, and procedures used to construct the Producer Price Indexes. Changes include the replacement of judgment sampling with probability sampling techniques; expansion to systematic coverage o f the net output of virtually all industries in the mining and manufacturing sectors; a shift from a commodity to an industry orientation; 52 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Description of the series The bls International Price Program produces quarterly export and import price indexes for nonmilitary goods traded between the United States and the rest of the world. The export price index provides a measure of price change for all products sold by U .S. residents to foreign buyers. (“Residents” is defined as in the national income accounts: it includes corporations, businesses, and individuals but does not require the organiza tions to be U .S. owned nor the individuals to have U .S. citizenship.) The import price index provides a measure of price change for goods purchased from other countries by U .S. residents. With publication of an all-import index in February 1983 and an all-export index in February 1984, all U.S. merchandise imports and exports now are represented in these indexes. The reference period for the indexes is 1977 = 100, unless otherwise indicated. The product universe for both the import and export indexes includes raw materials, agricultural products, semifinished manufactures, and finished manufactures, including both capital and consumer goods. Price data for these items are collected quarterly by mail questionnaire. In nearly all cases, the data are collected directly from the exporter or importer, al though in a few cases, prices are obtained from other sources. To the extent possible, the data gathered refer to prices at the U .S. border for exports and at either the foreign border or the U .S. border for imports. For nearly all products, the prices refer to transactions completed during the first 2 weeks of the third month of each calendar quarter— March, June, September, and December. Survey respondents are asked to indicate all discounts, allowances, and rebates applicable to the reported prices, so that the price used in the calculation of the indexes is the actual price for which the product was bought or sold. In addition to general indexes of prices for U .S. exports and imports, indexes are also published for detailed product categories o f exports and imports. These categories are defined by the 4- and 5-digit level of detail of the Standard Industrial Trade Classification System (su e). The calcula tion of indexes by sitc category facilitates the comparison of U .S. price trends and sector production with similar data for other countries. Detailed indexes are also computed and published on a Standard Industrial Classifi cation (sic-based) basis, as well as by end-use class. Notes on the data The export and import price indexes are weighted indexes o f the Laspeyres type. Price relatives are assigned equal importance within each weight category and are then aggregated to the sitc level. The values assigned to each weight category are based on trade value figures compiled by the Bureau o f the Census. The trade weights currently used to compute both indexes relate to 1980. Because a price index depends on the same items being priced from period to period, it is necessary to recognize when a product’s specifica tions or terms o f transaction have been modified. For this reason, the Bureau’s quarterly questionnaire requests detailed descriptions of the phys ical and functional characteristics o f the products being priced, as well as information on the number o f units bought or sold, discounts, credit terms, packaging, class o f buyer or seller, and so forth. When there are changes in either the specifications or terms of transaction of a product, the dollar value o f each change is deleted from the total price change to obtain the “pure” change. Once this value is determined, a linking procedure is employed which allows for the continued repricing of the item. For the export price indexes, the preferred pricing basis is f.a.s. (free alongside ship) U .S. port of exportation. When firms report export prices f.o.b. (free on board), production point information is collected which enables the Bureau to calculate a shipment cost to the port of exportation. An attempt is made to collect two prices for imports. The first is the import price f.o.b. at the foreign port of exportation, which is consistent with the basis for valuation of imports in the national accounts. The second is the import price c.i.f. (cost, insurance, and freight) at the U .S. port o f impor tation, which also includes the other costs associated with bringing the product to the U.S. border. It does not, however, include duty charges. Additional sources of information For a discussion of the general method of computing International Price Indexes, see b l s Handbook of Methods , Bulletin 2134-1 (Bureau o f Labor Statistics, 1982), chapter 8. Additional detailed data and analyses of international price develop ments are presented in the Bureau’s quarterly publication U.S. Import and Export Price Indexes and in occasional Monthly Labor Review articles prepared by bls analysts. Selected historical data may be found in the Handbook of Labor Statistics , Bulletin 2217 (Bureau of Labor Statistics, 1985). PRODUCTIVITY DATA (Tables 2; 42-47) U. S. productivity and related data Description of the series The productivity measures relate real physical output to real input. As such, they encompass a family of measures which include single factor input measures, such as output per unit of labor input (output per hour) or output per unit o f capital input, as well as measures of multifactor produc tivity (output per unit of labor and capital inputs combined). The Bureau indexes show the change in output relative to changes in the various inputs. The measures cover the business, nonfarm business, manufacturing, and nonfinancial corporate sectors. Corresponding indexes of hourly compensation, unit labor costs, unit nonlabor payments, and prices are also provided. Unit profits include corporate profits and the value of inventory adjust ments per unit of output. Hours of all persons are the total hours paid of payroll workers, selfemployed persons, and unpaid family workers. Capital services is the flow of services from the capital stock used in production. It is developed from measures of the net stock o f physical assets— equipment, structures, land, and inventories— weighted by rental prices for each type of asset. Labor and capital inputs combined are derived by combining changes in labor and capital inputs with weights which represent each component’s share of total output. The indexes for capital services and combined units of labor and capital are based on changing weights which are averages of the shares in the current and preceding year (the Tomquist index-number formula). Notes on the data Definitions Output per hour of all persons (labor productivity) is the value of goods and services in constant prices produced per hour o f labor input. Output per unit of capital services (capital productivity) is the value of goods and services in constant dollars produced per unit of capital services input. Multifactor productivity is the ratio output per unit of labor and capital inputs combined. Changes in this measure reflect changes in a number of factors which affect the production process such as changes in technology, shifts in the composition of the labor force, changes in capacity utilization, research and development, skill and efforts of the work force, manage ment, and so forth. Changes in the output per hour measures reflect the impact o f these factors as well as the substitution of capital for labor. Compensation per hour is the wages and salaries of employees plus employers’ contributions for social insurance and private benefit plans, and the wages, salaries, and supplementary payments for the self-employed (except for nonfinancial corporations in which there are no selfemployed)— the sum divided by hours paid for. Real compensation per hour is compensation per hour deflated by the change in the Consumer Price Index for All Urban Consumers. Unit labor costs are the labor compensation costs expended in the production o f a unit o f output and are derived by dividing compensation by output. Unit nonlabor payments include profits, depreciation, interest, and indirect taxes per unit of output. They are computed by subtracting compensation o f all persons from current dollar value of output and divid ing by output. Unit nonlabor costs contain all the components o f unit nonlabor payments except unit profits. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Output measures for the business sector and the nonfarm businesss sector exclude the constant dollar value of owner-occupied housing, rest o f world, households and institutions, and general government output from the con stant dollar value of gross national product. The measures are derived from data supplied by the Bureau of Economic Analysis, U .S. Department o f Commerce, and the Federal Reserve Board. Quarterly manufacturing out put indexes are adjusted by the Bureau o f Labor Statistics to annual esti mates of output (gross product originating) from the Bureau of Economic Analysis. Compensation and hours data are developed from data o f the Bureau of Labor Statistics and the Bureau of Economic Analysis. The productivity and associated cost measures in tables 4 2 -4 4 describe the relationship between output in real terms and the labor time and capital services involved in its production. They show the changes from period to period in the amount of goods and services produced per unit o f input. Although these measures relate output to hours and capital services, they do not measure the contributions of labor, capital, or any other specific factor of production. Rather, they reflect the joint effect of many influ ences, including changes in technology; capital investment; level o f output; utilization of capacity, energy, and materials; the organization o f produc tion; managerial skill; and the characteristics and efforts of the work force. Additional sources of information Descriptions of methodology underlying the measurement of output per hour and multifactor productivity are found in the b l s Handbook of Meth ods , Bulletin 2134-1 (Bureau of Labor Statistics, 1982), chapter 13. His torical data for selected industries are provided in the Bureau’s Handbook of Labor Statistics , 1985, Bulletin 2217. 53 MONTHLY LABOR December 1986 • Current Labor Statistics INTERNATIONAL COMPARISONS (Tables 4 5 -4 7 ) Labor force and unemployment Description of the series Tables 45 and 46 present comparative measures of the labor force, employment, and unemployment— approximating U .S. concepts— for the United States, Canada, Australia, Japan, and six European countries. The unemployment statistics (and, to a lesser extent, employment statistics) published by other industrial countries are not, in most cases, comparable to U .S. unemployment statistics. Therefore, the Bureau adjusts the figures for selected countries, where necessary, for all known major definitional differences. Although precise comparability may not be achieved, these adjusted figures provide a better basis for international comparisons than the figures regularly published by each country. Definitions For the principal U.S. definitions of the labor force, employment, and unemployment, see the Notes section on EMPLOYMENT DATA: House hold Survey Data. Notes on the data The adjusted statistics have been adapted to the age at which compulsory schooling ends in each country, rather than to the U .S. standard of 16 years o f age and over. Therefore, the adjusted statistics relate to the population age 16 and over in France, Sweden, and from 1973 onward, Great Britain; 15 and over in Canada, Australia, Japan, Germany, the Netherlands, and prior to 1973, Great Britain; and 14 and over in Italy. The institutional population is included in the denominator o f the labor force participation rates and employment-population ratios for Japan and Germany; it is ex cluded for the United States and the other countries. In the U .S. labor force survey, persons on layoff who are awaiting recall to their job are classified as unemployed. European and Japanese layoff practices are quite different in nature from those in the United States; therefore, strict application of the U .S. definition has not been made on this point. For further information, see Monthly Labor Review, December 1981, pp. 8 -1 1 . The figures for one or more recent years for France, Germany, Great Britain, Italy, and the Netherlands are calculated using adjustment factors based on labor force surveys for earlier years and are considered prelimi nary. The recent-year measures for these countries are, therefore, subject to revision whenever data from more current labor force surveys become available. Additional sources of information For further information, see International Comparisons of Unemploy ment, Bulletin 1979 (Bureau of Labor Statistics, 1978), Appendix B and unpublished Supplements to Appendix B, available on request. The statis tics are also analyzed periodically in the Monthly Labor Review . Additional historical data, generally beginning with 1959, are published in the Hand book of Labor Statistics and are available in unpublished statistical supple ments to Bulletin 1979. Manufacturing productivity and labor costs Description of the series Table 47 presents comparative measures of manufacturing labor produc tivity, hourly compensation costs, and unit labor costs for the United Digitized for54 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis States, Canada, Japan, and nine European countries. These measures are limited to trend comparisons— that is, intercountry series of changes over time— rather than level comparisons because reliable international com parisons of the levels of manufacturing output are unavailable. Definitions Output is constant value output (value added), generally taken from the national accounts o f each country. While the national accounting methods for measuring real output differ considerably among the 12 countries, the use of different procedures does not, in itself, connote lack of comparabil ity— rather, it reflects differences among countries in the availability and reliability o f underlying data series. Hours refer to all employed persons including the self-employed in the United States and Canada; to all wage and salary employees in the other countries. The U .S. hours measure is hours paid; the hours measures for the other countries are hours worked. Compensation (labor cost) includes all payments in cash or kind made directly to employees plus employer expenditures for legally required in surance programs and contractual and private benefit plans. In addition, for some countries, compensation is adjusted for other significant taxes on payrolls or employment (or reduced to reflect subsidies), even if they are not for the direct benefit of workers, because such taxes are regarded as labor costs. However, compensation does not include all items of labor cost. The costs of recruitment, employee training, and plant facilities and services— such as cafeterias and medical clinics— are not covered because data are not available for most countries. Self-employed workers are in cluded in the U .S. and Canadian compensation figures by assuming that their hourly compensation is equal to the average for wage and salary employees. Notes on the data For most of the countries, the measures refer to total manufacturing as defined by the International Standard Industrial Classification. However, the measures for France (beginning 1959), Italy (beginning 1970), and the United Kingdom (beginning 1976), refer to manufacturing and mining less energy-related products and the figures for the Netherlands exclude petroleum refining from 1969 to 1976. For all countries, manufacturing includes the activities o f government enterprises. The figures for one or more recent years are generally based on current indicators o f manufacturing output, employment, hours, and hourly com pensation and are considered preliminary until the national accounts and other statistics used for the long-term measures become available. Additional sources of information For additional information, see the bls Handbook of Methods , Bulletin 2134-1 (Bureau o f Labor Statistics, 1982), chapter 16, and periodic Monthly Labor Review articles. Historical data are provided in the Bureau’s Hand book of Labor Statistics, Bulletin 2217, 1985. The statistics are issued twice per year— in a news release (generally in May) and in a Monthly Labor Review article (generally in December). OCCUPATIONAL INJURY AND ILLNESS DATA (Table 48) Description of the series The Annual Survey of Occupational Injuries and Illnesses is designed to collect data on injuries and illnesses based on records which employers in the following industries maintain under the Occupational Safety and Health Act o f 1970: agriculture, forestry, and fishing; oil and gas extraction; construction; manufacturing; transportation and public utilities; wholesale and retail trade; finance, insurance, and real estate; and services. Excluded from the survey are self-employed individuals, farmers with fewer than 11 employees, employers regulated by other Federal safety and health laws, and Federal, State, and local government agencies. Because the survey is a Federal-State cooperative program and the data must meet the needs of participating State agencies, an independent sam ple is selected for each State. The sample is selected to represent all pri vate industries in the States and territories. The sample size for the survey is dependent upon (1) the characteristics for which estimates are needed; (2) the industries for which estimates are desired; (3) the charac teristics o f the population being sampled; (4) the target reliability o f the estimates; and (5) the survey design employed. While there are many characteristics upon which the sample design could be based, the total recorded case incidence rate is used because it is one of the most important characteristics and the least variable; therefore, it re quires the smallest sample size. The survey is based on stratified random sampling with a Neyman allocation and a ratio estimator. The characteristics used to stratify the establishments are the Standard Industrial Classification (sic) code and size o f employment. Definitions Recordable occupational injuries and illnesses are: (1) occupational deaths, regardless o f the time between injury and death, or the length o f the illness; or (2) nonfatal occupational illnesses; or (3) nonfatal occupational injuries which involve one or more o f the following: loss of consciousness, restriction o f work or motion, transfer to another job, or medical treatment (other than first aid). Occupational injury is any injury such as a cut, fracture, sprain, ampu tation, and so forth, which results from a work accident or from exposure involving a single incident in the work environment. Occupational illness is an abnormal condition or disorder, other than one resulting from an occupational injury, caused by exposure to environ mental factors associated with employment. It includes acute and chronic illnesses or disease which may be caused by inhalation, absorption, inges tion, or direct contact. Lost workday cases are cases which involve days away from work, or days o f restricted work activity, or both. Lost workday cases involving restricted work activity are those cases which result in restricted work activity only. Lost workdays away from work are the number of workdays (consec utive or not) on which the employee would have worked but could not because o f occupational injury or illness. Lost workdays— restricted work activity are the number of workdays (consecutive or not) on which, because of injury or illness: (1) the em ployee was assigned to another job on a temporary basis ; or (2) the em- https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis ployee worked at a permanent job less than full time; or (3) the employee worked at a permanently assigned job but could not perform all duties normally connected with it. The number of days away from work or days of restricted work activity does not include the day of injury or onset of illness or any days on which the employee would not have worked even though able to work. Incidence rates represent the number o f injuries and/or illnesses or lost workdays per 100 full-time workers. Notes on the data Estimates are made for industries and employment-size classes and for severity classification: fatalities, lost workday cases, and nonfatal cases without lost workdays. Lost workday cases are separated into those where the employee would have worked but could not and those in which work activity was restricted. Estimates of the number of cases and the number of days lost are made for both categories. Most of the estimates are in the form of incidence rates, defined as the number of injuries and illnesses, or lost workdays, per 100 full-time em ployees. For this purpose, 200,000 employee hours represent 100 em ployee years (2,000 hours per employee). Only a few of the available measures are included in the Handbook of Labor Statistics. Full detail is presented in the annual bulletin, Occupational Injuries and Illnesses in the United States, by Industry. Comparable data for individual States are available from the bls Office of Occupational Safety and Health Statistics. Mining and railroad data are furnished to bls by the Mine Safety and Health Administration and the Federal Railroad Administration, respec tively. Data from these organizations are included in bls and State publica tions. Federal employee experience is compiled and published by the Occu pational Safety and Health Administration. Data on State and local government employees are collected by about half of the States and territo ries; these data are not compiled nationally. Additional sources of information The Supplementary Data System provides detailed information describ ing various factors associated with work-related injuries and illnesses. These data are obtained from information reported by employers to State workers’ compensation agencies. The Work Injury Report program exam ines selected types of accidents through an employee survey which focuses on the circumstances surrounding the injury. These data are not included in the Handbook of Labor Statistics but are available from the bls Office of Occupational Safety and Health Statistics. The definitions o f occupational injuries and illnesses and lost workdays are from Recordkeeping Requirements under the Occupational Safety and Health Act of 1970. For additional data, see Occupational Injuries and Illnesses in the United States, by Industry, annual Bureau o f Labor Statistics bulletin; bls Handbook of Methods, Bulletin 2134-1 (Bureau o f Labor Statistics, 1982), chapter 17; Handbook of Labor Statistics , Bulletin 2217 (Bureau of Labor Statistics, 1985), pp. 411-14; annual reports in the Monthly Labor Review, and annual U .S. Department o f Labor press releases. 55 MONTHLY LABOR REVIEW 1. December 1986 • Current Labor Statistics: Comparative Indicators Labor market indicators 1984 Selected indicators 1984 1986 1985 1985 IV I III II I IV III II E m p lo y m e n t d a ta Employment status of the civilian noninstitutionalized population (household survey)1 Labor Force participation rate....................................................... Employment-population ratio......................................................... Unemployment rate ....................................................................... M en.............................................................................................. 16 to 24 years .......................................................................... 25 years and over.................................................................... Women ........................................................................................ 16 to 24 years .......................................................................... 25 years and over.................................................................... Unemployment rate, 15 weeks and over.................................... 64.4 59.5 7.5 7.4 14.4 5.7 7.6 13.3 6.0 2.4 64.8 60.1 7.2 7.0 14.1 5.3 7.4 13.0 5.9 2.0 64.5 59.8 7.2 7.1 13.8 5.4 7.5 12.9 5.9 2.1 64.8 60.1 7.3 7.1 14.1 5.4 7.6 13.1 6.0 2.0 64.7 60.0 7.3 7.1 14.2 5.4 7.5 13.0 6.0 2.0 64.7 60.1 7.2 7.0 14.0 5.3 7.4 12.7 5.9 2.0 64.9 60.4 7.0 6.9 14.0 5.2 7.2 13.1 5.5 1.9 65.1 60.5 7.1 6.8 13.3 5.3 7.3 13.2 5.7 1.9 65.3 60.6 7.2 7.1 14.5 5.4 7.3 13.2 5.7 1.9 65.3 60.8 6.9 6.9 13.8 5.4 6.9 12.5 5.4 2.0 Total ................................................................................................. Private sector ................................................................................ Goods-producing............................................................................ Manufacturing.............................................................................. Service-producing .......................................................................... 94,496 78,472 24,727 19,378 69,769 97,614 81,199 24,930 19,314 72,684 94,064 78,096 24,690 19,381 69,374 96,581 80,341 24,970 19,439 71,611 97,295 80,958 24,947 19,323 72,347, 97,897 81,414 24,866 19,241 73,031 97,295 80,958 24,947 19,323 72,347 99,403 82,731 25,028 19,284 74,375 99,848 83,144 24,952 19,194 74,896 100,279 83,623 24,869 19,114 75,410 Average hours Private sector ................................................................................ Manufacturing ........................................................................... Overtime.................................................................................. 35.2 40.7 3.4 34.9 40.5 3.3 35.2 40.8 3.5 35.0 40.4 3.3 34.9 40.4 3.2 34.9 40.6 3.3 34.9 40.4 3.2 34.9 40.7 3.4 34.8 40.7 3.4 34.7 40.7 3.5 Percent change in the ECI, compensation: All workers (excluding farm, household, and Federal workers) ...... Private industry workers ............................................................... Goods-producing2 ..................................................................... Servicing-producing2 ................................................................. State and local government workers........................................... 5.2 4.9 4.6 5.1 6.6 4.3 3.9 3.4 4.4 5.7 1.2 1.3 1.1 1.4 1.0 1.3 1.2 1.5 1.0 1.2 .7 .8 .7 1.0 .2 1.6 1.3 .6 1.8 3.4 .6 .6 .6 .5 .7 1.1 1.1 1.1 1.1 1.0 .7 .8 .9 .6 .6 1.1 .7 .6 .8 2.8 Workers by bargaining status (private industry) Union............................................................................................. Nonunion ...................................................................................... 4.3 5.2 2.6 4.6 1.1 1.3 .7 1.6 .6 1.0 .8 1.4 .5 .6 1.0 1.2 .2 .9 .5 .8 Employment, nonagricultural (payroll data), in thousands:1 E m p lo y m e n t C o s t In d e x 1 Quarterly data seasonally adjusted. 2 Goods-producing industries include mining, construction, and manufacturing. Service- Digitized for56 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis producing Industries include all other private sector industries. 2. Annual and quarterly percent changes in compensation, prices, and productivity 1984 Selected measures 1984 1985 1986 1985 IV I II III IV I II III C o m p e n s a t i o n d a t a 1, 2 Employment Cost Index-compensation (wages, salaries, benefits) Civilian nonfarm ................................................................... Private nonfarm .................................................................. Employment Cost Index-wages and salaries Civilian nonfarm ................................................................... Private nonfarm .................................................................. 5.2 4.9 4.3 3.9 1.2 1.3 1.3 1.2 0.7 .8 1.6 1.3 0.6 .6 1.1 1.1 0.7 .8 1.1 .7 45 4.1 44 4.1 12 1.2 1.2 1.2 .9 1.1 17 1.3 .6 10 1.0 .9 .7 Consumer Price Index (All urban consumers): All items...... 4.0 3.8 .3 1.0 1.1 .7 .9 -.4 .6 .7 Producer Price Index Finished goods..................................................................... Finished consumer goods................................................... Capital equipment ............................................................... Intermediate materials, supplies, components .................... Crude materials.................................................................... 1.7 1.6 1.8 1.3 -1.6 1.8 1.5 2.7 -.3 -5.6 .9 .8 1.1 -.1 -1.2 .0 -.3 1.3 -.4 -3.1 .7 .7 .4 .2 -2.1 -1.4 -1.4 -1.4 -.5 -4.5 2.5 2.5 2.5 .4 4.3 -3.1 -4.1 .2 -2.9 -7.6 .5 .4 .6 -.9 -1.5 -.6 -.6 -.6 -.2 -.5 P r ic e d a t a 1 P r o d u c tiv ity d a ta 3 Output per hour of all persons: Business sector.................................................................. Nonfarm business sector.................................................... Nonfinancial corporations 4 ................................................. 2.3 1.8 2.0 1.0 .5 '1.2 -.1 -.4 1.1 1 Annual changes are December-to-December change. Quarterly changes] are calculated using the last month of each quarter. Compensation and price data are not seasonally adjusted and the price data are not compounded. 2 Excludes Federal and private household workers. 3 Annual rates of change are computed by comparing annual averages. 3. .9 .3 .8 2.7 1.8 2.2 3.4 2.2 4.9 -3.2 -3.5 -2.8 3.3 4.3 -.5 .5 .5 -.3 .2 .2 .3 Quarterly percent changes reflect annual rates of change in quarterly indexes. The data are seasonally adjusted. 4 Output per hour of all employees. Alternative measures of wage and compensation changes Quarterly average Components 1985 II Average hourly compensation:1 All persons, business sector.......................................... All employees, nonfarm business sector................................... Employment Cost Index-compensation: Civilian nonfarm 2 ....................................................................... Private nonfarm .................................................................................. Union .............................................. Nonunion........................................................................................... State and local governments................................... Employment Cost Index-wages and salaries: Civilian nonfarm2 ................................................... Private nonfarm ................................................. Union.......................................................... Nonunion................................................................ State and local governments............................................................... Total effective wage adjustments3 ............................................................... From current settlements.................................................................. From prior settlements ........................................................... From cost-of-living provision................................................................ Negotiated wage adjustments from settlements3 First-year adjustments ............................................................... Annual rate over life of contract........................................................... Negotiated wage and benefit adjustments from settlements:5 First-year adjustment........................................................................... Annual rate over life of contract........................................................... III IV I II 1985 III II III 1986 IV I II III 5.1 4.6 4.4 3.2 3.8 3.7 2.5 3.1 2.8 2.3 2.9 2.3 4.5 4.2 4.4 4.0 4.4 3.9 3.9 3.6 3.4 3.1 3.0 2.9 .7 .8 .6 1.0 .2 1.6 1.3 .8 1.4 3.4 .6 .6 .5 .6 .7 1.1 1.1 1.0 1.2 1.0 .7 .8 .2 .9 .6 1.1 .7 .5 .8 2.8 4.6 4.2 3.1 4.9 6.1 4.9 4.7 3.2 5.4 6.0 4.3 3.9 2.6 4.6 5.7 4.1 3.8 2.9 4.2 5.5 4.0 3.8 2.5 4.2 5.8 3.6 3.2 2.3 3.5 5.2 .9 1.1 1.1 1.1 .2 .8 .2 .5 .1 1.7 1.3 .9 1.5 3.5 1.2 .2 .5 .4 .6 .6 .5 .6 .8 .5 .1 .2 .1 1.0 1.0 .7 1.1 1.0 .6 (4) .4 .2 .8 .9 .4 .9 .4 .7 .2 .6 1.1 .7 .6 .7 3.2 .6 .1 .5 (4) 4.5 4.3 3.4 4.8 5.5 3.5 .9 1.9 .7 5.0 4.8 3.6 5.4 5.6 3.5 .9 1.8 .8 4.4 4.1 3.1 4.6 5.6 3.3 .7 1.8 .7 4.2 3.9 3.2 4.3 5.5 3.1 .6 1.7 .8 4.1 3.7 2.5 4.1 5.7 2.9 .5 1.8 .7 3.5 3.1 2.3 3.4 5.4 2.3 .5 1.6 .2 2.5 2.8 2.0 3.1 2.1 1.9 .9 1.5 1.3 2.0 1.6 2.0 2.4 2.4 2.4 2.5 2.3 2.7 2.0 2.5 1.6 2.2 1.5 1.9 3.5 3.4 2.0 3.0 2.0 1.4 .4 1.2 .7 1.6 1.9 1.9 3.4 2.7 3.1 2.7 2.6 2.7 2.3 2.6 1.4 2.0 1.4 1.6 Seasonally adjusted. 2 Excludes Federal and household workers. 3 Limited to major collective bargaining units of 1,000 workers or more. The most recent data are preliminary. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Four quarters ended1986 (4) 4 Data round to zero. 5 Limited to major collective bargaining units of 5,000 workers or more. The most recent data are preliminary. MONTHLY LABOR REVIEW 4. December 1986 • Current Labor Statistics: Employment Data Employment status of the total population, by sex, monthly data seasonally adjusted (Numbers in thousands) 1986 1985 Annual average Employment status Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. 1984 1985 178,080 115,241 64.7 106,702 179,912 117,167 65.1 108,856 180,470 117,814 65.3 109,513 180,642 117,832 65.2 109,671 180,810 117,927 65.2 109,904 181,361 118,477 65.3 110,646 181,512 118,779 65.4 110,252 181,678 118,900 65.4 110,481 181,843 118,929 65.4 110,587 181,998 119,351 65.6 110,797 182,183 119,796 65.8 111,353 182,354 119,744 65.7 111,554 182,525 119,879 65.7 111,852 182,713 119,936 65.6 111,607 182,935 120,231 65.7 111,989 59.9 1,697 105,005 3,321 101,685 8,539 7.4 62,839 60.5 1,706 107,150 3,179 103,971 8,312 7.1 62,744 60.7 1,700 107,813 3,058 104,755 8,301 7.0 62,656 60.7 1,702 107,969 3,070 104,899 8,161 6.9 62,810 60.8 1,698 108,206 3,151 105,055 8,023 6.8 62,883 61.0 1,691 108,955 3,299 105,655 7,831 6.6 62,885 60.7 1,691 108,561 3,096 105,465 8,527 7.2 62,733 60.8 1,693 108,788 3,285 105,503 8,419 7.1 62,778 60.8 1,695 108,892 3,222 105,670 8,342 7.0 62,914 60.9 1,687 109,110 3,160 105,950 8,554 7.2 62,647 61.1 1,680 109,673 3,165 106,508 8,443 7.0 62,387 61.2 1,672 109,882 3,112 106,769 8,190 6.8 62,610 61.3 1,697 110,155 3,048 107,107 8,027 6.7 62,646 61.1 1,716 109,891 3,121 106,770 8,329 6.9 62,777 61.2 1,749 110,240 3,149 107,091 8,242 6.9 62,704 85,156 65,386 76.8 60,642 86,025 65,967 ■ 76.7 61,447 86,293 66,227 76.7 61,656 86,374 66,176 76.6 61,731 86,459 66,139 76.5 61,793 86,882 66,679 76.7 62,458 86,954 66,838 76.9 62,243 87,035 66,864 76.8 62,288 87,120 66,757 76.6 62,254 87,195 66,943 76.8 62,190 87,288 66,964 76.7 62,322 87,373 66,936 76.6 62,365 87,460 66,944 76.5 62,515 87,556 67,094 76.6 62,483 87,682 67,132 76.6 62,553 71.2 1,551 59,091 4,744 7.3 71.4 1,556 59,891 4,521 6.9 71.4 1,551 60,105 4,571 6.9 71.5 1,552 60,179 4,445 6.7 71.5 1,549 60,244 4,346 6.6 71.9 1,539 60,919 4,221 6.3 71.6 1,539 60,704 4,595 6.9 71.6 1,540 60,748 4,577 6.8 71.5 1,541 60,713 4,503 6.7 71.3 1,533 60,657 4,754 7.1 71.4 1,525 60,797 4,642 6.9 71.4 1,518 60,847 4,571 6.8 71.5 1,541 60,974 4,429 6.6 71.4 1,560 60,923 4,611 6.9 71.3 1,590 60,963 4,578 6.8 92,924 49,855 53.7 46,061 93,886 51,200 54.5 47,409 94,177 51,587 54.8 47,857 94,266 51,655 54.8 47,939 94,351 51,788 54.9 48,111 94,479 51,797 54.8 48,187 94,558 51,941 54.9 48,009 94,643 52,036 55.0 48,194 94,723 52,172 55.1 48,333 94,803 52,408 55.3 48,608 94,895 52,832 55.7 49,031 94,981 52,808 55.6 49,189 95,065 52,935 55.7 49,337 95,156 52,842 55.5 49,125 95,253 53,099 55.7 49,436 49.6 146 45,915 3,794 7.6 50.5 150 47,259 3,791 7.4 50.8 149 47,708 3,730 7.2 50.9 149 47,790 3,716 7.2 51.0 149 47,962 3,677 7.1 51.0 152 48,035 3,610 7.0 50.8 152 47,857 3,932 7.6 50.9 153 48,041 3,842 7.4 51.0 154 48,179 3,839 7.4 51.3 154 48,454 3,800 7.3 51.7 155 48,876 3,801 7.2 51.8 154 49,035 3,619 6.9 51.9 156 49,181 3,598 6.8 51.6 156 48,969 3,717 7.0 51.9 159 49,277 3,663 6.9 TOTAL Noninstitutional population ', 2 ....... Labor force2 .................................. Participation rate 3 ................ Total employed 2 ....................... Employment-population ratio 4 ................................... Resident Armed Forces 1 ....... Civilian employed .................... Agriculture ............................ Nonagricultural industries..... Unemployed............................... Unemployment rate 5 ........... Not in labor force ........................ M e n , 16 y e a rs a n d o v e r Noninstitutional population 1, 2 ....... Labor force2 .................................. Participation rate 3 ................ Total employed 2 ....................... Employment-population ratio 4 ................................... Resident Armed Forces 1 ....... Civilian employed ................... Unemployed............................... Unemployment rate 5 ........... W o m e n , 16 y e a rs a n d o v e r Noninstitutional population 1, 2 ...... Labor force2 .................................. Participation rate 3 ................ Total employed2 ........................ Employment-population ratio 4 ................................... Resident Armed Forces 1 ....... Civilian employed .................... Unemployed............................... Unemployment rate 5 ........... ’ The population and Armed Forces figures are not adjusted for seasonal variation. 2 Includes members of the Armed Forces stationed in the United States. 3 Labor force as a percent of the noninstitutlonal population. Digitized for 58 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 4 Total employed as a percent of the noninstitutional population. 5 Unemployment as a percent of the labor force (including the resident Armed Forces). 5. Employment status of the civilian population, by sex, age, race and Hispanic origin, monthly data seasonally adjusted (Numbers in thousands) Annual average 1985 1986 Employment status 1984 1985 Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. 176,383 113,544 64.4 105,005 178,206 115,461 64.8 107,150 178,770 116,114 65.0 107,813 178,940 116,130 64.9 107,969 179,112 116,229 64.9 108,206 179,670 116,786 65.0 108,955 179,821 117,088 65.1 108,561 179,985 117,207 65.1 108,788 180,148 117,234 65.1 108,892 180,311 117,664 65.3 109,110 180,503 118,116 65.4 109,673 180,682 118,072 65.3 109,882 180,828 118,182 65.4 110,155 180,997 118,220 65.3 109,891 181,186 118,482 65.4 110,240 59.5 8,539 7.5 62,839 60.1 8,312 7.2 62,744 60.3 8,301 7.1 62,656 60.3 8,161 7.0 62,810 60.4 8,023 6.9 62,883 60.6 7,831 6.7 62,885 60.4 8,527 7.3 62,733 60.4 8,419 7.2 62,778 60.4 8,342 7.1 62,914 60.5 8,554 7.3 62,647 60.8 8,443 7.1 62,387 60.8 8,190 6.9 62,610 60.9 8,027 6.8 62,646 60.7 8,329 7.0 62,777 60.8 8,242 7.0 62,704 76,219 59,701 78.3 55,769 77,195 60,277 78.1 56,562 77,498 60,526 78.1 56,849 77,566 60,553 78.1 56,897 77,651 60,548 78.0 56,982 78,101 61,212 78.4 57,706 78,171 61,183 78.3 57,384 78,236 61,268 78.3 57,459 78,309 61,053 78.0 57,391 78,387 61,208 78.1 57,312 78,484 61,387 78.2 57,560 78,586 61,323 78.0 57,499 78,634 61,235 77.9 57,607 78,722 61,345 77.9 57,547 78,802 61,391 77.9 57,559 73.2 2,418 53,351 3,932 6.6 73.3 2,278 54,284 3,715 6.2 73.4 2,188 54,661 3,677 6.1 73.4 2,210 54,687 3,656 6.0 73.4 2,278 54,704 3,566 5.9 73.9 2,349 55,356 3,507 5.7 73.4 2,258 55,127 3,799 6.2 73.4 2,411 55,048 3,809 6.2 73.3 2,347 55,043 3,663 6.0 73.1 2,278 55,034 3,897 6.4 73.3 2,320 55,241 3,827 6.2 73.2 2,266 55,233 3,824 6.2 73.3 2,173 55,435 3,628 5.9 73.1 2,272 55,275 3,798 6.2 73.0 2,288 55,271 3,831 6.2 85,429 45,900 53.7 42,793 86,506 47,283 54.7 44,154 86,810 47,663 54.9 44,609 86,901 47,713 54.9 44.656 86,988 47,870 55.0 44,882 87,112 47,895 55.0 44,980 87,185 47,921 55.0 44,710 87,263 47,952 55.0 44,797 87,355 48,107 55.1 45,009 87,444 48,409 55.4 45,284 87,547 48,805 55.7 45,701 87,629 48,916 55.8 45,918 87,689 48,989 55.9 45,999 87,779 48,922 55.7 45,879 87,856 49,061 55.8 46,062 50.1 595 42,198 3,107 6.8 51.0 596 43,558 3,129 6.6 51.4 609 44,000 3,054 6.4 51.4 591 44,065 3,057 6.4 51.6 597 44,285 2,988 6.2 51.6 696 44,284 2,915 6.1 51.3 593 44,117 3,211 6.7 51.3 598 44,199 3,155 6.6 51.5 576 44,433 3,097 6.4 51.8 609 44,675 3,125 6.5 52.2 565 45,136 3,104 6.4 52.4 608 45,309 2,998 6.1 52.5 627 45,372 2,990 6.1 52.3 610 45,269 3,042 6.2 52.4 605 45,457 2,999 6.1 14,735 7,943 53.9 6,444 14,506 7,901 54.5 6,434 14,463 7,925 54.8 6,355 14,472 7,864 54.3 6,416 14,474 7,811 54.0 6,342 14,458 7,678 53.1 6,269 14,465 7,984 55.2 6,467 14,485 7,987 55.1 6,532 14,484 8,074 55.7 6,492 14,480 8,047 55.6 6,515 14,472 7,923 54.7 6,411 14,467 7,833 54.1 6,465 14,505 7,958 54.9 6,549 14,496 7,953 54.9 6,465 14,527 8,030 55.3 6,619 43.7 309 6,135 1,499 18.9 44.4 305 6,129 1,468 18.6 43.9 261 6,094 1,570 19.8 44.3 269 6,147 1,448 18.4 43.8 276 6,066 1,469 18.8 43.4 254 6,015 1,409 18.4 44.7 246 6,221 1,517 19.0 45.1 276 6,256 1,455 18.2 44.8 298 6,194 1,582 19.6 45.0 274 6,241 1,532 19.0 44.3 280 6,131 1,512 19.1 44.7 238 6,227 1,368 17.5 45.2 249 6,300 1,409 17.7 44.6 239 6,226 1,488 18.7 45.6 256 6,363 1,411 17.6 152,347 98,492 64.6 92,120 153,679 99,926 65.0 93,736 154,082 100,533 65.2 94,369 154,203 100,478 65.2 94,507 154,327 100,533 65.1 94,585 154,784 100,961 65.2 95,165 154,889 101,232 65.4 94,803 155,005 101,248 65.3 94,958 155,122 101,249 65.3 95,081 155,236 101,515 65.4 95,180 155,376 101,975 65.6 95,731 155,502 101,922 65.5 95,760 155,604 102,189 65.7 96,271 155,723 102,127 65.6 95,953 155,856 102,326 65.7 96,158 60.5 6,372 6.5 61.0 6,191 6.2 61.2 6,164 6.1 61.3 5,971 5.9 61.3 5,948 5.9 61.5 5,796 5.7 61.2 6,429 6.4 61.3 6,290 6.2 61.3 6,168 6.1 61.3 6,335 6.2 61.6 6,244 6.1 61.6 6,162 6.0 61.9 5,918 5.8 61.6 6,174 6.0 61.7 6,169 6.0 19,348 12,033 62.2 10,119 19,664 12,364 62.9 10,501 19,761 12,412 62.8 10,566 19,790 12,457 62.9 10,518 19,819 12,522 63.2 10,657 19,837 12,548 63.3 10,737 19,863 12,545 63.2 10,690 19,889 12,656 63.6 10,791 19,916 12,740 64.0 10,856 19,943 12,781 64.1 10,889 19,974 12,754 63.9 10,825 20,002 12,601 63.0 10,836 20,028 12,473 62.3 10,654 20,056 12,630 63.0 10,757 20,089 12,732 63.4 10,893 52.3 1,914 15.9 53.4 1,864 15.1 53.5 1,846 14.9 53.1 1,939 15.6 53.8 1,865 14.9 54.1 1,810 14.4 53.8 1,855 14.8 54.3 1,865 14.7 54.5 1,884 14.8 54.6 1,892 14.8 54.2 1,929 15.1 54.2 1,766 14.0 53.2 1,819 14.6 53.6 1,873 14.8 54.2 1,838 14.4 TOTAL Civilian noninstitutional population1 ................................... Civilian labor force....................... Participation rate .................. Employed ................................... Employment-population ratio2 .................................... Unemployed............................... Unemployment rate.............. Not in labor force ........................ M e n , 2 0 y e a rs a n d o v e r Civilian noninstitutional population1 .................................... Civilian labor force....................... Participation rate .................. Employed ................................... Employment-population ratio2 .................................... Agriculture............................... Nonagricultural industries....... Unemployed............................... Unemployment rate.............. W o m e n , 20 y e a rs o n d o v e r Civilian noninstitutional population1.................................... Civilian labor force....................... Participation rate .................. Employed .................................. Employment-population ratio2 ................................... Agriculture............................... Nonagricultural industries....... Unemployed............................... Unemployment rate.............. B o th s e x e s , 16 to 19 y e a rs Civilian noninstitutional population1.................................... Civilian labor force....................... Participation rate .................. Employed ................................... Employment-population ratio2 .................................... Agriculture ............................... Nonagricultural industries....... Unemployed............................... Unemployment rate.............. W h ite Civilian noninstitutional population1.................................... Civilian labor force....................... Participation rate .................. Employed ................................... Employment-population ratio2 .................................... Unemployed............................... Unemployment rate.............. B la c k Civilian noninstitutional population1.................................... Civilian labor force....................... Participation rate .................. Employed ................................... Employment-population ratio2 .................................... Unemployed............................... Unemployment rate.............. See footnotes at end of table. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 59 MONTHLY LABOR REVIEW December 1986 • Current Labor Statistics: Employment Data 5. Continued— Employment status of the civilian population, by sex, age, race and Hispanic origin, monthly data seasonally adjusted (Numbers in thousands) 1986 1985 Annual average Employment status 1984 1985 Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. 11,478 7,451 64.9 6,651 11,915 7,698 64.6 6,888 12,040 7,854 65.2 6,982 12,075 7,782 64.4 6,953 12,111 7,772 64.2 6,962 12,148 7,787 64.1 6,998 12,184 7,943 65.2 6,969 12,219 7,920 64.8 7,105 12,255 7,975 65.1 7,144 12,290 8,002 65.1 7,123 12,326 8,110 65.8 7,251 12,362 8,123 65.7 7,274 12,397 8,102 65.4 7,213 12,432 8,170 65.7 7,264 12,469 8,210 65.8 7,351 57.9 800 10.7 57.8 811 10.5 58.0 872 11.1 57.6 829 10.7 57.5 810 10.4 57.6 789 10.1 57.2 974 12.3 58.2 815 10.3 58.3 832 10.4 58.0 878 11.0 58.8 858 10.6 58.8 849 10.5 58.2 889 11.0 58.4 906 11.1 59.0 858 10.5 H is p a n ic o r ig in Civilian noninstitutional population1 .................................... Civilian labor force....................... Participation rate .................. Employed ................................... Employment-population ratio2 .................................... Unemployed............................... Unemployment rate.............. 1 The population figures are not seasonally adjusted. 2 Civilian employment as a percent of the civilian noninstitutional population. NOTE: Detail for the above race and Hispanic-origin groups will not sum to totals 6. because data for the ‘‘other races” groups are not presented and Hispanics are included in both the white and black population groups. Selected employment indicators, monthly data seasonally adjusted (In thousands) 1986 1985 Annual average Selected categories 1984 1985 Oct. Nov. Jan. Dec. Feb. Mar. Apr. May June July Aug. Sept. Oct. C H A R A C T E R IS T IC Civilian employed, 16 years and M en.......................................... Women .................................... Married men, spouse present .. Married women, spouse present.................................... Women who maintain families . 105,005 59,091 45,915 39,056 107,150 59,891 47,259 39,248 107,813 60,105 47,708 39,272 107,969 60,179 47,790 39,314 108,206 60,244 47,962 39,278 108,955 60,919 48,035 39,615 108,561 60,704 47,857 39,382 108,788 60,748 48,041 39,365 108,892 60,713 48,179 39,555 109,110 60,657 48,454 39,614 109,673 60,797 48,876 39,626 109,882 60,847 49,035 39,611 110,155 60,974 49,181 39,716 109,891 60,923 48,969 39,623 110,240 60,963 49,277 39,668 25,636 5,465 26,336 5,597 26,702 5,514 26,721 5,605 26,804 5,693 26,958 5,702 26,593 5,733 26,656 5,771 26,802 5,812 26,920 5,718 27,427 5,668 27,523 5,829 27,438 5,826 27,203 5,927 27,330 6,056 1,555 1,553 213 1,535 1,458 185 1,465 1,436 172 1,537 1,361 158 1,572 1,409 164 1,673 1,492 163 1,519 1,444 156 1,689 1,453 172 1,587 1,475 180 1,480 1,486 186 1,498 1,504 154 1,486 1,427 171 1,469 1,379 178 1,501 1,472 157 1,562 1,458 159 93,565 15,770 77,794 1,238 76,556 7,785 335 95,871 16,031 79,841 1,249 78,592 7,811 289 96,530 16,213 80,317 1,271 79,046 7,991 248 96,676 16,157 80,519 1,197 79,322 8,013 249 96,921 16,194 80,727 1,131 79,596 7,903 250 97,911 16,418 81,494 1,256 80,238 7,655 273 97,516 16,104 81,412 1,197 80,216 7,669 270 97,698 16,095 81,604 1,213 80,390 7,644 240 97,831 16,187 81,643 1,321 80,322 7,571 253 97,994 16,325 81,669 1,275 80,394 7,757 229 98,372 16,387 81,984 1,279 80,705 7,807 235 98,206 16,647 81,559 1,243 80,317 8,081 254 98,667 16,479 82,188 1,261 80,927 7,982 282 98,738 16,307 82,432 1,234 81,198 7,927 277 98,864 16,243 82,621 1,216 81,405 7,996 262 5,744 2,430 2,948 13,169 5,590 2,430 2,819 13,489 5,475 2,251 2,897 13,713 5,498 2,306 2,883 13,645 5,494 2,303 2,864 13,556 5,543 2,364 2,883 13,958 5,377 2,369 2,703 13,817 5,538 2,330 2,953 13,754 5,923 2,603 2,974 13,933 5,980 2,659 2,893 13,638 5,537 2,434 2,810 14,268 5,399 2,484 2,624 13,991 5,443 2,411 2,711 14,023 5,544 2,496 2,764 13,860 5,772 2,524 2,847 14,257 5,512 2,291 2,866 12,704 5,334 2,273 2,730 13,038 5,241 2,115 2,801 13,277 5,295 2,196 2,784 13,194 5,294 2,195 2,760 13,122 5,275 2,208 2,776 13,441 5,158 2,224 2,636 13,369 5,301 2,159 2,861 13,285 5,621 2,430 2,849 13,599 5,673 2,523 2,790 13,191 5,320 2,308 2,724 13,779 5,191 2,323 2,579 13,656 5,259 2,286 2,660 13,683 5,298 2,327 2,712 13,468 5,501 2,334 2,759 13,811 M A J O R IN D U S T R Y A N D C L A S S OF W ORKER Agriculture: Wage and salary workers....... Self-employed workers............ Unpaid family workers............. Nonagricultural industries: Wage and salary workers ....... Government .......................... Private industries................... Private households............. Self-employed workers............ Unpaid family workers............. PERSONS AT W ORK P A R T T IM E 1 All industries: Part time for economic reasons . Slack work ............................... Could only find part-time work Voluntary part time ..................... Nonagricultural industries: Part time for economic reasons . Could only find part-time work Voluntary part time .................... 1 Excludes persons “with a job but not at work” during the survey period for such Digitized for60 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis reasons as vacation, illness, or industrial disputes. 7. Selected unemployment indicators, monthly data seasonally adjusted (U ne m p loym en t rates) Annual average 1985 1986 Selected categories 1984 1985 Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Total, all civilian workers........................... Both sexes, 16 to 19 years.............................. Men, 20 years and over..................................... Women, 20 years and over................................ 7.5 18.9 6.6 6.8 7.2 18.6 6.2 6.6 7.1 19.8 6.1 6.4 7.0 18.4 6.0 6.4 6.9 18.8 5.9 6.2 6.7 18.4 5.7 6.1 7.3 19.0 6.2 6.7 7.2 18.2 6.2 6.6 7.1 19.6 6.0 6.4 7.3 19.0 6.4 6.5 7.1 19.1 6.2 6.4 6.9 17.5 6.2 6.1 6.8 17.7 5.9 6.1 7.0 18.7 6.2 6.2 7.0 17.6 6.2 6.1 White, total ........................................................ Both sexes, 16 to 19 years............................. Men, 16 to 19 years ................................... Women, 16 to 19 years.............................. Men, 20 years and over .................................. Women, 20 years and over............................. 6.5 16.0 16.8 15.2 5.7 5.8 6.2 15.7 16.5 14.8 5.4 5.7 6.1 17.0 18.5 15.3 5.2 5.5 5.9 15.5 15.8 15.1 5.2 5.4 5.9 15.9 16.2 15.5 5.1 5.4 5.7 14.9 14.7 15.1 5.0 5.3 6.4 16.2 16.5 15.8 5.4 5.9 6.2 14.5 15.3 13.7 5.5 5.8 6.1 16.4 17.2 15.6 5.2 5.5 6.2 16.0 17.3 14.7 5.5 5.5 6.1 16.2 17.8 14.4 5.4 5.4 6.0 15.0 15.3 14.7 5.5 5.3 5.8 15.2 16.7 13.5 5.0 5.2 6.0 16.1 17.0 15.2 5.4 5.3 6.0 15.4 15.4 15.4 5.4 5.2 Black, total ......................................................... Both sexes, 16 to 19 years............................. Men, 16 to 19 years ................................... Women, 16 to 19 years.............................. Men, 20 years and over .................................. Women, 20 years and over............................. 15.9 42.7 42.7 42.6 14.3 13.5 15.1 40.2 41.0 39.2 13.2 13.1 14.9 39.7 41.0 38.2 13.7 12.1 15.6 40.8 45.2 36.0 13.7 13.6 14.9 41.6 41.0 42.3 13.1 12.6 14.4 41.9 41.3 42.4 12.7 12.0 14.8 39.1 38.7 39.5 13.3 12.5 14.7 43.7 44.1 43.4 12.6 12.2 14.8 42.6 41.4 43.7 12.6 12.5 14.8 40.8 40.8 40.8 12.7 12.8 15.1 40.2 38.5 41.9 13.3 12.8 14.0 38.6 41.6 35.1 12.7 11.9 14.6 39.5 37.4 41.8 13.2 12.5 14.8 38.3 38.9 37.8 13.7 12.5 14.4 34.8 38.1 31.6 13.5 12.4 Hispanic origin, total........................................... 10.7 10.5 11.1 10.7 10.4 10.1 12.3 10.3 10.4 11.0 10.6 10.5 11.0 11.1 10.5 Married men, spouse present............................ Married women, spouse present....................... Women who maintain families........................... Full-time workers ................................................ Part-time workers ............................................... Unemployed 15 weeks and over....................... Labor force time lost1 ........................................ 4.6 5.7 10.3 7.2 9.3 2.4 8.6 4.3 5.6 10.4 6.8 9.3 2.0 8.1 4.2 5.3 10.4 6.8 9.6 2.0 7.9 4.3 5.5 10.0 6.7 8.8 1.9 7.9 4.3 5.3 9.4 6.6 9.0 1.9 7.8 4.3 5.1 9.9 6.4 8.4 1.8 7.6 4.5 5.5 9.9 6.9 9.4 2.0 8.1 4.5 5.6 10.1 6.9 9.1 1.9 8.1 4.2 5.3 9.4 6.7 9.6 1.8 8.1 4.5 5.4 10.2 7.0 9.2 1.9 8.3 4.5 5.2 10.1 6.7 9.1 2.0 8.1 4.4 5.3 9.2 6.6 9.0 1.9 7.7 4.1 5.1 10.3 6.4 9.3 1.9 7.7 4.2 5.0 10.1 6.7 9.3 2.0 8.0 4.6 5.0 8.8 6.6 9.2 1.8 7.9 7.4 10.0 14.3 7.5 7.2 7.8 5.5 8.0 5.9 4.5 13.5 7.2 9.5 13.1 7.7 7.6 7.8 5.1 7.6 5.6 3.9 13.2 7.1 7.7 13.5 7.5 7.3 7.8 5.1 7.7 5.4 3.9 12.9 7.0 7.3 13.4 7.7 7.6 7.8 5.1 7.5 5.4 3.6 12.5 6.9 10.3 12.6 7.3 7.3 7.3 5.0 7.6 5.3 3.8 10.6 6.7 10.9 12.9 7.0 7.0 7.1 4.3 7.2 5.2 3.4 10.9 7.2 9.2 13.2 7.2 7.4 7.0 5.3 7.8 5.9 3.8 14.3 7.2 10.4 13.0 7.2 6.8 7.7 6.1 7.6 5.7 4.0 11.9 7.2 12.8 12.0 6.8 6.8 6.8 5.6 8.1 5.9 3.5 13.4 7.3 13.7 13.3 7.5 7.3 7.7 5.3 8.1 5.5 3.7 15.8 7.1 17.6 12.1 7.3 7.1 7.5 5.5 7.7 5.4 3.6 13.2 7.2 17.0 13.2 6.9 6.7 7.2 6.1 7.8 5.7 3.2 11.6 6.9 16.7 12.2 6.8 6.9 6.7 4.6 7.4 5.7 3.2 13.8 7.0 13.3 12.7 7.0 6.5 7.8 4.7 7.6 5.6 3.5 13.5 7.0 14.4 14.1 7.3 7.3 7.3 5.2 7.4 5.3 3.8 11.7 C H A R A C T E R IS T IC IN D U S T R Y Nonagricultural private wage and salary workers .... Mining..................................................... Construction ................................................... Manufacturing .................................................... Durable goods................................................. Nondurable goods ........................................... Transportation and public utilities ...................... Wholesale and retail trade................................. Finance and service industries.......................... Government workers ................................ Agricultural wage and salary workers ..................... 1 Aggregate hours lost by the unemployed and persons on part time for economic https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis reasons as a percent of potentially available labor force hours. 61 MONTHLY LABOR REVIEW 8. December 1986 • Current Labor Statistics: Employment Data Unemployment rates by sex and age, monthly data seasonally adjusted (Civilian workers) Annual average Sex and age 1984 1986 1985 1985 Nov. Oct. Dec. Jan. Mar. Feb. Apr. June May July Sept. Aug. Oct. Total, 16 years and over .................................................................. 16 to 24 years............................................................................... 16 to 19 years ............................................................................. 16 to 17 years .......................................................................... 18 to 19 years .......................................................................... 20 to 24 years ............................................................................. 25 years and over.......................................................................... 25 to 54 years .......................................................................... 55 years and over.................................................................... 7.5 13.9 18.9 21.2 17.4 11.5 5.8 6.1 4.5 7.2 13.6 18.6 21.0 17.0 11.1 5.6 5.8 4.1 7.1 13.9 19.8 22.7 17.8 10.9 5.4 5.7 3.9 7.0 13.5 18.4 21.4 16.9 11.0 5.4 5.6 3.8 6.9 13.3 18.8 21.1 17.5 10.6 5.3 5.5 3.9 6.7 13.0 18.4 20.9 16.4 10.4 5.1 5.4 3.9 7.3 13.6 19.0 21.8 17.2 10.8 5.7 5.9 4.4 7.2 13.2 18.2 19.4 17.1 10.6 5.7 5.9 4.3 7.1 13.9 19.6 20.9 18.9 10.9 5.4 5.8 3.9 7.3 14.2 19.0 21.1 17.5 11.7 5.5 5.9 3.6 7.1 13.5 19.1 20.6 17.9 10.7 5.6 5.9 3.7 6.9 13.0 17.5 19.4 15.7 10.8 5.4 5.8 3.8 6.8 12.8 17.7 19.6 16.6 10.2 5.3 5.6 3.7 7.0 13.8 18.7 20.3 17.4 11.2 5.4 5.6 4.1 7.0 12.9 17.6 19.1 16.3 10.4 5.5 5.8 4.2 Men, 16 years and over.............................................................. 16 to 24 years .......................................................................... 16 to 19 years........................................................................ 16 to 17 years..................................................................... 18 to 19 years..................................................................... 20 to 24 years........................................................................ 25 years and over .................................................................... 25 to 54 years..................................................................... 55 years and over................................................................ 7.4 14.4 19.6 21.9 18.3 11.9 5.7 5.9 4.6 7.0 14.1 19.5 21.9 17.9 11.4 5.3 5.6 4.1 7.1 14.6 21.5 24.0 19.9 11.1 5.3 5.5 4.1 6.9 13.9 19.4 20.9 18.7 11.2 5.2 5.4 4.0 6.7 13.5 19.3 21.6 18.0 10.6 5.1 5.4 3.9 6.5 12.8 18.2 20.9 16.2 10.3 5.0 5.3 3.9 7.0 13.6 19.3 23.2 16.6 10.7 5.5 5.7 4.4 7.0 13.6 18.9 20.0 17.8 11.0 5.5 5.7 4.3 6.9 14.5 20.2 21.2 19.7 11.6 5.2 5.5 3.9 7.3 15.0 20.4 21.6 19.6 12.2 5.4 5.8 3.8 7.1 14.0 20.1 19.4 20.4 11.0 5.5 5.8 4.1 7.0 13.5 18.2 20.0 16.1 11.2 5.5 5.8 3.9 6.8 13.3 19.2 21.0 18.1 10.3 5.3 5.5 4.1 7.0 14.5 19.4 21.9 17.4 12.0 5.3 5.5 4.3 7.0 13.0 18.0 19.7 16.7 10.4 5.6 5.8 4.6 Women, 16 years and over....................................................... 16 to 24 years......................................................................... 16 to 19 years ...................................................................... 16 to 17 years ................................................................... 18 to 19 years ................................................................... 20 to 24 years ...................................................................... 25 years and over................................................................... 25 to 54 years ................................................................... 55 years and over.............................................................. 7.6 13.3 18.0 20.4 16.6 10.9 6.0 6.3 4.2 7.4 13.0 17.6 20.0 16.0 10.7 5.9 6.2 4.1 7.3 13.1 17.9 21.2 15.5 10.7 5.6 5.9 3.7 7.2 13.1 17.4 22.0 15.1 10.8 5.6 5.9 3.6 7.1 13.2 18.3 20.6 16.9 10.6 5.4 5.7 3.9 7.0 13.2 18.5 20.8 16.5 10.5 5.3 5.6 3.8 7.6 13.6 18.6 20.2 17.7 11.0 5.9 6.2 4.4 7.4 12.7 17.5 18.7 16.3 10.1 5.9 6.3 4.4 7.4 13.2 19.0 20.5 18.1 10.0 5.8 6.2 3.8 7.3 13.3 17.6 20.5 15.3 11.1 5.7 6.1 3.4 7.2 13.0 18.0 21.9 15.1 10.4 5.7 6.1 3.1 6.9 12.5 16.6 18.7 15.3 10.4 5.4 5.7 3.6 6.8 12.1 16.0 18.1 15.0 10.1 5.4 5.8 3.1 7.1 12.9 17.9 18.5 17.3 10.3 5.5 5.8 3.8 6.9 12.8 17.1 18.4 15.9 10.5 5.4 5.7 3.7 9. Unemployed persons by reason for unemployment, monthly data seasonally adjusted (Numbers in thousands) 1986 1985 Annual average Reason for unemployment 1984 Job losers ................................................................ On layoff................................................................ Other job losers.................................................... Job leavers .............................................................. Reentrants ............................................................... New entrants ........................................................... 1985 Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. 4,421 1,171 3,250 823 2,184 1,110 4,139 1,157 2,982 877 2,256 1,039 4,040 1,161 2,879 911 2,237 1,045 4,081 1,175 2,906 808 2,226 1,055 3,933 1,132 2,801 876 2,225 1,033 3,776 1,163 2,613 996 2,066 1,025 4,162 1,152 3,010 1,001 2,292 1,097 4,246 1,164 3,082 1,002 2,197 1,000 4,034 1,028 3,006 1,110 2,191 1,059 4,311 1,133 3,178 975 2,217 1,062 4,335 1,066 3,269 1,013 2,064 1,059 3,937 1,079 2,858 1,034 2,223 965 3,831 990 2,841 978 2,232 1,000 4,044 1,014 3,030 1,043 2,118 1,044 3,979 1,082 2,897 997 2,223 955 51.8 13.7 38.1 9.6 25.6 13.0 49.8 13.9 35.9 10.6 27.1 12.5 49.1 14.1 35.0 11.1 27.2 12.7 50.0 14.4 35.6 9.9 27.2 12.9 48.8 14.0 34.7 10.9 27.6 12.8 48.0 14.8 33.2 12.7 26.3 13.0 48.7 13.5 35.2 11.7 26.8 12.8 50.3 13.8 36.5 11.9 26.0 11.8 48.1 12.2 35.8 13.2 26.1 12.6 50.3 13.2 37.1 11.4 25.9 12.4 51.2 12.6 38.6 12.0 24.4 12.5 48.3 13.2 35.0 12.7 27.2 11.8 47.6 12.3 35.3 12.2 27.8 12.4 49.0 12.3 36.7 12.6 25.7 12.7 48.8 13.3 35.5 12.2 27.3 11.7 3.9 .7 1.9 1.0 3.6 .8 2.0 .9 3.5 .8 1.9 .9 3.5 .7 1.9 .9 3.4 .8 1.9 .9 3.2 .9 1.8 .9 3.6 .9 2.0 .9 3.6 .9 1.9 .9 3.4 .9 1.9 .9 3.7 .8 1.9 .9 3.7 .9 1.7 .9 3.3 .9 1.9 .8 3.2 .8 1.9 .8 3.4 .9 1.8 .9 3.4 .8 1.9 .8 PERCENT OF UNEM PLOYED Job losers.............................................................. On layoff............................................................. Other job losers................................................. Job leavers............................................................ Reentrants............................................................. New entrants ........................................................ PERCENT OF C IV IL IA N LABOR FORCE Job losers ............................................................... Job leavers .............................................................. Reentrants ............................................................... New entrants ........................................................... 10. Duration of unemployment, monthly data seasonally adjusted (Numbers in thousands) 1986 1985 Annual average Weeks of unemployment 62 1984 1985 Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Less than 5 weeks ........................................... 5 to 14 weeks .................................................. 15 weeks and over........................................... 15 to 26 weeks .............................................. 27 weeks and over ........................................ 3,350 2,451 2,737 1,104 1,634 3,498 2,509 2,305 1,025 1,280 3,430 2,536 2,277 1,057 1,220 3,465 2,448 2,205 894 1,311 3,374 2,460 2,188 973 1,215 3,311 2,441 2,056 969 1,087 3,562 2,622 2,340 1,149 1,191 3,589 2,640 2,258 1,099 1,159 3,628 2,685 2,135 1,001 1,134 3,705 2,737 2,209 1,072 1,137 3,384 2,708 2,320 1,036 1,284 3,394 2,486 2,256 1,066 1,190 3,427 2,379 2,295 1,086 1,209 3,407 2,533 2,405 1,114 1,291 3,418 2,584 2,167 929 1,238 Mean duration in weeks.................................... Median duration in weeks................................. 18.2 7.9 15.6 6.8 15.4 7.0 15.7 6.9 15.4 6.9 14.9 6.8 15.3 6.9 14.4 6.8 14.3 6.5 14.4 6.6 15.2 7.3 15.0 7.1 15.8 7.2 15.6 7.2 15.2 7.0 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 11. Unemployment rates of civilian workers by State, data not seasonally adjusted Sept. 1985 Sept. 1986 Alabama....................................................... Alaska .......................................................... Arizona......................................................... Arkansas...................................................... California...................................................... 8.1 7.3 6.5 7.4 7.0 9.7 9.7 6.9 8.0 6.2 Colorado ...................................................... Florida .......................................................... 5.3 4.3 4.2 8.2 6.5 6.7 3.6 3.9 8.5 6.3 Hawaii........................................................... Idaho ............................................................ Illinois ........................................................... Indiana ......................................................... 6.4 5.6 6.4 8.9 6.9 5.8 4.5 7.1 7.8 6.3 Maine............................................................ 7.0 4.4 8.2 11.4 4.3 5.8 5.2 7.0 12.5 4.2 Minnesota.................................................... Mississippi.................................................... Missouri........................................................ 4.1 39 98 4.9 95 54 4.2 4.3 8.3 4.2 11.2 5.9 State Iowa.............................................................. Sept. 1985 Sept. 1986 Montana ..................................................... 6.1 4.7 7.3 3.2 6.6 3.9 5.0 26 New Jersey................................................. New Mexico ................................................ 4.8 8.4 64 4.2 44 4.3 9.0 58 5.0 5.0 Ohio ............................................................ 9.0 6.6 7.5 7.1 4.2 8.4 82 7.7 6.4 3.3 South Carolina............................................ South Dakota.............................................. 6.2 4.0 72 7.2 5.0 5.4 3.6 70 91 5.2 Vermont...................................................... Wisconsin................................................... 3.7 5.2 68 10 7 5.8 3.4 45 71 11 6 6.1 Wyoming..................................................... 5.9 8.0 State Oregon........................................................ Pennsylvania............................................... NOTE: Some data in this table may differ from data published elsewhere because of the continual updating of the database, 12. Employment of workers on nonagricultural payrolls by State, data not seasonally adjusted (In thousands) Sept. 1985 Aug. 1986 A la b a m a ................... A la ska ....................... A r iz o n a ...................... A rk a n s a s .................. C a lifo rn ia .................. 1,422.9 244.9 1,286.3 819.0 11,084.9 1,436.6 242.7 1,335.5 823.3 11,173.1 C o lo ra do .................. C o n n e cticu t ............. D e la w a re .................. D istrict o f C olum bia F lo r id a ....................... 1,426.8 1,583.6 297.8 627.0 4,414.8 1,445.8 1,607.6 301.9 667.2 4,508.5 G eo rg ia ..................... H a w a ii........................ Idaho ......................... Illinois ........................ Indiana ...................... 2,591.1 418.9 348.7 4,794.6 2,218.6 2,650.4 431.5 333.0 4,826.3 2,266.3 I o w a ............................ Kansas ...................... K e n tu c k y .................. L o u is ia n a .................. M a in e ......................... 1,084.1 985.4 1,260.1 1,603.9 471.7 1,062.0 989.7 1,274.6 1,504.3 485.6 M aryland .................. M a s s a c h u s e tts ....... M ic h ig a n ................... M in n e s o ta ................ M is s is s ip p i................ M is s o u ri..................... M o n ta n a ................... 1,902.1 2,938.6 3,553.0 1,894.8 848.5 2,133.1 282.8 1,941.5 2,967.5 3,575.2 1,905.0 835.0 2,163.2 273.6 Sept. 1986p 1,442.1 237.4 1,354.6 839.2 11,305.4 Sept. 1985 Aug. 1986 Sept. 1986p Nebraska.................................................... Nevada ....................................................... New Hampshire.......................................... 656.3 455.4 479.2 657.1 469.6 494.8 663.7 473.0 495.4 New Jersey ................................................ New Mexico ................................................ 1,441.6 New York.................................................... 1,623.2 North Carolina ............................................ 301.6 North Dakota .............................................. 648.9 4,575.8 Ohio ............................................................ Oklahoma................................................... 2,672.9 Oregon........................................................ 425.8 Pennsylvania............................................... 344.2 Rhode Island............................................... 4,857.3 2,296.3 South Carolina............................................ South Dakota.............................................. 1,072.3 Tennessee .................................................. 999.3 Texas .......................................................... 1,289.4 Utah ............................................................ 1,517.8 484.9 Vermont...................................................... Virginia........................................................ 1,941.5 Washington ................................................. 2,991.1 West Virginia............................................... 3,611.9 Wisconsin.................................................... 1,923.8 856.5 Wyoming..................................................... 2,186.0 Puerto Rico ................................................. 273.9 Virgin Islands .............................................. 3,451.6 524.9 7,797.6 2,672.5 254.8 3,564.3 523.7 7,914.0 2,696.9 248.9 3,550.0 524.6 7,948.5 2,752.7 252.4 4,437.7 1,186.0 1,047.2 4,777.9 430.2 4,526.0 1,137.1 1,058.6 4,835.3 430.6 4,570.1 1,146.1 1,068.8 4,852.2 433.4 1,318.7 249.7 1,889.7 6,711.0 634.9 1,347.8 252.0 1,943.3 6,644.1 632.9 1,362.7 253.3 1,964.9 6,676.0 642.6 227.1 2,479.3 1,741.5 601.7 2,016.1 224.3 2,536.5 1,772.4 597.5 2,031.4 227.8 2,562.1 1,794.1 600.9 2,047.5 211.8 679.0 35.5 201.1 696.9 37.2 201.0 704.2 35.8 p = preliminary NOTE: Some data in this table may differ from data published elsewhere https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis State • because of the continual updating of the database. 63 MONTHLY LABOR REVIEW 13. December 1986 • Current Labor Statistics: Employment Data Employment of workers on nonagricultural payrolls by industry, monthly data seasonally adjusted (In thousands) 1986 1985 A nn u al average 1984 1985 Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. S ept.p O ct.p 94,496 78,472 97,614 81,199 98,428 81,853 9 8,666 82,073 98,910 82,281 99,296 8 2,659 99,429 82,748 99,484 82,785 99,783 83,072 99,918 83,198 99,843 83,161 100,105 83,508 100,283 83,655 100,448 83,705 100,746 83,943 24,727 966 607 24,930 930 585 24,903 913 571 24,931 907 565 24,977 901 560 25,101 897 556 2 5,038 880 541 24,945 852 518 25,038 821 488 24,965 790 461 24,854 772 446 24,869 768 442 24,888 753 431 24,850 743 423 24,882 746 424 4,383 1,161 4,687 1,251 4,754 1,276 4,765 1,283 4,787 1,287 4,901 1,330 4,864 1,320 4,838 1,298 4,972 1,315 4,974 1,314 4,947 1,299 4 ,980 1,299 5,012 1,306 5,008 1,299 5,010 1,306 19,378 13,285 19,314 13,130 19,236 13,059 19,259 13,074 19,289 13,100 19,303 13,111 19,294 13,097 19,255 13,061 19,245 13,060 19,201 13,025 19,135 12,979 19,121 12,961 19,123 12,971 19,099 12,955 19,126 12,998 11,505 7,739 11,516 7,660 11,447 7,594 11,453 7,594 11,461 7,595 11,466 7,595 11,455 7,579 11,418 7,545 11,415 7,547 11,378 7,519 11,307 7,462 11,294 7,441 11,302 7,458 11,275 7,439 11,290 7,471 704 487 593 857 700 493 591 813 705 493 591 797 708 493 591 801 710 494 593 803 716 494 596 798 716 494 597 795 715 493 594 787 719 494 600 785 719 496 599 780 721 496 597 761 724 498 593 758 729 499 592 751 734 500 594 749 738 501 593 750 334 1,463 305 1,468 304 1,460 302 1,459 303 1,456 300 1,455 299 1,452 293 1,450 291 1,451 288 1,447 286 1,440 285 1,428 272 1,429 270 1,433 274 1,431 M achinery, e xce p t e le c tr ic a l.......... E le ctrical a nd e le ctro n ic e q u ip m e n t............................................ T ra n sp o rta tio n e q u ip m e n t............... M o to r ve h icle s and e qu ip m e nt .... Instru m e n ts and related pro du cts M iscellan eo u s m a nufacturing in d u s trie s ............................................. 2,198 2,182 2,146 2 ,139 2,133 2,137 2,127 2,118 2,111 2,100 2,089 2,079 2,072 2,044 2,039 2,208 1,901 862 714 2,207 1,971 876 723 2,181 1,987 873 722 2,179 1,993 870 723 2,182 1,998 872 725 2,182 1,996 867 724 2,181 1,998 864 725 •2,177 1,989 858 726 2,177 1,986 854 723 2,175 1,972 839 721 2,143 1,974 839 717 2,169 1,969 824 713 2,168 1,985 839 713 2,162 1,982 836 714 2,171 1,990 836 713 382 369 365 367 367 368 370 369 369 369 369 363 364 363 364 N o n d u r a b l e g o o d s .................................. 7,873 5,546 7,798 5,470 7,789 5,465 7,806 5,480 7,828 5,505 7,837 5,516 7,839 5,518 7,837 5,516 7,830 5,513 7,823 5,506 7,828 5,517 7,827 5,520 7,821 5,513 7,824 5,516 7,836 5,527 Food and kindred p r o d u c ts ........... T o b a c c o m an ufa ctu re s .............. T e xtile mill p ro du cts ......................... A pp a rel and o th e r textile p ro d u c ts ............................................... P aper and allied p ro du cts .............. 1,612 64 746 1,608 65 704 1,610 64 699 1,612 65 701 1,623 64 702 1,623 64 702 1,631 63 705 1,632 63 707 1,633 63 703 1,640 62 705 1,648 62 707 1,645 62 710 1,642 59 711 1,638 60 710 1,635 59 710 1,185 681 1,125 683 1,121 683 1,122 687 1,130 686 1,133 687 1,122 687 1,117 688 1,119 689 1,113 689 1,106 690 1,108 687 1,108 685 1,109 690 1,108 693 P rinting and p u b lis h in g ..................... C h em ica ls and allie d p ro d u c ts ...... P etroleum and co al p ro d u c ts ........ R ubb e r a nd mise, plastics p ro d u c ts ............................................... L e a th e r and le ath er p ro du cts ....... 1,376 1,049 189 1,435 1,046 178 1,447 1,040 171 1,454 1,037 170 1,457 1,035 169 1,461 1,034 168 1,467 1,032 167 1,469 1,031 166 1,472 1,028 166 1,474 1,024 166 1,477 1,026 164 1,483 1,025 163 1,481 1,026 163 1,485 1,023 162 1,489 1,023 163 780 189 790 166 790 164 794 164 798 164 802 163 803 162 804 160 800 157 796 154 797 151 792 152 794 152 797 150 805 151 69,769 72,684 73,525 73,735 73,933 74,195 74,391 74,539 74,745 74,953 74,989 75,236 75,395 75,598 75,864 5,159 2,917 5,242 3,006 5,260 3,026 5,272 3,040 5,277 3,046 5,286 3,056 5,277 3,048 5,280 3,053 5,266 3,040 5,265 3,037 5,167 3,035 5,288 3,057 5,255 3,063 5,309 3,080 5,314 3,092 2,242 2,236 2,234 2,232 2,231 2,230 2,229 2,227 2,226 2,228 2,132 2,231 2,192 2,229 2,222 5,555 3,276 2,279 5,740 3,409 2,331 5,796 3,442 2,354 5,796 3,451 2,345 5,809 3,460 2,349 5,830 3 ,470 2,360 5,843 3,482 2,361 5,841 3,480 2,361 5,864 3,485 2,379 5,872 3,488 2,384 5,829 3,454 2,375 5,849 3,483 2,366 5,863 3,485 2 ,378 5,858 3,485 2,373 5,871 3,493 2,378 16,545 2,267 2,637 17,360 2,320 2,779 17,543 2,329 2,828 17,589 2,326 2,845 17,622 2,317 2,870 17,734 2,328 2,880 17,795 2,333 2,891 17,828 2,333 2,901 17,851 2,342 2,910 17,911 2,344 2,917 17,944 2,350 2,932 17,992 2,354 2,938 18,030 2,359 2,951 18,030 2 ,364 2,951 18,109 2,383 2,958 1,799 5,388 1,892 5,715 1,916 5,772 1,918 5,783 1,922 5,801 1,929 5,831 1,938 5,854 1,939 5,868 1,940 5,859 1,944 5,889 1,945 5,918 1,950 5,931 1,962 5,923 1,967 5,918 1,975 5,952 5,689 2,854 1,757 1,078 5,953 2,979 1,830 1,144 6,038 3,024 1,852 1,162 6,070 3,039 1,862 1,169 6,095 3,053 1,868 1,174 6,123 3,066 1,878 1,179 6,157 3,082 1,889 1,186 6,184 3,095 1,900 1,189 6,228 3,120 1,910 1,198 6,261 3,137 1,918 1,206 6,295 3,159 1,927 1,209 6,334 3,176 1,945 1,213 6,364 3,192 1,952 1,220 6,383 3,201 1,962 1,220 6,399 3,213 1,968 1,218 20,797 4,057 6,122 21,974 4,452 6,310 22,313 4 ,567 6,375 22,415 4,604 6,401 22,501 4,631 6,424 22,585 4,660 6,447 22,638 4,687 6,471 22,707 4,698 6,497 22,825 4,750 6,511 22,924 4,755 6,543 23,072 4,792 6,571 2 3,176 4 ,835 6,601 2 3,255 4 ,848 6,634 23,275 4,887 6,650 23,368 4,911 6,687 16,024 2,807 3,734 9,482 16,415 2,875 3,848 9,692 16,575 2,895 3,895 9,785 16,593 2,904 3,901 9,788 16,629 2,913 3,904 9,812 16,637 2,918 3,916 9,803 16,681 2,918 3,924 9,839 16,699 2,923 3,927 9,849 16,711 2,914 3,938 9,859 16,720 2,899 3,936 9,885 16,682 2,875 3,927 9,880 16,597 2,866 3,921 9,810 16,628 2,875 3 ,919 9,834 16,743 2,899 3,940 9,904 16,803 2,895 3,951 9,957 TOTAL .......................................................... P R IV A T E S E C T O R G O O D S P R O D U C IN G ................................ .............................. M i n i n g ................................................................. O il and gas e xtractio n .................... C o n s tr u c tio n ................................................ G en e ra l building c o n tra c to r s ........ M a n u f a c t u r i n g ............................................. P ro du ction w o rke rs ......................... D u r a b l e g o o d s .......................................... P rodu ction w o rke rs ......................... L um ber a nd w o od p ro du cts .......... Furniture a nd f ix t u r e s ....................... S tone, clay, and glass p ro du cts ... P rim ary m etal in du strie s ................. B last furna ce s and basic steel p ro d u c ts ............................................... F a bricate d m etal p ro d u c ts .............. P ro du ction w o rk e rs ............................ S E R V IC E -P R O D U C IN G ......................... T r a n s p o r t a t io n a n d p u b lic u t i l i t i e s .............................................................. T ra n s p o rta tio n ..................................... C o m m u n icatio n and public u tilitie s .................................................. W h o le s a le tr a d e ....................................... D urable g o o d s ..................................... N o nd u ra ble g o o d s ............................. R e t a i l t r a d e .................................................... ' G en e ra l m erch an d ise s t o r e s ......... F ood s t o r e s ......................................... A u to m o tive dea le rs a nd service s t a t io n s ................................................ Eating and d rinking p la c e s ............. F in a n c e , in s u r a n c e , a n d r e a l e s t a t e ................................................................. Fin a nce ................................................. In s u ra n c e ............................................. Real e s t a t e ......................................... S e r v i c e s ........................................................... B usine ss s e r v ic e s ............................. H ealth se rvice s ................................. G o v e rn m e n t ................................................ F e d e r a l................................................. S ta te ...................................................... L o c a l...................................................... p = prelim inary NOTE: 64 See “ Notes on the data” for a description of the most recent benchmark revision. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 14. Average weekly hours of production or nonsupervisory workers on private nonagricultural payrolls by industry, monthly data seasonally adjusted A nnual average 1985 1986 Industry 1984 P R IV A T E S E C TO R .................................................... 35.2 1985 34.9 Oct. 34.9 Nov. 34.8 Dec. Jan. 34.9 35.0 Feb. 34.9 Mar. 34.9 Apr. 34.8 May 34.8 June 34.7 July 34.7 Aug. 34.8 S ep t.p 34.7 O ct.p 34.6 C O N S T R U C T IO N .............................................................. 37.8 37.7 - - - - - - M A N U F A C T U R IN G .......................................................... O vertim e h o u r s ......................................................... 40.7 3.4 40.5 3.3 40.7 3.4 40.7 3.4 40.9 3.6 40.8 3.5 40.7 3.4 40.7 3.4 40.7 3.4 40.7 3.4 40.6 3.3 40.6 3.4 40.8 3.5 40.8 3.5 40.6 3.4 D u ra b le g o o d s ................................................................ O vertim e h o u r s ......................................................... Lum be r a nd w o od p r o d u c t s ....................................... Furniture and f ix t u r e s .................................................... S to n e, clay, and glass p r o d u c t s ............................... P rim ary m etal in du strie s .............................................. B last furn a ce s and basic steel p r o d u c ts ........... Fa bricate d m etal p ro d u cts ......................................... 41.4 3.6 39.9 39.7 42.0 41.7 40.7 41.4 41.2 3.5 39.9 39.4 41.9 41.5 41.1 41.3 41.3 3.5 40.2 39.5 42.1 41.8 41.6 41.5 41.3 3.6 39.9 39.4 41.8 41.9 41.9 41.5 41.6 3.7 40.2 39.9 41.8 42.1 41.9 41.6 41.5 3.6 40.4 40.0 42.7 41.9 41.7 41.5 41.4 3.5 40.0 39.7 41.9 42.1 41.8 41.5 41.4 3.6 40.2 39.4 41.9 41.9 41.7 41.4 41.3 3.6 40.3 39.1 42.4 41.3 40.5 41.2 41.2 3.4 40.3 39.4 42.3 41.7 41.5 41.1 41.2 3.5 39.9 39.4 42.2 41.6 41.1 41.1 41.1 3.5 40.1 39.4 42.2 41.3 41.2 41.1 41.4 3.5 40.2 39.9 42.5 41.9 41.5 41.2 41.5 3.6 40.1 40.1 42.5 42.1 41.9 41.5 41.2 3.5 40.2 39.8 42.2 42.3 42.8 41.0 M ach ine ry e xcep t e le ctrica l ....................................... E lectrical and e le ctro n ic e q u ip m e n t........................ T ra n spo rta tion e q u ip m e n t............................................ M o to r ve hicles and e q u ip m e n t............................... Instru m e n ts and re la ted p ro du cts ............................ M iscellan eo u s m a n u fa c tu rin g ..................................... 41.9 41.0 42.7 43.8 41.3 39.4 41.5 40.6 42.6 43.5 41.0 39,4 41.5 40.6 42.8 43.7 40.9 41.6 40.9 42.7 43.6 41.0 41.7 41.1 43.0 44.0 41.6 41.6 41.0 42.8 43.6 41.1 41.6 40.9 42.7 43.4 41.2 41.6 41.0 42.7 43.3 41.3 41.8 41.1 42.1 41.9 41.3 41.8 41.0 41.9 41.8 40.9 41.7 41.0 42.2 42.4 41.0 41.4 41.1 42.1 42.4 40.8 41.7 41.2 42.6 42.8 41.0 41.7 41.3 42.6 42.7 40.7 41.5 41.0 42.0 41.9 40.8 - - - N o n d u ra b le g o o d s ........................................................ O vertim e h o u r s ......................................................... F ood and kindred p r o d u c ts ........................................ T o b a cco m a n u fa c tu re s ................................................ T e xtile mill p ro d u c ts ...................................................... A pp a rel and o th e r te xtile p ro d u c ts .......................... P aper and allie d p ro du c ts .......................................... 39.7 3.1 39.8 38.9 39.9 36.4 43.1 39.6 3.1 40.0 37.2 39.7 36.4 43.1 39.8 3.2 40.2 39.8 3.2 40.0 40.0 3.4 40.1 P rinting and p u b lis h in g ................................................. C h em ica ls and allied p ro d u c ts .................................. P etro le um and co al p ro d u c ts ..................................... L ea the r and le ath er p ro du cts ................................... 37.9 41.9 43.7 36.8 T R A N S P O R T A T IO N A N D P U B L IC U T IL IT IE S - - 39.8 3.2 39.9 39.9 3.3 40.2 39.9 3.4 40.2 _ 39.8 3.2 40.0 _ 39.8 3.4 40.0 _ 40.0 3.4 40.3 _ - 39.9 3.3 39.7 _ - 39.8 3.4 39.7 - - 40.8 36.7 43.6 40.6 36.3 43.5 40.7 36.5 43.5 41.3 36.9 43.0 41.1 36.5 43.2 40.8 36.5 43.1 40.9 36.6 43.2 41.4 36.5 43.5 41.5 36.7 43.1 41.2 36.6 42.9 37.8 41.9 43.0 37.2 37.9 41.8 44.2 37.9 41.9 43.2 38.1 42.0 43.6 38.0 41.9 43.5 38.0 41.8 43.7 38.0 41.9 43.8 38.0 41.9 43.6 38.0 42.0 43.4 37.8 41.9 44.0 37.9 41.9 43.5 38.0 42.1 44.3 38.0 42.0 43.2 37.8 42.1 43.4 - - - - - - - - - - - - - 39.4 39.5 39.5 39.4 39.5 39.4 39.5 39.6 39.2 39.2 39.1 39.2 39.1 38.9 38.8 W H O L E S A L E T R A D E ................................................................. 38.5 38.4 38.4 38.4 38.4 38.5 38.4 38.5 38.5 38.4 38.3 38.3 38.4 38.2 38.3 R E T A IL T R A D E ............................................................................... 29.8 29.4 29.3 29.3 29.2 29.3 29.3 29.3 29.2 29.2 29.1 29.2 29.2 29.2 29.1 ........................................................................................... 32.6 32.5 32.5 32.4 32.5 32.6 32.6 32.5 32.5 32.5 32.4 32.4 32.4 32.4 32.3 - - - - 41.0 36.8 43.5 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis - 39.7 3.2 39.8 - 40.8 36.8 43.3 - Data not available. p = preliminary - 39.9 3.3 40.1 - 40.7 36.6 43.2 S E R V IC E S - - _ NOTE: See “Notes on the data" for a description of the most recent benchmark adjustment. MONTHLY LABOR REVIEW December 1986 • Current Labor Statistics: Employment Data 15. Average hourly earnings of production or nonsupervisory workers on private nonagricultural payrolls by industry A nnual average 1986 1985 Industry P R I V A T E S E C T O R ........................................................................ S ea so na lly a dju sted .................................................. 1984 1985 O ct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept.» Oct.» $8.32 $8.57 $8.64 8.63 $8.66 8.65 $8.71 8.70 $8.72 8.68 $8.74 8.71 $8.73 8.73 $8.72 8.72 $8.72 8.73 $8.71 8.74 $8.69 8.73 $8.70 8.77 $8.81 8.77 $8.83 8.82 - - M I N I N G .................................................................................................... 11.63 11.98 12.00 12.07 12.27 12.24 12.32 12.35 12.43 12.44 12.50 12.46 12.51 12.51 12.54 C O N S T R U C T I O N ............................................................................ 12.13 12.31 12.42 12.28 12.47 12.34 12.35 12.22 12.29 12.33 12.31 12.31 12.39 12.54 12.63 9.70 9.74 9.68 9.73 9.73 9.19 9.53 9.56 9.63 9.74 9.70 9.70 9.72 9.70 9.71 L um be r a nd w o o d p ro d u c ts ....................................... Fu rn iture a nd f ix t u r e s .................................................... S to n e, clay, and glass p ro du cts ............................... P rim ary m etal in du strie s .............................................. B la st furn a ce s a nd basic stee l p ro d u c ts ............ F a bricate d m etal p ro du cts ......................................... 9.74 8.03 6.84 9.57 11.47 12.98 9.40 10.10 8.22 7.17 9.84 11.68 13.34 9.70 10.15 8.30 7.29 9.87 11.61 13.32 9.71 10.22 8.29 7.32 9.91 11.77 13.43 9.76 10.34 8.35 7.38 9.95 11.84 13.44 9.91 10.27 8.30 7.36 9.96 11.81 13.48 9.85 10.29 8.36 7.31 9.94 11.96 13.81 9.85 10.30 8.33 7.35 9.93 11.99 13.80 9.88 10.28 8.32 7.36 10.00 12.00 13.82 9.84 10.28 8.37 7.39 10.04 12.02 13.86 9.85 10.26 8.43 7.46 10.04 11.94 13.88 9.88 10.27 8.36 7.44 10.06 12.06 14.08 9.84 10.22 8.40 7.46 10.07 11.85 13.83 9.82 10.30 8.42 7.50 10.10 11.95 14.01 9.87 10.28 8.37 7.49 10.08 11.93 13.95 9.87 M a ch ine ry, e xc e p t e le ctrica l ...................................... E le ctrical a nd e le ctro n ic e q u ip m e n t........................ T ra n sp o rta tio n e q u ip m e n t........................................... M o to r ve hicles a nd e q u ip m e n t............................... In stru m e n ts and re la ted p r o d u c t s ............................ M iscellan eo u s m a n u fa c tu rin g ..................................... 9.96 9.04 12.20 12.73 8.84 7.05 10.29 9.47 12.72 13.42 9.16 7.30 10.41 9.55 12.78 13.44 9.24 7.32 10.48 9.61 12.85 13.52 9.27 7.37 10.55 9.68 13.06 13.81 9.39 7.48 10.50 9.60 12.91 13.66 9.32 7.48 10.53 9.60 12.87 13.59 9.39 7.50 10.58 9.62 12.90 13.66 9.41 7.51 10.55 9.62 12.83 13.54 9.41 7.50 10.55 9.64 12.79 13.47 9.40 7.54 10.55 9.61 12.78 13.41 9.41 7.54 10.57 9.68 12.78 13.40 9.47 7.59 10.57 9.67 12.75 13.36 9.45 7.52 10.58 9.72 12.89 13.53 9.50 7.60 10.58 9.67 12.89 13.51 9.46 7.65 N o n d u r a b l e g o o d s ...................................................................... F ood and kin dred p ro d u c ts ........................................ T o b a cco m a n u fa c tu re s ................................................ T e xtile mill p ro d u c ts ...................................................... A pp a rel and o th e r te xtile p ro d u c ts .......................... P ap e r and allie d p r o d u c t s .......................................... 8.38 8.39 11.22 6 .46 5.55 10.41 8.71 8.57 11.94 6.71 5.73 10.82 8 .72 8.51 11.31 6 .76 5.74 10.91 8.79 8.61 11.97 6 .79 5.75 10.97 8.87 8.71 11.78 6.83 5.80 11.07 8.86 8.72 11.89 6.85 5.82 11.02 8.86 8.71 12.38 6.83 5.79 10.99 8.88 8.74 12.76 6.86 5.80 11.03 8.88 8.75 12.84 6.87 5.81 11.05 8.90 8.78 13.38 6.88 5.78 11.12 8.91 8.74 13.68 6.87 5.79 11.15 8.99 8.75 13.48 6.90 5.76 11.31 8.93 8.65 13.44 6.99 5.79 11.17 8.95 8.63 12.16 7.05 5.87 11.19 8.96 8.67 12.10 7.03 5.85 11.27 P rinting a nd p u b lis h in g ................................................. C h em ica ls a nd allie d p ro d u c ts .................................. P etro le um a nd co al p ro d u c ts ..................................... R ubb e r a nd m iscellan eo u s p lastics p r o d u c ts ...... L ea the r a nd le a th e r p ro du cts .................................... 9.41 11.07 13.44 8.29 5.71 9.71 11.56 14.06 8 .54 5.82 9.78 11.70 13.99 8.54 5.77 9.83 11.80 14.07 8.63 5.83 9.92 11.85 14.24 8.73 5.83 9.85 11.86 14.26 8.69 5.86 9.86 11.81 14.21 8.69 5.83 9.90 11.78 14.22 8.72 5.86 9.87 11.82 14.16 8.68 5.89 9.91 11.89 14.02 8.75 5.88 9.88 11.94 14.14 8.75 5.88 9.96 12.04 14.16 8.82 5.89 10.00 11.99 14.07 8.81 5.90 10.10 12.00 14.22 8.75 5.93 10.09 12.09 14.13 8 .76 5.91 T R A N S P O R T A T I O N A N D P U B L I C U T I L I T I E S ...... 11.12 11.40 11.48 11.59 11.61 11.59 11.64 11.62 11.55 11.54 11.57 11.61 11.61 11.72 11.72 W H O L E S A L E T R A D E ................................................................. 8.89 9.16 9.16 9.23 9.33 9.28 9.36 9.33 9.29 9.29 9.32 9.30 9.31 9.37 9.38 R E T A IL T R A D E ............................................................................... 5.85 5.94 5.95 5.97 5.99 6.03 6.04 6.03 6.01 6.00 5.99 5.97 5.97 6 .06 6.06 F I N A N C E , I N S U R A N C E , A N D R E A L E S T A T E ...... 7.63 7.94 8.01 8 .06 8.15 8.14 8.28 8.30 8.29 8.31 8.37 8.30 8.33 8.40 8.40 8.10 8.04 8.05 8.19 8.25 M A N U F A C T U R I N G ........................................................................ D u r a b le g o o d s S E R V IC E S - ................................................................................ ........................................................................................... D ata n o t available. p = pre lim in a ry Digitized for66 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 7.59 7.89 7.99 8.05 8.12 8.12 NO TE: 8.17 8.18 8.12 8.10 S ee “ N o te s on th e d a ta " fo r a d escriptio n b en ch m a rk revision. o f th e m o st re ce nt 16. Average weekly earnings of production or nonsupervisory workers on private nonagricultural payrolls by industry 1986 1985 A nn u al average Industry 1984 1985 O ct. Nov. Dec. Jan. Feb. Mar. Apr. June May July Aug. S ep t.p O ct.p P R IV A T E S E C T O R S e a so na lly a d ju s te d ................................................ C o n sta n t (1977) d o llars ............................................ $292.86 $299.09 $301.54 $301.37 $306.59 $302.58 $300.66 $302.93 $301.71 $302.58 $ 303.98 $304.15 $305.37 $307.47 $306.40 304.32 305.17 303.28 302.93 305.20 3 01.19 301.02 303.63 303.80 303.98 304.68 303.46 303.80 171.77 170.94 170.78 170.97 171.36 172.78 170.36 169.59 172.05 169.32 168.82 171.05 170.85 170.42 - M I N I N G .................................................................................................... 503.58 519.93 5 18.40 521.42 537.43 543.46 522.37 522.41 522.06 519.99 525.00 518.34 529.17 530.42 526.68 C O N S T R U C T I O N ............................................................................ 458.51 464.09 475.69 450.68 460.14 459.05 4 34.72 444.81 4 62.10 467.31 4 65.32 471.47 4 75.78 482.79 4 78.68 374.03 220.67 385.97 219.93 390.05 220.37 393.87 221.65 406.16 227.92 394.79 220.92 390.91 2 19.49 395.60 223.38 3 92.85 2 22.58 394.23 222.60 3 95.76 2 22.34 391.55 220.10 393.98 2 21.09 398.93 222.87 396.01 L um ber and w o o d p r o d u c t s ....................................... Furniture and f ix t u r e s .................................................... S tone, clay, a nd glass p r o d u c ts ............................... P rim ary m etal indu strie s .............................................. B la st furna ce s and basic steel p ro d u c ts ............ F a bricate d m etal p ro d u cts ......................................... 403.24 320.40 271.55 401.94 478.30 528.29 389.16 416.12 327.98 282.50 412.30 484.72 548.27 400.61 419.20 335.32 291.60 419.48 480.65 544.79 403.94 424.13 327.46 291.34 414.24 491.99 557.35 406.02 439.45 335.67 303.32 414.92 504.38 564.48 422.17 425.18 329.51 289.98 414.34 493.66 556.72 407.79 4 21.89 3 28.55 2 84.36 4 03.56 503.52 578.64 4 03.85 426.42 333.20 288.12 412.10 504.78 576.84 4 09.03 423.54 3 34.46 2 86.30 4 25.00 4 99.20 569.38 4 03.44 4 23.54 338.99 288.21 428.71 501.23 576.58 404.84 4 24.76 3 42.26 294.67 429.71 4 99.09 577.41 408.04 417.99 334.40 287.93 4 27.55 4 95.67 582.91 398.52 420.04 341.04 2 98.40 4 32.00 491.78 569.80 402.62 4 28.48 342.69 3 03.75 435.31 504.29 587.02 4 10.59 4 24.56 3 38.15 3 02.60 429.41 499.87 5 85.90 4 05.66 M achinery, e xce p t e lectrical ...................................... E lectrical and e le ctro n ic e q u ip m e n t........................ T ra n sp o rta tio n e q u ip m e n t............................................ M o tor ve h icle s and e q u ip m e n t............................... Instru m e n ts and related p ro du cts ........................... M iscellan eo u s m a n u fa c tu rin g ..................................... 417.32 370.64 520.94 557.57 365.09 2 77.77 427.04 384.48 541.87 583.77 375.56 287.62 430.97 387.73 545.71 585.98 376.07 2 95.00 438.06 396.89 551.27 588.12 382.85 296.27 4 52.60 4 08.50 577.25 625.59 400.01 304.44 437.85 394.56 555.13 595.58 383.05 297.70 4 37.00 3 89.76 545.69 583.01 3 84.99 294.75 442.24 395.38 552.12 592.84 389.57 299.65 4 37.83 3 92.50 542.71 574.10 385.81 297.75 437.83 393.31 537.18 567.09 382.58 297.08 4 39.94 394.01 540.59 572.61 385.81 298.58 431.26 391.07 530.37 560.12 382.59 294.49 436.54 3 95.50 531.68 555.78 384.62 294.78 4 41.19 402.41 545.25 575.03 388.55 300.20 438.01 3 96.47 540.09 566.07 384.08 3 05.24 332.69 333.92 436.46 257.75 202.02 448.67 344.92 3 42.80 4 44.17 2 66.39 2 08.57 466.34 3 47.93 3 43.80 4 44.48 276.48 211.23 472.40 351.60 346.12 435.71 279.75 2 12.75 4 77.20 359.24 354.50 4 48.82 2 83.45 2 15.18 4 90.40 352.63 347.93 448.25 278.80 213.01 479.37 347.31 339.69 453.11 274.57 207.28 472.57 352.54 344.36 478.50 278.52 211.70 477.60 351.65 346.50 469.94 278.92 211.48 474.05 354.22 352.08 504.43 282.08 210.97 479.27 355.51 350.47 523.94 283.04 213.65 480.57 356.00 350.00 483.93 278.07 209.09 486.33 358.09 352.06 486.53 290.78 211.91 4 83.66 359.79 348.65 470.59 294.69 215.43 485.65 3 57.50 345.93 4 69.48 2 91.04 2 15.28 484.61 356.64 463.83 587.33 367.04 484.36 604.58 371.64 486.72 619 .76 375.51 4 95.60 6 10.64 3 84.90 503.63 6 22.29 371.35 495.75 616.03 370.74 492.48 612 45 377.19 494.76 621.41 374.07 495.26 615.96 374.60 499.38 605.66 370.50 502.67 622.16 374.50 502.07 618.79 381.00 501.18 623.30 386.83 504.00 624.26 382.41 505.36 614.66 345.69 210.13 350.99 216.50 350.99 216.95 356.42 219.21 366.66 220.96 359.77 217.41 356.29 209.88 360.14 212.72 356.75 213.81 360.50 215.80 361.38 221.68 357.21 217.93 362.97 216.53 363.13 218.22 362.66 216.31 M A N U F A C T U R IN G C urrent d o lla r s ............................................................... C o nsta nt (1977) d o lla r s .............................................. D u r a b le g o o d s ................................................................................ N o n d u r a b le g o o d s ..................................................................... Fo od and kindred p ro d u c ts ........................................ T o ba cco m a n u fa c tu re s ................................................ T e xtile mill p ro du cts ...................................................... A pp a rel and o th e r textile p ro d u c ts .......................... P aper and allie d p ro du cts .......................................... P rinting and p u b lis h in g ................................................. C h em ica ls and allie d p ro d u c ts .................................. P etro le um and coal p ro d u c ts ..................................... R ubber and m iscellan eo u s p lastics p ro d u c ts ......................................................... Lea the r and le a th e r p ro du cts .................................... - T R A N S P O R T A T IO N A N D P U B L IC U T I L I T I E S ........................................................................................... 438.13 4 50.30 453 .46 457.81 4 60.92 452.01 456.29 457.83 450.45 450.06 455.86 457.43 457.43 458.25 454.74 W H O L E S A L E T R A D E ................................................................. 342.27 351.74 3 51.74 355.36 360.14 355.42 355.68 357.34 355.81 356.74 358.82 358.05 358.44 358.87 359.25 R E T A IL T R A D E 174.33 174.64 173.74 173.73 178.50 173.06 172.74 174.27 173.69 174.60 176.71 178.50 178.50 176.95 175.74 2 78.50 289.02 2 90.76 291.77 299.11 296.30 304.70 304.61 301.76 301.65 306.34 302.95 304.88 305.76 306.60 2 47.43 256.43 259.68 260.02 263.90 263.09 264.71 265.03 263.09 262.44 264.06 263.71 264.04 265.36 266.48 ............................................................................... F IN A N C E , IN S U R A N C E , A N D R E A L ESTATE ................................................................................................ S E R V IC E S ........................................................................................... - Data not available. p = pre lim in a ry NO TE: S ee “ N o tes on th e d a ta ” fo r a d escriptio n o f the m o st re ce n t ben chm ark revision. 17. The Hourly Earnings Index for production or nonsupervisory workers on private nonagricultural payrolls by industry S ea so na lly adjusted N ot se aso na lly adjusted Industry Sept. 1986p O ct. 1985- Aug. 1986 P R IV A T E S EC TO R (in c u r r e n t d o ll a r s ) ............................... 166.2 168.5 170.0 170.3 M in in g '........................................................................................... C o n s tr u c tio n ................................................................................ M a n ufa ctu rin g ............................................................................. T ra n spo rta tion and public u t ilit ie s ....................................... W h o lesa le tra d e 1 ....................................................................... R etail tra de ................................................................................. Finance, insurance, and real e s t a t e '................................. S e r v ic e s ........................................................................................ 178.8 151.9 169.3 167.7 169.1 156.0 173.2 170.1 181.5 151.3 172.2 169.6 171.7 157.4 179.8 •172.6 181.4 153.0 172.6 171.6 172.8 159.3 181.0 175.1 181.9 154.1 172.8 171.7 173.1 159.1 181.3 175.9 93.9 94.6 94.9 - P R I V A T E S E C T O R ( in c o n s t a n t d o l l a r s ) .................................. 1 T h is serie s is n o t se a so na lly adju sted beca use th e seaso na l co m p o n e n t Is sm all re la tive to th e tre nd -cycle , irregular co m p on en ts, or both, a nd co n se q u e n tly ca n n o t be se pa ra ted w ith s u fficie n t precision. - Data not available. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Oct. 1986p Oct. 1985 166.2 _ 150.4 169.7 167.4 June 1986 169.2 . 151.4 172.5 170.7 July 1986 Aug. 1986 168.9 169.3 _ 150.8 172.7 170.3 Sept. 1986 169.6 _ _ 151.3 172.9 170.1 151.2 172.8 170.9 O ct. 1986p 170.3 _ 152.8 173.3 171.3 - - - - - - 156.4 157.8 157.7 158.5 159.1 159.6 - - - - - - 169.9 174.3 173.4 174.3 174.4 175.7 94.0 95.2 95.1 95.1 95.0 - p = prelim inary, NO TE: S ee “ N o tes on the d a ta ” fo r a d escriptio n o f th e m o st re ce nt b en chm ark revision. 67 MONTHLY LABOR REVIEW 18. December 1986 • Current Labor Statistics: Employment Data Indexes of diffusion: industries in which employment increased, data seasonally adjusted (In p ercent) Tim e span and ye ar Jan. Feb. Mar. Apr. May June July Sept. Aug. O ct. Nov. 1-m on th span: ....................................................................................... ....................................................................................... ....................................................................................... 67.8 52.4 59.7 72.7 47.8 53.5 67.6 53.8 45.1 67.6 49.2 54.1 62.4 51.6 49.2 65.4 47.0 46.2 62.2 56.2 54.6 55.9 56.8 54.3 50.5 50.8 52.2 63.0 61.9 55.1 53.5 57.6 O ve r 1984 1985 1986 3-m o nth span: ....................................................................................... ....................................................................................... ....................................................................................... 76.5 51.1 58.1 75.1 49.7 54.3 75.9 46.2 51.1 71.4 46.2 49.7 71.6 45.1 48.4 68.1 51.4 44.9 63.2 49.7 47.3 58.1 51.1 52.7 56.8 55.1 55.1 53.5 55.9 58.1 61.4 O ver 1984 1985 1986 6 -m o nth span: ....................................................................................... ....................................................................................... ....................................................................................... 78.1 49.2 53.8 76.5 47.8 53.8 77.0 43.0 47.6 75.1 45.9 45.9 69.2 44.3 45.9 65.1 44.3 48.4 63.2 48.9 48.9 59.2 50.8 58.6 54.1 53.2 57.0 - O ve r 1984 1985 1986 12-m onth span: ....................................................................................... ....................................................................................... ....................................................................................... 81.1 46.2 50.3 78.1 45.7 51.1 72.2 46.8 51.6 72.2 43.8 51.1 68.9 44.9 67.8 47.3 65.7 47.6 62.7 48.9 59.7 47.3 54.6 49.5 51.4 48.9 48.6 48.6 - - - - - - - - - Data n ot available. NO TE: Figures a re the p e rce n t o f in du strie s w ith e m p lo ym e n t rising. (H alf o f the unch an g ed co m p o n e n ts are co u n te d as rising.) D ata are ce n te re d w ith in th e 19. 49.7 57.0 - spans. Data fo r th e 2 m o st re ce n t m o n th s sh ow n in e ach span a re prelim inary. S ee th e “ D e fin itio n s” in th is s ection. S ee “ N o tes on the d a ta ” fo r a d escriptio n of th e m o st re ce n t b e n chm ark revision. E m p loym en t status 1977 1978 1979 1980 1981 1982 1983 1984 1985 160,689 163,541 166,460 169,349 171,775 173,939 175,891 178,080 179,912 L ab or force: T o ta l (n u m b e r).............................................................. P ercen t o f p o p u la tio n ................................................ 100,665 62.6 103,882 63.5 106,559 64.0 108,544 64.1 110,315 64.2 111,872 64.3 113,226 64.4 115,241 64.7 117,167 65.1 93,673 58.3 1,656 97,679 59.7 1,631 100,421 60.3 1,597 100,907 59.6 1,604 102,042 59.4 1,645 101,194 58.2 1,668 102,510 58.3 1,676 106,702 59.9 1,697 108,856 60.5 1,706 92,017 3,283 88,734 96,048 3,387 92,661 98,824 3,347 95,477 99,303 3,364 95,938 100,397 3,368 97,030 99,526 3,401 96,125 100,834 3,383 97,450 105,005 3,321 101,685 107,150 3,179 103,971 U nem ployed: T o ta l (n u m b e r)...................................................... P ercen t o f labor f o r c e ....................................... 6,991 6.9 6,202 6.0 6,137 5.8 7,637 7.0 8,273 7.5 10,678 9.5 10,717 9.5 8,539 7.4 8 ,312 7.1 N o t in la bo r fo rce (num ber) ....................................... 60,025 59,659 59,900 60,806 6 1,460 62,067 62,665 62,839 62,744 Annual data: Employment levels by industry (N um bers in thou san ds) Industry 1977 1978 1979 1980 1981 1982 1983 1984 1985 Total e m p lo y m e n t.................................................................................... Private s e c to r ......................................................................................... G oo d s-p rod u cin g ............................................................................... M in in g .............................................................................................. C o n structio n ................................................................................. M a n u fa c tu rin g ............................................................................... 82,471 67,344 2 4,346 813 3,851 19,682 86,697 71,026 25,585 851 4,229 20,505 89,823 7 3,876 26,461 958 4,463 21,040 90,406 74,166 25,658 1,027 4,346 20,285 91,156 75,126 2 5,497 1,139 4,188 20,170 89,566 73,729 23,813 1,128 3,905 18,781 90,200 74,330 23,334 952 3,948 18,434 94,496 78,472 24,727 966 4,383 19,378 97,614 81,199 24,930 930 4,687 19,314 S e rv ic e -p ro d u c in g .............................................................................. T ra n spo rta tion and public u tilitie s .......................................... W h o lesa le tra de ........................................................................... R etail tra de ..................................................................................... Finance, insurance, and real esta te ...................................... S e r v ic e s ........................................................................................... 58,125 4,713 4,708 13,808 4,467 15,303 61,113 4,923 4,969 14,573 4,724 16,252 63,363 5,136 5,204 14,989 4,975 17,112 64,748 5,146 5,275 15,035 5,160 17,890 65,659 5,165 5,358 15,189 5,298 18,619 65,753 5,082 5,278 15,179 5,341 19,036 66,866 4,954 5,268 15,613 5,468 19,694 69,769 5,159 5,555 16,545 5,689 2 0,797 72,684 5,242 5,740 17,360 5,953 21,974 G o v e rn m e n t.................................................................................. F e d e ra l...................................................................................... S ta t e .......................................................................................... Local ......................................................................................... 15,127 2,727 3,377 9,023 15,672 2,753 3,474 9,446 15,947 2,773 3,541 9,633 16,241 2,866 3,610 9,765 16,031 2,772 3,640 9,619 15,837 2,739 3,640 9,458 15,869 2,774 3,662 9,434 16,024 2,807 3,734 9,482 16,415 2,875 3,848 9,692 NOTE: https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 54.9 55.9 " N o n institu tion a l p o p u la tio n ............................................. 20. - 53.0 60.5 - Annual data: Employment status of the noninstitutional population E m ployed: Total (num ber) ....................................................... P ercent o f pop ulatio n ......................................... R e sid en t A rm ed F o rc e s .................................. C ivilian T o ta l ................................................................... A g r ic u ltu re ...................................................... N o na g ricu ltural in d u s trie s ......................... 57.0 59.5 “ (N um b e rs in thousands) 68 Dec. O ve r 1984 1985 1986 See "Notes on the data" for a description of the most recent benchmark revision. 21. Annual data: Average hours and earnings of production or nonsupervisory workers on nonagricultural payrolls, by industry Industry 1977 1978 1979 1980 1981 1982 1983 1984 1985 36.0 5.25 189.00 35.8 5.69 203.70 35.7 6.16 219.91 35.3 6.66 235.10 35.2 7.25 2 55.20 34.8 7.68 2 67.26 35.0 8.02 280.70 35.2 8.32 2 92.86 34.9 8.57 299.09 43.4 6.94 301.20 43.4 7.67 332.88 43.0 8.49 365.07 43.3 9.17 397.06 43.7 10.04 438.75 42.7 10.77 459.88 42.5 11.28 479.40 43.3 11.63 503.58 43.4 11.98 519.93 36.5 8.10 295.65 36.8 8.66 3 18.69 37.0 9.27 342.99 37.0 9.94 367.78 36.9 10.82 3 99.26 36.7 11.63 4 26.82 37.1 11.94 4 42.97 37.8 12.13 458.51 37.7 12.31 4 64.09 40.3 5.68 228.90 40.4 6.17 249.27 40.2 6.70 269.34 39.7 7.27 288.62 39.8 7.99 318.00 38.9 8.49 330.26 40.1 8.83 354.08 40.7 9.19 374.03 40.5 9.53 385.97 39.9 6.99 2 78.90 40.0 7.57 302.80 39.9 8.16 3 25.58 39.6 8.87 3 51.25 39.4 9.70 382.18 39.0 10.32 4 02.48 39.0 10.79 420.81 39.4 11.12 4 38.13 39.5 11.40 450.30 38.8 5.39 209.13 38.8 5.88 228.14 38.8 6.39 247.93 38.5 6.96 267.96 38.5 7.56 2 91.06 38.3 8.09 309.85 38.5 8.55 329.18 38.5 8.89 342.27 38.4 9.16 3 51.74 31.6 3.85 121.66 31.0 4.20 130.20 30.6 4.53 138.62 30.2 4.88 147.38 30.1 5.25 158.03 29.9 5.48 163.85 29.8 5.74 171.05 29.8 5.85 174.33 29.4 5.94 174.64 36.4 4.54 165.26 36.4 4.89 178.00 36.2 5.27 190.77 36.2 5.79 209.60 36.3 6.31 2 29.05 36.2 6.78 2 45.44 36.2 7.29 2 63.90 36.5 7.63 278.50 36.4 7.94 2 89.02 33.0 4.65 153.45 32.8 4.99 163.67 32.7 5.36 175.27 32.6 5.85 190.71 32.6 6.41 208.97 32.6 6.92 2 25.59 32.7 7.31 239.04 32.6 7.59 247.43 32.5 7.89 256.43 P r iv a te s e c to r A verag e w e ekly h o u r s .............................. A verag e h ourly earnin g s (in d o lla r s ).............................................. A verag e w e ekly earnings (in dollars) ............................................ M in in g A verage w e ekly hours ................................................. A verag e h ourly earnin g s (in dollars) ....................................... A verag e w e ekly earnin g s (in d o lla r s )...................................... C o n s tr u c tio n A verag e w e ekly hours ......................................................... A verag e h ourly earnin g s (in d o lla r s ) ...................................... A verag e w e ekly earnin g s (in d o lla r s ) ...................................... M a n u fa c tu r in g A verage w e ekly h ours .................................................. A verag e hourly earnin g s (in dollars) ....................................... A verag e w e ekly earnin g s (in d o lla r s )................................. T r a n s p o r t a t io n a n d p u b lic u tilitie s A verage w e ekly h ours ................................................................ A verag e h ourly earnin g s (in dollars) ....................................... A verag e w e ekly earnin g s (in d o lla r s ) ...................................... W h o le s a le t r a d e A verag e w e ekly hours ................................................................. A verag e h ourly earnin g s (in dollars) ....................................... A verag e w e ekly e arnin g s (in d o lla r s )...................................... R e ta il t r a d e A verage w e ekly hours ................................................................. A verage hourly earnin g s (in dollars) ....................................... A verag e w e ekly earnin g s (in d o lla r s )...................................... F in a n c e , in s u r a n c e , a n d r e a l e s ta te A verage w e ekly h ours ......................................................... A verag e h ourly earnings (in dollars) ....................................... A verag e w e ekly earnin g s (in d o lla r s )...................................... S e r v ic e s A verage w e ekly h ours ...................................................... A verag e h ourly earnin g s (in dollars) ............................. A verag e w e ekly earnin g s (in d o lla r s )............................... https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis MONTHLY LABOR REVIEW 22. December 1986 • Current Labor Statistics: Compensation and Industrial Relations Data Employment Cost Index, compensation,1 by occupation and industry group (June 1 9 8 1 = 1 0 0 ) S eries Sept. Dec. Mar. June P ercent chan ge 1986 1985 1984 Sept. Dec. Mar. June Sept. 3 m onths ended Sept. 123.9 125.5 126.4 128.4 129.2 130.6 131.5 133.0 124.0 119.6 124.6 125.5 120.9 126.8 127.3 122.2 127.8 128.3 123.1 128.0 130.7 124.4 130.9 131.6 124.9 131.8 133.1 126.2 133.1 134.2 126.8 133.7 136.0 127.8 135.4 1.3 .8 1.3 4.1 2.7 3.4 120.4 123.3 128.8 126.9 122.0 124.8 130.9 128.6 123.9 126.2 131.9 130.1 124.6 127.2 132.6 130.3 125.5 129.7 136.4 134.2 126.0 130.6 137.1 134.8 127.7 131.9 138.8 136.8 128.7 132.8 139.4 138.0 129.3 134.6 142.4 140.6 .5 1.4 2.2 1.9 3.0 3.8 4.4 4.8 121.1 122.7 124.2 125.2 126.8 127.5 128.9 129.9 130.8 .7 3.2 122.4 119.3 123.2 123.9 120.6 125.7 125.8 121.9 126.3 127.1 122.8 126.5 128.8 124.0 128.8 129.8 124.4 129.5 131.3 125.7 130.9 132.5 126.3 131.1 133.5 127.2 132.3 .8 .7 .9 3.6 2.6 2.7 120.4 121.6 122.0 123.1 123.9 124.4 124.6 125.6 125.5 127.6 126.0 128.4 127.7 129.7 128.7 130.6 129.3 131.7 .5 .8 3.0 3.2 128.8 130.1 131.7 132.0 136.5 137.5 138.9 139.7 143.6 2.8 5.2 145.0 138.5 3.2 1.6 5.4 5.0 145.5 147.6 149.4 139.4 140.6 3.3 4.2 4.3 1.1 1.9 5.5 6.1 6.0 4.0 4.8 W orkers, by o ccu p a tio n a l group: W o rke rs, by indu stry division: W o rke rs, by o ccu p atio n al group: 129.7 125.0 131.1 125.9 132.5 128.1 132.9 128.5 137.6 131.9 138.6 132.7 140.0 134.7 140.5 136.3 129.9 130.6 132.1 127.9 126.9 131.3 132.0 133.5 129.2 128.6 132.8 133.4 134.4 131.1 130.1 133.2 133.7 134.6 131.5 130.3 137.9 139.1 140.9 134.1 134.2 139.1 140.3 142.0 135.2 134.8 140.4 141.5 143.0 136.8 136.8 140.8 141.7 143.2 137.9 138.0 W orke rs, by indu stry division: 1 C o st (ce n ts per hour w orke d) m easured in th e E m p loym en t C o st Index c o n sists o f w ages, salaries, a nd e m p lo ye r co st o f em p loye e benefits. 2 C onsist o f private indu stry w o rke rs (excluding farm and h ou se h o ld w orke rs) Digitized for70 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 3.6 122.4 W o rke rs, by indu stry division: E le m e r 'ir y and s e c o n d a ry .................................................. 1986 1.1 W orke rs, by o ccu p a tio n a l group: N o n m an u fa cturin g ............................................................................. 12 m onths e nded C o n sists o f legislative, judicial, adm inistrative , and re g ula tory Includes, fo r exam ple, library, social, and health services. activities. 23. Employment Cost Index, wages and salaries, by occupation and industry group (June 1 9 8 1 = 1 0 0 ) 1984 1985 1986 P ercent chan ge S eries Sept. Dec. Mar. June Sept. Dec. Mar. June Sept. 3 m onths e nded Sept. 12 m o n th s e nded 1986 C i v i l i a n w o r k e r s 1 ..................................................................................................... 120.3 121.7 123.1 124.2 126.3 127.0 128.3 129.3 130.7 1.1 3.5 W orke rs, by o ccu p a tio n a l group: W h ite -co lla r w o rke rs ........................................................................ B lu e-co lla r w o rk e rs ............................................................................ S ervice o c c u p a tio n s ......................................................................... 132.2 117.0 122.3 123.5 118.2 124.3 125.2 119.3 124.8 126.4 120.5 125.3 128.8 122.0 128.0 129.8 122.3 128.6 131.2 123.4 129.8 132.4 124.1 130.0 134.1 125.0 131.7 1.3 .7 1.3 4.1 2.5 2.9 W o rke rs, by indu stry division M an ufa ctu rin g ..................................................................................... N o nm an u fa cturin g ............................................................................. S ervices ............................................................................................. P ublic a d m inistratio n 2 ................................................................. 118.0 121.3 127.2 124.4 119.5 122.6 128.9 125.7 121.0 123.9 129.7 127.0 122.3 125.0 130.5 127.2 123.2 127.6 134.2 131.4 123.8 128.4 134.8 132.0 125.3 129.6 136.4 133.8 126.5 130.4 137.0 134.6 127.2 132.2 139.9 137.5 .6 1.4 2.1 2.2 3.2 3.6 4.2 4.6 P r i v a t e i n d u s t r y w o r k e r s ........................................................................... 119.2 120.6 122.0 123.3 124.9 125.6 126.8 127.9 128.8 .7 3.1 120.9 125.2 122.3 127.3 124.0 127.7 125.5 128.7 127.3 131.2 128.3 131.5 129.6 132.7 131.1 134.0 132.0 135.4 .7 1.0 3.7 3.2 121.0 110.5 122.2 111.6 123.8 116.3 126.5 117.4 127.7 119.3 128.4 122.5 130.5 122.4 132.1 124.3 132.4 125.2 .2 .7 3.7 4.9 W orkers, by o ccu p a tio n a l group: W h ite -co lla r w o r k e r s .................................................................. P rofe ssio na l sp ecia lty and te ch n ica l o c c u p a tio n s ....... E xecutive, adm inistrative , and m anagerial o ccu p a tio n s .......................................................................... S ales o c c u p a tio n s .................................................................... A d m in istra tive su pp ort occup atio n s, including cle rica l ..................................................................................... 122.0 122.9 124.7 125.6 127.1 127.9 129.6 130.8 131.7 .7 3.6 116.7 118.0 119.1 120.3 121.7 122.0 123.1 123.7 124.5 .6 2.3 118.0 116.6 113.4 119.4 117.9 114.0 120.8 118.9 114.5 122.0 120.1 115.7 123.7 121.1 117.7 123.8 121.6 117.8 125.3 122.6 118.0 125.7 123.6 118.9 126.7 124.1 119.8 .8 .4 .8 2.4 2.5 1.8 114.7 121.2 115.9 123.7 116.7 123.8 118.5 124.4 118.6 126.3 119.8 126.6 120.0 128.0 120.3 128.0 120.9 128.9 .5 .7 1.9 2.1 W orke rs, by indu stry division: M a n u fa c tu rin g ............................................................................... D u ra b le s ...................................................................................... N o n d u ra b le s ............................................................................... 118.0 117.7 118.6 119.5 119.1 120.2 121.0 120.6 121.6 122.3 122.0 122.6 123.2 122.7 124.0 123.8 123.4 124.6 125.3 124.8 126.1 126.5 125.8 127.9 127.2 126.4 128.5 .6 .5 .5 3.2 3.0 3.6 N o n m a n u fa c tu rin g ....................................................................... C o n s tru c tio n ............................................................................... T ra n spo rta tion and pub lic u tilit ie s ...................................... W h o lesa le a nd retail t r a d e ................................................... W h o lesa le tra de .................................................................... R etail tr a d e .............................................................................. Finance, insurance, a nd real e s ta t e ................................. S e r v ic e s ....................................................................................... 119.9 114.3 119.9 116.5 120.7 114.9 115.3 127.1 121.2 114.4 120.7 118.1 122.9 116.2 115.8 129.5 122.6 115.5 121.7 118.8 123.7 116.9 122.0 129.9 123.9 116.6 122.8 121.1 126.8 118.9 121.7 131.0 125.9 117.3 124.8 122.7 127.7 120.8 124.1 133.9 126.6 117.9 125.2 123.7 128.3 121.9 126.5 134.1 127.7 118.3 126.3 124.5 129.7 122.5 126.6 136.2 128.7 119.8 126.6 125.8 131.2 123.7 128.0 136.9 129.7 120.5 127.3 126.5 131.8 124.4 129.0 138.2 .8 .6 .6 .6 .5 .6 .8 .9 3.0 2.7 2.0 3.1 3.2 3.0 3.9 3.2 S t a t e a n d l o c a l g o v e r n m e n t w o r k e r s ............................................ 126.1 127.1 128.4 128.7 133.2 134.2 135.5 136.0 140.4 3.2 5.4 127.1 121.9 128.0 122.5 129.3 124.2 129.6 124.5 134.3 127.9 135.3 128.4 136.6 130.4 137.0 131.9 141.8 134.5 3.5 2.0 5.6 5.2 127.2 127.8 129.3 125.1 124.4 128.1 128.7 130.2 125.9 125.7 129.4 129.9 130.8 127.7 127.0 129.7 130.2 131.1 128.0 127.2 134.5 135.8 137.5 130.2 131.4 135.6 137.0 138.5 130.9 132.0 136.8 138.0 139.4 132.4 133.8 137.1 138.2 139.4 133.3 134.6 142.1 144.1 145.7 135.8 137.5 3.6 4.3 4.5 1.9 2.2 5.7 6.1 6.0 4.3 4.6 B lu e-co lla r w o r k e r s ..................................................................... P recision pro du ction , craft, a nd repair o ccu p a tio n s ........................................................................... M a ch ine ope ra tors, a ssem blers, and in s p e c to r s ......... T ra n sp o rta tio n a nd m aterial m oving o c c u p a tio n s ........ H andlers, equ ip m e nt cleaners, helpers, and la bo re rs ................................................................................... S e rvice o c c u p a tio n s .................................................................. W orke rs, by o ccu p a tio n a l group W h ite -co lla r w o r k e r s .................................................................. B lu e-co lla r w o r k e r s ..................................................................... W orke rs, by industry division S ervices ......................................................................................... S c h o o ls ........................................................................................ E le m en tary and s e c o n d a ry ............................................... H o spita ls and o th e r se rvice s 3 ............................................ P ublic a d m inistratio n 2 ............................................................... 1 C o nsists o f priva te indu stry w o rke rs (e xcluding farm and hou seh o ld w orke rs) a nd S ta te and lo cal g o ve rn m e n t (e xcluding Federal G o ve rn m e nt) w orke rs. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 2 C o nsists o f legislative, judicial, adm inistrative , and re g ula tory 3 Includes, fo r exam ple, library, so cial a nd hea lth services. activities, MONTHLY LABOR REVIEW December 1986 • Current Labor Statistics: Compensation and Industrial Relations Data 24. Employment Cost Index, private nonfarm workers, by bargaining status, region, and area size (June 1 9 8 1 = 1 0 0 ) P ercent chan ge 1986 1985 1984 Sept. Dec. Mar. June Sept. Dec. Mar. June 12 m o n th s e nded 3 m onths e nded S eries Sept. Sept. 1986 C O M P E N S A T IO N W o r k e r s , b y b a r g a in in g s t a t u s 1 122.6 121.6 123.6 123.9 123.2 124.5 124.8 124.2 125.3 125.5 124.2 126.6 126.5 125.0 127.8 127.1 125.5 128.6 128.4 127.0 129.7 128.7 126.9 130.4 129.4 127.5 131.2 0.5 .5 .6 2.3 2.0 2.7 120.3 119.3 120.7 121.9 120.8 122.4 123.8 123.6 123.9 125.0 124.8 125.1 126.8 125.7 127.3 127.5 126.3 128.1 129.0 128.1 129.5 130.2 129.7 130.4 131.2 130.4 131.6 .8 .5 .9 3.5 3.7 3.4 122.4 120.7 119.7 122.5 123.8 122.2 120.8 124.9 125.1 124.2 122.0 126.8 126.4 125.2 122.7 127.9 128.8 126.5 124.2 129.1 129.9 127.2 124.6 129.8 131.6 128.7 125.9 130.8 133.3 129.6 126.2 131.6 134.2 130.7 127.3 132.1 .7 .8 .9 .4 4.2 3.3 2.5 2.3 121.5 119.0 123.2 119.8 124.7 121.4 125.7 122.5 127.3 123.9 128.1 123.9 129.5 125.5 130.5 126.4 131.4 127.2 .7 .6 3.2 2.7 119.8 118.1 121.3 120.9 119.5 122.1 121.7 120.4 122.8 123.0 121.7 124.1 124.1 122.8 125.3 124.7 123.3 125.9 125.6 124.2 126.9 126.1 124.6 127.4 126.9 125.0 128.5 .6 .3 .9 2.3 1.8 2.6 118.8 117.9 119.2 120.4 119.5 120.7 122.1 121.5 122.3 123.4 122.8 123.6 125.2 123.7 125.9 125.9 124.4 126.6 127.3 126.1 127.8 128.5 127.7 128.9 129.4 128.5 129.8 .7 .6 .7 3.4 3.9 3.1 120.5 119.0 117.8 120.0 121.9 120.2 118.7 122.5 123.0 122.3 119.6 124.0 124.6 123.4 121.1 125.1 126.8 124.8 122.5 126.6 128.1 125.4 122.9 127.1 129.2 126.8 124.2 128.1 131.3 127.8 124.4 128.9 132.3 128.8 125.3 129.3 .8 .8 .7 .3 4.3 3.2 2.3 2.1 119.5 117.5 121.0 118.3 122.4 119.6 123.8 120.6 125.5 121.9 126.3 122.0 127.4 123.6 128.5 124.5 129.4 125.0 .7 .4 3.1 2.5 W o r k e r s , b y r e g io n 1 W o r k e r s , b y a r e a s iz e 1 W A G E S A N D S A L A R IE S W o r k e r s , b y b a r g a in in g s ta tu s 1 M anufa ctu rin g ..................................................................................... W o r k e r s , b y r e g io n 1 W o rk e rs , b y a re a s iz e 1 1 T h e in dexes are ca lcu la te d d iffe re n tly fro m th o se fo r th e o ccu p a tio n a nd in du stry groups. Fo r a d eta ile d d escriptio n o f the in de x ca lculatio n , see th e Digitized for72 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis L a b o r R e v ie w T e chn ica l E m p loym en t C o st Ind e x,” M ay 1982. M o n th ly N ote, “ E stim a tion p ro ced ures fo r the 25. Specified compensation and wage adjustments from contract settlements, and effective wage adjustments, private industry collective bargaining situations covering 1,000 workers or more (in percent) A nnual average Q ua rte rly averag e M easure 1984 1984 1985 1986 1985 IV I II III IV F IF IIIP S p e c ifie d a d ju s tm e n ts : T o ta l co m p en satio n 1 a d ju s tm e n ts ,2 se ttle m e n ts co vering 5 ,000 w o rke rs o r more: First ye ar o f c o n t r a c t ..................................................... A nn u al rate o ver life o f c o n t r a c t ............................... 3.6 2.8 2.6 2.7 3.7 2.0 3.6 2.7 3.5 3.4 2.0 3.0 2.0 1.4 0.4 1.2 0.7 1.6 1.9 1.9 W age adju stm e nts, s e ttle m e n ts co vering 1,000 w o rke rs o r more: First ye ar o f c o n t r a c t ..................................................... A nn u al rate o ver life o f c o n t r a c t ............................... 2.4 2.4 2.3 2.7 2.3 1.5 3.3 3.2 2.5 2.8 2.0 3.1 2.1 1.9 .9 1.5 1.3 2.0 16 2.0 3.7 .8 3.3 .7 .7 .3 .7 .1 .8 .2 1.2 .2 .5 .1 .6 .0 .7 .2 6 1 2.0 .9 1.8 .7 .2 .2 .6 .1 .5 .1 .5 .4 .2 .1 .4 .2 .6 .0 5 .0 E f f e c t iv e a d ju s tm e n ts : T o ta l e ffe ctive w age a d ju s tm e n t3 ............................... From s e ttle m e n ts rea che d in period ....................... D eferred fro m s e ttle m e n ts rea che d in earlier p e r io d s ............................................................................... From co st-o f-livin g-ad ju stm en ts c la u s e s ................ 1 C o m p en sa tion includes w ages, salaries, and e m p lo ye rs’ c o s t o f em p loye e b e n e fits w h en c o n tra ct is neg otia ted . 2 A dju stm e n ts are th e n e t re su lt o f increases, decrea ses, and no ch an ge s in co m p en satio n o r w ages. 3 B eca u se o f rounding to ta l m ay n o t e qual sum o f parts. p = prelim inary. 26. Average specified compensation and wage adjustments, major collective bargaining settlements in private industry situations covering 1,000 workers or more during 4-quarter periods (in percent) A verag e fo r fo u r q ua rte rs e n d in g M easure 1984 1985 IV I II 1986 III IV IP IIP IMP S pe cifie d to ta l co m p en satio n a djustm ents, s e ttle m e n ts co vering 5,000 w o rke rs o r more, all industries: First ye ar o f c o n t r a c t ............................................................................................. A nn u al rate o ve r life o f c o n t r a c t ....................................................................... 3.6 2.8 3.4 2.6 3.4 2.7 3.1 2.7 2.6 2.7 2.3 2.6 1.4 2.0 1.4 1.6 2.4 2.9 2.1 2.4 1.8 2.7 2.4 2.5 2.4 2.3 1.3 2.8 2.4 2.3 2.4 2.4 1.5 2.8 2.4 1.9 2.7 2.5 1.8 3.0 2.3 1.6 2.7 2.7 2.5 2.8 2.0 1.6 2.2 2.5 2.5 2.5 1.6 1.8 1.5 2.2 2.6 2.1 1.5 2.2 1.2 1.9 2.1 1.8 2.3 2.1 2.9 1.5 1.0 3.3 2.1 2.0 2.5 1.4 .9 3.2 2.0 1.9 2.2 1.5 1.0 3.0 1.5 1.5 1.5 1.6 1.4 2.4 .8 .8 .9 1.8 2.1 1.6 .8 .8 .9 1.8 2.1 1.5 .1 .7 -.4 1.4 2.0 .9 -.1 1.1 -.8 .8 1.2 .6 2.5 5.5 2.0 2.9 4.8 2.6 2.6 5.1 2.4 2.8 4.0 2.7 2.7 4.3 2.5 2.9 3.8 2.8 3.2 4.0 3.0 3.3 3.9 3.2 3.3 3.6 3.3 3.3 3.6 3.3 2.8 3.5 2.7 3.0 3.6 2.9 2.6 3.5 2.4 2.8 3.4 2.7 2.1 2.7 1.9 2.3 2.5 2.2 .5 4.0 .4 1.0 1.4 1.0 .9 4.6 .8 1.4 1.7 1.4 1.1 9.2 1.0 1.7 4.6 1.7 1.7 2.4 .9 2.4 2.6 1.4 2.6 2.4 1.4 2.5 2.6 1.8 2.7 S pe cifie d w a ge adju stm e nts, s e ttle m e n ts co vering 1,000 w o rke rs or more: A ll industries First ye ar o f co n tra ct ......................................................................................... C o n tracts w ith C O LA c la u s e s ...................................................................... C o n tra cts w ith o u t C O LA cla use s ............................................................... A nn u al rate o ve r life o f c o n t r a c t .................................................................... C o n tra cts w ith C O LA c la u s e s ...................................................................... C o n tra cts w ith o u t C O LA cla use s ............................................................... M anufacturing First ye ar o f c o n t r a c t ......................................................................................... C o n tra cts w ith C O LA c la u s e s ...................................................................... C o n tracts w ith o u t C O LA cla use s ............................................................... A nnual rate o ver life o f c o n t r a c t .................................................................... C o n tra cts w ith C O LA c la u s e s ...................................................................... C o ntracts w ith ou t C O LA cla use s ............................................................... N onm an u fa cturin g First year o f co n tra c t ......................................................................................... C o n tracts w ith C O LA c la u s e s ...................................................................... C o n tracts w ith ou t C O LA cla use s ............................................................... A nnual rate o ver life o f c o n t r a c t .................................................................... C o n tra cts w ith C O LA c la u s e s ...................................................................... C o ntracts w ith ou t C O LA cla use s ............................................................... C o nstructio n First ye ar o f c o n t r a c t ......................................................................................... C o n tra cts w ith C O LA c la u s e s .................................................................... C o n tra c ts w ith o u t C O LA clauses ............................................................... A nnual rate o ve r life o f c o n t r a c t .................................................................... C o n tracts w ith C O LA c la u s e s ..................................................... C o n tra cts w ith o u t C O LA cla use s ............................................................... 1 D ata d o n o t m eet p ub lica tio n standards. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis p 1.0 1.5 (') (’ ) O (') (1) (1) 1.7 (’ ) 0 2.1 O (1) 2.2 (’ ) O = prelim inary. 73 MONTHLY LABOR REVIEW December 1986 • Current Labor Statistics: Compensation and Industrial Relations Data 27. Average effective wage adjustments, private industry collective bargaining situations covering 1,000 workers or more during 4-quarter periods (in percent) A verag e fo r fo u r q ua rte rs ending-E ffe ctive w age a d ju stm e nt 1985 1986 I II III IV lp llp lllp 3.6 .7 2.2 .7 3.5 .9 1.9 .7 3.5 .9 1.8 .8 3.3 .7 1.8 .7 3.1 .6 1.7 .8 2.9 .5 1.8 .7 2.3 .5 1.6 .2 4.5 2.9 4.2 2.3 4.2 2.9 3.9 2.3 4.3 2.8 3.7 2.8 4.1 3.4 3.7 2.2 4.0 2.9 3.5 2.5 3.8 2.5 3.4 2.0 3.1 1.7 3.8 1.0 F o r a ll w o r k e r s : ’ T o t a l............................................................................................................................. From s e ttle m e n ts re a che d in period ............................................................ D eferred fro m s e ttle m e n ts rea che d in e arlie r period ............................. From c o st-of-livin g-ad ju stm en ts c la u s e s ..................................................... F o r w o r k e r s re c e iv in g c h a n g e s : T o t a l............................................................................................................................. From s e ttle m e n ts rea che d in period ............................................................ D eferred fro m s e ttle m e n ts rea che d in earlie r period ............................. From c o st-of-livin g-ad ju stm en ts c la u s e s ..................................................... 1 B ecause o f rounding to ta l m ay not e qual sum o f parts. p = prelim inary. 28. Specified compensation and wage adjustments from contract settlements, and effective wage adjustments, State and local government collective bargaining situations covering 1,000 workers or more (in percent) A nn u al average First 6 m o n th s 1986p M easure 1984 1985 5.2 5.4 4.2 5.1 6.7 6.4 4.8 5.1 4.6 5.4 6.1 6.0 5.0 1.9 3.1 5.7 4.1 1.6 1.8 .6 1.2 (4) (4) (4) S pe cifie d a djustm ents: Total co m p en satio n ’ adju stm e nts, 2 s e ttle m e n ts co vering 5,000 w o rke rs o r more: W age adju stm e nts, s e ttle m e n ts co vering 1,000 w o rke rs o r more: E ffe ctive a djustm ents: 3 B eca u se o f rounding, to ta l m ay n o t equal sum o f parts. 4 Less tha n 0 .05 percent. p = prelim inary. 1 C o m p en sa tion in clu de s w ages, salaries, and e m p lo ye rs’ co st o f em p loye e b e n e fits w h en co n tra c t is negotiated. 2 A dju stm e n ts are the net re su lt o f increases, decrea ses, a nd no ch an ge s in co m p en satio n o r wages. 29. Work stoppages involving 1,000 workers or more 1986 1985 A nn u al to ta ls M easure 1984 1985 Nov. O ct. Jan. Dec. Apr. Mar. Feb. Ju ne p Mayp July*1 A ug .p S ep t.p O ct.p N u m b er o f stoppages: 10 22 198.0 46.7 113.3 37.9 44.3 144.8 85.2 107.7 54 61 6 20 3 13 2 9 4 7 3 7 2 8 4 8 6 10 11 15 376.0 323.9 76.6 26.2 8.2 7.6 24.0 11.2 6.1 28.6 W o rke rs in volved: B eginning in period (in In e ffe ct during period (in 7 17 391.0 584.1 119.3 47.0 38.0 12.0 28.4 38.6 17.6 41.2 205.9 66.3 8,499.0 7,079.0 1,428.8 688.2 661.9 170.0 309.5 367.5 297.3 303.6 3,684.3 894.5 1,612.1 1,208.5 1,420.6 .04 .03 .06 .04 .03 .01 .02 .02 .02 .02 .07 .04 .07 .06 .06 Days idle: P ercent of estim a te d w orking 1 A gricultural and g o ve rn m e nt e m p loye e s are in cluded in the to ta l em p loye d and tota l w o rkin g tim e: private household, forestry, a nd fish ery e m p loye e s a re exclud e d. A n expla n atio n o f the m ea sure m e n t o f id leness as a p e rcen tag e o f the to ta l tim e w o rke d is https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 5 17 13 22 62 68 fou n d in ‘“ T o ta l e co n o m y’ m easure o f strike id le n e ss," M o n th ly L a b o r R e v ie w , O cto b e r 1968, pp. 54-56. p = prelim inary 30. Consumer Price Index for All Urban Consumers: U.S. city average, by expenditure category and commodity or service group; and CPI for Urban Wage Earners and Clerical Workers, all items (1967 = 100, unless o th e rw ise indicated) A nnual 1985 1986 S eries O ct. Nov. Dec. Jan. Feb. Mar. Apr. M ay June July Aug. Sept. O ct. 322.2 374.7 325.5 378.5 326.6 379.9 327.4 380.8 328.4 3 81 .S 327.5 380.8 326.0 379.1 325.3 378.3 326.3 379.5 327.9 381.4 328.0 381.4 328.6 382.1 330.2 384.1 330.5 384.4 295.1 302.9 292.6 305.3 266.6 263.2 317.4 362.2 389.1 288.0 443.0 284.9 333.4 222.1 302.0 309.8 296.8 317.0 263.4 258.0 325.7 361.1 398.8 294.4 451.7 294.2 346.6 229.5 302.5 309.8 295.3 318.9 261.1 257.1 317.1 363.0 402.6 291.2 454.1 296.8 350.3 236.4 303.6 311.0 296.6 319.9 266.1 257.1 314.3 362.2 401.4 292.1 451.7 296.8 351.3 236.2 305.6 313.2 299.3 321.9 269.9 256.9 323.9 361.3 402.2 290.3 448.8 297.3 352.1 236.2 307.9 315.6 302.5 322.0 271.5 257.2 334.4 365.7 405.1 292.1 459.7 298.0 353.1 237.5 307.7 315.3 301.5 322.5 268.4 257.3 320.7 375.1 408.6 291.4 485.3 299.5 354.2 238.3 307.8 315.4 301.2 322.7 267.7 256.8 319.2 375.7 408.4 290.2 488.0 299.3 355.5 238.8 308.5 316.1 301.5 322.5 264.2 256.8 329.5 376.1 411.4 288.5 487.4 300.2 357.0 239.5 309.4 317.0 302.1 323.8 263.4 257.1 336.5 374.6 411.2 287.2 481.9 301.4 358.8 239.4 309.5 317.1 301.6 326.1 265.1 257.2 327.8 374.1 411.5 287.0 480.0 301.7 360.2 240.1 312.2 320.1 305.5 326.3 274.9 258.4 330.3 373.7 412.4 287.3 478.3 301.8 360.8 240.4 314.6 322.7 308.9 328.2 283.0 258.3 332.1 374.0 413.1 287.8 476.9 303.2 361.8 240.1 315.1 323.2 309.0 328.5 284.7 258.5 329.1 373.7 413.7 285.6 475.7 303.8 363.3 240.4 315.6 323.7 309.5 328.4 284.9 260.0 328.6 374.4 413.4 284.6 477.5 304.7 364.0 240.6 336.5 361.7 108.6 249.3 373.4 107.3 107.3 107.5 359.2 409.7 262.7 387.3 485.5 641.8 445.2 230.2 242.5 199.1 303.2 327.5 349.9 382.0 115.4 264.6 398.4 113.1 113.2 112.4 368.9 421.1 269.6 393.6 488.1 619.5 452.7 240.7 247.2 200.1 313.6 338.9 354.4 389.1 117.9 269.9 412.5 115.1 115.1 114.6 368.5 422.2 268.0 395.6 488.4 615.3 453.9 244.7 248.4 200.3 315.7 342.2 355.0 391.3 118.4 271.7 408.7 115.8 115.9 114.5 372.7 426.4 271.5 392.1 481.5 641.6 440.5 245.9 248.9 200.8 316.4 342.7 355.8 392.3 118.3 272.4 398.1 116.3 116.3 115.0 373.7 426.2 273.3 393.3 483.6 657.3 439.9 245.8 248.8 200.1 317.7 343.2 356.8 393.8 118.8 273.4 401.1 116.7 116.7 115.7 379.1 432.6 277.1 394.6 484.7 650.3 442.6 247.3 248.8 199.8 318.3 343.9 356.5 394.8 119.0 273.7 404.1 117.0 117.0 117.4 379.6 432.8 277.8 390.0 476.3 591.2 444.5 247.9 249.0 199.7 318.6 344.5 357.0 397.0 119.6 275.0 405.5 117.9 117.9 118.0 367.5 422.4 266.1 385.5 467.6 549.9 442.3 249.0 249.8 201.0 317.9 345.1 358.0 400.1 120.9 277.9 410.8 118.7 118.7 118.3 367.6 424.6 264.5 381.8 459.6 518.3 439.2 251.3 249.6 200.4 318.5 345.4 358.5 400.9 121.1 278.4 411.3 118.9 118.9 118.8 367.1 425.5 262.9 382.5 460.6 496.8 444.6 251.5 249.9 200.8 318.3 345.8 361.2 401.6 121.6 279.4 415.2 119.0 119.0 118.9 366.6 427.4 260.7 393.8 477.0 486.6 466.0 255.2 250.2 200.8 319.6 346.1 361.5 403.5 122.5 281.2 420.1 119.4 119.4 119.9 369.2 430.1 262.7 389.4 469.2 459.4 462.3 255.6 250.5 201.2 319.5 346.6 362.4 405.2 122.9 281.7 425.7 119.9 119.9 119.9 376.4 434.2 271.3 389.5 469.0 447.3 464.5 255.9 250.5 200.9 319.8 347.4 363.7 407.6 123.6 283.2 429.1 120.7 120.7 120.2 376.2 437.0 268.7 388.3 467.2 453.5 461.1 255.6 251.5 202.2 320.1 347.8 363.0 409.5 124.0 284.6 427.3 121.3 121.3 120.6 379.0 437.5 273.0 379.1 450.3 451.9 441.4 257.1 251.6 202.2 319.8 348.5 A pp a rel and u p k e e p ............................................ A pp a rel co m m o dities ............................................ Men s and b o ys’ a p p a r e l........................................ W om en s and g irls’ apparel .............................................. In fa n ts’ and to d d le rs' a p p a r e l........................................... F o o tw e a r.............................................................. O the r a pparel c o m m o d itie s ........................................... A pp a rel s e rv ic e s ............................................... 200.2 187.0 192.4 163.6 287.0 209.5 216.4 305.0 206.0 191.6 197.9 169.5 299.7 212.1 215.5 320.9 211.1 196.7 203.2 177.9 302.1 212.3 214.9 325.7 211.2 196.8 203.6 176.5 307.0 215.5 214.9 326.3 209.0 194.2 202.0 172.6 304.1 213.1 214.6 326.9 205.0 189.5 198.6 164.4 313.9 209.1 215.5 329.8 204.1 188.5 196.8 163.4 311.6 207.9 216.1 330.7 206.3 190.8 198.3 167.6 313.1 210.1 214.6 331.5 207.3 191.7 199.7 168.0 316.6 211.4 215.3 332.9 206.4 190.7 200.2 164.9 318.5 211.5 215.4 333.6 204.5 188.4 198.1 161.3 319.7 210.0 215.8 334.3 203.2 187.0 195.8 159.8 307.5 209.1 218.1 334.6 207.0 191.2 197.8 167.2 310.6 209.6 221.6 334.7 212.1 196.6 203.2 175.7 309.7 212.0 221.1 336.7 213 .2 197.6 204.3 176.4 312.0 215.1 219.8 338.3 T ra n spo rta tion ......................................................... P rivate tra n s p o rta tio n ................................................................................. N e w v e h ic le s .............................................................................................. N e w c a r s .................................................................................................. Used c a r s ................................................................................................... M o to r f u e l ................................................................................................... G a s o lin e ............................................ M a in ten an ce and r e p a ir .................................. O th e r priva te tra n s p o rta tio n ....................................... O the r private tra nsp o rtatio n c o m m o d itie s ................................... O th e r private tra nsp o rtatio n s e rv ic e s ............................................. Public tra n s p o rta tio n .............................................. 311.7 306.6 208.0 208.5 375.7 370.7 370.2 341.5 273.3 201.5 295.0 385.2 319.9 314.2 214.9 215.2 379.7 373.8 373.3 351.4 287.6 202.6 312.8 402.8 320.9 314.7 215.9 216.2 375.3 374.6 374.2 355.7 289.6 202.8 315.4 411.5 323.2 317.0 218.2 218.4 376.4 376.7 376.1 355.8 293.9 201.6 321.2 412.8 324.0 317.8 219.2 219.4 375.6 377.5 376.8 357.5 295.2 202.1 322.7 4.12.9 323.9 317.3 219.7 219.9 374.1 373.3 372.5 357.9 297.7 203.4 325.5 419.6 319.2 312.2 220.2 220.4 370.7 351.5 350.8 358.9 299.2 202.9 327.6 422.2 309.6 302.1 220.1 220.3 367.2 308.5 307.7 359.3 301.5 203.6 330.3 421.2 303.3 295.3 221.0 221.2 364.8 279.5 278.6 360.6 301.6 202.2 330.9 422.2 305.7 297.8 222.8 223.0 363.6 289.3 288.7 361.3 301.3 202.4 330.4 423.7 308.6 300.8 224.0 224.2 362.5 299.4 299.1 362.1 303.0 201.5 332.8 425.4 304.7 296.5 224.5 224.7 360.3 280.2 279.8 363.4 304.5 201.6 334.6 428.0 301.3 292.8 224.5 224.7 358.0 265.9 265.3 364.3 304.5 201.8 334.6 428.0 302.2 293.7 224.2 224.5 359.5 271.1 270.6 365.0 302.3 200.3 332.3 428.5 302.6 294.1 226.7 227.1 360.6 263.2 262.6 365.7 307.6 198.9 339.3 428.7 M edical c a r e .............................................. M edical care co m m o dities .................................... M edical care s e rv ic e s ......................................... P rofessional se rvices ....................................... O the r m edical ca re s e rv ic e s ....................................... 379.5 239.7 410.3 346.1 488.0 403.1 256.7 435.1 367.3 517.0 410.5 261.3 443.0 373.2 527.4 413.0 262.7 445.8 375.5 530.8 414.7 262.9 448.0 377.1 533.6 418.2 264.5 451.9 378.9 540.3 422.3 267.4 456.2 381.6 546.4 425.8 269.4 460.1 385.0 550.8 428.0 271.3 462.3 386.9 553.5 429.7 272.3 464.2 388.3 555.9 432.0 273.3 466.8 390.3 559.2 434.8 275.4 469.8 391.7 564.2 437.5 276.0 473.0 393.3 569.4 439.7 276.7 475.7 396.1 571.9 442.3 277.5 478.8 398.0 576.4 E nte rtainm en t ...................................................... E nte rtainm en t co m m o dities ..................................................................... E n te rtainm en t s e rv ic e s .......................... 255.1 253.3 258.3 265.0 260.6 271.8 268.4 264.0 275.2 269.0 264.0 276.6 268.3 262.5 277.1 270.8 264.7 279.9 272.0 265.2 282.1 271.9 265.0 282.2 272.3 264.8 283.5 272.9 265.3 284.2 273.9 266.1 285.5 274.4 265.8 287.0 274.7 266.1 287.3 275.3 265.9 289.2 276.5 266.7 290.8 O th e r goo ds and se rvice s ...................................... T o b a cco p ro du cts .............................................. P ersonal c a r e ............................................ T o ile t goo ds and personal care a p p lia n c e s ................................... P ersonal care se rvice s ................................... P ersonal and edu catio n al e x p e n s e s ..................................... S cho o l b o o ks and s u p p lie s .......................................... P ersonal and edu catio n al s e r v ic e s ....................... 307.7 310.0 271.4 269.6 274 1 365 7 322 8 375 6 326.6 328.5 281.9 278.5 286.0 397.1 350.8 407.7 334.9 334.4 285.0 281.4 289.2 414.7 364.5 426.2 335.3 334.7 285.4 281.1 290.2 415.4 364.7 426.9 336.5 337.4 286.3 282.5 290.6 . 339.1 342.7 288.1 285.3 291.8 416.8 371.0 427.6 340.3 344.7 289.1 286.0 293.0 417.7 373.8 428.1 341.1 345.6 290.3 287.3 294.0 341.8 346.5 290.5 287.7 294.1 418.9 374.4 429.5 342.1 346.5 290.9 287.9 294.7 342.6 347.1 291.0 287.0 295.7 420.4 375.7 431.0 344.9 354.3 291.1 287.1 295.8 346.4 356.2 292.3 289.1 296.2 422.9 376.9 433.7 353.3 356.8 292.0 288.2 296.5 445.2 389.4 457.8 354.6 357.2 293.1 289.9 297.1 1984 1985 A ll it e m s ............................................................................................................... All ite m s (1 9 5 7 - 5 9 = 1 0 0 ) ............................................................................... 311.1 361.9 Food a nd b e v e ra g e s ................................................................................... F o o d ................................................................................................................ Fo od at h o m e .......................................................................................... C ereals and b akery p ro d u c ts .......................................................... M eats, poultry, fish, and e g g s .......................................................... Dairy p r o d u c ts ....................................................................................... Fruits and v e g e ta b le s .......................................................................... O th e r fo o d s at h o m e ........................................................................... S ugar and s w e e t s .............................................................................. Fats and o ils ........................................................................................ N o n a lco h o lic b e v e ra g e s .................................................................. O the r p repared f o o d s ....................................................................... Food aw ay fro m hom e .......................................................................... A lco h o lic b e v e ra g e s ................................................................................... H ousing .......................................................................................... S he lte r ............................................................................................... R e nte rs' co sts (1 2 /8 2 = 1 0 0 ).............................................................. Rent, re s id e n tia l................................................................................... O th e r re n te rs’ co sts ........................................................................ H o m e ow ne rs' c o sts ( 1 2 / 8 2 = 1 0 0 ) ..................................................... O w n e rs’ equ iva le nt re n t (1 2 /8 2 = 1 0 0 ) ......................................... H ouse h old insuran ce ( 1 2 / 8 2 = 1 0 0 ) ............................................... M a in ten an ce and r e p a ir s ....................................................................... M a in ten an ce and re p air se rvice s ................................................... M ain ten an ce a nd repair c o m m o d itie s ........................................... Fuel and o th e r u tilitie s ................................................ Fuels ................................................................ Fuel oil, coal, and b ottle d g a s ...................................................... G as (piped) and e le ctricity ................................................................ O th e r utilities a nd public s e r v ic e s ...................................................... H ouse h old furnishin g s and o p e ra tio n s ................................................ H ousefurm shings .......................................... H ousekeeping s u p p lie s ......................................... H ouse ke ep in g s e rv ic e s ............................................... C O N S U M E R P R IC E IN D E X F O R A L L U R B A N C O N S U M E R S : 415.5 364.7 427.0 417.9 374.3 428.3 419.5 374.5 430.2 421.2 375.9 431.9 447.6 392.3 460.2 See fo o tn o te s at e nd o f table. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 75 MONTHLY LABOR REVIEW December 1986 • Current Labor Statistics: Price Data 30. Continued— Consumer Price Index for All Urban Consumers: U.S. city average, by expenditure category and commodity or service group; and CPI for Urban Wage Earners and Clerical Workers, all items (1967=100, unless otherwise indicated) S eries 1986 1985 A nnual average 1984 1985 Sept. Oct. O ct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. 326.6 289.2 303.6 286.8 196.8 337.8 271.5 327.4 289.9 305.6 286.8 194.2 339.1 271.4 328.4 290.1 307.9 284.9 189.5 338.7 271.4 327.5 287.4 307.7 278.6 188.5 329.5 270.5 326.0 283.7 307.8 268.9 190.8 313.6 269.7 325.3 281.2 308.5 262.0 191.7 302.6 269.2 326.3 282.1 309.4 263.3 190.7 305.2 269.6 327.9 282.8 309.5 264.7 188.4 308.4 269.9 328.0 281.9 312.2 259.8 187.0 301.7 269.6 328.6 281.9 314.6 258.1 191.2 296.9 269.0 330.2 283.5 315.1 261.5 196.6 299.5 269.3 330.5 283.6 315.6 260.4 197.6 297.2 270.5 A ll it e m s ................................................................................................................ C o m m o d itie s ..................................................................................................... Food and b e v e ra g e s .................................................................................. C o m m o d ities less foo d and b e v e ra g e s ............................................... N ond u ra ble s less foo d and beve ra ge s ........................................... A pp a rel c o m m o d itie s ............................................................................ N ond u ra ble s less foo d , beverages, and a pparel ...................... D u ra b le s ....................................................................................................... 311.1 280.7 295.1 - 322.2 286.7 302.0 275.7 187.0 325.8 266.5 282.1 191.6 333.3 270.7 325.5 287.9 302.5 285.3 196.7 335.6 270.2 S e rv ic e s .............................................................................................................. R ent o f s h e lte r .............................................................................................. H ousehold se rvice s less rent o f sh elte r ............................................. T ra n spo rta tion s e r v ic e s ............................................................................. M e d ical ca re s e rv ic e s ................................................................................ O th e r s e r v ic e s .............................................................................................. 363.0 107.7 108.1 321.1 410.3 296.0 381.5 113.9 111.2 337.0 435.1 314.1 387.7 116.1 112.1 341.1 443.0 321.4 388.7 116.7 110.8 344.7 445.8 322.5 389.5 117.0 110.8 346.1 448.0 322.9 391.7 117.4 111.4 349.0 451.9 324.8 393.3 117.7 111.8 351.0 456.2 326.1 394.9 118.5 111.6 352.4 460.1 326.6 396.8 119.4 111.6 353.2 462.3 327.6 397.9 119.7 112.3 353.4 464.2 328.2 401.0 119.9 115.2 355.3 466.8 329.2 402.3 120.5 114.9 357.1 469.8 330.1 403.7 120.9 115.3 357.3 473.0 330.8 405.5 121.7 114.9 356.2 475.7 337.9 406.1 122.2 112.9 360.5 478.8 339.5 S pecial in dexes: All item s less f o o d ...................................................................................... A ll item s less s h e lt e r ................................................................................. All item s less h o m eo w n ers’ c o s t s ........................................................ All item s less m edical c a r e ...................................................................... C o m m o d ities less f o o d .............................................................................. N ond u ra ble s less foo d .............................................................................. N ond u ra ble s less foo d and a pparel .................................................... N o n d u ra b le s .................................................................................................. S ervices less rent o f s h e lte r .................................................................... S ervices less m edical c a r e ...................................................................... E n e rg y .............................................................................................................. All ite m s le ss ene rg y ................................................................................. All ite m s le ss fo o d and e nergy .............................................................. C o m m o d ities less fo o d a nd e n e r g y ...................................................... E nergy co m m o d itie s .................................................................................. S e rvices less e n e rg y .................................................................................. 311.3 295.1 106.3 307.3 267.0 270.8 311.9 286.6 108.5 355.6 423.6 302.9 301.2 253.1 409.8 356.4 323.3 303.9 109.7 317.7 272.5 277.2 319.2 293.2 113.5 373.3 426.5 314.8 314.4 259.7 409.9 375.9 327.4 306.3 110.7 320.8 274.4 280.7 322.0 295.1 115.1 379.3 427.1 318.4 318.9 262.0 410.1 382.5 328.5 307.2 111.1 321.9 275.7 282.0 324.0 296.4 115.2 380.1 425.1 319.8 320.4 262.7 415.2 384.8 328.9 307.9 111.3 322.6 275.7 282.0 325.1 297.4 115.4 380.8 426.5 320.5 320.7 262.2 417.9 385.8 329.5 308.8 111.6 323.4 274.7 280.4 324.9 297.7 116.2 382.7 424.7 321.8 321.6 261.8 413.2 387.9 328.5 307.4 111.2 322.2 270.9 274.5 316.8 294.3 116.8 384.0 408.9 322.3 322.3 261.6 386.5 389.4 326.6 305.2 110.5 320.5 265.2 265.6 302.7 289.5 117.1 385.4 381.3 323.3 323.6 262.0 343.0 391.5 325.7 303.6 110.1 319.7 261.2 259.2 292.9 286.3 117.4 387.2 361.8 324.4 324.8 262.1 313.3 393.8 326.7 304.7 110.4 320.6 262.1 260.5 295.2 287.4 117.8 388.3 367.6 325.0 325.3 262.2 319.3 394.5 328.6 306.5 111.1 322.2 263.0 261.8 298.1 288.2 119.2 391.3 380.6 325.5 325.9 262.0 327.1 395.9 328.0 306.1 111.0 322.1 260.2 257.3 292.2 287.1 119.5 392.5 366.5 326.9 326.9 262.0 306.6 397.7 328.1 306.4 111.2 322.6 259.0 255.6 287.9 287.4 119.8 393.6 358.6 328.3 327.9 262.9 292.4 399.0 330.0 307.9 111.7 324.2 261.1 258.9 290.2 289.4 120.2 395.4 360.6 330.0 329.9 264.5 297.7 401.4 330.2 307.8 111.7 324.4 260.9 257.8 288.1 289.0 120.1 395.7 348.6 331.4 331.6 265.5 290.6 403.7 P urchasing p ow e r o f th e co nsu m e r dollar: 1 9 6 7 —$ 1 .0 0 .................................................................................................. 1 9 5 7 - 5 9 - $ 1 .0 0 ............................................................................................ 32.1 27.6 31.0 26.7 30.7 26.4 30.6 26.3 30.5 26.3 30.5 26.2 30.5 26.3 30.7 26.4 30.7 26.4 30.6 26.4 30.5 26.2 30.5 26.2 30.4 26.2 30.3 26.0 30.3 26.0 C O N S U M E R P RICE IN D E X FO R U R B A N W A G E E A R N E R S A N D C L E R IC A L W O R K E R S : All ite m s ............................................................................................................. A ll item s ( 1 9 5 7 - 5 9 - 1 0 0 ) ................................................................................ 307.6 357.7 318.5 370.4 321.3 373.7 322.6 375.1 323.4 376.1 324.3 377.1 323.2 375.8 321.4 373.7 320.4 372.6 321.4 373.7 323.0 375,6 322.9 375.5 323.4 376.1 324.9 377.8 325.0 378.0 Food and b eve ra ge s ..................................................................................... F o o d ................................................................................................................. Fo od at hom e ........................................................................................... C ereals and b akery p ro d u c ts ............................................................ M eats, poultry, fish, and e g g s .......................................................... Dairy p r o d u c ts ........................................................................................ Fruits and v e g e ta b le s .......................................................................... O th e r fo o d s at h o m e ........................................................................... S ugar a nd s w e e t s .............................................................................. Fa ts and o i l s ........................................................................................ N o n a lco h o lic b e v e ra g e s .................................................................. O th e r prepared f o o d s ....................................................................... Food aw ay fro m hom e .......................................................................... A lco h o lic b e v e ra g e s ................................................................................... 295.2 302.7 291.2 303.7 266.0 252.2 312.5 352.7 388.6 287.5 444.4 286.4 336.7 225.3 301.8 309.3 295.3 315.4 262.7 256.9 320.3 361.5 398.3 293.9 453.2 295.7 349.7 232.6 302.2 309.3 293.7 317.3 260.4 255.9 311.2 363.4 402.2 290.6 455.6 298.3 353.4 239.1 303.4 310.6 295.2 318.2 265.4 255.9 309.4 362.5 400.9 291.8 453.1 298.3 354.4 238.8 305.4 312.8 297.9 320.4 269.2 255.7 319.3 361.6 401.8 289.6 450.4 298.7 355.2 239.1 307.7 315.1 300.9 320.4 270.7 256.0 329.7 366.1 404.7 291.6 461.0 299.4 356.2 240.1 307.5 314.9 300.1 320.9 267.7 256.0 316.0 375.2 408.1 290.8 485.5 300.9 357.3 240.9 307.6 315.0 299.7 321.1 267.2 255.5 314.6 375.6 407.8 289.7 487.4 300.7 358.6 241.4 308.3 315.6 299.9 320.9 263.5 255.5 325.0 376.0 410.9 287.8 487.0 301.6 360.2 242.3 309.0 316.4 300.4 322.1 262.6 255.8 331.6 374.3 410.6 286.6 481.2 302.7 362.0 242.2 309.3 316.6 300.0 324.5 264.2 255.9 323.5 373.9 410.9 286.4 479.5 303.0 363.5 242.9 312.0 319.5 303.9 324.6 274.0 257.0 325.6 373.4 411.9 286.6 477.6 303.1 364 .2 243.4 314.5 322.3 307.3 326.7 282.2 256.9 327.2 373.9 412.6 287.1 476.9 304.5 365.2 243.0 315.0 322.8 307.5 326.8 284.0 257.1 324.2 373.5 413.0 285.1 475.5 305.2 366.6 243.4 315.4 323.3 307.9 326.8 284.4 258.6 322.9 374.4 412.8 284.1 477.7 305.9 367.3 243.5 Housing .............................................................................................................. S h e lt e r ............................................................................................................. R e n te rs’ co sts ( 1 2 / 8 4 - 1 0 0 ) .............................................................. Rent, re s id e n tia l..................................................................................... O th e r re n te rs’ c o s t s ............................................................................. H o m e ow ne rs' co sts ( 1 2 / 8 4 - 1 0 0 ) ..................................................... O w n e rs’ e q u iva le nt rent (1 2 /8 4 = 100) ......................................... H ousehold insuran ce ( 1 2 /8 4 — 1 0 0 ) ............................................... M a in ten an ce and r e p a ir s ....................................................................... M ain ten an ce and repair se rvice s .................................................... M ain ten an ce and re p air c o m m o d itie s ............................................ Fuel and o th e r u tilitie s ............................................................................... Fuels ............................................................................................................. Fuel oil, coal, and b ottle d g a s ......................................................... G as (piped) and e le ctricity ................................................................ O th e r utilities and pub lic se rvice s ...................................................... H ouse h old furnishin g s and o p e ra tio n s ................................................ H o usefurnishings ...................................................................................... H ouse ke ep in g s u p p lie s .......................................................................... H ouse ke ep in g s e rv ic e s .......................................................................... 329.2 350.0 343.3 370.4 347.5 377.1 348.3 379.3 349.1 380.4 350.1 381.8 349.7 382.9 350.1 385.0 351.1 388.1 354.3 389.4 354.5 391.5 356.6 395.2 282.2 428.9 110.0 110.0 110.4 370.6 430.7 261.1 389.1 467.1 456.6 460.3 256.2 247.5 199.4 317.9 349.5 355 .6 397.1 283.6 426.7 110.5 110.5 110.8 373.1 431.1 264.3 379.3 449.2 454.8 439.6 257.8 247.5 199.3 317.8 350.1 A pp a rel and u p k e e p ...................................................................................... 211.0 211.9 See footnotes at end of table. Digitized for76 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis - - - - - - - - - 351.6 388.8 - - - 248.6 372.4 356.3 403.5 257.2 388.6 485.0 644.3 444.1 231.2 239.1 197.0 300.2 328.0 263.7 397.9 103.1 103.0 103.2 364.1 415.0 261.1 394.7 487.5 622.0 451.6 241.6 243.4 197.6 310.7 340.2 268.9 411.6 104.8 104.8 105.2 364.6 417.4 260.5 396.3 487.2 618.1 452.0 245.7 244.5 197.7 312.7 343.9 270.7 408.0 105.5 105.5 105.2 367.7 420.9 262.7 393.2 481.0 644.3 439.5 246.8 245.1 198.3 313.5 344.5 271.5 397.5 105.9 105.9 105.7 368.5 420.1 264.2 394.3 483.1 659.9 438.8 246.7 245.2 197.8 315.0 345.0 272.5 400.8 106.3 106.3 106.3 373.2 426.2 267.2 395.6 484.1 652.7 441.4 248.3 245.1 197.3 315.8 345.6 272.8 403.5 106.6 106.6 107.8 374.0 426.5 268.1 390.9 475.7 593.6 443.2 248.8 245.3 197.2 316.4 346.3 274.1 405.4 107.4 107.3 108.2 364.7 416.6 261.1 386.3 467.1 552.8 441.2 249.9 246.0 198.5 315.5 346.6 277.0 411.6 108.1 108.1 108.5 364.6 419.2 259.4 382.6 459.1 521.5 438.0 252.1 246.0 198.1 316.3 347.1 277.5 411.3 108.3 108.3 109.0 363.8 420.0 258.0 383.0 459.7 499.9 443.0 252.2 246.1 198.4 315.7 347.4 278.5 415.5 108.4 108.4 109.1 363.2 422.6 255.7 394.9 477.3 489.9 465.7 255.8 246.2 198.2 316.8 347.8 280.3 420.4 108.8 108.8 110.1 366.7 425.2 259.0 390.3 469.1 462.9 461.4 256.3 246.5 198.4 317.1 348.4 355.4 392.9 280.8 426.1 109.3 109.2 110.1 371.5 428.6 263.5 390.6 469.3 450.7 464.1 256.6 246.6 198.3 317.3 349.1 199.1 205.0 210.2 210.2 208.1 204.1 203.1 205.2 206.1 205.1 203.0 201.8 205.9 - 30. Continued— Consumer Price Index for All Urban Consumers: U.S. city average, by expenditure category and commodity or service group; and CPI for Urban Wage Earners and Clerical Workers, all items (1967=100, unless otherwise indicated) S eries Annual average 1985 1986 Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. 191.3 198.2 171.3 311.7 212.5 203.1 318.5 196.6 203.5 180.0 314.8 212.6 202.4 323.2 196.5 203.7 178.3 320.7 215.9 202.5 323.6 194.1 202.2 174.5 317.3 213.6 202.4 324.4 189.4 198.8 166.1 332.7 209.9 203.5 327.2 188.2 196.8 165.2 328.6 208.4 204.2 328.1 190.4 198.0 169.0 329.6 210.7 203.5 329.0 191.2 199.3 169.3 331.3 212.1 204.1 330.2 190.1 200.0 165.9 334.3 212.0 203.8 330.9 187.7 198.0 162.0 335.6 210.6 204.5 331.9 186.3 195.4 160.8 323.7 209.6 206.5 332.2 190.8 197.1 169.3 328.6 209.9 209.5 332.3 196.2 202.3 178.1 326.2 212.0 209.0 334.2 197.1 203.6 178.1 329.2 215.3 207.9 335.6 313.9 310.1 207.3 207.9 375.7 372.2 371.8 342.2 274.2 203.9 295.4 376.8 321.6 317.4 214.2 214.5 379.7 375.4 375.0 352.6 287.7 204.7 312.3 391.7 322.2 317.6 215.3 215.5 375.3 376.3 375.8 356.9 289.2 205.0 314.1 399.3 324.6 320.1 217.5 217.8 376.4 378.7 378.1 357.2 293.7 203.7 320.2 400.1 325.3 320.8 218.6 218.8 375.6 379.6 378.9 359.0 294.7 204.3 321.3 400.2 325.1 320.2 219.0 219.2 374.1 375.3 374.6 359.4 296.9 205.6 323.7 408.6 320.1 314.8 219.4 219.7 370.7 353.0 352.3 360.4 298.4 205.4 325.7 412.6 310.3 304.5 219.4 219.5 367.2 309.6 308.8 360.9 300.6 206.0 328.3 412.0 303.5 297.4 220.2 220.4 364.8 280.1 279.1 362.2 300.4 204.6 328.5 413.0 305.9 299.9 222.0 222.3 363.6 290.3 289.6 362.8 299.8 204.9 327.7 413.8 308.7 302.8 223.2 223.4 362.5 300.6 300.3 363.6 301.2 203.9 329.6 415.1 304.6 298.3 223.7 223.9 360.3 280.9 280.5 365.0 302.4 203.8 331.2 418.0 300.9 294.4 223.6 223.9 358.0 266.7 266.1 365.7 302.2 204.0 330.9 418.4 301.8 295.3 223.3 223.7 359.5 271.9 271.4 366.6 299.7 202.7 328.1 418.8 302.2 295.7 225.7 226.3 360.6 264.0 263.4 367.2 305.2 201.1 335.4 418.9 M edical c a r e ..................................................................................................... M edical care c o m m o d itie s ....................................................................... M edical care s e rv ic e s ................................................................................ P rofessional s e r v ic e s .............................................................................. O th e r m edical care s e rv ic e s ................................................................ 377.7 239.7 407.9 346.5 484.7 401.2 256.3 432.7 367.7 513.9 408.5 260.9 440.6 373.7 524.4 410.9 262.2 443.2 375.8 527.5 412.6 262.3 445.4 377.6 530.4 416.0 264.1 449.2 379.3 536.9 420.0 267.0 453.5 382.2 543.0 423.5 268.8 457.3 385.6 547.3 425.7 270.7 459.5 387.4 550.0 427.3 271.7 461.3 388.8 552.3 429.6 272.5 464.0 390.8 555.8 432.4 274.6 466.9 392.3 560.7 435.0 275.2 470.1 394.0 565.8 437.1 275.8 472.6 396.6 568.1 439.7 276.6 475.6 398.4 572.7 E n te rta in m e n t.................................................................................................. E nte rtainm en t c o m m o d itie s ..................................................................... E n te rtainm en t s e rv ic e s .............................................................................. 251.2 247.7 258.5 260.1 254.2 271.6 263.0 257.1 274.6 263.7 257.2 276.3 263.0 255.7 276.8 265.4 257.8 280.0 266.5 258.3 282.0 266.5 258.3 282.1 266.9 258.4 283.0 267.3 258.7 283.6 268.4 259.8 284.8 269.0 259.6 286.5 269.2 259.8 286.7 270.0 259.8 288.9 271.1 260.6 290.7 O th e r g oo d s and se rvices .......................................................................... T o ba cco p ro du cts ....................................................................................... P ersonal c a r e ................................................................................................ T o ile t g oo d s and p ersonal care a p p lia n c e s .................................... P ersonal care s e r v ic e s .......................................................................... P ersonal and edu catio n al e x p e n s e s ..................................................... S cho o l boo ks and s u p p lie s .................................................................. P ersonal and e d u catio n al s e r v ic e s ................................................... 304.9 309.7 269.4 270.3 268.8 368.2 327.5 378.2 322.7 328.1 279.6 279.0 280.5 399.3 355.7 410.1 330.1 334.0 282.7 282.0 283.7 416.5 369.2 428.1 330.5 334.3 283.1 281.9 284.8 417.3 369.3 428.9 331.9 337.1 284.0 283.3 285.2 417.4 369.4 429.1 334.9 342.4 285.9 285.9 286.4 418.9 375.6 429.7 336.1 344.4 286.8 286.7 287.4 419.9 378.4 430.3 337.0 345.2 288.0 288.1 288.4 420.1 379.0 430.5 337.6 346.0 288.2 288.4 288.4 421.2 379.1 431.8 338.0 346.0 288.6 288.6 289.0 422.0 379.1 432.8 338.4 346.7 288.6 287.6 290.0 422.9 380.2 433.6 341.2 354.0 288.8 287.8 290.2 423.8 380.5 434.6 342.6 355.9 289.9 289.7 290.5 425.1 381.4 436.0 347.5 356.5 289.5 288.7 290.8 446.1 393.9 458.7 348.8 356.8 290.8 290.5 291.6 448.7 396.7 461.3 All it e m s ................................................................................................................ C o m m o d itie s ..................................................................................................... Food and b e v e ra g e s .................................................................................. C o m m o d ities less foo d and b e v e ra g e s ............................................... N ond u ra ble s less foo d and beve ra ge s .......... ................................. A pp a rel c o m m o d itie s ............................................................................ N ond u ra ble s less food, b everages, and a pparel ...................... D u ra b le s ....................................................................................................... 307.6 280.4 295.2 269.3 277.5 186.6 327.0 261.1 318.5 286.5 301.8 321.3 287.6 302.2 322.6 288.9 303.4 323.4 289.7 305.4 324.3 289.8 307.7 323.2 287.0 307.5 321.4 283.1 307.6 320.4 280.4 308.3 321.4 281.3 309.0 323.0 282.0 309.3 - - - - - - - - - - 322.9 281.1 312.0 - 323.4 281.1 314.5 - 324.9 282.6 315.0 - 325.0 282.6 315.4 - 283.8 191.3 334.2 265.2 287.0 196.6 336.5 264.5 288.5 196.5 338.8 265.7 288.7 194.1 340.1 265.7 286.9 189.4 339.6 265.6 280.1 188.2 330.1 264.6 269.6 190.4 313.2 263.7 262.0 191.2 301.6 263.3 263.6 190.1 304.5 263.5 265.2 187.7 308.0 263.6 260.1 186.3 301.0 263.2 258.1 190.8 295.9 262.6 261.5 196.2 298.4 263.0 260.2 197.1 296.0 264.0 S e r v ic e s .............................................................................................................. R ent o f sh elte r ( 1 2 / 8 4 - 1 0 0 ) ................................................................. H o use h old se rvice s less rent o f sh elte r ( 1 2 / 8 4 = 1 0 0 ) ................. T ra n spo rta tion s e r v ic e s ............................................................................. M edical care s e rv ic e s ................................................................................ O the r se rvice s .............................................................................................. 358.0 377.3 103.2 102.6 332.2 432.7 310.1 383.0 105.1 103.3 335.5 440.6 316.7 384.2 105.8 102.1 339.3 443.2 317.8 385.1 106.1 102.0 340.5 445.4 318.3 387.2 106.4 102.6 343.3 449.2 320.4 388.8 106.7 103.0 345.4 453.5 321.6 390.5 107.4 102.8 347.0 457.3 322.1 392.2 108.3 102.7 347.5 459.5 322.9 393.2 108.5 103.4 347.3 461.3 323.6 396.4 108.7 106.4 348.9 464.0 324.6 397.7 109.2 106.0 350.6 466.9 325.6 399.0 109.6 106.4 350.7 470.1 326.0 400.4 110.3 106.0 349.2 472.6 332.2 401.0 110.8 103.8 353.8 475.6 333.8 322.9 305.4 102.6 316.9 274.5 282.4 323.1 295.7 103.9 374.5 426.6 313.0 312.7 258.8 411.2 377.3 324.2 306.4 103.0 318.1 275.9 283.8 325.0 297.1 103.9 375.5 425.4 314.5 314.2 259.5 416.3 379.8 324.6 307.2 103.2 318.9 275.9 283.9 326.3 298.2 104.2 376.2 426.8 315.3 314.6 259.2 418.9 380.8 325.1 307.9 103.5 319.6 275.0 282.3 325.9 298.4 104.9 378.2 424.7 316.5 315.4 258.8 414.1 382.9 323.8 306.4 103.0 318.3 270.9 276.1 317.5 295.0 105.5 379.5 408.1 316.9 316.1 258.5 387.3 384.5 321.5 303.8 102.3 316.2 264.9 266.4 302.6 289.8 105.7 381.0 379.0 317.8 317.2 258.7 343.3 386.5 320.2 302.1 101.8 315.2 260.7 259.4 292.2 286.3 105.9 382.7 358.4 318.8 318.3 258.8 312.9 388.8 321.2 303.0 102.1 316.1 261.6 260.9 294.9 287.5 106.2 383.6 364.6 319.2 318.6 258.8 319.8 389.4 323.2 304.8 102.7 317.7 262.6 262.4 298.0 288.4 107.6 386.8 378.1 319.7 319.1 258.5 328.1 390.8 322.3 304.3 102.6 317.4 259.6 257.7 291.8 287.2 107.8 387.9 363.1 321.1 320.1 258.5 307.2 392.6 322.2 304.6 102.7 317.8 258.3 255.8 287.3 287.5 108.1 389.0 354.8 322.4 321.0 259.3 292.9 393.7 323.9 305.9 103.2 319.3 260.3 259.1 289.6 289.5 108.3 390.3 356.9 323.9 322.7 260.9 298.2 395.7 324.0 305.7 103.2 319.3 260.0 257.8 287.4 289.0 108.2 390.6 344.8 325.3 324.4 261.7 290.9 398.2 31.1 26.8 31.0 26.7 30.9 26.6 30.8 26.5 30.9 26.6 31.1 26.8 31.2 26.8 31.1 26.8 31.0 26.6 31.0 26.6 30.9 26.6 30.8 26.5 30.8 26.5 1984 1985 A pp a rel c o m m o d itie s ................................................................................. M e n 's and boys' a p p a r e l....................................................................... W o m e n ’s and g irls’ a pparel ................................................................. Infa nts’ and to d d le rs' a p p a r e l.............................................................. F o o tw e a r...................................................................................................... O the r a pparel c o m m o d itie s .................................................................. A pp a rel s e rv ic e s .......................................................................................... 186.6 192.9 165.0 297.6 210.0 204.5 302.9 T ra n spo rta tion ................................................................................................. Private tra n s p o rta tio n ................................................................................. N ew v e h ic le s .............................................................................................. N ew c a r s .................................................................................................. Used c a r s ................................................................................................... M o to r fuel .................................................................................................... G a s o lin e ................................................................................................... M a in ten an ce and r e p a ir ......................................................................... O the r priva te tra n s p o rta tio n ................................................................. O th e r private tra nsp o rtatio n c o m m o d itie s .................................... O th e r private tra nsp o rtatio n s e rv ic e s ............................................. Public tra n s p o rta tio n .................................................................................. - 317.2 407.9 292.9 S pecial indexes: All item s less foo d ...................................................................................... All ite m s less sh elte r ................................................................................. All item s less h om e o w n e rs’ co sts ( 1 2 /8 4 = 1 0 0 ) ............................. All ite m s less m edical c a r e ...................................................................... C o m m o d ities less f o o d .............................................................................. N o nd u ra ble s less foo d .............................................................................. N ond u ra ble s less foo d and a pparel ..................................................... N o n d u ra b le s .................................................................................................. S ervices less rent o f sh elte r ( 1 2 / 8 4 - 1 0 0 ) ....................................... S ervices less m edical c a r e ...................................................................... E n e rg y .............................................................................................................. All ite m s less ene rg y ................................................................................. All ite m s le ss fo o d and e nergy .............................................................. C o m m o d ities less foo d and e n e r g y ...................................................... E nergy co m m o dities .................................................................................. S ervices less e n e rg y .................................................................................. 350.5 423.3 298.3 295.8 250.5 410.5 350.8 319.4 303.4 101.8 314.3 272.8 279.0 320.3 293.9 102.6 369.0 426.3 309.9 308.7 256.8 410.9 371.1 P urchasing p o w e r o f th e co nsu m e r dollar: 1967 —$ 1 .0 0 .................................................................................................. 1957-59 $1.00 ........................................................................................... 32.5 28.0 31.4 27.0 307.5 295.1 - 304.0 267.1 272.6 313.2 287.4 - - Data not available. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 77 MONTHLY LABOR REVIEW 31. December 1986 • Current Labor Statistics: Price Data Consumer Price Index: U.S. city average and available local area data: all Items (1967=100, unless otherwise indicated) A ll U rban C onsu m e rs A re a 1 sch e d ule 2 O the r index base 1986 Nov. June July Aug. O ct. O ct. Nov. June July Aug. 325.5 326.6 327.9 328.0 328.6 330.2 330.5 321.3 322.6 323.0 322.9 323.4 324.9 325.0 - 322.6 319.7 324.2 323.1 330.4 321.0 331.1 318.4 331.4 323.2 333.9 321.1 328.7 324.3 308.9 309.7 310.9 313.2 315.6 310.2 316.0 307.5 316.2 312.8 318.3 310.5 313.4 313.6 326.1 325.0 331.3 330.9 330.9 334.6 336.2 320.0 319.1 324.5 323.8 323.5 326.8 328.3 317.4 317.4 319.9 318.8 322.8 321.7 325.1 323.0 325.9 323.1 326.6 325.8 327.8 324.7 309.9 320.3 312.5 321.5 314.4 323.5 316.5 324.6 317.2 324.4 317.5 326.7 318.7 326.1 1 1 /7 7 - - - 286.2 334.0 328.2 333.0 362.9 174.3 332.9 311.3 318.0 325.7 385.9 326.3 332.3 - - 277.9 330.9 325.2 324.7 357.2 174.5 351.7 310.2 306.3 320.7 347.4 312.3 334.6 _ _ _ _ _ _ _ _ _ _ _ _ - 278.4 327.9 320.8 324.9 352.4 171.6 350.1 307.8 303.4 320.6 345.0 310.1 330.2 _ _ _ _ _ _ _ _ _ _ _ - 280.1 326.3 323.0 326.2 354.1 174.9 353.2 309.6 307.3 318.5 341.9 310.8 330.5 _ _ _ _ _ _ - 286.3 330.2 323.6 332.4 358.4 171.2 331.3 309.0 314.7 325.6 383.1 323.7 329.3 - - 286.9 327.3 325.4 333.4 359.4 173.9 333.9 310.6 317.1 321.6 379.0 324.0 326.9 _ 333.0 309.3 348.6 343.9 295.6 337.6 323.1 _ _ - 339.9 309.4 352.1 345.9 302.2 334.0 323.7 330.0 295.3 327.0 337.5 302.7 335.0 312.9 _ - 338.9 307.5 352.7 346.2 301.5 332.9 323.9 _ - 338.5 308.9 350.6 344.7 299.2 333.3 322.9 342.1 328.6 344.0 - 340.3 330.1 345.5 - - - 340.9 331.8 347.7 336.0 309.9 331.0 - 176.4 176.5 177.5 180.4 170.3 171.4 175.3 174.8 177.6 179.9 178.3 175.9 174.5 168.7 174.6 173.6 174.1 174.9 174.2 180.3 177.6 184.2 166.1 173.1 175.7 174.6 178.0 174.0 180.0 179.2 171.8 169.5 173.9 178.4 M M _ A nch o rag e , A laska (1 0 /6 7 - 100) .......................... B altim ore, M d ................................ B oston, M a ss................................. C incinnati, O hio-K y.-In d .............. D enver-B oulder, C o lo ................. Miami, Fla. (1 1 /7 7 = 1 0 0 )...... M ilw aukee, W is............................. N ortheast, Pa................................. P ortland, O re g.-W ash ................. St. Louis, M o .-lll............................ San Diego, C a lif............................ S ea ttle-E ve re tt, W a sh ................. W a sh ing ton , D .C .-M d.-V a.......... 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 /6 7 - M M M - A lanta, G a ....................................... B uffalo, N .Y .................................... C leveland, O hio .......................... D allas-Ft. W orth, T e x.................. H onolulu, H a w a ii......................... H ouston, T e x ................................. Kansas City, M o.-K ansas ........ M inneapolis-S t. Paul, M inn .-W is....................................... P ittsburgh, P a................................ San Fran cisco-O akla n d, Calif. 2 2 2 - 340.6 328.4 336.7 R e gion 3 N o r th e a s t................................... N orth C e n tr a l............................. S o u t h ........................................... W e st ............................................ 2 2 2 2 1 2 /7 7 1 2 /7 7 1 2 /7 7 1 2 /7 7 172.5 174.9 175.7 176.9 - P opulation size cla ss3 A-1 ................................................ A - 2 ................................................ B ..................................................... C .................................................... D ................................................... 2 2 2 2 2 1 2 /7 7 1 2 /7 7 1 2 /7 7 1 2 /7 7 1 2 /7 7 172.9 177.6 176.3 173.8 173.8 - R e g io n /p o p u la tio n size cla ss cro ss cla ssifica tio n 3 C lass A: N o rth ea st ................................ N orth C e n t r a l......................... S outh ........................................ W e s t .......................................... 2 2 2 2 1 2 /7 7 1 2 /7 7 1 2 /7 7 1 1 /7 7 169.6 178.2 175.6 179.1 C lass B: N o rth ea st ................................ N orth C e n tr a l......................... S outh ........................................ W e s t .......................................... 2 2 2 2 1 2 /7 7 1 2 /7 7 1 2 /7 7 1 2 /7 7 174.9 173.4 177.4 177.9 78 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 1985 O ct. C hicago, III.-N orthw estern Ind .................................................... D etroit, M ich ................................... Los A ng e les-Lo n g Beach, A naheim , C a lif............................. N e w Y ork, N .Y .-N o rthe a ste rn N .J.................................................... P hiladelphia, P a.-N .J................... See footnotes at end of table. U rban W age E arners 1986 - U.S. city a v e r a g e ....................... 2 2 2 2 2 2 2 1985 . - - - - - - - - ~ - - 174.2 176.1 176.3 178.7 - 175.7 178.9 177.0 174.7 173.4 - 171.8 180.3 176.8 181.8 175.2 174.1 178.5 178.3 - - - - - - - Sept. 175.0 176.2 176.4 179.0 - 176.6 179.1 176.6 175.0 173.8 - 173.1 180.7 176.7 182.0 174.7 172.5 178.6 178.1 - - - - - - _ - - _ 335.5 294.0 328.2 337.4 306.5 330.9 311.4 _ _ 335.4 292.5 329.9 339.1 308.3 330.5 311.9 - 336.2 308.3 338.1 - 334.5 309.2 339.0 - - - - - _ - - - 171.6 172.2 175.2 176.3 - 171.0 175.2 174.1 174.6 174.2 - 167.7 174.7 176.1 177.1 172.2 169.7 174.6 178.7 - - - - _ _ _ - Sept. _ Oct. - _ _ _ _ 335.9 294.2 329.3 338.5 308.8 331.7 311.3 - 334.6 310.6 341.1 _ - 172.2 172.2 175.3 176.4 _ - 171.8 175.3 173.5 174.8 174.5 _ - - - 168.8 175.0 176.1 176.9 _ _ 171.8 168.1 174.6 178.3 _ - _ _ - 173.5 172.4 176.3 177.8 172.5 176.0 175.1 175.7 175.1 169.7 174.5 176.9 179.0 174.6 169.5 175.7 179.3 31. Continued— Consumer Price Index: U.S. city average and available local area data: all items (1 9 6 7 = 1 0 0 , u nless o th e rw ise indicated) All Urban Consumers Area1 Pricing Other sche index dule2 base Oct. Class C: Northeast .......................... North Central.................... South ................................. West................................... 2 2 2 2 12/77 12/77 12/77 12/77 181.7 170.1 174.3 169.7 Class D: Northeast .......................... North Central.................... South ................................. West................................... 2 2 2 2 12/77 12/77 12/77 12/77 175.6 171.6 174.8 174.5 Nov. - June July - Aug. 183.4 170.7 174.5 171.6 - 182.8 171.2 174.8 173.0 176.1 171.3 173.9 174.1 " 176.8 171.4 174.3 174.9 - 1 A rea is g en erally th e S ta n da rd M e tro po lita n S ta tistica l A rea (SMSA), e xclusive o f farm s. L.A .-Long Beach, A naheim , Calif, is a co m b ina tio n of tw o S M S A ’s, a nd N.Y., N .Y .-N o rthe a ste rn N.J. and C hicago, lll.-N o rthw e stern Ind. are th e m ore e xte n sive S ta n da rd C o nso lid a ted A reas. A re a d e fin i tio n s are th o se e sta b lish ed by th e O ffice o f M an ag em en t and B ud g et in 1973, e xce p t fo r D enver-B oulder, Colo, w h ich d o e s n ot in clu de D ouglas C ounty. D e finition s do n o t in clu de revisions m ade sin ce 1973. 2 Foods, fuels, and several o th e r item s price d every m o n th in all areas; m o st o th e r g oo d s and se rvice s priced as indicated;. M - E very m onth. 1 - January, M arch, May, July, S eptem ber, and Novem ber. 2 - February, April, June, A ugust, O ctob er, a nd D ecem ber. 3 Regions are defin ed as the fo u r C e nsus regions. T h e pop ulatio n size cla sses are agg re ga tio ns o f a reas w hich have urban pop ulatio n as d efined: A-1 - M ore than 4,000,000. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Urban Wage Earners 1986 1985 1985 Sept. - - “ Oct. Oct. 183.8 172.3 175.8 173.1 186.5 166.9 175.7 168.3 178.1 171.7 175.4 175.3 175.3 173.1 176.2 176.0 1986 Nov. - - “ June 187.8 167.2 175.2 169.9 175.5 172.6 174.6 175.4 July - - - Aug. 187.2 167.7 175.3 171.1 176.2 172.4 175.0 176.3 Sept. - - - Oct. 188.1 168.7 176.3 171.2 177.2 172.7 175.9 176.7 A -2 - 1,250,000 to 4 ,000,000. B - 385 ,00 0 to 1,250,000 C - 75,0 00 to 385,000. D - Less tha n 75,000. P opulation size cla ss A is the agg re ga tio n o f p o p ulatio n size cla sses A-1 and A-2. - D ata n o t available. NO TE: Local a rea CPI in dexes a re b ypro d u cts o f the natio na l CPI p ro gram . B eca u se each lo cal in de x is a sm all su bse t o f th e n atio na l index, it has a sm a lle r sam p le size and is, th e re fo re , su b je ct to su b sta ntia lly m ore sam pling and o th e r m e a sure m e n t e rro r tha n the natio na l index. A s a result, lo cal a rea in de xe s sh ow g re a te r v o la tility than the natio na l index, altho ug h th e ir lo ng -te rm tre n d s are quite sim ilar. T h e refo re , th e B ureau o f L ab or S ta tistics stro n g ly u rges users to c o n sid e r a do ptin g th e natio na l averag e CPI fo r use in e sca la to r clauses. l MONTHLY LABOR REVIEW December 1986 • Current Labor Statistics: Price Data 32. Annual data: Consumer Price Index all items and major groups S eries C o nsu m e r Price Index fo r A ll U rban Consum ers: A ll item s: In d e x ................................................................................................ P ercent c h a n g e ............................................................................ Food and beverages: In d e x ................................................................................................ P ercent c h a n g e ............................................................................ Housing: In d e x ................................................................................................ P ercen t c h a n g e ............................................................................ A pp a rel and upkeep: In d e x ................................................................................................ P ercent c h a n g e ............................................................................ Tran spo rta tion : In d e x ................................................................................................ P ercen t c h a n g e ............................................................................ M e d ical care: In d e x ................................................................................................ P ercent c h a n g e ............................................................................ E ntertainm ent: In d e x ................................................................................................ P ercent c h a n g e ............................................................................ O th e r g oo d s and services: In d e x ................................................................................................ P ercent c h a n g e ............................................................................ C o nsu m e r Price Index fo r U rban W age E arners and C lerical W orkers: A ll item s: In d e x ................................................................................................ P ercent c h a n g e ............................................................................ 80 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 1977 1978 1979 1980 1981 1982 1983 1984 1985 181.5 6.5 195.4 7.7 217.4 11.3 246.8 13.5 272.4 10.4 289.1 6.1 298.4 3.2 311.1 4.3 322.2 3.6 188.0 6.0 206.3 9.7 228.5 10.8 248.0 8.5 267.3 7.8 278.2 4.1 284.4 2.2 295.1 3.8 302.0 2.3 186.5 6.8 202.8 8.7 227.6 12.2 263.3 15.7 293.5 11.5 314.7 7.2 323.1 2.7 336.5 4.1 349.9 4.0 154.2 4.5 159.6 3.5 166.6 4.4 178.4 7.1 186.9 4.8 191.8 2.6 196.5 2.5 200.2 1.9 206.0 2.9 177.2 7.1 185.5 4.7 212.0 14.3 249.7 17.8 280.0 12.1 291.5 4.1 298.4 2.4 311.7 4.5 319.9 2.6 202.4 9.6 219.4 8.4 239.7 9.3 265.9 10.9 294.5 10.8 328.7 11.6 357.3 8.7 379.5 6.2 403.1 6.2 167.7 4.9 176.6 5.3 188.5 6.7 205.3 8.9 221.4 7.8 235.8 6.5 246.0 4.3 255.1 3.7 265.0 3.9 172.2 5.8 183.3 6.4 196.7 7.3 214.5 9.0 235.7 9.9 259.9 10.3 288.3 10.9 307.7 6.7 326.6 6.1 181.5 6.5 195.3 7.6 217.7 11.5 247.0 13.5 272.3 10.2 288.6 6.0 297.4 3.0 307.6 3.4 318.5 3.5 33. Producer Price Indexes, by stage of processing (1967 = 100) A nn u al average 1985 1986 G r o u p in g F in is h e d g o o d s ............................................................... Finished co nsu m e r g oo ds .............................. Finished co nsu m e r f o o d s ............................. Finished co nsu m e r g oo ds excluding foo d s ................................................................. N ond u ra ble goo ds less foo d .................. D urable g oo ds .............................................. C apital e q u ip m e n t.............................................. 1984 1985 Nov. Dec. Jan. Feb. Mar. Apr. M ay Ju ne July Aug. 291.1 290.3 273.3 293.7 291.8 271.2 296.4 294.4 271.8 297.2 295.4 275.0 296.0 293.8 275.0 291.9 288.4 272.0 288.0 283.4 271.6 287.2 281.9 271.9 288.9 284.1 274.8 289.3 284.5 275.1 288.0 282.7 280.7 288.3 283.1 283.6 287.5 282.7 282.2 290.5 284.9 282.9 294.1 337.3 236.8 294.0 297.3 339.3 241.5 300.5 300.7 342.6 245.0 303.8 300.7 343.2 244.3 303.7 298.3 339.6 243.5 303.9 291.8 328.0 243.9 304.3 284.6 315.4 243.7 304.3 282.2 309.8 245.7 305.6 284.0 313.0 245.5 305.7 284.4 313.5 245.9 306.1 278.8 303.4 246.3 306.4 278.0 302.0 246.2 306.3 278.1 304.8 242.7 304.2 281.0 301.9 253.6 310.1 320.0 318.7 318.1 318.9 317.4 313.5 309.5 307.1 306.7 306.8 305.0 304.5 306.1 304.9 301.8 271.1 290.5 325.1 287.5 299.5 258.8 285.9 320.2 291.5 297.7 254.0 282.8 317.5 292.3 297.9 254.3 283.1 317.6 292.4 297.1 252.8 283.8 313.4 293.1 296.5 249.2 282.4 313.1 293.6 296.4 246.7 282.5 313.6 293.7 295.5 244.8 279.3 313.7 294.1 295.4 248.7 278.2 313.2 294.1 295.1 247.9 277.8 312.9 294.1 295.8 251.6 278.2 313.3 294.6 296.0 255.7 277.2 313.4 294.9 296.2 254.3 277.3 314.5 295.1 296.5 253.2 277.7 315.4 294.9 310.3 566.2 302.3 283.4 315.2 548.9 311.2 284.2 315.0 550.5 309.8 285.6 315.7 557.2 310.6 285.7 316.2 540.8 311.2 286.6 316.5 500.8 310.9 286.4 317.0 453.4 312.3 286.8 318.3 428.5 312.8 287.2 318.3 424.2 313.6 287.1 317.8 426.7 314.0 287.3 318.0 401.6 314.2 287.4 317.6 395.2 316.4 287.1 317.9 409.1 317.8 287.9 317.3 395.1 318.4 287.5 330.8 259.5 484.5 306.1 235.0 459.2 304.7 236.6 451.6 304.3 236.8 450.0 301.0 231.7 450.6 289.0 227.2 422.7 281.1 224.4 403.9 273.7 220.3 389.4 279.4 229.9 386.9 276.9 227.1 384.8 278.0 233.6 374.1 275.5 236.3 360.0 275.5 231.9 369.6 276.7 233.7 369.8 294.8 750.3 265.1 257.8 262.3 299.0 720.9 269.2 261.3 268.7 302.4 729.5 271.6 263.4 271.8 302.4 733.8 272.2 264.3 271.4 300.7 700.9 272.7 264.8 272.1 296.3 629.3 272.2 264.0 272.5 291.2 554.1 272.1 263.9 272.5 289.9 517.2 273.1 264.9 273.9 291.2 534.1 274.0 266.1 274.0 291.6 536.4 274.3 266.3 274.3 287.8 467.8 276.4 269.0 275.0 287.2 459.1 277.2 270.0 275.0 286.6 477.2 275.4 268.4 273.1 290.5 454.9 279.7 272.2 278.8 Sept. Oct. In t e r m e d ia t e m a te r ia ls , s u p p lie s , a n d c o m p o n e n t s ...................................................................... M a terials and co m p o n e n ts for m anufa ctu rin g ................................................... M a terials fo r foo d m a n u fa c tu rin g .............. M a terials fo r non du ra b le m anufa ctu rin g . M a terials fo r durable m a n u fa c tu rin g ........ C o m p on e nts fo r m a n u fa c tu rin g ................. M aterials and co m p o n e n ts fo r c o n s tru c tio n ........................................................ P rocessed fue ls and lu b r ic a n ts ..................... C o n ta in e rs ............................................................. S u p p lie s ................................................................. C r u d e m a t e r i a l s f o r f u r t h e r p r o c e s s i n g ... F o od stuffs and fe e d stu ffs ............................ N o nfo od m a te r ia ls '.......................................... S p e c ia l g r o u p in g s Finished goods, e xcluding f o o d s ..................... Finished ene rg y g oo ds ....................................... Finished g oo d s less e n e r g y .............................. Finished co nsu m e r g oo ds less e n e r g y ......... Finished g oo d s less fo o d and e n e r g y .......... Finished co nsu m e r g oo d s less foo d and e n e r g y ...................................................................... C o nsu m e r non du ra b le goo ds less fo o d and e n e rg y ...................................................................... 245.9 252.1 255.0 254.6 255.5 256.0 256.0 257.3 257.5 257.7 258.6 258.6 256.9 262.4 239.0 246.2 248.5 248.3 250.5 251.1 251.2 252.0 252.3 252.5 253.8 253.8 253.6 254.4 310.4 229.8 380.5 303.9 Inte rm e d iate m a terials less fo o d s and f e e d s ........................................................................ Inte rm e d iate fo o d s and f e e d s .......................... Inte rm e d iate e nergy g oo d s ............................... Inte rm e d iate goo ds less e n e r g y ...................... Inte rm e d iate m a terials less fo o d s and e n e r g y ...................................................................... 325.0 253.1 545.0 303.8 325.0 232.8 528.3 304.0 324.5 231.4 529.3 303.2 325.3 232.7 536.2 303.5 323.6 232.6 520.0 303.4 319.7 228.9 482.0 303.0 315.5 227.8 437.0 303.3 313.0 227.0 413.3 303.1 312.4 229.3 409.1 303.0 312.5 229.0 411.1 302.9 310.5 230.3 387.1 303.4 309.9 232.4 380.8 303.5 311.5 233.3 393.8 304.0 303.6 305.2 304.2 304.5 304.3 304.2 304.5 304.3 304.0 303.8 304.2 304.2 304.7 304.9 C rude e nergy m a te ria ls ....................................... C rude m a terials le ss e nergy ............................. C rude n o n foo d m a terials less e n e rg y ........... 785.2 255.5 266.1 748.1 233.2 249.7 737.1 233.2 244.6 735.6 233.0 242.9 732.8 229.8 245.8 662.9 226.5 246.5 614.5 224.7 247.9 577.0 221.9 249.1 570.6 229.2 249.3 563.9 227.3 250.1 538.7 232.0 249.2 524.5 231.1 236.1 544.1 228.5 239.2 539.2 230.5 242.3 1 C rude n on foo d m a terials e xcep t fuel. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 81 MONTHLY LABOR REVIEW 34. December 1986 • Current Labor Statistics: Price Data Producer Price indexes, by durability of product (1967 = 100) 1986 1985 A nnual average G r o u p in g 1984 1985 Nov. Dec. Jan. Mar. Feb. Apr. Sept. June July Aug. 300.0 294.9 300.1 294.0 299.2 295.6 302.3 294.2 T o ta l durable g o o d s ............................................ T o ta l non du ra b le g o o d s ...................................... 293.6 323.3 297.3 317.2 298.5 317.6 298.5 318.8 298.1 316.8 298.4 308.4 298.6 300.7 299.7 296.0 299.6 297.9 299.7 297.7 T o ta l m a n u fa c tu re s ............................................... 302.9 293.9 312.3 304.3 298.1 310.5 305.4 299.5 311.4 306.0 299.5 312.5 304.8 299.0 310.6 301.1 299.3 302.9 297.3 299.4 294.9 296.1 300.5 291.2 296.7 300.4 292.6 296.9 300.5 293.0 295.4 300.9 289.2 295.6 300.9 289.7 296.2 300.1 292.0 297.0 303.2 290.2 346.6 266.7 351.4 327.9 252.2 332.4 326.2 245.2 331.2 327.6 244.3 332.7 326.0 248.2 330.6 316.3 251.2 320.2 310.3 252.4 313.6 303.0 253.1 305.8 306.2 252.1 309.3 304.2 251.2 307.2 304.3 248.9 307.4 299.7 252.4 302.3 299.2 253.2 301.7 298.8 252.0 301.4 N o n d u ra b le .......................................................... T o ta l raw o r slig h tly pro cesse d g oo d s ......... N o ndurable .......................................... ............... 35. Annual data: Producer Price Indexes, by stage of processing (1967 = 100) In d e x 1977 1978 1979 1980 1981 1982 1983 1984 1985 181.7 180.7 184.6 195.9 194.9 199.2 217.7 217.9 216.5 247.0 248.9 239.8 269.8 271.3 264.3 280.7 281.0 279.4 285.2 284.6 287.2 291.1 290.3 294.0 293.7 291.8 300.5 201.5 215.6 243.2 280.3 306.0 310.4 312.3 320.0 318.7 195.4 203.4 282.5 188.3 188.7 208.7 224.7 295.3 202.8 198.5 234.4 247.4 364.8 226.8 218.2 265.7 268.3 503.0 254.5 244.5 286.1 287.6 595.4 276.1 263.8 289.8 293.7 591.7 285.6 272.1 293.4 301.8 564.8 286.6 277.1 301.8 310.3 566.2 302.3 283.4 299.5 315.2 548.9 311.2 284.2 209.2 192.1 245.0 372.1 234.4 216.2 272.3 426.8 274.3 247.9 330.0 507.6 304.6 259.2 401.0 615.0 329.0 257.4 482.3 751.2 319.5 247.8 473.9 886.1 323.6 252.2 477.4 931.5 330.8 259.5 484.5 931.3 306.1 235.0 459.2 909.6 F in is h e d g o o d s : T o t a l................................................................................... C o nsu m e r goo ds ....................................................... C apital e q u ip m e nt .................................................... In t e r m e d ia t e m a te r ia ls , s u p p lie s , a n d c o m p o n e n ts : T o ta l ................................................................................... M a terials and co m p o n e n ts for m a n u fa c tu rin g ........................................................... M aterials and co m p o n e n ts fo r co n stru ctio n .... P rocessed fu e ls and lu brica nts ............................ C o n ta in e r s ................................................................... S u p p lie s ........................................................................ C r u d e m a te r ia ls f o r f u r t h e r p r o c e s s in g : To ta l ................................................................................... Fo od stuffs and fe e d stu ffs ...................................... N o nfo od m a terials e xcep t fuel ............................ Fuel ................................................................................ 82 O ct. M ay https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 36. U.S. export price indexes by Standard International Trade Classification (June 1 9 7 7 = 1 0 0 , unless o th e rw ise indicated) C a te g o ry 1974 SITO June 1986 1985 1984 Mar. Sept. Dec. Mar. June Sept. Dec. Mar. Ju ne Sept. 100.2 101.5 99.3 98.1 97.5 97.5 96.5 96.7 97.0 96.7 95.1 ( 3 / 8 3 - 1 0 0 ) ........................................................................................................... M eat ( 3 / 8 3 - 1 0 0 ) ......................................................................................................... Fish ( 3 / 8 3 - 1 0 0 ) .......................................................................................................... G rain and grain p re pa ra tion s ( 3 / 8 0 — 100) ......................................................... V eg e ta b les and fru it ( 3 / 8 3 — 100) .......................................................................... F e e d stuffs fo r a nim als (3 /8 3 — 1 0 0 )....................................................................... M isc. fo o d p ro du cts (3 /8 3 — 1 0 0 ) ........................................................................... 0 01 03 04 05 08 09 106.2 108.9 99.8 102.7 116.2 106.9 104.9 109.6 108.7 98.7 107.4 126.9 98.8 110.6 103.5 105.6 98.0 101.2 125.6 83.5 109.5 96.5 104.4 98.7 92.9 114.7 82.4 108.4 95.8 103.9 101.0 92.4 119.5 72.8 110.6 94.0 104.7 103.6 90.3 120.2 68.6 109.2 90.2 106.1 102.6 82.6 126.9 75.7 108.1 93.6 112.2 101.8 87.1 118.9 83.4 107.7 90.5 111.5 102.2 82.1 115.3 88.5 106.0 89.5 114.7 106.2 79.1 125.8 85.5 104.7 77.2 122.0 111.2 59.0 131.4 90.2 106.6 (6 /8 3 — 1 0 0 ) ................................................................... B eve ra ge s ( 9 / 8 3 - 1 0 0 ) .............................................................................................. T o b a c c o and to b a cco p ro du cts (6 /8 3 — 1 0 0 ) ..................................................... 1 11 12 101.6 102.3 101.6 101.9 102.9 101.8 102.8 103.3 102.7 101.3 103.7 101.1 99.9 104.0 99.5 100.1 105.3 99.6 99.7 101.8 99.5 98.6 100.9 98.4 95.6 101.9 95.1 96.5 103.0 95.9 96.3 102.2 95.8 ( 6 / 8 3 - 1 0 0 ) ..................................................................................... R aw hides and skin s ( 6 / 8 0 — 1 0 0 ) ......................................................................... O ilse ed s and o lea g in ou s fru it (9 /7 7 — 1 0 0 ) ......................................................... C rude rubber (including syn th e tic a nd reclaim ed) (9 /8 3 — 1 0 0 ) .................. W o o d ................................................................................................................................. Pulp and w a ste p ap er (6 /8 3 — 1 0 0 ) ....................................................................... T e xtile fib e r s ................................................................................................................... C rude fe rtilize rs and m in e ra ls .................................................................................. M e talliferou s o re s and m etal scra p ....................................................................... 2 21 22 23 24 25 26 27 28 112.5 145.6 93.9 103.3 131.1 112.5 120.5 146.6 100.2 118.3 154.7 104.3 106.0 129.4 122.1 125.6 147.7 98.5 105.2 153.7 79.9 104.1 123.8 120.8 109.4 163.0 93.2 101.4 133.6 74.8 104.0 125.4 114.2 106.7 163.2 92.4 97.5 121.0 71.0 106.4 128.7 100.5 102.4 165.6 89.2 96.8 126.2 71.2 106.3 125.7 96.1 105.8 167.9 82.0 93.3 129.0 64.2 107.1 124.5 93.8 103.6 169.4 80.1 92.5 139.9 63.9 106.0 128.1 92.7 97.7 165.5 78.7 95.8 138.9 66.9 106.0 128.7 98.8 101.6 168.0 83.4 95.6 148.9 65.8 106.1 128.7 109.7 98.6 166.1 80.5 92.3 138.0 64.5 105.3 129.7 120.7 74.7 164.3 84.6 M i n e r a l f u e l s ............................................................................................................................................... 3 99.1 99.7 99.7 99.7 100.1 99.2 97.6 96.6 91.9 86.7 85.7 A n i m a l a n d v e g e t a b l e s o i l s , f a t s , a n d w a x e s .............................................................. Fixed ve g e ta b le oils and fa ts ( 6 / 8 3 - 1 0 0 ) ......................................................... 4 42 129.8 133.2 164.5 176.4 145.7 159.0 147.9 156.7 142.0 152.9 144.5 164.8 114.5 128.8 101.4 108.7 90.8 95.4 84.4 95.3 76.5 80.8 ( 3 / 8 3 - 1 0 0 ) ................................................................................................ O rg an ic ch em icals (1 2 /8 3 — 1 0 0 ) ............................................................................ Fertilizers, m an ufa ctu re d ( 3 / 8 3 - 1 0 0 ) .................................................................. 5 51 56 101.4 100.2 108.3 99.7 101.0 96.9 98.3 97.4 97.4 97.7 94.7 94.8 97.0 93.8 92.5 96.8 96.5 87.9 97.1 97.1 89.8 96.6 95.4 90.0 96.5 93.5 88.6 95.4 89.3 84.0 93.1 88.0 77.4 101.0 83.5 146.7 150.2 95.9 94.2 103.1 101.3 81.2 147.5 154.7 96.1 92.9 104.5 102.0 80.8 148.9 160.0 96.8 90.4 105.1 100.4 79.0 148.5 159.5 96.5 82.5 105.0 99.4 82.5 150.2 155.0 95.5 79.7 105.4 99.2 79.2 149.0 151.6 95.3 79.6 105.2 99.2 75.9 148.3 149.6 95.9 79.8 105.4 99.1 78.5 148.7 148.2 98.2 78.2 104.4 100.3 77.8 151.0 152.2 98.4 80.2 105.3 101.2 82.5 150.0 158.7 99.4 79.1 105.5 102.2 84.2 150.4 165.3 100.2 79.4 105.6 67 68 69 7 71 72 73 74 75 76 138.5 158.4 152.3 150.8 148.6 101.4 133.0 110.2 130.2 183.1 139.4 156.9 152.8 151.2 149.0 101.5 132.3 112.6 131.2 187.7 140.1 160.6 153.7 151.7 149.3 99.8 134.4 113.8 131.0 189.6 141.5 167.5 153.4 151.9 150.2 101.4 134.3 114.6 131.8 191.7 142.3 165.3 155.0 153.4 152.4 100.9 133.3 114.9 133.1 195.5 142.9 167.4 155.7 155.1 152.0 100.0 133.3 116.1 133.9 196.6 143.1 167.1 156.0 156.3 152.4 99.9 134.1 115.3 133.8 199.3 143.3 167.5 156.2 158.4 152.2 99.4 134.5 113.8 135.0 200.7 144.0 169.1 155.5 159.0 152.3 99.9 136.5 115.1 135.5 203.3 144.1 169.2 154.7 158.9 153.3 99.2 137.0 114.2 136.4 205.6 144.4 169.5 155.0 160.4 154.4 98.8 137.8 114.2 136.5 206.0 77 78 79 100.6 101.9 171.8 100.4 102.1 172.0 100.7 103.9 175.8 99.3 103.4 171.7 99.5 104.7 175.5 100.4 104.7 178.3 100.3 105.0 178.7 100.3 105.3 178.8 102.6 103.4 104.1 182.1 183.8 183.8 8 132.0 131.3 132.7 130.3 128.0 129.1 127.5 128.5 131.6 132.9 132.7 M iscellan eo u s m an ufa ctu re d articles, n .e .s.......................................................... 84 98.5 97.9 95.2 94.1 92.4 93.1 93.1 92.4 95.6 95.6 97.6 G o l d , n o n - m o n e t a r y ( 6 / 8 3 - 1 0 0 ) ............................................................................................. 971 95.8 93.5 81.7 79.5 69.1 75.4 77.4 77.5 81.8 82.2 97.5 A L L C O M M O D IT IE S ( 9 / 8 3 - 1 0 0 ) ............................................................................ Food B e v e ra g e s a n d to b a c c o C r u d e m a te r ia ls C h e m ic a ls ( 9 / 8 1 - 1 0 0 ) ........................................ L eather and fu rskin s ( 9 / 7 9 — 1 0 0 ) .......................................................................... R ubb e r m an ufa ctu re s ................................................................................................. P aper and paperbo a rd p ro du cts (6 /7 8 = 1 0 0 ) .................................................... Iron and stee l ( 3 / 8 2 - 1 0 0 ) ....................................................................................... N onfe rro u s m etals ( 9 / 8 1 —100) .............................................................................. M etal m a nufactures, n.e.s. (3 /8 2 = 100) .............................................................. In t e r m e d ia t e m a n u fa c tu r e d p r o d u c t s 6 61 62 64 - M a c h in e r y a n d t r a n s p o r t e q u ip m e n t, e x c lu d in g m ilita r y (1 2 /7 8 — 100) ............................................................... P ow er gen eratin g m achinery and equ ip m e nt ( 1 2 /7 8 = 1 0 0 ) ........................ M ach ine ry sp ecia lize d fo r p articula r industries ( 9 / 7 8 — 100) ........................ M e talw orking m achinery ( 6 / 7 8 - 1 0 0 ) .................................................................. G eneral industrial m ach ine s and p arts n.e.s. 9 / 7 8 — 1 0 0 ) ............................. O ffice m ach ine s and a u to m a tic d ata pro cessin g e qu ip m e nt ....................... T e le com m un ica tion s, sound reco rding and reprod u cin g e q u ip m e n t......... E lectrical m ach ine ry and e q u ip m e n t...................................................................... R oad ve hicles and p arts ( 3 / 8 0 - 1 0 0 ) .................................................................. O th e r tra n sp o rt equipm ent, excl. m ilitary and co m m e rcia l a viation ......... a n d c o m m e r c ia l a ir c r a ft O th e r m a n u fa c tu r e d a r tic le s ...................................................................................................... A pp a rel ( 9 / 8 3 - 1 0 0 ) .................................................................................................... P rofessional, scie ntific, and co n tro llin g in stru m en ts a nd a p p a ra tu s .......... P ho tog ra ph ic a pp aratu s a nd supplies, o ptica l g oods, w a tch e s and c lo c k s ( 1 2 / 7 7 - 1 0 0 ) .................................................................................................. - - - - Data not available. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 83 MONTHLY LABOR REVIEW December 1986 • Current Labor Statistics: Price Data 37. U.S. import price indexes by Standard international Trade Classification (June 1 9 7 7 = 1 0 0 , u nless o th e rw ise indicate d) C a te g o ry 1974 SITC ( 9 / 8 2 = 1 0 0 ) ............................................................................. 1984 Sept. 1986 1985 Dec. Mar. June Sept. Dec. Mar. June Sept. 96.7 95.7 93.5 93.0 92.9 94.2 88.5 83.2 83.8 0 01 02 03 102.0 135.4 98.9 134.2 98.1 132.3 98.4 133.9 98.5 130.4 98.3 132.9 96.8 118.2 97.9 129.4 94.9 120.6 99.1 129.7 102.8 131.2 100.5 132.7 113.4 122.7 106.7 139.3 104.7 118.5 107.1 144.8 109.1 126.9 109.4 149.6 04 05 06 07 132.9 135.4 119.0 60.3 132.8 117.2 118.5 58.4 131.8 127.1 118.4 57.0 132.3 129.4 122.6 56.0 136.3 120.2 123.1 54.4 141.9 131.3 111.9 64.6 146.9 119.4 124.6 85.9 149.2 119.4 121.6 69.2 154.0 127.1 123.9 71.8 1 11 157.1 153.5 156.5 152.8 156.2 154.2 157.1 154.3 158.0 156.0 162.1 159.1 163.2 161.8 165.5 163.9 165.8 165.5 C rude rubber (inc. syn th e tic & recla im e d) ( 3 / 8 4 - 1 0 0 ) ................................. W o o d ( 9 / 8 1 - 1 0 0 ) ....................................................................................................... Pulp and w a ste p ap er (1 2 /8 1 —1 0 0 ) ..................................................................... C rude fe rtilize rs and cru d e m inerals ( 1 2 /8 3 - 1 0 0 ) ......................................... M e ta llife ro u s o re s a nd m etal scra p ( 3 / 8 4 — 1 0 0 ) .............................................. C rude ve g e ta b le and anim al m aterials, n .e .s....................................................... 2 23 24 25 27 28 29 100.6 90.7 99.6 96.3 98.0 100.1 101.1 98.9 83.8 104.0 93.2 98.6 95.6 106.4 94.0 77.6 100.7 84.0 100.3 90.4 104.3 93.6 76.4 106.9 80.4 101.7 87.6 104.9 91.5 68.9 101.6 76.8 102.7 89.5 102.5 91.2 73.2 99.4 75.8 102.1 90.1 102.5 94.2 78.8 104.3 74.9 101.5 94.5 103.6 95.3 75.5 106.3 79.9 100.0 95.6 104.4 98.2 76.9 109.4 86.0 100.4 98.2 104.8 (6 /8 2 — 1 0 0 ) ............................................................. P etro le um and p e tro le um p ro d u cts ( 6 / 8 2 — 100) ............................................... 3 33 86.9 87.0 85.2 85.2 82.9 83.8 80.9 81.6 79.8 80.3 79.1 80.1 55.3 54.7 37.5 36.1 33.3 31.8 ( 9 / 8 3 — 1 0 0 ) ........................................................................................... V eg e ta b le oils (9 /8 3 — 1 0 0 ) ....................................................................................... 4 42 124.4 125.3 114.9 115.3 89.9 89.5 76.7 75.9 57.6 56.2 50.6 48.9 41.4 39.3 39.3 37.4 35.5 33.5 ( 9 / 8 2 - 1 0 0 ) ................................................................................................ M e d icin al and pha rm a ce utica l p ro du cts ( 3 / 8 4 - 1 0 0 ) ..................................... M an ufa ctu re d fe rtilize rs (3 /8 4 — 1 0 0 ) ..................................................................... C h em ica l m a terials and products, n.e.s. ( 9 / 8 4 — 1 0 0 ) ..................................... 5 54 56 59 98.8 96.4 98.5 100.0 97.1 94.6 92.9 97.5 95.7 91.6 94.2 96.1 94.9 95.1 82.0 95.6 94.5 95.3 80.8 96.9 94.2 96.7 78.5 97.8 94.6 102.9 79.2 99.9 93.3 104.9 79.7 100.3 93.4 110.0 77.4 101.0 (1 2 /7 7 — 100) ..................................... L ea the r and f u r s k in s .................................................................................................... R ubb e r m a nufactures, n .e .s........................................................................................ C ork and w o od m a n ufa ctu re s ................................................................................. P aper and pap erbo a rd p ro du cts ............................................................................. T e x tile s .............................................................................................................................. N o n m e ta llic m ineral m anufa ctu re s, n .e .s............................................................... Iron and steel (9 /7 8 — 100) ................. ..................................................................... N o n fe rro u s m e tals (1 2 /8 1 — 100) ............................................................................ M e tal m anufa ctu re s, n.e .s........................................................................................... 6 61 62 63 64 65 66 67 68 69 137.2 144.0 139.6 126.4 156.1 131.6 156.6 124.7 90.2 119.3 136.8 140.4 140.5 126.1 157.5 132.9 159.4 123.7 87.3 119.3 133.1 135.3 139.5 121.3 157.6 130.4 154.2 121.0 81.9 117.4 132.4 133.3 138.6 121.2 157.2 127.5 151.7 120.1 82.3 117.8 133.6 137.0 137.3 123.4 157.8 126.5 157.6 119.1 83.7 119.5 133.4 141.3 138.1 124.0 156.5 128.1 162.2 118.3 80.4 121.6 134.0 141.6 136.5 130.8 157.1 131.2 164.2 117.3 79.4 124.4 135.6 143.0 137.7 134.3 157.1 132.9 169.6 118.1 78.9 127.8 138.8 147.4 138.1 137.4 157.5 135.4 178.2 119.0 83.5 129.1 M a c h i n e r y a n d t r a n s p o r t e q u i p m e n t ( 6 / 8 1 — 1 0 0 ) .................................................. 7 72 73 74 102.6 98.8 92.1 92.4 102.9 98.0 89.9 91.3 101.6 96.2 86.3 89.2 102.6 97.0 90.5 91.1 103.5 101.4 94.2 94.3 107.2 104.9 98.1 98.0 111.5 112.1 105.0 103.8 115.3 115.4 107.7 109.0 118.1 120.1 110.7 112.8 A L L C O M M O D IT IE S ( 9 / 7 7 = 1 0 0 ) ............................................................................................................ M eat ................................................................................................................................... D airy p ro du cts a nd eggs (6 /8 1 = 1 0 0 ) ................................................................ Food B akery goods, pasta pro du cts, grain and grain pre pa ra tion s ( 9 /7 7 = 1 0 0 ) ................................................................................................................... Fruits and ve ge tab le s ................................................................................................. S ugar, sugar prepa ra tion s, and hon ey ( 3 / 8 2 - 1 0 0 ) ........................................ C offe e , tea, c o c o a ........................................................................................................ B e v e ra g e s a n d to b a c c o .................................................................................................................. B eve ra ge s ....................................................................................................................... C r u d e m a t e r i a l s ....................................................................................................................................... F u e ls a n d r e la te d p r o d u c t s F a t s a n d o ils C h e m ic a ls In te r m e d ia te m a n u fa c tu r e d p r o d u c ts M a ch ine ry specia lize d fo r p articula r in du strie s (9 /7 8 = 100) ........................ M e talw orking m a ch ine ry ( 3 / 8 0 — 100) ................................................................... G en e ra l industrial m ach ine ry and parts, n.e.s. (6 /8 1 — 100) ........................ O ffice m a ch ine s and a u to m a tic d ata pro cessin g e qu ip m e nt ( 3 / 8 0 - 1 0 0 ) .................................................................................................................. T e le co m m u n ica tio n s, sound re co rding and re p rod u cin g apparatu s ( 3 / 8 0 - 1 0 0 ) .................................................................................................................. E le ctrical m ach ine ry and e qu ip m e nt (1 2 /8 1 — 1 0 0 ) ......................................... R oad ve hicles a nd parts (6 /8 1 — 1 0 0 ) ................................................................... 75 94.1 92.2 89.6 89.4 90.3 93.7 96.9 100.8 102.1 76 77 78 93.6 87.0 109.8 91.3 86.4 111.3 90.0 82.1 111.5 88.8 83.9 112.1 88.3 81.4 112.7 88.6 83.1 117.8 89.4 84.5 123.4 91.6 87.5 127.1 93.7 89.5 129.8 ( 3 / 8 0 — 1 0 0 ) ............................................................ P lum bing, heating, and lighting fixtures ( 6 / 8 0 - 1 0 0 ) ...................................... Furniture and p arts ( 6 / 8 0 — 100) ............................................................................. C lo thing ( 9 / 7 7 - 1 0 0 ) ................................................................................................... F o o tw e a r........................................................................................................................... P rofessional, scie ntific, and co n tro llin g in stru m en ts and a pp aratu s (1 2 /7 9 — 1 0 0 ) ............................................................................................ P ho tog ra ph ic a pp aratu s and supplies, o p tica l g oods, w a tche s, and c lo cks ( 3 / 8 0 - 1 0 0 ) ..................................................................................................... Mise, m a n ufa ctu re d article s, n.e.s. ( 6 / 8 2 — 1 0 0 ) ............................................... 8 81 82 84 85 99.7 110.7 138.4 135.4 138.4 100.0 111.6 142.5 138.5 142.5 97.0 113.9 137.4 136.7 137.4 98.0 114.1 136.7 133.9 136.7 99.6 117.8 142.1 134.5 142.1 100.8 115.0 142.7 134.5 142.7 103.3 120.1 147.0 133.4 147.0 104.8 123.5 142.2 135.3 142.2 109.5 125.5 145.8 137.8 145.8 87 95.6 92.9 89.2 92.3 98.8 102.4 106.4 112.5 118.5 88 89 91.2 98.3 91.3 96.3 88.9 91.2 89.5 95.2 91.1 96.4 94.5 97.9 99.3 102.1 103.2 103.4 106.8 112.3 G o l d , n o n - m o n e t a r y ( 6 / 8 2 - 1 0 0 ) ............................................................................................. 971 106.4 103.6 90.1 98.3 101.1 101.0 106.7 107.3 126.9 M is e , m a n u f a c t u r e d a r tic le s 84 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 38. U.S. export price indexes by end-use category (S e pte m b er 1983 = 100 u nless o th e rw ise indicated) C a te g o ry P er ce nta ge o f 1980 trade value Foods, feeds, and beve ra ge s ........................................................ R aw m a te r ia ls ................................................................ R aw m aterials, non du ra b le ......................................................_ ............ R aw m aterials, d u r a b le ......................................................... C apital g o o d s (1 2 /8 2 = 1 0 0 ) ....................................................................... A u to m o tive ve hicles, parts and e ng in es (1 2 /8 2 = 100) .................... C o nsu m e r g o o d s .................................................................... D urables ............................................................ N o n d u ra b le s ..................................................................... 39. 1984 Sept. 16.294 30.696 21.327 9.368 30.186 7.483 7.467 3.965 3.501 1985 Dec. 88.8 100.5 102.8 95.0 104.6 105.3 101.3 99.4 103.0 Mar. 83.0 99.1 101.4 93.3 105.6 105.7 100.8 99.3 102.3 June 81.5 97.6 99.6 92.6 106.2 106.7 100.9 99.1 102.7 1986 Sept. 80.9 97.2 99.5 91.6 106.6 108.0 101.1 99.2 103.0 Dec. 76.2 96.5 98.7 91.1 106.6 108.1 101.9 100.4 103.3 Mar. 77.5 95.9 97.9 91.0 106.6 109.2 101.4 99.5 103.3 June 75.5 96.0 97.5 92.5 107.4 109.5 103.7 101.8 105.5 Sept. 74.7 94.9 96.1 91.9 107.5 110.4 104.5 101.8 107.2 66.0 93.4 93.7 92.5 107.6 110.8 104.5 102.1 106.9 U.S. import price indexes by end-use category (D ece m b er 1 9 8 2 = 1 0 0 ) C a te g o ry A u to m o tive vehicles, parts and e n g in e s ................................................ 40. 7.477 31.108 19.205 9.391 9.814 13.164 11.750 14.250 5.507 8.743 105.6 87.5 102.5 101.7 103.3 98.0 104.0 100.6 98.8 103.0 101.8 85.7 101.1 100.7 101.6 97.8 105.2 101.1 98.5 104.6 100.4 82.1 95.8 93.9 97.8 96.3 105.9 99.4 97.0 102.5 102.1 84.4 96.3 95.0 97.7 94.8 105.4 99.5 97.0 103.0 115.8 55.4 94.5 91.1 98.1 102.8 115.6 104.5 103.4 106.0 99.0 80.9 95.4 93.5 97.4 97.6 106.4 101.0 98.9 103.9 106.0 80.5 93.9 91.8 96.2 100.0 111.4 102.4 100.7 104.7 Dec. Mar. Sept. June Mar. Dec. Sept. June Mar. Dec. Sept. 1986 1985 1984 Perce n ta g e o f 1980 trade value 112.3 32.3 95.3 89.5 101.4 109.4 121.0 110.1 111.2 108.6 108.2 36.8 94.0 89.7 98.7 106.7 119.0 106.5 106.5 106.6 U.S. export price indexes by Standard Industrial Classification 1 1986 1985 1984 In d u s try g ro u p Sept. M a nufacturing: Food and kindred p ro du cts (6 /8 3 — 100) ................................ L um be r and w o od pro du cts, e xce p t furnitu re ( 6 / 8 3 - 1 0 0 ) ..................................................................................... Furniture and fixtures (9 /8 3 — 100) ............................................ P aper and allied p ro du cts (3 /81 — 1 0 0 ) .................................... C h em ica ls and allie d p ro du cts (1 2 /8 4 — 1 0 0 ) ........................ P etro le um a nd co al p ro du cts (1 2 /8 3 — 1 0 0 ) .......................... P rim ary m etal p ro du cts (3 /8 2 — 100) ........................................ M achinery, e xce p t e le ctrica l ( 9 / 7 8 — 100) ............................... E le ctrical m a ch ine ry (1 2 /8 0 — 100) ............................................ T ra n sp o rta tio n e q u ip m e nt (1 2 /7 8 — 1 0 0 ) ................................. S cie n tific instru m en ts; o ptica l goods; clo cks ( 6 / 7 7 - 1 0 0 ) ..................................................................................... Dec. Mar. June Sept. June Sept. 105.6 103.3 99.5 99.5 96.7 98.1 97.0 95.0 95.2 97.0 103.5 106.1 101.3 100.7 100.0 138.0 110.7 157.7 97.9 104.9 103.6 100.7 100.4 95.8 139.9 111.1 158.8 99.9 105.2 97.1 100.3 101.3 91.2 140.4 111.3 160.4 99.5 106.5 94.7 99.6 102.7 92.7 140.5 112.4 161.8 98.3 107.1 93.2 99.7 102.0 93.6 140.6 111.9 162.6 101.2 108.4 92.1 99.2 99.1 93.6 140.5 111.2 164.1 101.5 109.2 95.7 98.9 93.5 96.4 140.6 112.6 165.1 101.2 109.7 101.5 98.3 83.1 96.6 140.3 112.3 166.8 102.1 110.1 106.4 96.2 83.1 101.6 140.5 112.5 167.1 156.0 153.0 154.9 156.6 156.2 156.7 159.7 161.2 161.5 1 SIC - based cla ssifica tion . https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 85 MONTHLY LABOR REVIEW 41. December 1986 • Current Labor Statistics: Price Data U.S. import price indexes by Standard Industrial Classification 1 1984 1985 1986 Industry group Sept. M anufacturing: Fo od and kindred p ro du cts (6 /7 7 = 1 0 0 ) ........................................ T e xtile mill p ro du cts ( 9 / 8 2 - 1 0 0 ) ....................................................... A pp a rel and re la ted p ro du cts ( 6 / 7 7 = 1 0 0 ) ..................................... L um ber and w o od pro du cts, e xce p t furniture (6 /7 7 = 1 0 0 ) ............................................................................................. Furniture and fixtures (6 /8 0 = 1 0 0 ) ..................................................... P aper and allied p ro du cts ( 6 / 7 7 = 1 0 0 ) ............................................ C h em ica ls and allie d p ro du cts ( 9 /8 2 = 1 0 0 ) .................................. R ubb e r and m iscellan eo u s p lastic p ro du cts ( 1 2 / 8 0 = 1 0 0 ) ........................................................................................... L ea the r a nd le a th e r p ro du cts .............................................................. P rim ary m etal p ro du cts (6 /8 1 = 1 0 0 ) ................................................ F a bricate d m etal p ro du cts (1 2 /8 4 = 1 0 0 ) ........................................ M achinery, e xce p t e le ctrica l (3 /8 0 = 100) ....................................... E le ctrical m ach ine ry (9 /8 4 = 1 0 0 )....................................................... T ra n sp o rta tio n e q u ip m e nt (6 /81 = 1 0 0 ) ............................................ S cie n tific instrum ents; o ptica l goods; clo cks ( 1 2 / 7 9 = 1 0 0 ) ........................................................................................... M iscellan eo u s m an ufa ctu re d co m m o dities ( 9 / 8 2 - 1 0 0 ) ............................................................................................. Dec. Mar. Sept. Mar. Dec. June Sept. 124.1 104.3 133.9 122.6 104.7 138.2 118.8 102.8 135.6 115.0 101.0 133.0 114.2 100.4 133.9 115.1 101.8 134.4 117.7 104.7 133.4 115.6 106.4 135.1 118.1 107.4 137.8 117.3 96.2 146.1 99.8 120.0 95.6 145.5 98.2 116.3 93.9 141.5 95.3 120.6 96.1 139.8 93.9 117.5 97.7 138.7 93.3 115.8 98.2 137.4 95.8 122.1 101.2 137.6 98.6 124.8 103.5 139.4 102.1 127.9 105.4 142.2 103.8 97.8 141.6 88.3 95.5 100.0 110.7 98.0 144.2 86.6 100.0 94.1 98.6 112.9 96.9 139.1 82.2 99.0 91.8 95.1 113.1 96.7 138.9 83.0 99.1 93.4 95.8 114.2 96.6 142.3 83.4 101.0 96.6 94.5 114.8 97.5 144.0 81.9 102.6 100.0 95.8 119.6 100.9 145.8 82.0 104.9 105.5 97.0 123.9 100.6 144.6 82.4 108.5 108.9 100.2 128.0 101.9 147.7 86.4 110.3 112.5 102.6 130.4 94.4 93.2 90.7 91.7 94.6 98.8 103.9 109.1 113.7 95.8 96.4 95.1 95.1 96.6 98.7 99.9 101.7 106.9 - 1 SIC - based cla ssifica tion . 42. June - Data n o t available. Indexes of productivity, hourly compensation, and unit costs, quarterly data seasonally adjusted (1977 = 100) A nnual average Q ua rte rly Indexes Item 1984 1985 1986 1984 I II III IV I II III IV I II III Business: O utp ut per hou r o f all p e r s o n s .................................... C om p en sa tion per h o u r ............................................... Real co m p e n sa tio n per h o u r ....................................... U nit labor co sts ................................................. U nit n o n la bo r paym en ts ................................................ Im p licit price d e fla to r ...................................................... 105.3 168.1 98.1 159.7 156.3 158.5 104.9 165.9 98.1 158.2 154.1 156.7 105.6 167.1 97.9 158.3 156.7 157.7 105.5 169.0 98.1 160.2 157.0 159.0 105.5 170.6 98.2 161.7 157.7 160.3 105.7 172.3 98.4 163.1 158.3 161.4 106.4 174.5 98.7 164.0 160.0 162.6 107.3 176.4 99.1 164.4 161.4 163.4 106.4 178.0 99.0 167.3 159.6 164.6 107.3 179.1 99.2 167.0 162.2 165.3 107.4 180.4 100.3 168.0 161.9 165.8 107.4 181.7 100.4 169.1 163.7 167.2 104.3 167.9 98.0 161.0 156.1 159.3 103.9 165.6 97.9 159.4 153.2 157.2 104.6 166.9 97.8 159.5 156.4 158.4 104.4 168.7 98.0 161.5 157.2 160.0 104.3 170.4 98.1 163.3 157.9 161.4 104.4 172.1 98.2 164.8 158.9 162.7 104.9 174.0 98.4 165.9 160.8 164.1 105.4 175.4 98.5 166.3 163.0 165.2 104.5 177.0 98.4 169.3 160.3 166.2 105.6 178.3 98.8 168.8 163.9 167.1 105.7 179.3 99.8 169.6 163.7 167.5 105.8 180.4 99.7 170.5 165.9 168.9 105.6 165.9 96.8 161.5 157.0 174.6 133.4 160.1 158.1 105.3 163.6 96.8 159.4 155.4 171.1 134.4 158.3 156.4 105.9 164.8 96.6 160.1 155.7 173.1 138.5 161.0 157.5 105.5 166.6 96.7 162.6 157.9 176.4 130.3 160.3 158.7 105.8 168.3 96.8 163.8 159.1 177.5 130.5 161.0 159.8 106.0 169.9 97.0 164.9 160.3 178.5 129.3 161.3 160.6 106.5 171.6 97.0 165.8 161.1 179.8 130.2 162.5 161.6 107.8 173.1 97.2 165.0 160.5 178.3 141.7 165.5 162.2 107.0 174.5 97.0 167.2 163.0 179.8 131.2 162.8 162.9 106.9 175.4 97.1 168.3 164.0 181.1 131.7 163.8 164.0 106.8 176.1 97.9 168.6 164.8 179.9 132.3 163.2 164.3 106.9 176.8 97.7 169.8 165.4 182.8 134.4 165.9 165.6 116.6 168.2 98.1 144.2 114.7 165.4 97.8 144.1 115.7 166.8 97.8 144.2 117.8 169.1 98.2 143.5 118.2 171.5 98.7 145.1 119.3 173.8 99.2 145.7 121.7 175.6 99.3 144.3 123.0 178.1 100.0 144.8 122.9 179.3 99.7 145.8 123.7 180.2 99.8 145.7 124.7 181.4 100.9 145.5 125.8 182.5 100.9 145.0 Nonfarm business: O utp ut per hou r o f all p e r s o n s .................................... C o m p en sa tion p er h o u r ................................................. R eal co m p en satio n per h o u r ....................................... U nit la bo r co sts ............................................................. U nit n o n la bo r paym en ts ................................................ Im plicit price d e fla to r ...................................................... Nonfinancial corporations: O utp ut per hou r of all e m p lo y e e s .............................. C o m p en sa tion per h o u r ........................................ R eal co m p e n sa tio n per h o u r ....................................... Total unit c o s t s ............................................... Unit labor co sts ............................................................. U nit n o n la bo r c o s t s ...................................................... U nit p r o fits ........................................... U nit n on la bo r paym en ts ................................................ Im p licit price d e fla to r ............................................... Manufacturing: O utp ut per hou r o f all p e r s o n s .................................... C om p en sa tion per h o u r ................................................. Real co m p e n sa tio n per h o u r ....................................... U nit la bo r co sts ........................................................ 86 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 43. Annual indexes of multifactor productivity and related measures, selected years (1977 = 100) Item 1960 1970 1974 1973 1976 1979 1978 1981 1980 1982 1984 1983 P r iv a te b u s in e s s P roductivity: O utp ut per hour of all p e r s o n s ................................ O u tp u t per unit o f ca pita l s e rv ic e s ......................... M u ltifa cto r p ro d u c tiv ity ................................................ O u t p u t .................................................................................. Inputs: H ours o f all p e r s o n s ..................................................... C apital se rvice s ............................................................. C om b in ed units of labor and capital in p u t .......... C a pita l per hou r o f all p e r s o n s .................................... P riv a te n o n fa r m 67.3 102.4 78.2 55.3 88.4 102.0 92.9 80.2 95.9 105.3 99.1 93.0 93.8 98.8 95.6 91.2 98.4 97.2 98.0 94.5 100.8 102.0 101.2 105.8 99.5 99.8 99.7 107.9 99.2 94.2 97.4 106.6 100.6 92.4 97.7 108.9 100.3 86.6 95.2 105.4 103.0 88.3 97.6 109.9 105.4 92.4 100.6 118.9 82.2 54.0 70.7 65.7 90.8 78.7 86.3 86.7 96.9 88.3 93.8 91.1 97.2 92.4 95.5 95.0 96.1 97.2 96.5 101.2 105.0 103.8 104.5 98.8 108.4 108.0 108.2 99.7 107.5 113.1 109.4 105.3 108.2 117.8 111.5 108.8 105.2 121.7 110.7 115.7 106.7 124.4 112.6 116.7 112.8 128.7 118.1 114.1 70.7 103.7 80.9 54.4 89.2 102.8 93.7 79.9 96.4 106.0 99.6 92.9 94.3 99.2 96.0 91.1 98.5 97.3 98.1 94.4 100.8 101.9 101.2 106.0 99.2 99.0 99.1 107.9 98.7 93.4 96.9 106.6 99.6 91.1 96.7 108.4 99.1 85.1 94.1 104.8 102.4 87.3 97.0 110.0 104.3 90.9 99.6 118.9 77.0 52.5 67.3 68.2 89.6 77.7 85.3 86.8 96.3 87.6 93.3 91.0 96.6 91.9 95.0 95.1 95.8 97.0 96.2 101.3 105.1 104.0 104.7 98.9 108.8 109.0 108.9 100.1 108.0 114.1 110.0 105.6 108.8 119.0 112.2 109.4 105.7 123.2 111.4 116.5 107.4 126.1 113.5 117.4 114.0 130.8 119.4 114.7 62.2 102.5 71.9 52.5 80.8 98.6 85.2 78.6 93.4 111.4 97.9 96.3 90.6 101.2 93.3 91.7 97.1 96.2 96.8 93.1 101.5 102.1 101.7 106.0 101.4 99.7 101.0 108.1 101.4 91.2 98.7 103.2 103.6 89.2 99.8 104.8 105.9 81.8 99.2 98.4 112.0 86.9 105.1 104.7 116.6 94.4 110.7 116.0 84,4 51.2 73.0 60.7 97.3 79.7 92.2 82.0 103.1 86.4 98.4 83.8 101.2 90.6 98.3 89.5 95.9 96.7 96.1 100.9 104.4 103.7 104.2 99.4 106.5 108.4 107.0 101.7 101.7 113.1 104.5 111.2 101.1 117.5 105.0 116.2 92.9 120.3 99.2 129.4 93.5 120.6 99.7 129.0 99.5 122.9 104.8 123.6 b u s in e s s P roductivity: O utp ut per hour o f all p e r s o n s ................................ O utp ut per unit o f capital s e rv ic e s ......................... M u ltifa cto r p ro d u c tiv ity ................................................ O u t p u t .................................................................................. Inputs: H ours o f all p e r s o n s ..................................................... C a pita l se rvice s ............................................................. C om b in ed units o f la bo r and capita l in p u t .......... C apital per hou r o f all p e r s o n s .................................... M a n u fa c tu r in g P roductivity: O utp ut per hou r o f all p e r s o n s ................................ O utp ut per unit o f capita l s e rv ic e s ......................... M u ltifa cto r p ro d u c tiv ity ................................................ O u t p u t .................................................................................. Inputs: H ours o f all p e r s o n s ..................................................... C a pita l se rvices ............................................................ C om b in ed units of labor a nd capital in p u t s ........ C apital per hour o f all p e r s o n s ................................... 44. Annual indexes of productivity, hourly compensation, unit costs, and prices, selected years (1977 = 100) Item 1960 1970 1976 1978 1979 1980 1981 1982 1983 1984 1985 / B u s in e s s : O utp ut per hou r o f all p e r s o n s .................................... C o m p en sa tion per h o u r ................................................. Real co m p en satio n per h o u r ....................................... U n it la bo r co sts ................................................................ U nit n o n la bo r paym en ts ................................................ Im p licit price d e fla to r ...................................................... N o n fa rm 1974 1973 67.6 33.6 68.9 49.7 46.4 48.5 88.4 57.8 90.2 65.4 59.4 63.2 95.9 70.9 96.7 73.9 72.5 73.4 93.9 77.6 95.4 82.7 76.4 80.5 98.3 92.8 98.7 94.3 93.3 94.0 100.8 108.5 100.8 107.6 106.7 107.3 99.6 119.1 99.4 119.5 112.5 117.0 99.3 131.5 96.7 132.5 118.7 127.6 100.7 143.7 95.7 142.7 134.6 139.8 100.3 154.9 97.3 154.5 136.6 148.1 103.0 161.5 98.2 156.8 146.3 153.0 105.3 168.1 98.1 159.7 156.3 158.5 106.4 1 /5 .3 98.8 164.8 159.7 163.0 71.0 35.3 72.3 49.7 46.3 48.5 89.3 58.2 90.8 65.2 60.0 63.4 96.4 71.2 97.1 73.9 69.3 72.3 94.3 78.0 95.9 82.7 74.0 79.7 98.5 92.8 98.8 94.3 93.0 93.8 100.8 108.6 100.9 107.7 105.6 107.0 99.3 118.9 99.2 119.7 110.5 116.5 98.8 131.3 96.6 132.9 118.5 127.8 99.8 143.6 95.7 144.0 133.5 140.3 99.2 154.8 97.2 156.0 136.5 149.2 102.4 161.5 98.2 157.7 148.1 154.3 104.3 167.9 98.0 161.0 156.1 159.3 104.8 174.6 98.4 166.7 160.6 164.6 73.4 36.9 75.5 50.2 51.5 50.7 91.1 59.2 92.4 65.0 60.1 63.3 97.5 71.6 97.6 73.4 68.9 71.9 94.6 78.2 96.1 82.6 73.1 79.4 98.4 92.9 98.9 94.3 93.8 94.2 100.6 108.4 100.7 107.8 104.4 106.6 99.8 118.7 99.1 119.0 108.4 115.4 99.1 131.1 96.4 132.3 118.6 127.6 99.6 143.3 95.5 143.8 137.8 141.7 100.4 154.3 96.9 153.8 142.1 149.8 103.5 159.9 97.3 154.5 152.1 153.7 105.6 165.9 96.8 157.0 160.1 158.1 106.8 172.3 97.0 161.2 163.0 161.8 62.2 36.5 74.8 58.7 60.0 59.1 80.8 57.4 89.5 71.0 64.1 69.0 93.4 68.8 93.8 73.7 70.7 72.8 90.6 76.2 93.6 84.1 67.7 79.3 97.1 92.1 98.1 94.9 93.5 94.5 101.5 108.2 100.5 .10 6 .6 101.9 105.2 101.4 118.6 99.1 117.0 98.9 111.7 101.4 132.4 97.4 130.6 97.8 121.0 103.6 145.2 96.7 140.1 111.8 131.8 105.9 157.5 98.9 148.7 114.0 138.6 112.0 162.4 98.8 145.0 128.5 140.2 116.6 168.2 98.1 144.2 136.9 142.1 121.7 176.7 99.5 145.1 134.4 142.0 b u s in e s s : O utp ut per hou r o f all p e r s o n s ................................... C o m p en sa tion per h o u r ................................................. Real co m p en satio n per hour ....................................... U nit la bo r co sts ................................................................ U n it n o n la b o r paym en ts ................................................ Im p licit price d e fla to r ...................................................... N o n fin a n c ia l c o r p o r a tio n s : O utp ut per hour o f all e m p lo y e e s .............................. C o m p en sa tion per h o u r ................................................. Real co m p e n sa tio n per h o u r ....................................... U nit la bo r co sts ................................................................ U nit n o n la bo r paym en ts ................................................ Im p licit price d e fla to r ...................................................... M a n u fa c tu r in g : O utp ut p er hour of all p e r s o n s .................................... C o m p en sa tion per h o u r ................................................. R eal co m p en satio n per h o u r ....................................... U n it la bo r co sts ................................................................ U nit n o n la bo r p aym ents ................................................ Im p licit price d e f la t o r ...................................................... https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis MONTHLY LABOR REVIEW 88 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 45. December 1986 • Current Labor Statistics: International Comparisons Data Unemployment rates in nine countries, quarterly data seasonally adjusted A nn u al average 1985 1986 C ountry 1984 1985 I II III IV I II III T o t a l la b o r f o r c e b a s is U nited S ta t e s ............................................. C anada ........................................................ A ustra lia ...................................................... Ja pa n ........................................................... 7.4 11.2 8.9 2.7 7.1 10.4 8.2 2.6 7.2 11.0 8.5 2.6 7.2 10.5 8.4 2.5 7.1 10.2 8.1 2.6 6.9 10.1 7.8 2.9 7.0 9.7 7.9 2.6 Fra n ce ......................................................... G e r m a n y ...................................................... G re at Britain .............................................. Italy 2 ........................................................ S w eden ....................................................... 9.7 7.6 12.8 5.8 3.1 10.1 7.7 13.0 5.9 2.8 10.2 7.7 12.9 5.8 3.0 10.1 7.8 13.0 5.7 2.9 10.2 7.7 13.2 5.9 2.7 9.9 7.7 12.8 6.2 2.7 10.0 7.6 13.0 6.2 2.8 10.3 7.5 13.1 6.3 2.6 U nited S ta t e s ............................................. C anada ........................................................ A ustra lia ...................................................... Ja pa n ........................................................... 7.5 11.3 9.0 2.8 7.2 10.5 8.3 2.6 7.3 11.1 8.6 2.6 7.3 10.6 8.5 2.6 7.2 10.2 8.2 2.7 7.0 10.1 7.9 2.9 7.1 9.7 8.0 2.7 7.2 9.6 F rance ......................................................... G e rm a n y ...................................................... G re at Britain .............................................. Italy ............................................................... S w e de n ....................................................... 9.9 7.8 12.9 5.9 3.1 10.4 7.9 13.1 6.0 2.8 10.5 7.9 13.1 5.9 3.0 10.4 7.9 13.2 5.8 2.9 10.4 7.9 13.4 6.0 2.8 10.1 7.8 13.0 6.3 2.7 10.2 7.8 13.1 6.3 2.8 7.1 9.5 _ 6.8 9.6 _ 2.8 10.4 7.3 _ 6.0 2.6 C iv ilia n la b o r f o r c e b a s is 1 Q ua rte rly ra tes are fo r th e first m o n th o f th e quarter. 2 M ajor ch an ge s in the Italian la bo r fo rc e survey, in tro duce d in 1977, resu lted in a large in cre ase in p erson s e nu m e ra ted as unem ployed. H ow ever, m any p erson s re p orte d th a t the y had not a ctively so ug ht w o rk in th e p ast 30 days, and the y have been p ro visio na lly exclud e d fo r co m p ara b ility w ith U.S. co n ce pts. Inclusion o f such p erson s w o uld m ore _ 6.9 9.7 _ 2.8 - 10.5 7.6 13.3 6.5 2.6 - 10.7 7.5 6.1 2.6 tha n d ou ble the Italian u n e m p lo ym e nt rate show n. - D ata n o t available. NO TE: Q ua rte rly fig ures fo r France, G erm any, and G reat B ritain are ca lculate d by a pplying annual a d ju stm e n t fa cto rs to cu rre n t p ublished d ata and th e re fo re sh ould be view ed as less precise in dicato rs o f u n e m p lo ym e nt u nd er U.S. c o n c e p ts tha n th e a nnual figures. 46. Annual data: Employment status of the civilian working-age population, 10 countries (N um bers in thousands) E m p loym en t statu s a nd co un try 1976 1977 1983 1984 96,158 10,203 6,244 53,100 2 2,000 2 5,900 25,290 20,300 4,890 4,149 99,009 10,500 6,358 53,820 22,300 25,870 25,430 20,530 4,950 4,168 102,251 10,895 6,443 54,610 22,470 26,000 25,620 20,630 5,010 4,203 104,962 11,231 6,519 55,210 22,670 26,250 25,710 20,910 5,100 4,262 106,940 11,573 6,693 55,740 22,790 26,520 25,870 21,210 5,290 4,312 108,670 11,904 6,810 56,320 22,930 26,650 25,870 21,410 5,500 4,326 110,204 11,958 6,910 56,980 23,150 26,710 25,880 21,450 5,560 4,350 111,550 12,183 6,997 58,110 23,130 26,740 26,010 21,610 5,720 4 ,369 113,544 12,399 7,133 5 8,480 2 3,290 26,880 2 6,530 21,680 5,740 4,385 115,461 12,639 7,272 5 8,820 2 3,330 27,090 26,960 21,800 5,690 4,418 61.6 61.1 62.7 62.4 57.3 53.8 63.2 47.8 49.1 66.0 62.3 61.6 62.7 62.5 57.6 53.4 63.2 48.0 49.0 65.9 63.2 62.7 62.0 62.8 57.5 53.3 63.3 47.7 48.8 66.1 63.7 63.4 61.7 62.7 57.5 53.3 63.2 47.8 49.0 66.6 63.8 64.1 62.2 62.6 57.2 53.2 63.2 48.0 50.0 67.0 63.9 64.8 62.0 62.6 57.1 52.9 62.2 48.0 51.3 66.8 64.0 64.1 61.8 62.7 57.1 52.7 61.9 47.4 51.2 66.8 64.0 64.4 61.5 63.1 56.6 52.5 61.9 47.2 52.1 66.7 64.4 64.8 61.5 62.7 56.6 52.6 62.7 47.3 52.0 66.8 64.8 65.2 61.8 62.3 56.4 53.2 63.6 47.2 51.2 67.2 8 8,752 9,477 5,946 52,020 21,010 25,010 23,810 19,600 4 ,630 4,083 92,017 9,651 6,000 52,720 2 1,180 2 4,970 2 3,840 19,800 4 ,700 4,093 96,048 9,987 6,038 53,370 2 1,260 2 5,130 2 4,040 19,870 4,750 4,109 98,824 10,395 6,111 54,040 21,300 25,470 24,360 20,100 4,830 4,174 99,303 10,708 6,284 54,600 2 1,320 25,750 24,100 20,380 4,960 4,226 100,397 11,006 6,416 55,060 21,200 25,560 23,190 20,480 4,990 4,218 99,526 10,644 6,415 55,620 21,230 25,130 22,820 20,430 4,930 4,213 100,834 10,734 6,300 56,550 21,170 24,750 22,680 20,470 4,890 4,218 105,005 11,000 6,490 56,870 20,980 24,790 23,100 20,390 4,880 4,249 107,150 11,311 6,670 57,260 20,910 24,960 23,420 20,490 4,890 4,293 56.8 56.7 59.7 61.1 54.8 52.0 59.5 46.1 46.5 64.9 57.9 56.6 59.2 61.2 54.7 51.6 59.3 46.3 46.5 64.8 59.3 57.5 58.1 61.3 54.4 51.5 59.4 45.9 46.3 64.6 59.9 58.7 57.9 61.4 54.0 51.7 59.8 45.9 46.4 65.3 59.2 59.3 58.4 61.3 53.5 51.7 58.9 46.1 46.9 65.6 59.0 59.9 58.4 61.2 52.8 50.8 55.8 45.9 46.5 65.1 57.8 57.0 57.3 61.2 52.3 49.6 54.6 45.2 45.4 64.7 57.9 56.7 55.4 61.4 51.8 48.6 54.0 44.7 44.5 64.4 59.5 57.4 56.0 61.0 51.0 48.5 54.6 44.5 44.2 64.7 60.1 58.4 56.6 60.6 50.5 49.0 55.2 44.4 44.0 65.3 7,406 726 298 1,080 990 890 1,480 700 260 66 6,991 849 358 1,100 1,120 900 1,590 740 250 75 6,202 908 405 1,240 1,210 870 1,580 760 260 94 6,137 836 408 1,170 1,370 780 1,350 810 270 88 7,637 865 409 1,140 1,470 770 1,770 830 330 86 8,273 898 394 1,260 1,730 1,090 2,680 920 510 108 10,678 1,314 495 1,360 1,920 1,580 3,060 1,020 630 137 10,717 1,448 697 1,560 1,960 1,990 3,330 1,140 830 151 8,539 1,399 642 1,610 2,310 2 ,090 3,430 1,280 860 136 8,312 1,328 602 1,560 2,420 2,130 3,540 1,310 800 125 7.7 7.1 4.8 2.0 4.5 3.4 5.9 3.4 5.3 1.6 7.1 8.1 5.6 2.0 5.0 3.5 6.3 3.6 5.0 1.8 6.1 8.3 6.3 2.3 5.4 3.4 6.2 3.7 5.2 2.2 5.8 7.4 6.3 2.1 6.0 3.0 5.3 3.9 5.3 2.1 7.1 7.5 6.1 2.0 6.4 2.9 6.8 3.9 6.2 2.0 7.6 7.5 5.8 2.2 7.5 4.1 10.4 4.3 9.3 2.5 9.7 11.0 7.2 2.4 8.3 5.9 11.8 4.8 11.3 3.1 9.6 11.9 10.0 2.7 8.5 7.4 12.8 5.3 14.5 3.5 7.5 11.3 9.0 2.8 9.9 7.8 12.9 5.9 15.0 3.1 7.2 10.5 8.3 2.6 10.4 7.9 13.1 6.0 14.1 2.8 1978 1979 1980 1981 1982 1985 L a b o r fo rc e U nited S ta t e s ..................................................................... C anada ................................................................................ A u s tra lia ............................................................................... Ja pa n .................................................................................... F ra n c e .................................................................................. G e r m a n y .............................................................................. G re at B r ita in ....................................................................... I t a ly ........................................................................................ N e th e rla n d s ........................................................................ S w e d e n ................................................................................ P a r tic ip a tio n r a te U nited S t a t e s ..................................................................... C a nada ................................................................................ A u s tra lia ............................................................................... Ja pa n .................................................................................... Fra n ce .................................................................................. G e r m a n y .............................................................................. G re at B rita in ....................................................................... I t a ly ........................................................................................ N e th e rla n d s ........................................................................ S w e d e n ................................................................................ E m p lo y e d U nited S ta t e s ..................................................................... Canada ................. ,............................................................. A u s tra lia ............................................................................... Ja pa n .................................................................................... F ra n c e .................................................................................. G e r m a n y .............................................................................. G re a t B r ita in ....................................................................... I t a ly ........................................................................................ N e th e rla n d s ........................................................................ S w e d e n ................................................................................ E m p lo y m e n t-p o p u la tio n r a tio U nited S ta tes .................................................................... C anada ................................................................................ A u s tra lia ............................................................................... Ja pa n ................................................................................... F rance .................................................................................. G e r m a n y .............................................................................. G re at B rita in ....................................................................... I t a ly ........................................................................................ N e th e rla n d s ........................................................................ S w e d e n ................................................................................ U n e m p lo y e d U nited S ta t e s ..................................................................... C anada ................................................................................ A u s tra lia ............................................................................... Ja pa n ................................................................................... Fra n ce .................................................................................. G e r m a n y .............................................................................. G re a t B rita in ....................................................................... I t a ly ........................................................................................ N e th e rla n d s ........................................................................ S w e d e n ................................................................................ U n e m p lo y m e n t ra te U nited S ta t e s ..................................................................... Canada ................................................................................ A u s tra lia ............................................................................... Ja pa n .................................................................................... F ra n c e .................................................................................. G e r m a n y .............................................................................. G re at B rita in ....................................................................... I t a ly ........................................................................................ N e th e rla n d s ........................................................................ S w e d e n ................................................................................ https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis MONTHLY LABOR REVIEW December 1986 • Current Labor Statistics: International Comparisons Data 47. Annual indexes of productivity and related measures, 12 countries (1977 = 100) Item and coun try 1960 1970 1973 1974 1976 1977 1979 1980 1981 1982 1983 1984 1985 121.8 115.1 159.9 O u tp u t p e r h o u r U nited S t a t e s ......................................................................................................... Ja pa n ........................................................................................................................ F ra n ce ....................................................................................................................... G e r m a n y .................................................................................................................. I t a ly ............................................................................................................................. N e th e rla n d s ............................................................................................................. 62.2 50.3 23.2 32.8 37.2 36.4 40.3 36.5 32.4 54.6 42.3 53.8 80.8 76.8 64.8 60.0 65.5 69.6 71.2 72.7 64.3 81.7 80.7 77.6 93.4 91.3 83.1 78.7 83.2 82.2 84.0 90.9 81.5 94.6 94.8 92.9 90.6 93.4 86.5 83.2 86.0 85.2 87.4 95.3 88.1 97.7 98.8 95.2 97.1 96.2 94.3 95.3 98.2 95.0 96.5 98.9 95.8 99.7 101.7 99.1 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 101.4 104.2 114.8 111.8 106.5 110.3 108.2 110.5 112.3 107.1 110.9 102.2 101.4 101.9 122.7 119.3 112.3 112.0 108.6 116.9 113.9 109.3 112.7 101.2 103.6 104.0 127.2 127.2 114.2 116.4 111.0 121.0 116.9 109.7 113.2 107.9 105.9 101.0 135.0 132.8 114.6 123.5 112.6 123.4 119.4 112.6 116.5 112.7 112.9 107.6 142.3 141.0 117.3 129.3 119.0 126.6 126.1 119.2 125.5 121.2 118.5 111.5 152.2 145.5 118.3 135.0 124.7 135.0 139.3 122.3 132.6 126.2 52.5 41.5 19.2 41.7 49.2 35.4 50.0 37.4 44.8 55.1 52.6 71.0 78.6 75.1 69.9 78.1 82.0 73.3 86.6 78.0 84.4 87.0 92.5 94.7 96.3 94.6 91.9 95.8 95.9 88.6 96.1 90.5 95.8 99.5 100.3 104.7 91.7 98.0 91.7 99.6 97.4 91.8 95.4 96.3 100.0 104.0 105.7 103.5 93.1 98.1 94.8 99.5 99.6 96.1 98.0 97.9 99.0 101.4 106.1 98.2 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 108.1 110.9 113.9 104.2 105.4 106.1 106.6 108.6 106.1 100.3 103.6 100.5 103.2 107.7 124.1 107.2 110.1 106.6 106.6 115.4 106.6 101.3 104.0 91.7 104.8 108.8 129.8 105.9 106.6 105.9 104.9 114.3 106.7 100.1 100.6 86.2 98.4 96.4 137.3 109.1 108.3 106.0 102.4 111.6 105.0 99.8 100.1 86.4 105.6 101.7 148.2 110.7 112.2 107.4 103.5 109.2 105.3 98.8 105.2 88.9 117.9 110.1 165.2 112.8 118.6 108.4 107.4 113.2 110.8 101.3 112.4 92.4 121.0 115.2 175.8 122.3 109.0 113.0 115.3 84.4 82.6 82.7 127.0 132.4 97.2 123.8 102.3 138.4 101.0 124.4 131.9 97.3 97.7 107.9 130.1 125.1 105.3 121.7 107.4 131.2 106.4 114.6 122.1 103.1 103.6 110.7 121.8 115.2 107.8 114.4 99.6 117.6 105.1 105.7 112.7 101.2 105.0 106.1 119.7 113.2 107.8 109.2 101.0 113.5 106.5 107.0 108.7 95.9 102.0 100.6 104.4 101.4 101.2 101.6 99.0 103.3 101.7 104.3 99.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 106.5 106.4 99.3 93.2 99.0 96.2 98.5 98.2 94.4 93.6 93.4 98.3 101.7 105.7 101.2 89.9 98.1 95.2 98.1 98.7 93.6 92.6 92.3 90.7 101.1 104.6 102.0 83.3 93.4 91.0 94.6 94.5 91.2 91.3 88.9 79.9 92.9 95.4 101.7 82.1 94.5 85.9 91.0 90.4 88.0 88.6 85.9 76.7 93.5 94.6 104.2 78.5 95.7 83.0 87.0 86.2 83.5 82.9 83.9 73.3 99.5 98.7 108.5 77.5 100.2 80.3 86.2 83.9 79.5 82.8 84.8 73.2 99.3 100.1 110.0 36.5 27.1 8.9 13.8 12.6 15.1 18.8 8.3 12.5 15.8 14.7 14.8 57.3 46.5 33.9 34.9 36.3 36.6 48.0 26.1 39.0 37.9 38.5 30.8 68.8 59.2 55.1 53.5 56.1 52.3 67.5 43.7 60.5 54.5 54.2 44.8 76.2 68.5 72.3 65.2 67.9 62.0 76.9 54.5 71.9 63.6 63.8 56.9 92.1 89.9 90.7 89.5 90.4 88.9 91.3 84.2 91.9 88.8 91.5 88.4 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 118.6 118.3 113.4 117.6 123.1 129.3 116.1 134.7 117.0 116.0 120.1 137.7 132.4 130.6 120.7 130.4 135.9 147.5 125.6 160.2 123.6 128.0 133.6 165.8 145.2 151.5 129.8 144.6 149.6 170.3 134.5 197.1 129.1 142.8 148.1 188.9 157.5 167.1 136.6 152.0 162.9 200.8 141.0 237.3 137.5 156.0 158.9 206.4 163.2 179.3 140.7 163.7 174.3 226.2 148.4 276.4 144.7 173.5 173.3 222.4 169.1 182.1 144.8 176.6 183.9 246.5 155.3 303.0 152.8 188.3 190.7 237.2 176.6 191.4 148.3 195.5 262.7 164.7 334.0 205.2 205.8 257.0 58.7 53.9 38.4 42.0 33.8 41.6 46.6 22.8 38.5 29.0 34.8 27.6 70.9 60.6 52.3 58.1 55.4 52.6 67.4 36.0 60.7 46.4 47.7 39.7 73.7 64.8 66.4 68.0 67.4 63.6 80.3 48.1 74.3 57.6 57.2 48.2 84.1 73.3 83.6 78.3 79.0 72.8 88.0 57.2 81.6 65.2 64.6 59.7 94.9 93.5 96.2 93.9 92.1 93.6 94.6 85.1 96.0 89.1 90.0 89.2 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 117.0 113.5 98.8 105.2 115.7 117.3 107.3 121.9 104.1 108.2 108.3 134.7 130.6 128.1 98.4 109.3 121.0 131.7 115.7 137.0 108.5 117.0 118.6 163.8 140.1 145.7 102.0 113.6 131.1 146.3 121.2 162.9 110.4 130.2 130.9 175.1 148.7 165.4 101.2 114.4 142.2 162.6 125.2 192.4 115.2 138.6 136.3 183.1 144.5 166.7 98.9 116.1 148.6 175.0 124.7 218.3 114.7 145.5 138.1 183.5 142.8 163.2 95.1 121.4 155.5 182.5 124.6 224.5 109.7 154.0 143.8 187.9 145.0 166.3 92.7 165.1 187.4 124.9 240.1 58.7 59.0 28.5 30.2 29.5 41.7 25.9 32.5 25.1 21.7 30.1 44.4 70.9 61.7 39.1 42.0 44.4 46.8 42.9 50.6 41.2 34.5 41.1 54.4 73.7 68.8 65.6 62.8 67.2 70.4 70.4 73.1 65.6 53.4 58.7 67.7 84.1 79.7 76.8 72.1 77.9 74.5 79.1 77.6 74.6 62.8 65.1 80.1 94.9 100.7 86.9 87.2 91.5 96.3 87.3 90.5 89.1 86.9 92.3 92.3 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 117.0 103.0 121.3 128.5 132.0 135.5 135.9 129.5 127.4 113.8 112.9 163.9 130.6 116.4 116.8 134.1 129.0 153.4 147.9 141.4 134.2 126.2 125.3 218.3 140.1 129.1 123.8 109.9 110.3 132.2 124.9 126.3 108.9 120.6 115.4 203.1 148.7 142.3 108.8 89.5 102.3 121.5 119.7 125.4 105.8 114.2 96.9 183.5 144.5 143.7 111.5 81.3 97.5 112.9 113.4 126.8 98.6 106.1 80.4 159.4 142.8 133.9 107.2 75.3 90.1 102.7 101.6 112.8 83.9 100.4 77.7 143.9 145.0 129.4 104.2 93.5 102.6 98.6 111.1 101.7 79.1 147.3 - 118.4 140.2 131.9 139.1 125.0 135.2 129.7 O u tp u t B e lg iu m ..................................................................................................................... N e th e rla n d s ............................................................................................................. T o ta l h o u rs C o m p e n s a tio n p e r h o u r U n it la b o r c o s ts : N ational cu rre n cy basis: Ja pa n ........................................................................................................................ B e lg iu m ..................................................................................................................... G e r m a n y ................................................................................................................... I t a ly ............................................................................................................................. U n it la b o r c o s ts : U.S. d ollar basis: Ja pa n ....................................................................................................................... B e lg iu m .................................................................................................................... G e r m a n y .................................................................................................................. I t a ly ............................................................................................................................ N e th e rla n d s ............................................................................................................ N o rw a y ..................................................................................................................... 103.7 114.6 95.0 - 103.3 77.8 85.7 82.9 83.0 84.8 73.3 " 164.2 152.2 198.1 -I--------- D ata n ot available. 90 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 48. Occupational injury and illness incidence rates by industry, United States Incide nce ra tes per 100 fu ll-tim e w o rke rs2 Industry and type o f c a s e 1 1976 1977 1978 1979 1980 1981 1982 1983 1984 P R IV A T E S E C T O R 3 T o ta l c a s e s ............... L ost w o rkd ay ca ses L ost w o rk d a y s ......... 9.2 3.5 60.5 9.3 3.8 61.6 9.4 4.1 63.5 9.5 4.3 67.7 8.7 4.0 65.2 8.3 3.8 61.7 7.7 3.5 58.7 7.6 3.4 58.5 8.0 3.7 63.4 11.0 4.7 83.3 11.5 5.1 81.1 11.6 5.4 80.7 11.7 5.7 83.7 11.9 5.8 82.7 12.3 5.9 82.8 11.8 5.9 86.0 11.9 6.1 90.8 12.0 6.1 90.7 11.0 5.8 114.4 10.9 6.0 128.8 11.5 6.4 143.2 11.4 6.8 150.5 11.2 6.5 163.6 11.6 6.2 146.4 10.5 5.4 137.3 8.4 4.5 125.1 9.7 5.3 160.2 15.3 5.5 105.0 15.5 5.9 111.5 16.0 6.4 109.4 16.2 6.8 120.4 15.7 6.5 117.0 15.1 6.3 113.1 14.6 6.0 115.7 14.8 6.3 118.2 15.5 6.9 128.1 14.5 5.2 100.0 15.0 5.7 100.2 15.9 6.3 105.3 16.3 6.8 111.2 15.5 6.5 113.0 15.1 6.1 107.1 14.1 5.9 112.0 14.4 6.2 113.0 15.4 6.9 121.3 16.3 5.5 109.2 16.0 5.7 116.7 16.6 6.2 110.9 16.6 6.7 123.1 16.3 6.3 117.6 14.9 6.0 106.0 15.1 5.8 113.1 15.4 6.2 122.4 14.9 6.4 131.7 15.3 5.6 105.8 15.6 6.1 115.5 15.8 6.6 111.0 16.0 6.9 124.3 15.5 6.7 118.9 15.2 6.6 119.3 14.7 6.2 118.6 14.8 6.4 119.0 15.8 7.1 130.1 13.2 4.8 79.5 13.1 5.1 82.3 13.2 5.6 84.9 13.3 5.9 90.2 12.2 5.4 86.7 11.5 5.1 82.0 10.2 4.4 75.0 10.0 4.3 73.5 10.6 4.7 77.9 22.1 9.7 167.3 22.3 10.4 178.0 22.6 11.1 178.8 20.7 10.8 175.9 18.6 9.5 171.8 17.6 9.0 158.4 16.9 8.3 153.3 18.3 9.2 163.5 19.6 9.9 172.0 16.9 6.0 94.5 17.2 6.0 92.0 17.5 6.9 95.9 17.6 7.1 99.6 16.0 6.6 97.6 15.1 6.2 91.9 13.9 5.5 85.6 14.1 5.7 83.0 15.3 6.4 101.5 16.1 6.4 114.1 16.9 6.9 120.4 16.8 7.8 126.3 16.8 8.0 133.7 15.0 7.1 128.1 14.1 6.9 122.2 13.0 6.1 112.2 13.1 6.0 112.0 13.6 6.6 120.8 16.6 6.3 114.8 16.2 6.8 119.4 17.0 7.5 123.6 17.3 8.1 134.7 15.2 7.1 128.3 14.4 6.7 121.3 12.4 5.4 101.6 12.4 5.4 103.4 13.3 6.1 115.3 18.9 6.8 109.8 19.1 7.2 109.0 19.3 8.0 112.4 19.9 8.7 124.2 18.5 8.0 118.4 17.5 7.5 109.9 15.3 6.4 102.5 15.1 6.1 96.5 16.1 6.7 104.9 14.2 4.6 70.6 14.0 4.7 69.9 14.4 5.4 75.1 14.7 5.9 83.6 13.7 5.5 81.3 12.9 5.1 74.9 10.7 4.2 66.0 9.8 3.6 58.1 10.7 4.1 65.8 8.5 2.8 44.9 8.6 3.0 46.7 8.7 3.3 50.3 8.6 3.4 51.9 8.0 3.3 51.8 7.4 3.1 48.4 6.5 2.7 42.2 6.3 2.6 41.4 6.8 2.8 45.0 12.4 4.7 73.8 11.8 5.0 79.3 11.5 5.1 78.0 11.6 5.5 85.9 10.6 4.9 82.4 9.8 4.6 78.1 9.2 4.0 72.2 8.4 3.6 64.5 9.3 4.2 68.8 7.2 2.4 36.7 7.0 2.4 37.4 6.9 2.6 37.0 7.2 2.8 40.0 6.8 2.7 41.8 6.5 2.7 39.2 5.6 2.3 37.0 5.2 2.1 35.6 5.4 2.2 37.5 11.7 4.0 59.4 11.5 4.0 58.7 11.8 11.7 4.7 67.7 10.9 4.4 67.9 10.7 4.4 68.3 9.9 4.1 69.9 9.9 4.0 66.3 10.5 A g r ic u ltu r e , f o r e s t r y , a n d f is h in g 3 T o ta l c a s e s ................................................................................. L ost w o rkd ay ca ses ................................................................ L ost w o rk d a y s ............................................................................ M in in g T o ta l c a s e s ............... L o st w o rkd ay ca ses L o st w o rk d a y s ......... C o n s tr u c tio n T o ta l c a s e s ............................................................ L ost w o rkd ay ca ses .......................................... L ost w o rk d a y s ...................................................... G eneral building co ntra ctors: T o ta l c a s e s ............................................................ L ost w o rkd ay c a s e s .......................................... L ost w o rk d a y s ...................................................... H eavy co n stru ctio n co ntra ctors: T o ta l c a s e s ............................................................ L ost w o rkd ay ca ses .......................................... L ost w o rk d a y s ...................................................... S pe cia l tra de co ntra ctors: T o ta l c a s e s ....................................................... . L ost w o rkd ay c a s e s .......................................... L ost w o rk d a y s ...................................................... M a n u fa c tu r in g T o ta l c a s e s ............... L ost w o rkd ay ca ses L ost w o rk d a y s ......... D u r a b le g o o d s Lum ber and w o od products: T o ta l c a s e s .............................................................. L ost w o rkd ay c a s e s ............................................ L ost w o rk d a y s ........................................................ Furniture and fixtures: T o ta l c a s e s .............................................................. L ost w o rkd ay ca ses ............................................ L ost w o rk d a y s ........................................................ S tone, clay, and glass products: T o ta l c a s e s .............................................................. L ost w o rkd ay c a s e s ............................................. L ost w o rk d a y s ........................................................ Prim ary m etal industries: T o ta l c a s e s .............................................................. L ost w o rkd ay ca ses ............................................. L ost w o rk d a y s ........................................................ Fa bricate d m etal products: T o ta l c a s e s .............................................................. Lost w o rkd ay c a s e s ............................................. L o st w o rk d a y s ........................................................ M achinery, e xce p t electrical: T o ta l c a s e s .............................................................. L ost w o rkd ay ca ses ............................................. L ost w o rk d a y s ........................................................ E le ctric and e le ctro n ic equipm ent: T o ta l c a s e s .............................................................. L ost w o rkd ay ca ses ............................................. L ost w o rk d a y s ........................................................ T ra n sp o rta tio n equipm ent: T o ta l c a s e s .............................................................. L ost w o rkd ay c a s e s ............................................. L ost w o rk d a y s ........................................................ Instru m e n ts a nd related products: T o ta l c a s e s .............................................................. L ost w o rkd ay ca ses ............................................. L ost w o rk d a y s ........................................................ M iscellan eo u s m a n ufa ctu rin g industries: T o ta l c a s e s .............................................................. L ost w o rkd ay c a s e s ............................................. L ost w o rk d a y s ........................................................ S ee fo o tn o te s at end o f table. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 4.5 66.4 4.3 70.2 MONTHLY LABOR REVIEW December 1986 • Injury and Illness Data 48. Continued— Occupational injury and illness incidence rates by industry, United States Incide nce rates per 100 full-tim e w o rke rs2 Industry and type o f c a s e 1 1976 1977 1978 1979 1980 1981 1982 1983 1984 N o n d u r a b le g o o d s Food and kindred products: T o ta l c a s e s ................................................................. L ost w o rkd ay c a s e s ................................................ L ost w o rk d a y s ............................................................ T o b a cco m anufacturing: T o ta l c a s e s ................................................................. L ost w o rkd ay c a s e s ................................................ Lost w o rk d a y s ............................................................ T e xtile mill products: T o ta l c a s e s ................................................................. L o st w o rkd ay c a s e s ................................................ L o st w o rk d a y s ............................................................ A pp a rel and o th e r te xtile products: T o ta l c a s e s ................................................................. L ost w o rkd ay c a s e s ................................................ L o st w o rk d a y s ............................................................ P aper and allied products: T o ta l c a s e s ................................................................. L ost w o rkd ay ca ses ................................................ L ost w o rk d a y s ............................................................ P rinting and publishing: T o ta l c a s e s ................................................................. L o st w o rkd ay c a s e s ................................................ L ost w o rk d a y s ........................................................... C h em ica ls and allied p roducts: T o ta l c a s e s ................................................................. L ost w o rkd ay c a s e s ................................................ L ost w o rk d a y s ........................................................... P etroleum and co al products: T o ta l c a s e s ................................................................. L ost w o rkd ay c a s e s ................................................ L ost w o rk d a y s ........................................................... R ubb e r and m iscellan eo u s plastics products: T o ta l c a s e s ................................................................. L ost w o rkd ay ca ses ................................................ Lost w o rk d a y s ........................................................... L ea the r and le a th e r products: T o ta l c a s e s ................ ..... .......................................... L ost w o rkd ay ca ses ............................................... L o st w o rk d a y s .......................................................... 19.3 8.0 123.8 19.5 8.5 130.1 19.4 8.9 132.2 19.9 9.5 141.8 18.7 9.0 136.8 17.8 8.6 130.7 16.7 8.0 129.3 16.5 7.9 131.2 16.7 8.1 131.6 10.0 4.1 62.5 9.1 3.8 66.7 8.7 4.0 58.6 9.3 4.2 64.8 8.1 3.8 45.8 8.2 3.9 56.8 7.2 3.2 44.6 6.5 3.0 42.8 7.7 3.2 51.7 10.5 2.7 55.5 10.2 2.9 57.4 10.2 3.4 61.5 9.7 3.4 61.3 9.1 3.3 62.8 8.8 3.2 59.2 7.6 2.8 53.8 7.4 2.8 51.4 8.0 3.0 54.0 6.7 1.9 31.0 6.7 2.0 31.7 6.5 2.2 32.4 6.5 2.2 34.1 6.4 2.2 34.9 6.3 2.2 35.0 6.0 2.1 36.4 6.4 2.4 40.6 6.7 2.5 40.9 13.7 4.7 94.8 13.6 5.0 101.6 13.5 5.7 103.3 13.5 6.0 108.4 12.7 5.8 112.3 11.6 5.4 103.6 10.6 4.9 99.1 10.0 4.5 90.3 10.4 4.7 93.8 6.8 2.6 40.3 6.8 2.7 41.7 7.0 2.9 43.8 7.1 3.1 45.1 6.9 3.1 46.5 6.7 3.0 47.4 6.6 2.8 45.7 6.6 2.9 44.6 6.5 2.9 46.0 8.2 3.1 50.6 8.0 3.1 51.4 7.8 3.3 50.9 7.7 3.5 54.9 6.8 3.1 50.3 6.6 3.0 48.1 5.7 2.5 39.4 5.5 2.5 42.3 5.3 2.4 40.8 7.9 3.2 62.5 8.1 3.3 59.2 7.9 3.4 58.3 7.7 3.6 62.0 7.2 3.5 59.1 6.7 2.9 51.2 5.3 2.5 46.4 5.5 2.4 46.8 5.1 2.4 53.5 16.8 7.1 113.3 16.8 7.6 118.1 17.1 8.1 125.5 17.1 8.2 127.1 15.5 7.4 118.6 14.6 7.2 117.4 12.7 6.0 100.9 13.0 6.2 101.4 13.6 6.4 104.3 11.6 4.1 69.0 11.5 4.4 68.9 11.7 4.7 72.5 11.5 4.9 76.2 11.7 5.0 82.7 11.5 5.1 82.6 9.9 4.5 86.5 10.0 4.4 87.3 10.5 4.7 94.4 9.8 5.0 94.0 9.7 5.3 95.9 10.1 5.7 102.3 10.0 5.9 107.0 9.4 5.5 104.5 9.0 5.3 100.6 8.5 4.9 96.7 8.2 4.7 94.9 8.8 5.2 105.1 7.5 2.8 43.2 7.7 2.9 44.0 7.9 3.2 44.9 8.0 3.4 49.0 7.4 3.2 48.7 7.3 3.1 45.3 7.2 3.1 45.5 7.2 3.1 47.8 7.4 3.3 50.5 8.1 3.3 51.8 8.5 3.6 52.5 8.9 3.9 57.5 8.8 4.1 59.1 8.2 3.9 58.2 7.7 3.6 54.7 7.1 3.4 52.1 7.0 3.2 50.6 7.2 3.5 55.5 7.2 2.6 39.7 7.4 2.7 40.5 7.5 2.8 39.7 7.7 3.1 44.7 7.1 2.9 44.5 7.1 2.9 41.1 7.2 2.9 42.6 7.3 3.0 46.7 7.5 3.2 48.4 2.0 .7 11.6 2.0 .8 10.4 2.1 .8 12.5 2.1 .9 13.3 2.0 .8 12.2 1.9 .8 11.6 2.0 .9 13.2 2.0 .9 12.8 1.9 .9 13.6 5.3 2.0 38.4 5.5 2.2 35.4 5.5 2.4 36.2 5.5 2.5 38.1 5.2 2.3 35.8 5.0 2.3 35.9 4.9 2.3 35.8 5.1 2.4 37.0 5.2 2.5 41.1 T r a n s p o r t a t io n a n d p u b lic u tilitie s T o ta l c a s e s ...... Lost w o rkd ay ci L ost w o rkdays W h o le s a le a n d r e ta il t r a d e T o ta l c a s e s ......................................................................... L ost w o rkd ay ca ses ........................................................ L o st w o rk d a y s .................................................................... W h o le sa le trade: T o ta l c a s e s ......................................................................... L o st w o rkd ay c a s e s ........................................................ L ost w o rk d a y s .................................................................... R e tail trade: T o ta l c a s e s ......................................................................... L ost w o rkd ay c a s e s ........................................................ L o st w o rk d a y s .................................................................... F in a n c e , in s u r a n c e , a n d r e a l e s ta te T o ta l c a s e s ................................................................................... L ost w o rkd ay ca ses ................................................................. L ost w o rk d a y s ............................................................................. S e r v ic e s T o ta l c a s e s ....................................................... L o st w o rkd ay c a s e s ...................................... L ost w o rk d a y s ................................................. 1 T o ta l ca ses inclu de fatalities. 2 The in cid en ce ra tes re p rese n t th e n um ber o f injuries and illne sses or lo st w o rkd a ys per 100 fu ll-tim e w o rke rs and w ere ca lcu la te d as: (N /E H ) X 200,000, w here: N = n um be r o f inju rie s and illne sses o r lo st w orkdays. 92 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis EH = to ta l hours w o rke d by all e m p loye e s during ca le n d a r year. 2 00 ,00 0 = base fo r 100 full-tim e e q u iva le nt w o rke rs (w orking 40 h ours per w e ek, 50 w e eks per year.) 3 E xclu de s farm s w ith fe w e r tha n 11 e m p loye e s sin ce 1976. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis MONTHLY LABOR REVIEW Index o f Volume 109 January 1986 through December 1986 93 INDEX TO VOLUME 109 JANUARY 1986 THROUGH DECEMBER 1986 ABSENTEEISM Missed work and lost hours, May 1985. 1986 Nov. 26-30. ACCIDENTS (See Work injuries.) ARBITRATION (See also Collective bargaining.) Postal arbitration: issues surrounding the award, The 1984. 1986 June. 31-32. AUSTRALIA An international comparison of labor force participation, 1977-84. 1986 May. 3-12. How do Australian unions maintain standing during adverse periods? 1986 June. 37-39. International experiences with technological change. 1986 Mar. 35-40. AUTOMATION (See Technological change.) AUTO WORKERS (uaw) Constitutional convention marks golden anniversary of the uaw. 1986 Oct. 23-25. BELGIUM International trends in productivity and unit labor costs in manufacutring. 1986 Dec. 12-17. Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. CANADA An international comparison of labor force participation, 1977-84. 1986 May. 3-12. International experiences with technological change. 1986 Mar. 35-40. International trends in productivity and unit labor costs in manufacturing. 1986 Dec. 12-17. Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. COLLECTIVE BARGAINING (See also Arbitration.) Collective bargaining during 1986: pressures to curb costs remain. 1986 Jan. 16-33. Communications Workers focus on bargaining with at&t . 1986 July. 3739. Labor and management continue to combat mutual problems in 1985. 1986 Jan. 3-15. Steelworkers press organizing and coordinated bargaining. 1986 Nov. 48 49. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Postal arbitration: issues surrounding the award, The 1984. 1986 June. 31-32. Wage restraints continue in 1985 major contracts. 1986 Apr. 22-28. COMPUTERS (See Technological change.) CONFERENCES AND CONVENTIONS Communications Workers of America (cwa), 48th annual convention, May 24, 1986. 1986 July. 37-39. Industrial Relations Research Association, 38th annual meeting, December 1985, Papers from. 1986 Apr. 45-49; 1986 May. 28-34; 1986 June. 28-39. United Automobile, Aerospace and Agricultural Implement Workers of America (uaw), 28th constitutional convention, June 1-6, 1986. 1986 Oct. 23-25. United Steelworkers of America (afl-CIO, clc), 23rd constitutional conven tion, August 25-29, 1986. 1986 Nov. 48-49. CONSTRUCTION Foreign housing voucher systems: evolution and strategies. 1986 May. 21-27. CONSUMER EXPENDITURES Consumer expenditures: results from the Diary and Interview surveys. 1986 June. 14-18. Distribution of consumption examined using aggregate expenditure shares. 1986 Apr. 50-53. Spending patterns of older persons revealed in expenditure survey. 1986 Oct. 15-17. CONSUMER PRICE INDEX (See also Prices.) A half-year decline in inflation: its antecedents and structure. 1986 Oct. 3-14. Inflation remained mild again during 1985. 1986 Apr. 17-21. Revised Consumer Price Index: changes in definitions and availability, The. 1986 July. 15-23. COST OF LIVING Spending patterns of older persons revealed in expenditure survey. 1986 Oct. 15-17. DENMARK International trends in productivity and unit labor costs in manufacturing. 1986 Dec. 12—17. Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. DEREGULATION Airline deregulation and labor relations. 1986 June. 29-30. DISCRIMINATION (See Equal Employment Opportunity.) Work experience profile, 1984: the effects of recovery continue. 1986 Feb. 37-43. EQUAL EMPLOYMENT OPPORTUNITY Sex segregation. 1986 Feb. 2. DISPLACED WORKERS Displaced workers: one year later. 1986 July. 40-42. EARNINGS AND WAGES General area wage surveys will cover more areas. 1986 June. 19-23. white-collar pay survey now covers small firms. 1986 Oct. 26-28. Declining middle class: a further analysis, The. 1986 Sept. 22-27. Hourly paid workers: who they are and what they earn. 1986 Feb. 20-26. Measuring wage premiums for job risks. 1986 June. 42-43. Overtime work: an expanded view. 1986 Nov. 36-39. Preferred hours of work and corresponding earnings. 1986 Nov. 40-44. Reconciling divergent trends in real income. 1986 July. 24-29. Wage restraints continue in 1985 major contracts. 1986 Apr. 22-28. Weekly earnings in 1985: a look at more than 200 occupations. 1986 Sept. 28-32. bls bls Specified industries and occupations Minimum wage stability affects shirt and nightwear industry pay. 1986 Mar. 32-33. Occupational pay in the manufacture of men’s and boys’ suits and coats. 1986 Jan. 67-68. Occupational pay in textile dyeing and finishing plants. 1986 Dec 33—34. Occupational pay structure in petroleum refineries. 1986 July. 43-44. Postal arbitration: issues surrounding the award, The 1984. 1986 June. 31-32. FOREIGN TRADE Aggregate export price comparisons developed for U.S., Germany, Japan. 1986 June. 40-41. Import, export prices reflect declining dollar and oversupply in 1985. 1986 Apr. 3-16. FRANCE European job creation in the wake of plant closings and layoffs. 1986 Oct. 18-22. International trends in productivity and unit labor costs in manufacturing. 1986 Dec. 12-17. Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. GERMANY Aggregate export price comparisons developed for U .S., Germany, Japan. 1986 June. 40-41. An international comparison of labor force participation, 1977-84. 1986 May. 3-12. International trends in productivity and unit labor costs in manufacturing. 1986 Dec. 12-17. Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. West German labor unrest: are unions losing ground to worker councils? 1986 Feb. 46-48. GREAT BRITAIN (See United Kingdom.) ECONOMIC DEVELOPMENT AND GROWTH Business cycle effects on productivity and costs, 1947-86. 1986 Dec. 18-22. HEALTH AND INSURANCE PLANS ECONOMIC POLICIES AND PROGRAMS Health insurance trends in cost control and coverage. 1986 Sept. 3-8. Hospital employment under revised medicare payment schedules. 1986 Aug. 37-45. Sensitivity of bls economic projections to exogenous variables. 1986 Dec. 23-29. HEALTH AND SAFETY (See also Work injuries and illnesses.) EDUCATION AND TRAINING What happened to the high school class of 1985? 1986 Oct. 28-30. ELECTRONICS bls and Alice Hamilton: pioneers in industrial health. 1986 June. 24-27. Employment in health services: long-term trends and projections, 1986 Aug. 17-36. ilo adopts asbestos standard, focuses on employment issues, 1986 Oct. 31-32. Employment lessons from the electronics industry. 1986 Feb. 27-36. HOSPITALS EMPLOYMENT (See also Labor force; Unemployment.) Hospital employment under revised medicare payment schedules. 1986 Aug. 37-45. A view of the 80’s. 1986 Sept. 2. An analysis of regional employment growth, 1973-85. 1986 July. 3-14. Business services industry sets pace in employment growth, The. 1986 Apr. 29-36. Declining middle class: a further analysis, The. 1986 Sept. 22-27. Deindustrialization and the shift to services. 1986 June. 3-13. Displaced workers: one year later. 1986 July. 40-42. Employment and unemployment: developments in 1985. 1986 Feb. 3-12. Employment benchmark. 1986 June. 2. Employment expansion in retail trade, 1973-85, The. 1986 Aug. 9-16. Employment growth in the temporary help industry. 1986 Apr. 37-44. Employment in health services: long-term trends and projections. 1986 Aug. 17-36. Employment lessons from the electronics industry. 1986 Feb. 27-36. Employment up, unemployment stable in the first half of 1986. 1986 Aug. 3-8. Hospital employment under revised medicare payment schedules. 1986 Aug. 37-45. ilo adopts asbestos standard, focuses on employment issues. 1986 Oct. 31-32. Part-time workers: who are they? 1986 Feb. 13-19. Temporary help workers: who they are, what jobs they hold. 1986 Nov. 45-47. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis HOUSING (See Construction.) HOURS OF WORK Computer-aided telephone interviewing used in the Hours at Work Survey. 1986 May. 39-41. Moonlighting by women jumped to record highs. 1986 Nov. 22-25. Overtime work: an expanded view. 1986 Nov. 36-39. Part-time workers: who are they? 1986 Feb. 13-19. Preferred hours of work and corresponding earnings. 1986 Nov. 40-44. Shift work and flexitime: how prevalent are they? 1986 Nov. 14-21. Growing diversity of work schedules, The. 1986 Nov. 7-13. Work at home: new findings from the Current Population Survey. 1986 Nov. 31-35. Work schedules of Americans: an overview of new findings. 1986 Nov. 3-6. IMMIGRATION Estimating the number of undocumented aliens. 1986 Sept. 33. Immigration effects. 1986 Mar. 2. IMPORTS (See Foreign trade.) 95 MONTHLY LABOR REVIEW December 1986 • Index to Volume 109 INCOME (See Earnings and wages.) INDUSTRIAL RELATIONS RESEARCH ASSOCIATION Thirty-Eighth Annual Meeting. Papers from, 1985 Dec. 1986 Apr. 45-49; 1986 May. 28-34; 1986 June. 28-39. INFLATION A half-year decline in inflation: its antecedents and structure. 1986 Oct. 3-14. Inflation remained mild again during 1985. 1986 Apr. 17-21. INTERNATIONAL LABOR ORGANIZATION adopts asbestos standard, focuses on employment issues. 1986 Oct. 31-32. ilo ITALY European job creation in the wake of plant closings and layoffs. 1986 Oct. 18-22. International trends in productivity and unit labor costs in manufacturing. 1986 Dec. 12-17. Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. LABOR LAW Changes in unemployment insurance legislation during 1985. 1986 Jan. 55-60. Key workers’ compensation laws enacted by States in 1985. 1986 Jan. 61-67. Labor law study. 1986 July. 2. State labor legislation enacted in 1985. 1986 Jan. 34-54. LABOR-MANAGEMENT RELATIONS Competitiveness. 1986 Mar. 2. Environmental factors in the labor-management relationship. 1986 Apr. 47-48. Labor and management continue to combat mutual problems in 1985. 1986 Jan. 3-15. ‘Union avoidance:’ management’s new industrial relations strategy. 1986 Apr. 45-46. Union response to changes in printing technology. 1986 May. 37-38. LABOR MARKET Airline deregulation and labor relations. 1986 June. 29-30. An analysis of regional employment growth, 1973-85. 1986 July. 3-14. Declining middle class: a further analysis, The. 1986 Sept. 22-27. Labor-market data: supplementary sources. 1986 June. 28-29. Labor market segmentation in Japan: how rigid is it? 1986 June. 35-37. JAPAN Aggregate export price comparisons developed for U .S., Germany, Japan. 1986 June. 40-41. An international comparison of labor force participation, 1977-84. 1986 May. 3-12. International experiences with technological change. 1986 Mar. 35-40. International trends in productivity and unit labor costs in manufacturing. 1986 Dec. 12-17. Labor market segmentation in Japan: how rigid is it? 1986 June. 35-37. Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. JOB CREATION LABOR ORGANIZATIONS Canadian unions achieve strong gains in membership. 1986 Apr. 48-49. Communications Workers focus on bargaining with at&t . 1986 July. 3739. How do Australian unions maintain standing during adverse periods? 1986 June. 37-39. Union membership trends: a study of the Garment Workers. 1986 June. 33-35. Union response to changes in printing technology: another view. 1986 May. 37-38. West German labor unrest: are unions losing ground to worker councils? 1986 Feb. 46-48. European job creation in the wake of plant closings and layoffs. 1986 Oct. 18-22. LAYOFFS LABOR FORCE A new leading indicator: workers recently laid off. 1986 May. 35-37. European job creation in the wake of plant closings and layoffs. 1986 Oct. 18-22. An international comparison of labor force participation, 1977-84. 1986 May. 3-12. Business services industry sets pace in employment growth, The. 1986 Apr. 29-36. Changing demographics. 1986 Aug. 2. Employment and unemployment: developments in 1985. 1986 Feb. 3-12. Employment growth in the temporary help industry. 1986 Apr. 37-44. Employment up, unemployment stable in the first half of 1986. 1986 Aug. 3-8. Hourly paid workers: who they are and what they earn. 1986 Feb. 20-26. Military and civilian wives: update on the labor force gap. 1986 Dec. 31-33. Part-time workers: who are they? 1986 Feb. 13-19. Rise in mothers’ labor force activity includes those with infants. 1986 Feb. 43-45. Temporary help workers: who they are and what jobs they hold. 1986 Nov. 45-47. What happened to the high school class of 1985? 1986 Oct. 28-30. Women veterans total 1 million in first half of 1986. 1986 Dec. 30-31. Work experience profile, 1984: the effects of recovery continue. 1986 Feb. 37-43. Work, poverty, and the working poor: a multifaceted problem. 1986 Sept. 17-21. Work schedules of Americans: an overview of new findings. 1986 Nov. 3-6. LABOR HISTORY BLS and Alice Hamilton: pioneers in industrial health. 1986 June. 24-27. Ellis Island a welcome site? Only after years of reform. 1986 July. 30-36. Digitized for96 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis MANUFACTURING Computer manufacturing enters a new era of growth. 1986 Sept. 9-16. Deindustrialization and the shift to services. 1986 June. 3-13. International trends in productivity and unit labor costs in manufacturing. 1986 Dec. 12-17. Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. MULTIPLE JOBHOLDERS Moonlighting by women jumped to record highs. 1986 Nov. 22-25. NETHERLANDS, THE International trends in productivity and unit labor costs in manufacturing. 1986 Dec. 12—17. Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. NORWAY International experiences with technological change. 1986 Mar. 35-40. International trends in productivity and unit labor costs in manufacturing. 1986 Dec. 12-17. Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. OCCUPATIONAL SAFETY AND HEALTH bls and Alice Hamilton: pioneers in industrial health. 1986 June. 24-27. OLDER WORKERS STEELWORKERS Spending patterns of older persons revealed in expenditure survey. 1986 Oct. 15-17. Steelworkers press organizing and coordinated bargaining. 1986 Nov. 4 8 49. PLANT SHUTDOWNS SURVEY METHODS European job creation in the wake of plant closings and layoffs. 1986 Oct. 18-22. bls area wage surveys will cover more areas. 1986 June. 19-23. Computer-aided telephone interviewing used in the Hours at Work Survey. 1986 May. 39-41. Expert panel offers suggestions on 1990 census methodology. 1986 Mar 33-34. Interview group bias. 1986 June. 43. Revised Consumer Price Index: changes in definitions and availability, The. 1986 July. 15-23. POVERTY (See also Unemployment.) Work, poverty, and the working poor: a multifaceted problem. 1986 Sept. 17-21. PRICES A half-year decline in inflation: its antecedents and stmcture. 1986 Oct 3-14. Aggregate export price comparisons developed for U.S., Germany, Japan. 1986 June. 40-41. Distribution of consumption examined using aggregate expenditure shares. 1986 Apr. 50-53. Import, export prices reflect declining dollar and oversupply in 1985. 1986 Apr. 3-16. Inflation remained mild again during 1985. 1986 Apr. 17-21. Revised Consumer Price Index: changes in definitions and availability, The. 1986 July. 15-23. PRODUCER PRICE INDEX Inflation remained mild again during 1985. 1986 Apr. 17-21. SWEDEN An international comparison of labor force participation, 1977-84. 1986 May. 3-12. International experiences with technological change. 1986 Mar. 35-40. International trends in productivity and unit labor costs in manufacturing 1986 Dec. 1 2 -1 7 . Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. TECHNOLOGICAL CHANGE Computer-aided telephone interviewing used in the Hours at Work Survey 1986 May. 39-41. Computer manufacturing enters a new era of growth. 1986 Sept. 9-16. Contribution of r&d to productivity growth, The. 1986 Mar. 16-20. Employment lessons from the electronics industry. 1986 Feb. 27-36. International experiences with technological change. 1986 Mar. 35-40. PRODUCTIVITY Beauty and barber shops: the trend of labor productivity. 1986 Mar. 21-26. Computer manufacturing enters a new era of growth. 1986 Sept. 9-16. Contribution of r&d to productivity growth, The. 1986 Mar. 16-20. International trends in productivity and unit labor costs in manufacturing. 1986 Dec. 1 2 -1 7 . Measuring single-factor and multifactor productivity. 1986 Dec. 3—11. Productivity continued to increase in many industries during 1984. 1986 Mar. 11-15. Productivity and labor costs trends in manufacturing, 12 countries. 1986 Mar. 3—10. Productivity in the metal doors, sash, and trim industry. 1986 Mar. 27-31. Trends of labor productivity in metal stamping industries. 1986 May 13-20. U.S. productivity growth since 1982: the post-recession experience. 1986 Dec. 18-22. PROJECTIONS Employment in health services: long-term trends and projections. 1986 Aug. 17-36. Sensitivity of bls economic projections to exogenous variables. 1986 Dec 23-29. SALARIES (See Earnings and wages.) SERVICE SECTOR Business services industry sets pace in employment growth, The. 1986 Apr. 29-36. Deindustrialization and the shift to services. 1986 June. 3-13. STATE GOVERNMENT Changes in unemployment insurance legislation during 1985. 1986 Jan. 55-60. Key workers’ compensation laws enacted by States in 1985. 1986 Jan 61-67. State labor legislation enacted in 1985. 1986 Jan. 34-54. UNEMPLOYMENT A new leading indicator: workers recently laid off. 1986 May. 35-37. Displaced workers: one year later. 1986 July. 40-42. Employment and unemployment: developments in 1985. 1986 Feb. 3-12. Employment up, unemployment stable in the first half of 1986. 1986 Aug 3-8. UNEMPLOYMENT INSURANCE Changes in unemployment insurance legislation during 1985. 1986 Jan. 55-60. UNION MEMBERSHIP Canadian unions achieve strong gains in membership. 1986 Apr. 48-49. Union membership of employed wage and salary workers, 1985. 1986 May. 44—46. Union membership trends: a study of the Garment Workers. 1986 June 33-35. UNIONS (See Labor organizations.) UNITED KINGDOM European job creation in the wake of plant closings and layoffs. 1986 Oct 18-22. International experiences with technological change. 1986 Mar. 35-40. International trends in productivity and unit labor costs in manufacturing. 1986 Dec. 12-17. Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. VETERANS Women veterans total 1 million in first half of 1986. 1986 Dec. 30-31. WAGES (See Earnings and wages.) WHITE-COLLAR WORKERS bls white-collar pay survey now covers small firms. 1986 Oct. 26-28. STATISTICS WOMEN Labor market data: supplementary sources. 1986 June. 28-29. Military and civilian wives: update on the labor force gap. 1986 Dec. 31—33. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 97 MONTHLY LABOR REVIEW December 1986 • Index to Volume 109 Moonlighting by women jumped to record highs. 1986 Nov. 22-25. Rise in mothers’ labor force activity includes those with infants. 1986 Feb. 43-45. Women veterans total 1 million in first half of 1986. 1986 Dec. 30—31. WORK AT HOME Work at home: new findings from the Current Population Survey. 1986 Nov. 31-35. WORK INJURIES AND ILLNESSES Occupational illness. 1986 Jan. 2. Work-related deaths in 1984: bls survey findings. 1986 May. 42-44. Perlman, Richard and James J. Hughes. The Economics o f Unemployment: A Comparative Analysis o f Britain and the United States. 1986 July. 50. Rosen, Howard. Servants o f the People: The Uncertain Future o f the Federal Civil Service. 1986 May. 52-53. Sheflin, Neil, and Leo Troy. Union Sourcebook—Membership, Structure, Finance, Directory. 1986 Jan. 70-71. Sinicropi, Anthony V. and Marvin Hill, Jr. Management Rights: A Legal and Arbitral Analysis. 1986 Dec. 41. Troy, Leo and Neil Sheflin. Union Sourcebook—Membership, Structure, Finance, Directory. 1986 Jan. 70-71. Zieger, Robert H. American Workers, American Unions, 1920-T985. 1986 Nov. 54. AUTHORS WORK SHARING Short-time compensation: assessing the issues. 1986 May. 28-30. Short-time compensation: the AFL-Cio perspective. 1986 May. 33-34. Work sharing programs: an evaluation of their use. 1986 May. 31-33. WORKERS’ COMPENSATION Key workers’ compensation laws enacted by States in 1985. 1986 Jan. 61-67. WORKING LIFE Work experience profile, 1984: the effects of recovery continue. 1986 Feb. 37-43. YOUTH (See Labor force.) DEPARTMENTS Book Notes. June issue. Book Reviews. Each issue except April. Communications. May issue. Conference Papers. April, May, and June. Conventions. July, October, and November. Current Labor Statistics. Each issue. Developments in Industrial Relations. Each issue except January. Foreign Labor Developments. February, March, and October. Labor Month in Review. Each issue. Major Agreements Expiring Next Month. Each issue. Research Notes. June issue. Research Summaries. Each issue except August and November. Technical Notes. May issue. BOOK REVIEWS AND BOOK NOTES (Listed by author of book.) Bain, George Sayers, ed. Industrial Relations in Britain. 1986 Jan. 71. Baldwin, David A. Economic Statecraft. 1986 June. 51. Bogue, Donald J. The Population o f the United States: Historical Trends and Future Projections. 1986 Feb. 54. Gresser, Julian. Partners in Prosperity. 1986 Feb. 53-54. Hammerman, Herbert. A Decade o f New Opportunity: Affirmative Action in the 1970’s. 1986 Aug. 51. Hill, Marvin, Jr. and Anthony V. Sinicropi Management Rights: A Legal and Arbitral Analysis. 1986 Dec. 41. Hirschhom, Larry. Beyond Mechanization. 1986 Mar. 45-46. Hoffman, Saul D. Labor Market Economics. 1986 May. 52. Holloway, William J. and Michael J. Leech. Employment Termination: Rights and Remedies. 1986 Aug. 50-51. Hughes, James J. and Richard Perlman. The Economics o f Unemployment: A Comparative Analysis o f Britain and the United States. 1986 July. 50. Jacoby, Sanford M. Employing Bureaucracy: Managers, Unions, and the Transformation o f Work in American Industry, 1900-1945. 1986 Sept. 42-43. Kaufman, Stuart B., ed., The Samuel Gompers Papers: Vol. I, The Making o f a Union Leader, 1850-86. 1986 Aug. 50. Keyssar, Alexander. Out o f Work: The First Century o f Unemployment in Massachusetts. 1986 Dec. 41—42. Leech, Michael J. and William J. Holloway. Employment Termination: Rights and Remedies. 1986 Aug. 50-51. Maggiolo, Walter A. Techniques o f Mediation. 1986 Oct. 38. Digitized for 98 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Ahmed, Ziaul Z. and Horst Brand. Beauty and barber shops: the trend of labor productivity. 1986 Mar. 21-26. Alic, John A. and Martha Caldwell Harris. Employment lessons from the electronics industry. 1986 Feb. 27-36. Appelbaum, Eileen and Cherlyn Skromme Granrose. Hospital employment under revised medicare payment schedules. 1986 Aug. 37-45. Bahr, Richard C. and John L. Marcoot. The revised Consumer Price Index: changes in definitions and availability. 1986 July. 15-23. Becker, Eugene. Book review. 1986 Jan. 70-71. Bingman, Charles F. Book review. 1986 May. 52-53. Boissevain, Harry, Edwin Dean, and James Thomas. Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. Borum, Joan and James Conley. Wage restraints continue in 1985 major contracts. 1986 Apr. 22-28. Brand, Horst and Ziaul Z. Ahmed. Beauty and barber shops: the trend of labor productivity. 1986 Mar. 21-26. --------- and Clyde Huffstutler. Trends of labor productivity in metal stamp ing industries. 1986 May. 13-20. Brown, Phyllis I., David J. Schlein, and Fehmida Sleemi. Collective bargaining during 1986: pressures to curb costs remain. 1986 Jan. 1633. Cappelli, Peter. Book review. 1986 Dec. 41. --------- and John Chalykoff. ‘Union avoidance:’ management’s new indus trial relations strategy. 1986 Apr. 45-46. Carey, Max L. and Kim L. Hazelbaker. Employment growth in the tempo rary help industry. 1986 Apr. 37-44. Carr, Darrell E. Overtime work: an expanded view. 1986 Nov. 36-39. Cavin, Edward, Stuart Kerachsky, Walter Nicholson, and Alan Hershey. Work sharing programs: an evaluation of their use. 1986 May. 31-33. Chalykoff, John and Peter Cappelli. ‘Union avoidance:’ management’s new strategy. 1986 Apr. 45-46. Clark, Donald E. and Anne Kahl. Employment in health services: long term trends and projections. 1986 Aug. 17-36. Clem, Andrew and Craig Howell. Inflation remained mild again during 1985. 1986 Apr. 17-21. Cohany, Harry P. Book review. 1986 Nov. 54. Cohany, Sharon R. What happened to the high school class of 1985? 1986 Oct. 28-31. Conley, James and Joan Borum. Wage restraints continue in 1985 major contracts. 1986 Apr. 22-28. Cotter, Diane M. Work-related deaths in 1984: bls survey findings. 1986 May. 42-44. Cullity, John P. and Geoffrey H. Moore. A new leading indicator: workers recently laid off. 1986 May. 35-37. Curtin, William J. Airline deregulation and labor relations. 1986 June. 29-30. Danziger, Sheldon and Peter Gottschalk. Work, poverty, and the working poor: a multifaceted problem. 1986 Sept. 17-21. Dean, Edwin, Harry Boissevain, and James Thomas. Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. Deutsch, Steven. International experiences with technological change. 1986 Mar. 35-40. Devens, Richard M. Jr. Book review. 1986 June. 51. --------- .Displaced workers: one year later. 1986 July. 40-42. Donahue, Steven M. Communications Workers focus on bargaining with at&t . 1986 July. 37-39. Dworkin, James B. and Charles J. Hobson. West German labor unrest: are unions losing ground to worker councils? 1986 Feb. 46-48. Early, John F., Walter Lane, and Philip Sturm. A half-year decline in inflation: its antecedents and structure. 1986 Oct. 3-14. Einstein, Marcus E. and James C. Franklin. Computer manufacturing enters a new era of growth. 1986 Sept. 9-16. Eisen, David J. Union response to changes in printing technology: another view. 1986 May. 37-38. Evans, Robert, Jr. Book review. 1986 Feb. 53-54. Flaim, Paul O. Work schedules of Americans: an overview of new find ings. 1986 Nov. 3-6. Franklin, James C. and Marcus E. Einstein. Computer manufacturing enters a new era of growth. 1986 Sept. 9-16. Frumkin, Robert N. Health insurance trends in cost control and coverage. 1986 Sept. 3-8. Fulco, Lawrence J. U.S. productivity growth since 1982: the post-reces sion experience. 1986 Dec. 18-22. Getz, Patricia M. and Susan E. Shank. Employment and unemployment: developments in 1985. 1986 Feb. 3-12. Gieseman, Raymond and John Rogers. Consumer expenditures: results from the Diary and Interview surveys. 1986 June. 14—18. Golden, Lonnie. Book review. 1986 Dec. 41-42. Gottschalk, Peter and Sheldon Danziger. Work, poverty, and the working poor: a multifaceted problem. 1986 Sept. 17-21. Granrose, Cherlyn Skromme and Eileen Appelbaum. Hospital employment under revised medicare payment schedules. 1986 Aug. 37-45. Gunderson, Morley and Noah M. Meltz. Canadian unions achieve strong gains in membership. 1986 Apr. 48-49. Guzda, Henry P. Book review. 1986 Sept. 42-43. --------- .Constitutional convention marks golden anniversary of the uaw. 1986 Oct. 23-25. --------- .Ellis Island a welcome site? Only after years of reform. 1986 July. 30-36. Harris, Martha Caldwell and John A. Alic. Employment lessons from the electronics industry. 1986 Feb. 27-36. Harrison, Beth. Spending patterns of older persons revealed in expenditure survey. 1986 Oct. 15-17. Haugen, Steven E. The employment expansion in retail trade, 1973-85. 1986 Aug. 9-16. --------- and Earl F. Mellor. Hourly paid workers: who they are and what they earn. 1986 Feb. 20-26. Hayghe, Howard V. Military and civilian wives: update on the labor force gap. 1986 Dec. 31-33. --------- Rise in mothers’ labor force activity includes those with infants 1986 Feb. 4 3 -4 5 . Hazelbaker, Kim L. and Max L. Carey. Employment growth in the tempo rary help industry. 1986 Apr. 37-44. Henle, Peter. Book review. 1986 Aug. 50. Herman, Arthur S. Productivity continued to increase in many industries during 1984. 1986 Mar. 11-15. Hershey, Alan, Stuart Kerachsky, Walter Nicholson, and Edward Cavin. Work sharing programs: an evaluation of their use. 1986 May. 31-33. Hobson, Charles J. and James B. Dworkin. West German labor unrest: are unions losing ground to worker councils? 1986 Feb. 46-48. Horvath, Francis W. Work at home: new findings from the Current Popu lation Survey. 1986 Nov. 31-35. Howe, Wayne J. Business services industry sets pace in employment growth, The. 1986 Apr. 29-36. --------- .Temporary help workers: who they are and what jobs they hold. 1986 Nov. 45-47. Howell, Craig and Andrew Clem. Inflation remained mild again during 1985. 1986 Apr. 17-21. Howenstine, E. Jay. Foreign housing voucher systems: evolution and strategies. 1986 May. 21-27. Huffstutler, Clyde and Horst Brand. Trends of labor productivity in metal stamping industries. 1986 May. 13-20. Jacoby, Sanford M. and Daniel J.B. Mitchell. Labor market data: supple mentary sources. 1986 June. 28-29. Johnson, David S. Aggregate export price comparisons developed for U.S., Germany, Japan. 1986 June. 40-41. Jones, David R. and William Schweke. European job creation in the wake of plant closings and layoffs. 1986 Oct. 18-22. Kahl, Anne and Donald E. Clark. Employment in health services: long term trends and projections. 1986 Aug. 17-36. Kahn, Shulamit. Union membership trends: a study of the Garment Work ers. 1986 June. 33-35. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Kaneer, Kirk, Distribution of consumption examined using aggregate ex penditure shares. 1986 Apr. 50-53. Kerachsky, Stuart, Walter Nicholson, Edward Cavin, and Alan Hershey. Work sharing programs: an evaluation of their use. 1986 May. 31-33. Klein, Bruce W. Missed work and lost hours, May 1985. 1986 Nov. 26-30. Kutscher, Ronald E. and Valerie A. Personick. 1986 June. 3-13. Lane, Walter, John F.Early, and Philip Sturm. A half-year decline in inflation: its antecedents and structure. 1986 Oct. 3-14. Linsenmayer, Tadd. ilo adopts asbestos standard, focuses on employment issues. 1986 Oct. 31-32. Loewenberg, J. Joseph. The 1984 postal arbitration: issues surrounding the award. 1986 June. 31-32. McMahon, Patrick J. An international comparison of labor force participa tion, 1977-84. 1986 May. 3-12. --------- and John H. Tschetter. The declining middle class: a further analy sis. 1986 Sept. 22-27. McCollum, James K. Book review. 1986 Jan. 71. Maccoby, Michael. Book review. 1986 Mar. 45-46. Marcoot, John L. and Richard C. Bahr. The revised Consumer Price Index: changes in definitions and availability. 1986 July. 15-23. Mark, Jerome A. Problems encountered in measuring single-factor and multifactor productivity. 1986 Dec. 3-11. Marquez, Janice Shack-. Interview group bias. 1986 June. 43. Martin, John L. Book review. 1986 Oct. 38. Meister, Shelley and Thomas A. Sherman. Import, export prices reflect declining dollar and oversupply in 1985. 1986 Apr. 3—16. Mellor, Earl F. Shift work and flexitime: how prevalent are they? 1986 Nov. 14-21. --------- . Weekly earnings in 1985: a look at more than 200 occupations. 1986 Sept. 28-32. --------- and Steven E. Haugen. Hourly paid workers: who they are and what they earn. 1986 Feb. 20-26. Meltz, Noah M. and Morley Gunderson. Canadian unions achieve strong gains in membership. 1986 Apr. 48-49. Mitchell, Daniel J.B. and Sanford M. Jacoby. Labor-market data: supple mentary sources. 1986 June. 28-29. Moore, Geoffrey H. and John P. Cullity. A new leading indicator: workers recently laid off. 1986 May. 35-37. Morton, John D. bls white-collar pay survey now covers small firms. 1986 Oct. 26-28. Moye, William T. bls and Alice Hamilton: pioneers in industrial health. 1986 June. 24-27. Neef, Arthur. International trends in productivity and unit labor costs in manufacturing. 1986 Dec. 1 2 -1 7 . Nicholson, Walter, Stuart Kerachsky, Edward Cavin, and Alan Hershey. Work sharing programs: an evaluation of their use. 1986 May. 31-33. Niland, John. How do Australian unions maintain standing during adverse periods? 1986 June. 37-39. Nardone, Thomas J. Part-time workers: who are they? 1986 Feb. 13-19. Nelson, Richard R. State labor legislation enacted in 1985. 1986 Jan. 34-54. Olsen, John G. and Elmer S. Persigehl. Productivity in the metal doors, sash, and trim industry. 1986 Mar. 27-31. Passel, Jeffrey S. Estimating the number of undocumented aliens. 1986 Sept. 33. Persigehl, Elmer S. and John G. Olsen. Productivity in the metal doors, sash, and trim industry. 1986 Mar. 27-31. Personick, Valerie A. and Ronald E. Kutscher. Deindustrialization and the shift to services. 1986 June. 3-13. Reynolds, Joy K. Steelworkers press organizing and coordinated bargain ing. 1986 Nov. 48-49. Roca, Maria L. Women veterans total 1 million in first half of 1986. 1986 Dec. 30-31. Rogers, John and Raymond Gieseman. Consumer expenditures: results from the Diary and Interview surveys. 1986 June. 14-18. Rones, Philip L. An analysis of regional employment growth, 1973-85. 1986 July. 3-14. Ruben, George. Labor and management continue to combat mutual prob lems in 1985. 1986 Jan. 3-15. Runner, Diana. Changes in unemployment insurance legislation during 1985. 1986 Jan. 55-60. 99 MONTHLY LABOR REVIEW December 1986 • Index to Volume 109 Ruser, John W. Measuring wage premiums for job risks. 1986 June. 42-43. Ryscavage, Paul. Reconciling divergent trends in real income. 1986 July. 24-29. Saunders, Norman C. Sensitivity of BLS economic projections to exogenous variables. 1986 Dec. 23-29. Schiff, Frank W. Short-time compensation: assessing the issues. 1986 May. 28-30. Schlein, David J., Phyllis I. Brown, and Fehmida Sleemi. Collective bargaining during 1986: pressures to curb costs remain. 1986 Jan. 1633. Schweke, William and David R. Jones. European job creation in the wake of plant closings and layoffs. 1986 Oct. 18-22. Scofea, Laura, bls area wage surveys will cover more areas. 1986 June. 19-23. Sehgal, Ellen. Book review. 1986 Feb. 54. Shank, Susan E. Employment up, unemployment stable in the first half of 1986. 1986 Aug. 3-8. --------- .Preferred hours of work and corresponding earnings. 1986 Nov. 40-44. --------- and Patricia M. Getz. Employment and unemployment: develop ments in 1985. 1986 Feb. 3-12. Sherman, Thomas A. and Shelly Meister. Import, export prices reflect declining dollar and oversupply in 1985. 1986 Apr. 3-16. Sleemi, Fehmida, David J. Schlein, and Phyllis I. Brown. Collective bargaining during 1986: pressures to curb costs remain. 1986 Jan. 1633. Smith, Shirley J. The growing diversity of work schedules. 1986 Nov. 7-13. --------- .Work experience profile, 1984: the effects of recovery continue. 1986 Feb. 37-43. Stinson, John, Jr. Moonlighting by women jumped to record highs. 1986 Nov. 22-25. Sturm, Philip, John F. Early, and Walter Lane. A half-year decline in inflation: its antecedents and structure. 1986 Oct. 3-14. Sveikauskas, Leo. The contribution of r&d to productivity growth. 1986 Mar. 16-20. Taira, Koji. Labor market segmentation in Japan: how rigid is it? 1986 June. 35-37. Thomas, James, Edwin Dean, and Harry Boissevain. Productivity and labor cost trends in manufacturing, 12 countries. 1986 Mar. 3-10. Tinsley, LaVeme C. Key workers’ compensation laws enacted by States in 1985. 1986 Jan. 61-66. Toscano, Guy A. Computer-aided telephone interviewing used in the Hours at Work Survey. 1986 May. 39-41. Tschetter, John H. and Patrick J. McMahon. The declining middle class: a further analysis. 1986 Sept. 22-27. Voos, Paula. Environmental factors in the labor-management relationship. 1986 Apr. 47-48. Weinert, Michael. Book review. 1986 May. 52. --------- .Book review. 1986 July. 50. Zalusky, John. Short-time compensation: the aflcio perspective. 1986 May. 33-34. Women’s role in the family At the extremes, . . . the economic conditions of the United States and Mexico have different effects on the employment behavior of married women. The higher cost of living in the United States compels women to seek work, even over the initial objections of their husbands. The specific conditions of that employment must, however, mesh with wives’ dual role as wage-earner and housekeeper/babysitter. In contrast, the lower cost of living and lack of alternative employment in Mexico bolster husbands’ traditional objections to wives’ employment. . . . the type and duration of employment experienced by married farm worker women is strongly influenced by their generally disadvantaged status, by their role in the family, and by the economic position of the family. In almost all instances, women’s work careers are organized in such a way as to carry out the traditional duties of wife and mother, in addition to that of wage earner. A wife’s wage may represent an integral part of the family budget, particularly in the case of families living in the United States and border areas, but the range of work opportunities and the duration of employment are limited by her subordinate status in the family. Thus, the availability of work in low skill, seasonal production allows women to carry out the dual roles of wife and wage-earner. At the same time, however, the availability of this attractive labor pool facilitates ex pansion of those jobs. — Robert J. Thomas, Citizenship, Gender, and Work: Social Organization of Industrial Agriculture (Berkeley, University of California Press, 1985), p. 193. 100 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 6 U. S. GOVERNMENT PRINTING OFFICE : 1986 181-512/40010 B LS Periodical Prices Reduced BLS periodicals provide timely information on employ ment, occupations, wages, and prices. Subscriptions now are available at greatly reduced prices. 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