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MONTHLY LABOR REVIEW U S. Department of Labor Bureau of Labor Statistics October 1982 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis In this issue: Articles on unpaid family workers and the productivity puzzle U.S. DEPARTMENT OF LABOR Raymond J. Donovan, Secretary 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, D.C. 20212. Phone: (202) 523-1327. Subscription price per year— $23 domestic; $28.75 foreign. Single copy $3.50 Subscription prices and distribution policies for the Monthly Labor Review (ISSN 0098-0818) and other Government publications are set by the Government Printing Office, an agency of the U.S. Congress. Send correspondence on circulation and subscription matters (including address changes) to: Superintendent of Documents, Government Printing Office, Washington, D.C. 20402 Make checks payable to Superintendent of Documents. The Secretary of Labor has determined that the publication of this periodical is necessary in the transaction of the public business required by law of this Department. Use of funds for printing this periodical has been approved by the Director of the Office of Management and Budget through October 31, 1982. Second-class postage paid Laurel, Md. Library of Congress Catalog Card Number 15-26485 Regional Commissioners for Bureau of Labor Statistics Region I — Boston: Anthony J. Ferrara 1603 JFK Federal Building, Government Center, Boston, Mass. 02203 Phone: (617) 223-6761 Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont Region II — New York: Samuel M. 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Browar 911 Walnut Street, Kansas City, Mo. 64106 Phone: (816) 374-2481 VII Iowa Kansas Missouri Nebraska VIII Colorado Montana North Dakota South Dakota Utah Wyoming October cover: Girl at a Sewing Machine, a 1922 oil painting on canvas by Edward Hopper; courtesy International Exhibitions Foundation, Washington, D.C., from “ 20th Century Masters: The Thyssen-Bornemisza Collection.” Cover design by Ann Meekins, Division of Audio-Visual Communications, U.S. Department of Labor https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Regions IX and X — San Francisco: D. Bruce Hanchett 450 Golden Gate Avenue, Box 36017, San Francisco, Calif. 94102 Phone: (415) 556-4678 IX American Samoa Arizona California Guam Hawaii Nevada Trust Territory of the Pacific Islands X Alaska Idaho Oregon Washington " 'ï. M jjs»'v V MONTHLY LABOR REVIEW '■-V'" W OCTOBER 1982 VOLUME 105, NUMBER 10 mi Henry Lowenstern, Editor-in-Chief Robert W. Fisher, Executive Editor L IB R A R Y NOV 3 1982 Patricia A. Daly 3 Unpaid family workers: long-term decline continues The number of those working without pay in family businesses in 1981 was less than half the total recorded in 1950, the sharpest drop occurring in the agricultural sector A. S. Herman, J. W. Ferris 6 Productivity growth average in farm machinery manufacturing Productivity gains, aided by new technology, especially computers, but moderated by cyclical downturns, averaged 2.6 percent a year during the 1958-80 period M. K. Farris, J. D. York 11 Hand and edge tool industry experiences slow rise in productivity During 1958-80, annual productivity growth averaged just 1.3 percent, less than half the rate of manufacturing as a whole; industry employment grew by more than 50 percent Paul S. Adler 15 The productivity puzzle: numbers alone won’t solve it From management, labor, academia, and government, contributors to four recent books grapple with the lag in productivity growth, with little help from economic theory Helen Ginsburg 22 Sweden combats unemployment of young and older workers Joblessness among the 16- to 24-year-olds and those 45 years and over in Sweden, although low by American standards, worsened during the recessions of the 1970’s REPORTS J. A. Bunn, J. E. Triplett Mark S. Sieling Julie Misner Harish C. Jain https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Reconciling the CPI and the PCE Deflator: second quarter 1982 Occupational salary levels for white-collar workers, 1982 Political issues dominate ILO conference; worker standards adopted Canadian legal approaches to sex equality in the workplace DEPARTMENTS Labor month in review Anatomy of price change Research summaries Foreign labor developments Major agreements expiring next month Developments in industrial relations Book reviews Current labor statistics Labor M onth In Review COOPERATION between management and labor was the focus of an unusual conference that drew nearly 1,000 in dustrial relations practitioners to Washington, D.C., September 9 and 10. Sponsored by the Federal Mediation and Conciliation Service, the conference featured a report by Peter Pestillo, vice president for labor relations of the Ford Motor Company, about union-manage ment cooperation in the auto industry, and a score of discussions and workshop sessions dealing with labor-management committees, quality of worklife pro grams, quality circles, and similar ef forts. Excerpts: Daniel Quinn Mills, Harvard Univer sity: Collective bargaining practiced primarily as rule-making has become self-defeating for both unions and management. We must go beyond both rule-making and the adversarial em phasis if a major new contribution to American economic performance is to be made. Rule-making may be replaced by a greater degree of employee par ticipation and commitment in the workplace, but unless the adversarial posture changes, increased participation is of no use. Instead of resolving produc tion problems, participatory schemes will simply add additional delays to management decisionmaking. It is time to draw on the older tradi tion of the American labor movement to move beyond the concept of collective bargaining as primarily a rule-making process. This should be done by putting far more flexibility into the collective bargaining agreement through less detailed provisions, through reorganized work arrangements, and through dif ferent incentives for both management and labor. Some rule-making and the legal enforceability of contracts are not to be abandoned. But they must now take a back seat to attempts to move the 2 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis collective bargaining process beyond continual confrontation and into a more constructive mode. A commitment to enhancing produc tivity is not easily made by American unionists. Too often increased produc tivity has simply meant speeding up the pace at which managers require employees to work. But there is far more to improving productivity than speedups; and the failure to seek productivity improvement in a company threatens the continued existence of jobs that the company provides. Unions must find a way to be more sophisticated in their response to management efforts to im prove productivity. Some efforts should be opposed, but others must be sup ported. And the goal of improving pro ductivity should be accepted. Raymond J. Donovan, Secretary of Labor: I recently created, within the Department’s Labor-Management Serv ices Administration, a Division of Cooperative Labor-Management pro grams. This new unit, whose work is just now getting under way, will serve as the focal point of our various activities in this area of concern. It will be responsi ble for developing and administering a program of technical assistance and in formation designed to encourage and assist employers and unions to under take joint efforts to enlist the talents and energies of workers in a common cam paign to improve productivity and quali ty of working life. When fully operative, management and union officials, as well as academic and other third parties, should have at their disposal a hitherto unavailable store of information about current issues and innovative industrial relations practices. While these kinds of data may now exist in goodly amounts, they are widely scattered and not readily accessed by those most in need of them. As a result of this information clutter, there is too much reinventing of the wheel and too little chance to build on the basis of experience already gained. The type of central information ex change we envision should go far to cor rect this problem. One of the chief purposes of the Labor Department’s program is to bolster existing institutional capabilities by providing services primarily to such intermediate support groups as area and industry labor-management committees, productivity and quality of working life centers, trade associations and interna tional unions. These are the organiza tions that local employers and unions should rely on to obtain more direct forms of assistance in developing their own cooperative programs. Glenn Watts, president, Communica tions Workers of America: During the past few years, Quality of Work Life has become a controversial topic for American labor. A growing number of unions have become involved in q w l ef forts, either on their own initiative or management’s; but at the same time op position has become stronger. The controversy comes from the fact that q w l challenges many of the tradi tional ways in which unions do business. It is based, first of all, on a cooperative, problem-solving relationship between labor and management, instead of the familiar adversarial style. One result is that in most q w l efforts the grievance rate drops significantly. And further, q w l increases the direct contact between employers and shopfloor workers, threatening to bypass the union. These aspects of q w l are seen by many in the labor movement as a threat. But others—and I include myself among them—see it as offering a great oppor tunity to extend the reach of collective bargaining. □ Unpaid family workers: long-term decline continues The number of those working without pay in fam ily businesses dropped by 1981 to less than half of the 1950 total; agriculture, where most had been employed, registered the sharpest loss of jobs Patricia A. D aly For more than 30 years, the total number of persons working without pay in family businesses has dwindled to a point that, by 1981, was less than half of the 1950 total. At 650,000, unpaid family workers accounted for less than 1 percent of total employment in 1981, down from almost 3 percent in 1950. Historically, the vast majority of unpaid family work ers had been in the agricultural sector, but there are now fewer unpaid family workers in agriculture than in other industries. Unpaid family workers accounted for one-sixth of farm employment in 1950, but for less than one-tenth in 1981. The largest numerical decline oc curred between 1960 and 1970, a decade which experi enced dramatic declines in total agricultural employ ment. Although the number of unpaid family workers in nonagricultural industries has fluctuated in the last 30 years, the levels for 1950 and 1981 were virtually the same at about 400,000, a very small share of nonfarm employment. (See table 1.) This article is the first by the Bureau of Labor Statis tics to examine and analyze the available data on un paid family workers. The group, although numerically small, exhibits some interesting characteristics and re flects some of the widespread changes in the work force and the economy. Patricia A. Daly is an economist in the Division of Employment and Unemployment Analysis, Bureau of Labor Statistics. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Classification of workers Since the 1940’s, the Current Population Survey (a monthly survey of households) has obtained informa tion on an individual’s labor force activity during a des ignated period. Based on the responses of a household member to a series of questions, each individual aged 16 years and older is classified as employed, unemployed, or not in the labor force. To be considered employed, a person must be paid for at least one hour of work (wage and salary worker); operate one’s own business, profession, or farm (self-employed); or work without pay for 15 or more hours per week in a family business or on a family farm (unpaid family worker). Those who have a job but are not at work temporarily for such reasons as illness, vacation, or an industrial dispute are also counted as employed, whether or not they are paid. The first question asked the respondent about each appropriate household member is, “What was . . . doing most of last week— working or something else?’’ This is followed by “Did . . . do any work at all last week, not counting work around the house?” If there is already a farm or business operator enumerated in the household, the respondent is asked specifically about unpaid work. Data are collected on hours worked at all jobs; how ever, an individual is assigned to an occupation, indus try, and class-of-worker category based on the job in which he or she worked the most hours. Thus, individu3 MONTHLY LABOR REVIEW October 1982 • Unpaid Family Workers Table 1. Unpaid family workers in agriculture and nonagricultural industries by sex, annual averages, selected years, 1950-81 [Numbers in thousands] Total Industry and year All industries: 1950 . . 1960 . . 1970 . . 1981 . . Men Women Percent of Percent of Percent of Number Number Number employment employment employment . . . . 1,573 1,499 1,001 656 2.7 2.3 1.3 .7 523 385 213 138 1.3 .9 .4 .2 1,050 1,114 788 519 6.1 5.1 2.7 1.2 .. . ... ... ... 1,190 901 499 266 16.6 16.5 14.4 7.9 466 310 160 91 7.8 6.9 5.6 3.4 724 596 339 176 62.5 60.4 56.4 26.4 Nonagriculture: 1950 . . . 1960 . . . 1970 . . . 1981 .. . 383 598 502 390 .7 1.0 .7 .4 57 75 53 47 .2 .2 .1 .1 326 518 449 343 2.0 2.5 2.2 .8 Agriculture: 1950 1960 1970 1981 Agriculture Men Women Total number (in thousands) . . Percent ................ Ages 16-24 . . Ages 25-54 . . Ages 55 and o v e r............ als who do unpaid family work but work more hours in another job are not counted as unpaid family workers. Demographic changes Sex. Women are far more likely to be unpaid family workers than men, particularly in nonagricultural indus tries. As the mix between agriculture and nonagricul tural industries has changed, the female proportion of unpaid family workers has increased: 1950 1960 1970 1981 Total employment (in percent): Men ............................... Women .......................... 30 70 26 74 21 79 21 79 Agriculture: Men ............................... Women .......................... 35 65 34 66 32 68 34 66 Nonagriculture: Men ............................... Women .......................... 15 85 13 87 11 89 12 88 The number of unpaid female family workers declined by 530,000 between 1950 and 1981 and the number of male workers, by 300,000. The percentage declines were more drastic for men overall (74 percent) than for wom en (51 percent). Table 1 provides employment levels and the percent of agriculture and nonagricultural em ployment which unpaid family work represents. The employment declines may reflect changing soci etal values and economic conditions which include the fact that more women are seeking paid employment and that there is an increasing societal acceptance and ex pectation of this phenomenon. In agriculture, particular ly, the trends are consistent with the breakup of the traditional family farm which has resulted in increases in farm size, decreases in the number of farms, more in corporations, and more part-time farming. Digitized 4for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Age. One of the ways in which young persons can gain valuable experience and assist their families until they begin their own careers is by doing unpaid family work. As the following percentage distribution of 1981 data suggests, the vast majority of male unpaid family work ers are under 25 years of age, while most women in this category are in the central age group— 25 to 54: Nonagriculture Men Women 91 176 47 343 100 81 11 100 13 67 100 57 23 100 7 73 8 20 19 20 The large differential may reflect the fact that men in the central age group were somewhat more likely to seek paid employment. What may be more important, however, is that, in a family operated business or farm, the husband may be counted as self-employed and the wife as an unpaid family worker. This would explain the large percentage of female unpaid family workers in the 25-54 age group. The fact that men accounted for almost 90 percent of the self-employed in agriculture and nearly 70 percent in nonagricultural industries lends some support to this interpretation. Race. Although black and other minority races made up about 13 percent of the civilian labor force, they accounted for only 2 percent of unpaid family workers in agricultural industries and 6 percent of those in nonagricultural industries. This is undoubtedly related to the low proportion of blacks and other minorities operating their own farms and businesses— 4 percent of self-employed workers in agriculture and 7 percent in other industries. Occupational trends An examination of data on unpaid family workers by occupation revealed sharp differences between men and women as well as a shift from farm to white-collar oc cupations as the most common job categories for un paid family workers. Women accounted for almost 80 percent of unpaid family workers in 1981 and they had more jobs than men in every occupational group. More than half were doing white-collar work, while most of the male unpaid family workers were in farming. With the decline in unpaid family work on farms, white-collar occupations have overtaken farm occupa tions as the dominant group for unpaid family workers. Within the white-collar group, three-fourths of unpaid family workers had clerical jobs in 1981 and more than 100,000 were bookkeepers. Unpaid family workers were also frequently employed as secretaries and as sales clerks in retail trade. Individuals doing unpaid family work were dispersed throughout other white-collar oc cupations, and a sprinkling may be found in blue-collar and service occupations. The number of farm laborers declined by half a mil lion between 1960 and 1970 and by a quarter million since 1970. Nevertheless, at 254,000 in 1981, farm labor ers ranked the highest among the specific occupations. The nature of various occupations obviously makes them more or less suitable for unpaid family work. It is more likely that a family member will be called upon to do farm chores or typing than plumbing or carpentry. rather than as employed.1 In 1981, there were 130,000 persons in this group— mostly women in nonagricultural jobs. Although obtaining information on the number of hours worked is important, it may be difficult to re member exactly how many hours were worked if no pay was involved. Reporting by another household member (proxy response) may be even less reliable. Nonetheless, it is worthwhile to compare average hours at work for agricultural and nonagricultural workers by whether they work for wages or salary, or are self-employed, or are unpaid family workers: Agriculture Patterns by industry In general, there was a higher incidence of unpaid family workers in industries with a large number of selfemployed workers. Agriculture, for instance, had an ex tremely high percentage of self-employed workers (al most half), and thus had the largest percentage and number of unpaid family workers. Trade also had a substantial number of unpaid family workers— about 170,000 in 1981 or one-fourth of all unpaid family workers. Most unpaid family workers were in retail trade, with particularly high concentra tions in eating and drinking places, groceries, and gaso line service stations— establishments which had a high number of self-employed workers. Among the service industries, business and repair ser vices such as automobile repair, personal services such as laundry and cleaning, and professional services such as those of physicians and dentists employed more un paid family workers than others. The self-employed were also well represented in these industries. Between 1970 and 1981, the greatest industrial change among unpaid family workers was the decline in agricul tural employment as its proportion of the total dropped from 50 to 41 percent, representing a reduction of over 200,000 workers. The construction, manufacturing, and miscellaneous service industries all gained in the percent age of unpaid family workers, although only construc tion and manufacturing actually added jobs. Wage and salary ..................... S elf-em p lo y ed .................... Unpaid family workers . . 40.8 49.3 39.4 Nonagriculture 37.7 40.5 35.8 While unpaid family workers averaged fewer hours than either wage and salary or self-employed workers, the differential was not as large as might be anticipated. Thus, in terms of worker input as measured by time, unpaid family work is not a marginal form of employ ment but rather a significant contribution to family businesses. and labor force trends in recent years would seem to preclude the possibility of an increase in either the number or concentration of un paid family workers in the foreseeable future. If employ ment in agriculture continues to decline, unpaid family workers will undoubtedly do the same. This tendency is compounded as farms grow larger, incorporate, and consequently employ more wage and salary workers. Because unpaid family work accounts for less than 1 percent of total employment, the aggregate changes are not of great importance. The real significance is the so cioeconomic changes which influence a person to choose this kind of work. □ T h e ECONOMIC STRUCTURE --------- FOOTNOTE---------- Hours worked Unpaid family workers who put in less than 15 hours a week on the job are classified as not in the labor force https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 1The number of hours worked is integral to the assignment of a worker to the unpaid family worker category, in that the individual must work 15 or more hours per week to be counted in this group. 5 Productivity growth average in farm machinery manufacturing Productivity gains, aided by new technology, especially computers, but moderated by cyclical downturns, averaged 2 .6 percent a year over the 1958-80 period A rthur S. H erman and John W. F erris Productivity, as measured by output per employee hour, in farm machinery manufacturing1 was about the same as the average for all manufacturing industries over the 1958-80 period. Growth was aided by numerically con trolled machine tools, automatic welding, computerized manufacturing, industrial robots, and computerized au tomatic warehouses, but was partially offset by sharp declines in demand. Almost every decline in productivi ty during the period studied can be associated with a drop in output, which, in turn, usually coincides with downturns in the economy. During the 22-year period, productivity in the farm machinery industry grew at a rate of 2.6 percent a year, compared with 2.7 percent per year for all manufacturing industries; 1.9 percent for construction machinery, an industry which uses similar manufacturing techniques; and 3.2 percent for motor vehicles, another similar industry. Output, productivity follow farm income Productivity growth in the farm machinery industry can be divided into three distinct periods. From 1958— 65, productivity grew at an annual rate of 1.7 percent; from 1965-74, it accelerated to a 3.3-percent rate; and from 1974-80, slowed to 0.2 percent. (See tat>le 1.) The higher rate of gain during the 1965-74 period can be as sociated with years of very high output, fueled by dra matic increases in farm income. Arthur S. Herman is an economist and John W. Ferris is a statistician in the Division of Industry Productivity Studies, Bureau of Labor Sta tistics. Digitized for 6 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Productivity changes in the farm machinery industry are closely tied to output changes over the short term. Demand for farm machinery is based on a number of interrelated factors. A major factor is the overall state of the economy. However, an even more directly related factor is farm income. Changes in the output of farm machinery closely parallel changes in farm income. When farm income is up, farmers tend to purchase new equipment. Among the determinants of income are crop size, both actual and anticipated in the near future, and farm prices. Crop size is, of course, affected by a num ber of variables, including the weather, farm prices, government policies, and the worldwide food supply. Other important factors affecting the production of farm machinery are farmers’ costs, such as for loans, new machinery, land, fertilizers, and pesticides, as well as age and condition of existing equipment and imports and exports of farm equipment. When income is low and prospects appear poor, farmers tend to make do by repairing, rather than re placing, existing equipment. Conversely, when income is growing and prospects for further expansion of profits appear good, they tend to purchase new, more produc tive equipment. Demand for machinery increases signifi cantly during these expansive periods, as does produc tivity. The impact of the numerous variables affecting demand changes rapidly over time; therefore, output of farm machinery shows wide swings. Productivity, how ever, moves in a less volatile manner. For example, out put grew by 6.3 percent between 1958 and 1959, but then dropped precipitously in 1960, a recession year, falling 18.3 percent. Concomitantly, productivity had no growth in 1959 and dropped sharply, by 7.1 percent, in 1960. In 1966, output increased substantially, up 19.4 percent, then declined for 4 consecutive years, one of which was the recession year of 1970. Following output, productivity also grew substantially in 1966, up 6.2 per cent, and then dropped sharply, averaging 0.8 percent from 1967 to 1970. The early 1970’s were a period of high output growth, with gains of 16.5 percent in 1972, 21.3 percent in 1973, and 14.3 percent in 1974. This strong growth can be attributed to a sharp increase in farm income re sulting, in part, from large exports of farm products, in cluding sales of grain to Russia. Productivity recorded its largest advances during this period, with increases of 8.9 percent in 1971, 9.3 percent in 1972, 5.2 percent in 1973, and 3.6 percent in 1974. In the more recent period— 1980, a recession year— output dropped 15.1 percent, as farm income declined precipitously. In turn, productivity declined 6.7 percent. A factor affecting output over the long term is the continuously increasing size of farms. The average farm in the United States has shown a significant increase in size, growing about 40 percent in acreage over the peri od studied.2 This created a need for an increase in the physical dimensions and horsepower of farm machinery. To cope with the growing acreage, farmers purchased larger, more powerful equipment, rather than increasing their labor force. For example, the average horsepower (pto) rating of tractors was 106 in 1980, compared with 67 in 1958. Demand for farm equipment has also been enhanced by such equipment as 4-wheel drive tractors, which allow farming in previously marginal areas, and such amenities as air conditioning and stereo radio and cassette equipment in the cabs of the larger units. Demand for larger, more productive farm machinery has been one factor leading to the industry’s long-term growth rate in output of 4.2 percent, somewhat higher than the 3.8 percent for the total manufacturing sector. Highly advanced farm equipment is one of many rea sons that productivity has been significantly higher in the farm sector than in the nonfarm sector. Plants located in Farm Belt The farm machinery manufacturing industry has paralleled the growth of agriculture in the United States. Some of the larger firms can trace their origins to the development of horse drawn harvesting equip ment in the early 1800’s. Therefore, farm machinery manufacturing is a mature industry, producing a variety of equipment for both U.S. markets and export. There were 2,148 establishments in the farm machin ery industry as of 1977, a significant increase over the 1,949 establishments reported in 1958. The number of https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Table 1. Output per employee hour and related indexes in the farm machinery equipment industry, 1958-80 [1977 = 100] Employee hours Output per hour Nonpro Nonpro Output Production All Production All duction duction employees workers employees workers workers workers Year 1958 . .. 1959 . .. 1960 . . . 65.1 65.1 60.5 64.9 63.4 61.3 65.5 70.3 58.6 49.4 52.5 42.9 75.9 80.7 70.9 76.1 82.8 70.0 75.4 74.7 73.2 1961 1962 1963 1964 1965 . . . . . .. .. .. .. .. 62.9 65.1 66.6 70.2 72.2 61.3 65.1 64.3 66.9 68.6 67.7 64.8 74.3 82.0 84.8 45.7 48.8 53.7 60.1 64.0 72.7 75.0 80.6 85.6 88.6 74.5 75.0 83.5 89.9 93.3 67.5 75.3 72.3 73.3 75.5 1966 1967 1968 1969 1970 ... . .. ... ... . .. 76.7 76.8 76.7 73.8 75.7 72.3 73.3 75.0 73.2 75.2 92.7 88.8 82.1 75.9 77.3 76.4 73.6 70.8 65.8 65.1 99.6 95.8 92.3 89.1 86.0 105.6 100.4 94.4 89.9 86.6 82.4 82.9 86.2 86.7 84.2 1971 1972 1973 1974 1975 ... ... ... ... ... 82.4 90.1 94.8 98.2 97.7 83.0 87.0 90.7 92.6 95.3 81.0 99.9 109.2 118.3 105.2 66.2 77.1 93.5 106.9 100.0 80.3 85.6 98.6 108.9 102.4 79.8 88.6 103.1 115.4 104.9 81.7 77.2 85.6 90.4 95.1 1976 1977 1978 1979 1980 . . . . . 101.1 100.0 100.8 103.2 96.3 100.5 100.0 100.1 101.7 99.6 103.1 100.0 103.1 108.0 88.1 98.9 100.0 95.6 114.7 97.4 97.8 100.0 94.8 111.1 101.1 98.4 100.0 95.5 112.8 97.8 95.9 100.0 92.7 106.2 110.6 .. .. .. .. .. Average annual rates of change (percent)' 1958-80 1958-65 1965-74 1974-80 2.6 1.7 3.3 0.2 2.7 1.0 3.4 1.2 2.4 3.9 2.9 -2 .9 4.2 3.9 3.7 -0.1 1.5 2.2 0.5 -0.3 1.5 2.9 0.4 -1.4 1.8 ( 2) 0.8 2.9 1 Based on the least squares trend of the logarithms of the Index numbers. 2 Rate of change Is less than 0.05 percent. employees per establishment has remained fairly con stant, dropping slightly from 74 in 1958 to 70 in 1977 (the average for all manufacturing industries was 53). The industry has a few very large firms with numer ous establishments making a variety of equipment— tractors, combines, and other harvesting equipment, crop sprayers, plows, harrows, planters, cultivators, hay balers, and fertilizing equipment. These firms are highly integrated and manufacture many of the parts that are assembled into the final products, including both gaso line and diesel engines, as well as replacement parts for the older units in operation. The large firms generally produce the larger equipment, such as grain harvesting combines, 4-wheel drive tractors, and accessories. There are numerous medium and small firms in the industry. They usually specialize in a particular line or type of equipment, such as milking, poultry, or irrigation equip ment. Many of them serve local markets for highly spe cialized equipment. The smaller firms also make lawn and garden equipment, such as walk-behind lawnmowers and snowblowers. Farm machinery manufacturers are concentrated in the Farm Belt, with most plants in midwestern States— Illinois, Wisconsin, Minnesota, Iowa, Nebraska, and 7 MONTHLY LABOR REVIEW October 1982 • Productivity in Farm Machinery Manufacturing Kansas. Texas and California also have a large number of plants. The largest export market for U.S. manufacturers is Canada. In turn, Canada provides the largest amount of imports of farm machinery into the United States. Employment and hours rapidly adjusted Over the 1958-80 period, the number and hours of production workers and nonproduction workers in the farm machinery industry have grown at similar rates. Production workers increased at an average annual rate of 1.7 percent and their hours grew 1.5 percent. Nonproduction workers grew at rate of 1.7 percent, and their hours increased at a rate of 1.8 percent. Year-to-year changes in employment and hours in this industry tend to move in a similar but less volatile pattern than changes in output. This indicates that the industry can adjust its hours and employment fairly rapidly to changing demand. For example, when de mand is falling overtime usually is cut, the number of shifts worked are reduced, the normal summer shut downs may be extended, and workers may be laid off. The extent of the adjustments in hours due to chang es in demand is influenced by the occupational makeup of the work force. In the farm machinery industry, the largest occupational group is operatives, most of whom are assemblers. Welders, precision machine operators, punch and stamp machine operators, and transportation operators also are important. These employees, along with laborers (mainly freight handlers) are most affected by reductions in demand. The industry also employs a large group of craftworkers— machinists, mechanics, tool and die makers, and blue-collar supervisors.3 Craftworkers are least affected by declines in produc tion; because of their skill levels, employers are reluc tant to lay them off for fear that they may not be available when demand picks up. Technology aids productivity Technological change varies greatly among plants in the farm machinery industry. The more advanced highly sophisticated equipment is used, for the most part, by larger firms engaged in mass production of various products. Slower changes are undertaken by the smaller firms which make short runs of highly specialized prod ucts and generally have limited capital.4 The level of complexity of farm machinery manufac turing differs greatly depending on the product, which can range from a simple plow pulled by a tractor to a complex self-propelled grain harvesting combine. How ever, there are factors common to most farm equipment manufacturing: most of the components are made of iron and steel; they are shaped by such processes as casting, cutting, stamping, punching, boring, and ma chining; and they are joined to form the final product in 8 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis an assembly operation which uses welding and fastening with air powered tools. Farm machinery is usually fin ished by painting, either in the parts stage or as a com pleted unit. Because of the complex nature of many of the products, the varied manufacturing operations involved in producing units, and the fact that farm machinery manufacturing is a mature industry with many old plants, there are numerous areas that are subject to technological change. The larger companies usually make most of the parts they assemble into the final product. Therefore, the technological innovations they employ cover a range of manufacturing operations and have resulted in significant labor savings. During the 1960’s, capital expenditures per employee for new plant and equipment were consistently below the average for all manufacturing industries. However, because of sustained demand for farm equipment in the early 1970’s which strained the industry’s capacity,5 firms began to increase their capital expenditures for new plant and equipment. By 1975, capital expenditures per employee had almost tripled, compared to the level in 1970. This resulted in the installation of advanced manufacturing equipment and large scale plant modern ization and probably was one of the factors leading to a higher rate of productivity increase during the 1970’s than during the earlier decade. Computers are among the widespread innovations with significant impact upon the industry. They are used for many functions, including inventory control, data collection, tracking progress of semi-completed products, design, and for numerous accounting and oth er business purposes. In recent years, computers have been more directly used for manufacturing operations on the factory floor. Numerically controlled machine tools are used exten sively by major companies in the manufacture of the parts used in assembling farm machinery. A recent in novation is computerized numerically controlled ma chine tools, which are more versatile than standard equipment because they can be programmed for chang es by the operator rather than from tapes. One unit in stalled in a large firm is a completely computercontrolled gear case transfer line, using numerically controlled machine tools, where parts automatically go through 87 machining operations.6 One plant is experimenting with a change in machine tool layout, from the traditional setup consisting of banks of individual machines designed for a single oper ation to cells of machine tools based on workflow. This new layout requires high volume, but has cut bottle necks in production and has resulted in operating effi ciencies. Automatic welding has replaced manual welding in a number of installations. In addition, industrial robots are being introduced for welding functions, resulting in more versatile automatic welding operations. Significant efforts have been made to increase efficien cy in materials handling and warehousing functions. These functions are very important because of the nu merous parts that must be moved, the many operations that must be carried out, and the large size of the facto ries involved in the manufacture of the more complex farm machines. A number of plants have installed computerized automatic warehousing and materials han dling systems. In one plant, such a system is used for the materials receiving warehouse. The system is located in a special high rise building attached to the single story plant. Materials are shipped in using the plant’s containers, logged on the computer, and moved auto matically to a preassigned location. When needed, they are called for by the computer, which automatically sends a remote controlled sideloader for them, and are sent via conveyor to the location requesting them. This warehouse is run by a single computer operator. The in stallation of this system resulted in substantial labor savings, while doubling warehouse capacity, because the previously used equipment required numerous forklift operators. Sideloaders are an important innovation in the indus try, even though they require operators. They are narrower and higher than the conventional forklifts which they replace, allowing for increased storage space and versatility in the warehouse. Sideloaders are in creasingly being used in semi-automatic computerized high rise warehousing systems installed in a number of plants. An example of the most advanced technology for as sembly line manufacture in the industry is a recently built tractor plant designed specifically for computer control .7 This plant is unique in that almost all phases of its operations are computer controlled or directed. The plant has high rise computerized automatic ware houses. The parts to be assembled are programmed to move in the correct sequence to produce a finished trac tor via conveyor through the various assembly lines. This is a major advance over the system where parts are made in advance and stored until needed, boxes of parts are moved to the assembly line via forklift trucks, and assemblers pick the correct parts out of the boxes to as semble the final product. The new plant uses industrial robots for welding and painting. The robotic painting machines are programmed to move their spray guns to paint the correct part of the tractor chassis as it moves by on the conveyor line. This differs from conventional automatic spray painting equipment, which uses fixed spray guns, in that it more closely approximates a hu man spray painter. Almost all welds for the frame of the tractor cabs made at this plant are done on an electronically controlled automatic framing buck which https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis is run by a single operator. The assembly lines are set up so that fasteners and other small parts are fed di rectly to the assemblers at the correct height for their use. This plant’s design significantly cuts parts invento ry, reduces handling, increases manufacturing efficiency, and results in overall labor savings. Besides robotic painting, which is just being intro duced in the industry, there are a number of other inno vations that increase painting efficiency. One system, electrostatic painting, has been used for a number of years. In this process, electrically charged parts move through an automatic paint spray booth, with the paint mist attracted to the charged part. Another innovation is electric dip paint lines, in which charged parts are dipped into a paint-filled tank from which paint is pre cipitated out on the part. These systems have resulted in savings in both paint and labor. While the advanced innovations are most readily adapted by the larger multiline companies, smaller firms in the industry tend to introduce new technology more slowly. Many of the latter specialize in a particular product, such as pipeline milking units or self-propelled irrigation systems. Although these units are usually pro duced from common components (pipes, tanks, spray guns, and pumps), they are generally assembled to fit a particular farmer’s need. Because of the semicustom na ture of production used by these smaller firms, it is dif ficult to adapt much of the available new technology which is designed for volume production. In addition, many of the smaller firms are located in rural areas near the farms they serve and do not have the access to the capital markets as do the major companies. Future trends uncertain Changes in output and productivity in the farm ma chinery industry are expected to continue to reflect changes in farm income. In the near future, the outlook for farm income is uncertain. It has been falling since 1979; and currently, there are pressures on farm prices that are expected to slash farm profits. In addition, such factors as high interest rates and high fertilizer and pes ticide costs are also expected to reduce farm income. The export market is uncertain, and farm prices are down. This situation could result in a continuation of the recent negative pressure on demand for farm ma chinery. In addition, technological changes in the near future may be affected by the financial difficulties of a number of the major companies in the industry, which are expected to limit capital expenditures for new plant and equipment. Over the long term, modernization of plant and equipment is expected to continue in the farm machin ery industry, with particular emphasis on labor savings and cost reduction. These changes will be fueled by possible competition with Japan in the market for larger 9 MONTHLY LABOR REVIEW October 1982 • Productivity in Farm Machinery Manufacturing farm equipment, which is presently dominated by U.S. concerns. Japan currently holds a large share of the U.S. market for small tractors .8 The future will see growing installation of automatic welding equipment and increasing use of industrial robots for welding, painting, and other high volume, difficult operations. Computers will increasingly be used for manufacturing operations and in design functions. [3 FOOTNOTES ' Average annual rates of change are based on the linear least squares trends of the logarithms of the index numbers. The farm ma chinery and equipment industry is designated industry 352 in the Standard Industrial Classification Manual, 1972 Edition, issued by the Office of Management and Budget. The industry comprises establish ments primarily engaged in the manufacture of farm machinery and equipment, and garden tractors and lawn and garden equipment. A technical note describing the indexes is available from the Office of Productivity and Technology, Bureau of Labor Statistics, Washington, D.C. 20212. The indexes for this industry will be updated and includ ed in the Bureau of Labor Statistics’ annual bulletin, Productivity Measures fo r Selected Industries. 1 Statistical Abstract o f the United States, 1980 (U.S. Department of Commerce, 1980), p. 686. 3 1 970 Census o f Population, Occupation by Industry, Voi. PC(2)-7C (U.S. Department of Commerce, 1972), pp. 281-88. 4 Based on discussions with industry experts. 5 U.S. Industrial Outlook, 1974 (U.S. Department of Commerce, 1973), p. 301. 6John Deere Harvester Works (Deere and Company, 1979), p. 10. 7John Deere Tractor Works (Deere and Company, 1980), pp. 6-18. 8 U.S. Industrial Outlook, 1981 (U.S. Department of Commerce, 1980), p. 260. APPENDIX: Measurement techniques and limitations Indexes of output per employee hour measure chang es in the relation between the output of an industry and employee hours expended on that output. An index of output per employee hour is derived by dividing an in dex of output by an index of industry employee hours. The preferred output index for manufacturing indus tries would be obtained from data on quantities of the various goods produced by the industry, each weighted (multiplied) by the employee hours required to produce one unit of each good in some specified base period. Thus, those goods which require more labor time to produce are given more importance in the index. In the absence of adequate physical quantity data, the output index for this industry was constructed by a deflated value technique. The value of shipments of the various product classes were adjusted for price changes by appropriate Producer Price Indexes to derive real 10 FRASER Digitized for https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis output measures. These, in turn, were combined with employee hour weights to derive the overall output measure. These procedures result in a final output index that is conceptually close to the preferred output mea sure. Employment and employee hour indexes were derived from data from the Bureau of the Census. Employees and employee hours are each considered homogeneous and additive, and thus do not reflect changes in the qualitative aspects of labor such as skill and experience. The indexes of output per employee hour do not measure any specific contributions, such as that of labor or capital. Rather, they reflect the joint effect of factors such as changes in technology, capital investment, ca pacity utilization, plant design and layout, skill and ef fort of the work force, managerial ability, and labormanagement relations. Hand and edge tools industry experiences slow rise in productivity During 1958-80, annual productivity growth averaged just 1.3 percent, less than half the rate for manufacturing as a whole; industry employment grew by more than 50 percent M ary K. F arris and James D. Y ork Despite the growing do-it-yourself market and the in troduction of new technology, productivity growth has been sluggish in the manufacture of wrenches, hammers, axes, files, and other hand and edge tools. During the 23-year period ended in 1980, output per employee hour increased at less than half the annual rate of all manu facturing. This modest productivity rise in the hand and edge tools industry stems from the very gradual nature of technological improvements. These improvements have been characterized by increases in equipment speed and the continued introduction of automated controls. As measured by output per employee hour, produc tivity in the industry grew at an average annual rate of only 1.3 percent during 1958-80, compared with 2.8 percent for all manufacturing .1 Output increased at a rate of 3.3 percent and employee hours, by 2.0 percent. (See table 1.) During the period, the industry experienced moderate productivity growth in the early years and a significant slowdown in the later years— a pattern exhibited in general by the manufacturing sector. From 1958 to 1965, output per employee hour increased at an average annu al rate of 2.6 percent. Productivity increased in every year except 1960. During 1965-80, productivity growth slowed significantly from the earlier period, advancing at an average rate of only 0.7 percent a year. The aver age annual output increase slowed to 2.6 percent while Mary K. Farris and James D. York are economists in the Division of Industry Productivity Studies, Bureau of Labor Statistics. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis employee hours went up by 1.9 percent a year. This marked falloff in productivity growth in turn re flects developments during two subperiods, 1965-73 and 1973-80, with different growth rates. From 1965 to 1973, productivity grew at an average annual rate of 1.3 percent, and during 1973-80, by 0.5 percent per year. The productivity trend was not steady, however, with both the largest increase and decrease occurring during the earlier subperiod. The largest drop, 6.4 percent, was in 1970, a recessionary year, during which output fell 7.1 percent and employee hours declined 0.7 percent. Both continued to decrease in 1971, but in 1972 the in dustry experienced a large turnaround; output rose by 17.1 percent, greatly outstripping the rise in employee hours of 9.2 percent. The resulting productivity gain of 7.2 percent was the largest during the study period. The slow growth during the 1973-80 period reflected in part the 1974-75 recession. In 1974, output per em ployee hour dropped by 4.8 percent and in 1975, by 3.1 percent. Industry productivity rebounded strongly from the recession, however, rising by 3.9 percent in 1976 and by 2.5 percent in 1977. Productivity gains slowed in 1978 and 1979 as output growth moderated. The in crease in 1978 was only 0.6 percent, followed by a rise of 3.7 percent in 1979. In 1980, with the economy expe riencing a strong downturn, productivity fell by 5.1 per cent. Employment and plant size The level of employment in the industry has grown 56 percent since 1958, from 30,300 to 47,200, equivalent 11 MONTHLY LABOR REVIEW October 1982 • Hand and Edge Tool Industry Productivity to an average annual increase of 2.2 percent. Employee hours advanced at an annual rate of 2.0 percent during the period, reflecting a slight decline in average hours per person. The number of production workers in creased 53 percent; the share of the total work force accounted for by production workers has remained close to 80 percent. A trend to larger plant size has resulted in an in crease in the average number of employees per estab lishment. Between 1958 and 1977, the average number of employees per establishment rose from 40 to 65. The number of establishments with 500 employees or more almost tripled during this period, growing from 8 to 22. However, despite the trend to larger plant size, most es tablishments in the industry remain small. In 1977, 59 percent had fewer than 20 employees, although they only accounted for 5 percent of the shipments. The larger firms (100 employees or more) accounted for 79 percent of industry shipments. Markets Automotive distributors, industrial distributors, and consumers constitute the major markets for handtools. The largest group of handtools consists of mechanics’ hand service tools, the bulk of which is marketed by au tomotive jobbers or distributors. Some of these vendors are “wagon peddlers” who sell the tools directly to ga rages and professional mechanics, providing quality Table 1. Productivity and related indexes for hand and edge tools, 1958-80 [1977 = 100] Output per employee hour Output Employee hours Employees 1958 ............. 1959 ............. 1960 ............. 74.0 79.0 77.0 47.2 55.0 52.1 63.8 69.6 67.7 64.5 67.9 66.2 1961 1962 1963 1964 1965 ............. ............. ............. ............. ............. 79.8 81.5 84.0 86.1 91.2 55.7 60.8 56.9 61.5 70.2 69.8 74.6 67.7 71.4 77.0 68.1 71.7 67.0 69.6 75.1 1966 1967 1968 1969 1970 ............. ............. ............. ............. ............. 88.8 93.9 95.5 97.2 91.0 75.6 73.3 74.4 80.4 74.7 85.1 78.1 77.9 82.7 82.1 80.9 76.4 76.6 81.1 80.2 1971 1972 1973 1974 1975 ............. ............. ............. ............. ............. 94.4 101.2 101.8 96.9 93.9 72.7 85.1 92.2 87.1 75.8 77.0 84.1 90.6 89.9 80.7 75.7 83.6 89.8 89.4 80.9 1976 1977 1978 1979 1980 ............. ............. ............. ............. ............. 97.6 100.0 100.6 104.3 99.0 85.1 100.0 107.8 112.1 95.5 87.2 100.0 107.2 107.5 96.5 87.7 100.0 106.8 108.7 100.4 Year Average annual rates of change (in percent) 1958-80 . . . . 1975-80 . . . . 12 1.3 1.4 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 3.3 6.1 2.0 4.7 2.2 5.2 tools and service-oriented marketing. Mechanics’ hand tools are a fast growing segment of the industry. De mand is generated from the design changes made by au tomakers (including the conversion to metric) neces sitating the purchase of new tools by the professional mechanic.2 Distribution to industrial users creates another mar ket for handtools. Demand in this segment generally follows overall economic trends— rising during industri al expansion and slackening during economic down turns. Construction activity also has an impact on sales of handtools, especially heavy forged tools such as sledges and picks. The burgeoning do-it-yourself market has influenced some domestic producers to orient their product lines toward the household market. Rising interest rates and declining housing starts have generated more remodel ing and self-improvement projects which require tools. Expenditures for maintenance and repairs tripled during 1965-79, and construction improvements quadrupled.3 In the 1970’s, some companies redesigned their line of specialized professional tools to provide the amateur with popularly priced, good-quality versions. The pro portion of the population in the household-forming years has been increasing, thus providing the industry with a potentially good future market. The do-it-your self market is somewhat countercyclical, providing some cushion to the companies during economic downturns. Do-it-yourself sales grew 27 percent during the 1974-75 recession.4 Competition from imports has been intensifying in re cent years and is becoming an increasingly important fac tor in the domestic market. Imports of all handtools as a percent of new supply (domestic shipments and imports) have increased considerably since 1968, rising from about 6 percent to 11.5 percent in 1979.5The export market has declined in relative importance during the last few years. Exports as a percent of domestic product shipments reached a peak during 1974 and 1975, rising to ratios of 15 and 16.2 percent. The ratio has declined steadily since then, falling to 12.4 percent in 1979. Technological advancement The hand and edge tools industry produces a wide variety of products ranging from wrenches of all types and sizes to striking tools such as hammers, axes, and sledges. The industry also makes garden equipment such as hoes, rakes, and forks. Although the basic processes involved in the produc tion of hand and edge tools have changed little over the period, there have been improvements in the equipment and methods used. Many of these changes have been evolutionary in nature and have occurred on an inhouse basis, with individual plants developing much of their own equipment to improve productivity. The re- suit has been faster equipment speeds, increasing auto mation of certain processes, and more rapid materials flow. The introduction of robots by some manufacturers has been part of the effort to achieve more complete mechanization of the production processes. Robots are an integral part of an automated materials handling op eration. They are used to help move workpieces to and from forging presses and to and from the forging press dies, and to assist with other operations such as the movement of workpieces to and from the oil quenching process. One of the most basic processes involved in the pro duction of products requiring a high degree of strength and hardness is forging. The objective of forging is to “hot work” the steel into specific shapes, concentrating the grain structure and fiber formation at the point of greatest shock and stress. This results in the achieve ment of the utmost strength and toughness inherent in the specific grade of steel that is used. This is especially im portant for striking tools. To make hand and edge tools, a steel bar is sheared to the desired length and is then heated in an electric, oil, or gas-fired furnace. The bar is heated to a plastic condition and is then transferred to the forging ham mer. Typically, drop forging hammers using closed im pression dies perform the actual forging operation. (However, forging presses can also be used.) Intermit tent blows of the hammer refine the steel billet or bar through a series of cavities in the die attaining the re quired shape in the finishing impression. A matched set of dies is used, with the lower die remaining stationary while the upper die vertically strikes the steel bar. Sepa rate die impressions are used for preliminary and final forming operations. Improvements in the ovens used to heat the metal for the forging operation have contributed to faster produc tion rates. The speed with which these ovens can raise the temperature of the metal to the necessary level has improved, thus reducing the time needed for heating. Improved ovens have also reduced the amount of excess metal that needs to be removed from forged pieces, re sulting in less finishing work. There has been increasing mechanization in the “feed ing” of metal to the forging equipment. Correspond ingly, the operating speed of the forging equipment has also been improved. It is important that the proper temperature for the particular metal and the specific job be maintained throughout the successive stages of forg ing. The faster forging equipment has facilitated this and has thus reduced the problems associated with reheating. In recent years, some plants have adopted horizontal impact forging equipment, which provides a high degree of automation. The piece of metal being worked is moved along by an electrically controlled manipulator. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis The dies, which are attached to pneumatically powered rams, act on the metal pieces horizontally as they shape them. The pieces are automatically moved from impres sion to impression within the die as successive stages of forging are carried out. The automatic control of the dies and the movement of the workpieces results in re duced labor requirements. After forging is completed, a trimmer press may be used to remove the excess (flash) metal squeezed out by the impact pressure. Grinding and polishing operations may subsequently be performed on the forged piece of metal. Improvements in grinding and polishing equip ment have also contributed to productivity gains; both procedures were formerly done with hand-fed and hand held equipment. However, manufacturers have increas ingly been adopting equipment which permits these op erations to be performed on a continuous flow basis. Further reduction in the time required for grinding and polishing has been achieved through redesign of the product to reduce the surfaces which need to be worked on. Heat treating of the forged pieces is frequently performed for various reasons such as achieving a more uniform grain structure, relieving stresses, hardening the surface, and increasing the ease of machining. Improve ments in heat treating ovens, including better controls, have aided productivity. Increasing automation in heat treating has reduced the operators’ work in this process. The adoption of cold forming techniques is also aid ing productivity. In the cold forming process, dies are still used to give the workpieces their final shape. How ever, advancements in the feeding mechanisms permit preforming of the pieces to such an extent that they can enter the dies without the usual need for heating. This technique is becoming increasingly popular, especially in the production of mechanics’ hand tools. Some manufacturers have achieved additional efficien cies through the use of edge hardening equipment. For items whose strength requirements are primarily limited to edge strength, such as hedge shears, this can mean faster production because the hardening of the workpiece is concentrated only on critical edges versus the whole piece. Efficiencies have also occurred in the broaching opera tion, which is the metal cutting process that enlarges or changes the contour of the tool openings (for example, wrench openings). The increased use of manipula tors, which control point-to-point movement of workpieces, has reduced the work performed by operators. Computers have encouraged productivity growth in several ways. In addition to helping with administrative functions such as payroll and inventory, the computer has proven valuable for production planning. Its use en ables many of the activities involved in daily production operations to be scheduled more efficiently. Computers 13 M ONTHLY LABOR REVIEW October 1982 • Hand and Edge Tool Industry Productivity also aid in coordinating the setup of production lines and the scheduling of die changes and downtime. This contributes to better utilization of die shops and other related in-house functions. The outlook Productivity should benefit from continued mechani zation of production processes and gradual improve ments in equipment. Continued introduction of robots and the increasing adoption of cold forming techniques should be contributing factors, as will the expanded use of computer technology. Horizontal impact forging equipment may be a factor in future productivity increases as more plants adopt this technology, especially where long production runs are involved. The cost and setup time associated with this equipment, however, may hinder its adoption. The demand for industry output has benefited from growth in the do-it-yourself market and demographic factors suggest that this trend could continue. However, com petition from imports, as measured by the import pene tration ratio, has been increasing— as a percent of new supply they rose from 7.5 percent in 1975 to 11.5 per cent in 1979. □ FOOTNOTES ' The hand and edge tool industry is composed of establishments primarily engaged in the manufacture of files and other hand and edge tools for metalworking, woodworking, and general maintenance. The industry is designated as SIC 3423 in the Standard Industrial Classification Manual, 1972. Establishments primarily engaged in the manufacture of saws are classified in industry 3425 and power-driven hand tools in 3546. All average annual rates of change are based on the linear least squares trends of the logarithms of the index numbers. Extension of the indexes will appear in the annual BLS Bulletin, Pro ductivity Measures fo r Selected Industries. 2 See Kathleen Wiegner, “Quality Still Matters,” Forbes, Aug. 21, 1978, pp. 114-15. ' Residential Alterations and Repairs, Construction Reports C50 (Bu reau of the Census). “Stanley Works: Capitalizing on the homeowner do-it-yourself trend,” Business Week, Feb. 26, 1979, pp. 125-26. The import penetration ratio is calculated by dividing the value of shipments of imports by the value of new supply, where new supply is defined as the sum of the value of imports and domestic product ship ments. APPENDIX: Measurement techniques and limitations Indexes of output per employee hour measure chang es in the relation between the output of an industry and employee hours expended on that output. An index of output per employee hour is derived by dividing an in dex of output by an index of industry employee hours. The preferred output index for manufacturing indus tries would be obtained from data on quantities of the various goods produced by the industry, each weighted (multiplied) by the employee hours required to produce one unit of each good in some specified base period. Thus, those goods which require more labor time to produce are given more importance in the index. In the absence of adequate physical quantity data, the output index for this industry was constructed using a deflated value technique. The value of shipments of the various product classes were adjusted for price changes by appropriate Producer Price Indexes to de Digitized14for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis rive real output measures. These, in turn, were com bined with employee-hour weights to derive the overall output measure. The result is a final output index that is conceptually close to the preferred output measure. Employment and employee-hour indexes were derived from data published by the Bureau of the Census be cause BLS data were not available. Employees and em ployee hours are each considered homogeneous and additive, and thus do not reflect changes in the qualita tive aspects of labor, such as skill and experience. The indexes of output per employee hour do not measure any specific contributions, such as that of labor or capital. Rather, they reflect the joint effect of factors such as changes in technology, capital investment, ca pacity utilization, plant design and layout, skill and ef fort of the work force, managerial ability, and labormanagement relations. A Review Essay The productivity puzzle: numbers alone won’t solve it From vantage points in management, labor, academia, and government, contributors to four recent books grapple with the productivity slowdown, with little help from economic theory Paul S. A dler Over the last two decades, there has been a major de cline in the rate of growth in U.S. productivity. The lag in the ratio of output to input has also occurred in many other industrial countries, including Japan. Orthodox economic theory hypothesizes a basically technical link between trends in output and input, namely, the production function. This hypothesis has been put to a severe test, for the precise extent, the ori gins, and the significance of the productivity slowdown are yet to be analyzed with a clarity that would demon strate the usefulness of traditional economics in ana lyzing such problems. There is, in particular, a surprising contrast between the wealth of studies that attempt to quantify the decline and calculate its causes, and the poverty of material on the role played by such a lag in macroeconomic per formance. It should be remembered that, in general, at a company and an industry level, labor productivity and profitability are not well correlated, and that in capitalist economies decisions are based on the latter, not the for mer. Paul Samuelson’s neoclassical paradigm claims its Paul S. Adler, a research economist with the Employment Research Center of the French Ministry of Labor, has been a guest scholar at the Brookings Institution and the Bureau of Labor Statistics. He is currently a visiting assistant professor of economics at Barnard Col lege, Columbia University, N.Y. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis originality in the capacity to link the two factors, in a synthesis of micro- and macro-economics. But so far, this approach has not shed light on the most elementary part of the productivity puzzle: Is the productivity slow down basically a cause or an effect of current economic problems? Research on productivity thus progresses somewhat unevenly. Three foci of study have emerged: data analy sis, study of management practices, and research into labor relations and conditions. Productivity: Prospects fo r Growth, edited by Jerome Rosow, deals with all three subjects. The interdependence of the three themes makes this presentation most judicious. Three other re cent books have also addressed one or other of these matters. Before discussing the major issues, we will identify the overlapping concerns of the four volumes. Productivity: Prospects fo r Growth includes five contri butions to the task of data analysis. Solomon Fabricant of New York University and Dale Jorgenson of H ar vard University present the growth accounting data, Je rome Mark of the Bureau of Labor Statistics, the mea surement consideration, and Howard Samuel and Rudy Oswald of the AFL-CIO, their views on the role of for eign trade and labor unions. The reader seeking more detail on current data analy sis methods can consult Aggregate and Industry-Level 15 MONTHLY LABOR REVIEW October 1982 • The Productivity Puzzle Productivity Analysis, edited by Ali Dogramaci and Nabil R. Adam, both of Rutgers University; this is the second volume of the Studies in Productivity Analysis series. Two papers address methodology: that by Ephraim Sudit of Rutgers University and Nachum Fin ger of Ben Gurion University presents a general survey and that by Douglas Moon of Columbia University, the dynamic input/output model. The formidable problems posed by time-series analysis are discussed by Lawrence Cohen of Columbia University and Salin Neftci of Bos ton College. Tom Boucher of Cornell University assesses technical change; J. R. Norsworthy and Mi chael Harper of the Bureau of Labor Statistics consider capital formation, and Frank Gollop of Boston College and Mark Roberts of Pennsylvania State University an alyze imported intermediate inputs. The next theme, management, is examined in Produc tivity: Prospects fo r Growth by John Donnelly, who discusses the role of the chief executive, and by Alfred Neal, former president of the Committee for Economic Development, who analyzes the role of the tax system. Exploring technological change at the corporate level are Reginald Jones, chairman of General Electric, John Diebold, chairman of the Diebold Group, Thomas Donahue, secretary-treasurer of the AFL-CIO, and Rob ert Ranftl of Hughes Aircraft Corp. The problems of productivity management are also the theme of papers edited by Vernon M. Buehler and Y. Krishna Shetty, both of Utah State University, in Productivity Improvement: Case Studies o f Proven Prac tice. Represented are 11 companies and three unions. Contributors also include Murray Weidenbaum, former chairman of the Council of Economic Advisers, and Clement Preiwisch of the General Accounting Office. The last theme, dealing with labor, is discussed in Productivity: Prospects fo r Growth from four perspec tives. Rosow of the Work in America Institute surveys the problems associated with the various “human fac tors” and discusses their possible remedies. Writing on worker participation are Stephen Fuller, vice president of General Motors, Douglas Fraser, president of the United Auto Workers, and Wayne Horvitz, director of the Federal Mediation and Conciliation Service. These problems are given more theoretical treatment in Stephen Hill’s Competition and Control at Work: The New Industrial Sociology, the fruit of his teaching at the London School of Economics. The four books incorporate some of the most ad vanced thinking in this, somewhat fragmented, area of research. Our review will thus attempt to assess some of the strengths and weaknesses of the state of the art. The first two sections will deal with conceptual and analyti cal problems and will therefore consider the contribu tions of the Rosow volume and Dogramaci and Adam collection. The following two sections will cover the Digitized 16 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis management and labor aspects, as they are discussed in Buehler and Shetty, Hill, and the other chapters of Rosow. In a concluding section, we sketch some alter native lines of research. The conceptual problems of data analysis The literature on the productivity problem shows lit tle patience with the troublesome theoretical problems of economics. These books are no exception. Fabricant’s overview gives theory scant attention; M ark’s discussion of measurement problems includes an extensive survey of the reliability of our data, but from an exclusively pragmatic point of view. Sudit’s discussion of method ological issues is broad-ranging but makes no effort to draw any conclusions concerning the value of the em pirical work that is founded on fragile hypotheses. Most of his fellow contributors to the Dogramaci/Adam col lection, concentrating on empirical industry-level and time-series analysis, struggle with the practical difficul ties associated with these problems without the benefit of a viable theoretical framework. Not surprisingly, such studies are principally of interest to the profession al student of productivity. Two theoretical problems in particular would seem to merit discussion. Productivity analyses inspired by the neoclassical paradigm attempt to quantify the contribu tion of each factor of production to output growth. The productivity growth that cannot thus be explained, called the residual, has been attributed to technical change. Growth is thus decomposed into movements along a production function (representing a certain tech nology), and shifts o f the production function (indica tive of a change in technology). If this sounds plausible for small, marginal changes, Nelson1has already drawn attention to the absurdity of the attempt to extrapolate the procedure to major changes such as we have witnessed over the postwar period. The second question warranting additional research takes us further back, into the great “Capital Debate” between Cambridge (U.S.) and Cambridge (U.K.). The conclusion was that the neoclassical attempt to base a theory of distribution on the theory of production was fatally flawed: even under competitive equilibrium con ditions, the remuneration of capital is not determined by its marginal productivity, because the definition of a quantity of capital presupposes determination of the distributional variable. This conclusion vitiates much of the growth accounting exercise, because the calculation of a stock of plant and equipment— at first sight purely physical entities— involves a nontechnical factor like the rate of return. Multifactor productivity studies, however, continue to calculate a stock of capital (or a flow of capital services) by virtue, as C. E. Ferguson put it, of an “act of faith” : “The question that confronts us is not whether the [British] Cambridge Criticism is the- oretically valid. It is. Rather the question is an empiri cal or econometric one: is there sufficient substitutabili ty within the system to establish neoclassical results? . . . Until the econometricians have the answer for us, plac ing reliance upon neoclassical economic theory is a matter of faith.”2 It is somewhat disconcerting to find the current productivity research pursued as if the Cam bridge U.K. school had never existed. Some relief from these attacks on the very legitimacy of growth accounting models may be forthcoming from the sophistication of more recent econometric tech niques. Much of the capital debate concerned the circu larity of reasoning in the neoclassical theory, attacking its explanatory power, but perhaps not its descriptive power. To our knowledge, however, none of the parti sans of the growth accounting techniques has made this case. Most of the technical debates to date— for exam ple, those surrounding the replacement of Laspeyres and Paasche indexes by Divisia indexes— are by com parison of limited import. The basic problem posed by such theoretical interro gations concerns the usefulness of the neoclassical paradigm for dynamic analysis in conditions of realworld complexity. As Joan Robinson has written,3 there is something inherently wrongheaded in trying “to find out from the record of what actually happened, what growth of output would have been if the value of capital had grown as much as it did without any technical progress having taken place.” The value for long-term analysis of the distinction between shifts of and along a production function seems at best extremely limited. The concrete problems of a choice of productivity in dicators are thus posed against a backdrop of vast theo retical disputes; and the latter permeate the former. The usefulness of multifactor indexes, on the one hand, in attempting to define quantities of the different inputs, is limited by the need to assume that factors are remuner ated at their marginal product. If this assumption is of dubious legitimacy for capital, the case of labor is not simple either. Obviously, different qualities of labor have different productive potentials; but it is much less clear that relative pay reflects these differences. The use of simple labor productivity indexes, on the other hand, is theoretically uncontroversial. But their use does little to reduce the productivity puzzle to its purely quantitative dimension. The substitution of capi tal for labor must be somehow incorporated into the analysis. Relying on labor productivity, therefore, sup poses the development of a model of accumulation, which the neoclassicists thought they had provided. Beyond these properly economic disputes, there is also confusion over broader issues. Measures of output, including those of the Bureau of Labor Statistics, are often approximate, especially in the many industries with no clearly defined products or https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis quality range. In an extreme case, that of the computer equipment industry, the difficulty of the task of measur ing quality change has led to total capitulation, and the price deflator is conventionally set at 1, as if there had been no qualitative improvement at all since the birth of the computer industry. Some, not implausible, estimates of quality changes in this industry can be shown to boost output measures so much that the productivity lag for manufacturing disappears entirely.4 The rapid development of the service sector aggra vates this problem. It is remarkable that as we narrow our focus from GNP, to private business sector output, and further to manufacturing output, the productivity slowdown appears progressively less dramatic. This seems perhaps normal, when one contrasts automation trends in manufacturing with those of service industries like shoe-shining. But the image of a technically back ward service sector is belied by the example of comput erization in telecommunications, banking, and insur ance. Two hypotheses thus compete in explaining the dif ference between the roles of manufacturing and services in the productivity slowdown. The first is that we mismeasure and underestimate service output; pushed far enough, this hypothesis could lead to the argument that there has been no serious productivity lag. Against such skeptics, it can, however, be shown that in the manufacturing sector, too, and in particular in many in dustries where measurement problems are least impor tant, there seems to have been a significant productivity slowdown. The second hypothesis reverses the perspec tive, to emphasize the collapse of the service sector’s ap parent productivity. Could this reflect a real breakdown Books reviewed Jerome Rosow, ed., Productivity: Prospects for Growth. New York, Van Nostrand Reinhold, Work in Ameri ca Series, 1981, 340 pp. $19.00. Ali Dogramaci and Nabil R. Adam, eds., Aggregate and Industry-Level Productivity Analysis. (Volume 2 of Studies in Productivity Analysis.) Hingham, Mass., Martinus Nijhoff, 1981, 195 pp. $25.00 Vernon M. Buehler and Y. Krishna Shetty, eds., Pro ductivity Improvement: Case Studies of Proven Prac tice. New York, a m a c o m , American Management Associations, Inc., 1981, 273 pp. $19.95. Stephen Hill, Competition and Control at Work: The New Industrial Sociology. Cambridge, Mass., Massa chusetts Institute of Technology Press, 1981, 280 pp. $25.00 cloth, $9.95 paper. 17 M ONTHLY LABOR REVIEW October 1982 • The Productivity Puzzle in the efficiency with which this sector performs its me diating and informational functions? Unfortunately, lit tle research has been conducted on the industrial dynamics of these functions.5 Deeper conceptual problems are not absent here ei ther: how should we treat nonmarket goods? Pollution control expenses are commonly included in the cost side of production, but are difficult to include in the output side as, for example, clean air. Do market prices bear sufficient relation to utility to justify our reliance on them for evaluating economic performance? There is a venerable tradition of rejecting output (and therefore productivity) statistics as irrelevant to real welfare. The rub, of course, is that even if the data reflect the specifi cally market forms of welfare calculation, it is such cal culations which orient real-world decisions. As limited as these measures are, they therefore have a key role to play in analysis. The Rosow and Dogramaci/Adam volumes give these problems but scant attention. Looking for scapegoats Beyond the conceptual and measurement difficulties, there has nevertheless probably been a fall in labor pro ductivity growth rates. This deceleration is sufficiently important in a large enough range of indicators, both aggregate and industry level, to overcome most skepti cism. Do we have an explanation for it? In the aggregate data, the slowdown is particularly dramatic since 1973. In the total factor productivity framework, this shows up as a precipitous decline in the main factor contributing to growth, the residual. This fact alone should be sufficient to show that Edward F. Denison’s interpretation of the residual as primarily re flecting advances in knowledge cannot be sustained.6 Whatever slowdown one may imagine taking place in research and development, the accumulation of knowl edge can hardly be imagined to have braked so suddenly. A first hypothesis might be that companies today treat labor as a quasi-fixed factor, and that therefore the adjustment of employment to production is slower than it used to be. This has been verified statistically, and many of the contributors to the Buehler/Shetty volume claim that increased labor flexibility is the key to in creasing corporate profitability. While this may explain a certain (downside) volatility of productivity ratios over the shorter period, the question remains as to why the slowdown persists. Indeed, the U.S. debate has been characterized by a great resistance to the idea that the recent recessionary trends could be other than purely cyclical or exogenous ly generated. Jorgenson,7 in Productivity: Prospects for Growth and elsewhere, develops the exogeneity thesis, arguing for the importance of energy prices in Digitized for 18 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis explaining the slowdown. The data are far from show ing this; but, above all, one would want to ask: why have the major economies proved themselves to be so incapable of surmounting such a handicap? The vigor of the upturns in g n p growth since 1973 has slowed recog nition in this country that the long-term growth path has been shifted downward. Under the title “Free the Fortune 500,” Weidenbaum presents the now-classic case for assigning the role of chief culprit to government regulation. No statistics, and certainly not Denison’s, have been advanced to substantiate his claim. The text is a candidly ideological manifesto that gives the reader a glimpse into the mind set of the recently resigned head of the Council of Eco nomic Advisers. The most serious candidate for blame is capital for m ation— the object of a study by Norsworthy and Harper in Aggregate and Industry-Level Productivity Analysis. The proportion of GNP going to investment has been remarkably stable over the last decade, but as GNP growth has slowed, so has capital formation. Other data in this contribution indicate that the price of capi tal services sharply accelerated from 1973, almost reaching the rate of increase in hourly labor compensa tion. The combination of higher interest rates, massive increases in the labor force owing to the arrival of the baby-boom generation and to the “mobilization” of women, as well as more direct pressure on real wage levels, may have thus led to such a cheapening of labor relative to capital as to slow the substitution of the lat ter for the former.8 The principal difficulty with these explanations of the productivity slowdown is that the reduction in investment flows only marginally affects the “productivity” of the stock of capital. A further hypothesis is explored by Alfred Neal in Productivity: Prospects fo r Growth; he blames “excessive” taxation for insufficient investment. The argument is weakened by the ubiquity of the slowdown in countries with widely different taxation trends. Energy costs have also been incriminated, their rise rendering redundant a certain fraction of the capital stock because of energy/equip ment complementarities. Any or all of these factors may have played a role, but a key lesson from John Maynard Keynes seems to have been forgotten: the “animal spirits” of the investor will surmount many such obstacles if the weather fore casts for the business climate are good.9 In particular, that somewhat tired old culprit, deficiency in savings, cannot constitute a real brake in a modern economy in which investment is financed on a credit-based, for ward-contract system. If business prospects are good, low levels of retained corporate earnings will be supple mented by extra external finance, and a lack of deposits in the lending institutions will be overcome by moneycreating credit. The problem would thus appear to be systemic rather than localized. Any particular difficulty can be sur mounted, and, often, transformed into a stimulus. The search for the origin of, and the cure for, the productiv ity “problem” has therefore recently turned to manage ment and labor, the major actors in a socioeconomic system, the dynamism of which may be faltering. The role of management The link between productivity and management is difficult to establish because product change and mar keting flexibility are often more direct determinants of commercial survival and success than the technical effi ciency with which a firm produces a hypothetically sta ble product. Accordingly, management itself tracks profitability rather than the more abstract notion of productivity. The second part o f Productivity: Prospects fo r Growth discusses a number of management problems related to the productivity issue. The principal area of analysis is the dynamism of technological change in the firm. Diebold sketches the (well known and still) fascinating account of the Office of Tomorrow, with a refreshingly pragmatic touch as to the limits both of the current technology and above all of its impact on office-work productivity. This contribution is valuable in reminding us that the availability of new technologies does not guarantee their rapid implementation— the delays are often measured in decades. Furthermore, implementa tion does not guarantee improvement of the standard productivity indexes, for new technologies create new tasks. Other contributions include a disappointingly low-key union assessment of technological trends by Donahue, somewhat in contrast with the more thought-provoking piece by Oswald, AFL-CIO research director, on the gen eral productivity question. The contribution of John Donnelly, the chairman of Donnelly Mirrors, Inc., is useful in outlining one manager’s perception of the im portance of practical labor-management cooperation in the framework of a Scanlon Plan. This latter approach to labor, seeking to transform the presence of unions from a handicap into an advan tage for corporate competitiveness, is in sad contrast to the approaches outlined in the case study volume published by a m a c o m (a division of American Manage ment Associations). The reader cannot but be impressed by the presence of such im portant companies as Kaiser Aluminum and Chemicals, Hughes Aircraft, and Burger King, even if the papers themselves are disappointingly short and lacking in detail. The message is basically that productivity demands more Taylorism, more con trol, more incentive pay schemes, and a small dose of Japanese-style Quality Circles. The last are designed to capitalize on workers’ intimate knowledge of the pro https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis duction process. The Quality Circle view, in contrast to the “quality of worklife” philosophy to which Rosow and others allude, excludes any commitment to real co operation in which the gains of labor would not be pre mised on the prior increase of company profits. Some cracks do, nevertheless, appear in the manage ment orthodoxy. Nucor Corp. insists on the importance of job security and has implemented group bonus schemes that include foremen and maintenance crew. Crompton Co., Inc., has instituted a 36-hour, 3-day workweek paid 40 hours. Hughes Aircraft declares its commitment to designing “meaningful” jobs by enlarg ing the range of tasks. The union contributions by Cass Alvin of the A F L CIO echo somewhat alone in this landscape. The conser vatism of his interlocutors would indeed seem to consti tute a major handicap in putting the United States back onto the map of innovative entrepreneurship. Aber nathy, Clarke, Hayes, and K antrow10 have recently launched a major critique of this conservatism. They at tribute the decline in the relative strength of U.S. com panies to the short-term, bottom-line myopia of corporate decisionmaking. Overemphasis on quarterly and annual results, according to the Harvard authors, cripples American corporations’ capacity for long-term technological programming. Symptomatic of the disease is the U.S. managers’ tendency, perfectly explicit in the case studies, and above all in the “Free the Fortune 500” contribution, to interpret every constraint on their prerogatives as an intolerable shackle on individual cre ativity. Whence the paradox: in the United States, where Government intervention and unions are smaller and weaker than in most other developed countries, the blame attributed to Government and unions in causing the current crisis is greatest. The difficulty, of course, with this critique of manage ment, is that in less expert hands it can easily slide into the same “blame the victim” mode that constitutes one of management’s own shortcomings. Can one sustain the argument that the current economic woes of the United States are principally due to a particularly in competent group of managers? Is not their myopia the most rational programming strategy in a period of great uncertainty? Is it not the flip side of the flexibility of operations that European managers so envy? Is not long-term technological programming vastly easier for those in second place who are imitating the frontrunner?" Alternatively, one could perhaps hypothesize that the Cyclical characteristics of capitalist growth can be dampened in the shorter term but not eliminated. The problem is thus rephrased: in the current worldwide re cessionary climate the only way to limit the cost of the market system’s congenital myopia is by aligning shortand long-term prospects. Such a reconnection implies a 19 M ONTHLY LABOR REVIEW October 1982 • The Productivity Puzzle stabilization of macroeconomic conditions. Because markets are in themselves unable to provide such stabil ity, capitalist growth seems to necessitate its imposition by non-market forces, via the further institutionalization of social consensus and conflict-resolution mechanisms. The role of labor The frequency with which incentive pay schemes are mentioned by the contributors to the case studies is per haps not to be simply attributed to the blame-the-victim syndrome. Assuring the cooperation of labor is a major permanent task; poor labor relations can be very costly in terms of excess supervisory personnel, of under-per formance of workers, of underutilization of plant, and of lack of product quality and timeliness. If these costs are less important than those associated with a deficit of technical and organizational adaptation, they are by no means negligible. Stephen Hill’s book presents a valuable framework for the analysis of these problems. Written from an En glish perspective, but with a solid grasp of U.S. devel opments, its dual reference to Max Weber and to a context where class conflict is manifest could prove a tonic for a U.S. audience. Especially in the current peri od when labor leaders have rediscovered the pertinence of a “class war” rhetoric. U.S. industrial sociology has been dominated by a Durkheimian perspective which privileges the reproduc tion of a community of values. The absence of consen sus thus constitutes the horizon of much social thinking: conflict is ever present but always on the hori zon, beyond theoretical grasp. This approach contrasts with that of Weber, for whom the conflict of interests is the starting point of social analysis. The fundamental hypothesis of Hill’s work is that an tagonistic interests compete within the firm. This con flict is not just over income distribution, but also over power, and in particular allocative power on the shop floor (work rules, staffing patterns and levels, work in tensity, and so on). The fact that U.S. unions are seen as having de-emphasized allocative struggles in ex change for concessions in income distribution should not, in Hill’s view, be interpreted as implying that shopfloor conflicts can be relegated to the status of a prob lem of maintaining consensus within the unions. The basic separation of ownership or control and productive activity— as opposed to their unity in a cooperative sys tem — makes competition and conflict primary, if not permanent, features of the capitalist firm. Hill’s Weberianism is not the diluted version to which U.S. audiences are accustomed. Power within the capitalist firm is inexorably asymmetrical. The wage re lation is a power relation, not just a “contract,” because the worker, while free not to enter this or that particu lar employment contract, must enter some contract on Digitized for 20 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis pain of distressing unemployment. (Milton Friedman’s identification of Capitalism and Freedom rests on ob scuring the general constraint in order to vaunt the free dom of its particularity.) This leads to an interesting if somewhat fragmented discussion of Taylorism that contrasts favorably with what one often finds in the U.S. literature. Hill follows much of the recent research which characterizes Taylorism as an expression of this asymmetry in the la bor process: management control over the immediate la bor process is gained at the expense of craft-type worker autonomy. But he tempers this account by a discussion of the limits of Taylorism: its partial adop tion in management circles, the resistance of workers to its effects, and, most importantly, the fact that the pro duction process always necessitates some degree of co o p eratio n -ev en within the framework of conflict. The conflictuality of labor-management relations is, in this perspective, somewhat independent of the degree of institutionalization taken by the forms of its resolu tion. By contrast, U.S. discussion of quality of worklife programs seems hampered by the assumption that coop erative and adversarial relations can and should be two totally distinct modes of labor-management interaction. It is as if an overly consensual (and individualist) ideol ogy blocked recognition by management and by unions that plant-level conflict was healthy and that coopera tive moments within this conflictual relation were per fectly normal. Whence a fruitless polarization between the cynics and the naive. The import of such research for the productivity puzzle is considerable, for many discussants locate the root of productivity decline in shop-floor tensions. The value of Hill’s work is to remind such “radicals” — who appear at all points of the political spectrum— that growth in capitalist economies is not a zero-sum game. Workers’ gains are not simply capitalists’ losses, be cause in the longer run such gains are one of the most potent stimuli to technical change and hence to produc tivity growth. Whether worker resistance plays this role depends on the dynamism of the system. The dynamism of socioeconomic systems The productivity puzzle is a valuable indicator of the current state of economics, reflecting this discipline’s difficulties— heoretical, quantitative, historical, and so ciological. Richard Nelson has drawn the uncomplimen tary parallel with the drunk looking for his lost watch under the lamp post “because that’s where the light is.” But why is the economics profession tipsy? Part of the reason may be its excessive focus on formulating policy recommendations, an objective not always conducive to major theoretical research. The role played by this policy focus might, however, shift from debilitating to revivifying. The urgent need for vigorous policy remedies to current economic prob lems will not, we believe, be satisfied by a reliance on the automaticity of market adjustments. The demand for serious policy may thus, indirectly, become a stimu lus for the revival of those theoretical trends that have for too long been relegated to the margins of economic theory: the heterodoxies of institutionalist and “funda mentalist” Keynesian theories. The most fruitful areas of research may be at the inter section of Joseph Schumpeter and Nelson, in its proximity with that developed by certain French re searchers12along the lines suggested by Michel Aglietta.13 It would associate the analysis of macroeconomics to that of social institutions, going beyond the neoclassi cal, market-centered model by breaking with its implicit assumption that real developments, such as a productiv ity slowdown, can be accounted for by the juxtaposition of purely exogenous shocks and the spontaneous equili brating market mechanism. Market mechanisms need to be integrated into a his torical model that explains their (always limited) pertinence to any given epoch. Periods of economic his tory are thus distinguished according to their moneycreation regimes, wage-setting institutions, price de termination mechanisms, and international trade hierarchies. The coherence of these social forms with the dominant macroeconomic relations of productivity and income growth— “deepening” or “widening” modes of accumulation— assures a harmonious balance in the expansion of output and demand; their incoher ence generates a protracted, KondratiefF-like period of instability. Periods of coherence naturally exhaust their dyna mism. Tensions accumulate. The diffusion of finite sets of organizational and technological innovations reaches higher plateaus. Virtuous circles become vicious. No meta-auctioneer guarantees the timely replacement of failing system-stabilizers. In such a perspective, the downward shift in growth paths, of which the productivity deceleration is but a symptom, is attributable neither to a single cause nor the accidental conjunction of several causes. Longer downswings are part of our economic history, as the system exhausts and then recreates the social-structural conditions of accumulation. Economic history, the real history of cycles, short and long, of accumulation and crashes, is made in the interstices of “economics” as Academia currently imag ines it. At least, such might be the lesson of the produc tivity puzzle. □ FOOTNOTES 1Richard R. Nelson, “Research on productivity growth and productivity differences: dead ends and new departures,” Journal o f Economic Literature, September 1981, pp. 1029-64. 2C. E. Ferguson, The Neoclassical Theory o f Production and Distri bution (London and New York, Cambridge U.P., 1969). 'Joan Robinson, Contributions to Modern Economics (New York, Academic Press, 1978). 4 Unpublished paper by Michael J. McKee of the Council of Eco nomic Advisers staff. 5But see Robert S. Cohen, The Internationalization o f Capital and U.S. Cities (Ph.D. dissertation, New School for Social Research, 1979), and Thomas Stanback Jr. and Thierry Noyelle, Services/the New Economy (Montclair, Allanheld, Osmun, 1981). 6 Edward F. Denison, Accounting fo r Slower Growth (Washington, The Brookings Institution, 1979). 7 Dale W. Jorgenson, interview, Challenge, November-December 1980, pp. 16-25. Note, however, that the rate of capital/labor substi tution does not seem to have slowed in manufacturing. 8Gregory Schmid, “Productivity and Reindustrialization: A Dis senting View,” Challenge, January-February 1981, pp. 24—29. , Martin Baily, “Productivity and the Services of Capital and https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Labor” (Brookings Papers on Economic Activity, 1, 1981) discusses this hypothesis in relation to Tobin’s q ratio between market valuation and replacement costs of capital. The practical import of the Cam bridge U.K. position may lie in the modeling of the tensions generat ed by the real-world gap between the competing financial estimates of capital stocks approximated in q's numerator and denominator. 10William J. Abernathy, Kim B. Clark, and Alan M. Kantrow, “The New Industrial Competition,” H arvard Business Review, September-October 1981, pp. 68-81; and William J. Abernathy and Robert H. Hayes, “Managing Our Way to Economic Decline,” H arvard Busi ness Review, July-August 1980, pp. 67-77. " Robert Z. Lawrence, Phase 1 Report: International Trade, to the National Science Foundation. Essay number two: Trade performance patterns, unpublished paper, (Washington, The Brookings Institution, April 1982). 12 See, in particular, Robert Boyer and Pascal Petit, “Employment and Productivity in the EEC,” Cambridge Journal o f Economics, Vol. 5 No. 1, March 1981, pp. 47-58. Also see Robert Boyer, “Wage For mation in Historical Perspective: the French Experience,” Cambridge Journal o f Economics, Vol. 3, No. 2, June 1979, pp. 99-118. 13 Michel Aglietta, A Theory o f Capitalist Regulation: the U.S. Expe rience {London, N.L.B., 1979). 21 How Sweden combats unemployment among young and older workers Joblessness among the 16- to 24-year-olds and those 45 years and over in Sweden, although low by American standards, worsened during the recessions of the 1970's; government responded with innovative policies to increase job prospects for these groups H elen G in s b u r g The Swedish Government Bill of 1966, which forms the basis of labor market guidelines, states that its aim is to “achieve and maintain full, productive and freely chosen employment.” Although unemployment only averaged about 2 percent in the 1970’s, that goal has not yet been attained for all young people, women, immigrants, older workers, and the disabled. The proportion who are unemployed in these groups is small by American standards, but not by Swedish standards. One of the major challenges of Swedish society, with its strong commitment to full employment, is to provide jobs for these workers. This article discusses some of the policies Sweden uses to contend with unemployment among its young (16 to 24 years) and older (45 years and over) workers. Causes of youth unemployment As recently as the mid-1960’s, jobs were plentiful for most Swedish youngsters, regardless of whether they had only completed the 9-year comprehensive school (which is compulsory for 7- to 16-year-olds), upper secHelen Ginsburg is Associate Professor of Economics, Brooklyn Col lege, City University of New York. This article is excerpted by per mission of the publisher from her forthcoming book, Full Employment and Public Policy: The United States and Sweden (Lexington, Mass., Lexington Books, D.C. Heath and Co., copyright 1982, D.C. Heath and Co.). 22 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis ondary school (which follows), or had graduated from a university.1 In the 1970’s, job prospects became less promising. Sweden’s first recession of the 1970’s, starting in 1971, drove the annual unemployment rate up to 2.5 percent and slightly higher for several consecutive years. Youth were hard hit. Since then, unemployment rates of 7 and 8 percent have been common for 16- to 19-year-olds (reaching 9 percent in 1981), as have rates of 3 to 5 per cent for 20- to 24-year-olds. (See table 1.) Myriad fac tors affected the rise of youth employment. For exam ple, apprenticeships practically disappeared and most companies that once provided on-the-job training for youngsters no longer did so because many already re ceived training in the secondary schools. In the 1970’s, manufacturing employment stagnated as a result of pro ductivity gains that reduced labor requirements, reces sions, structural problems that beset important export industries, and the tendency of Swedish transnational corporations to locate more manufacturing jobs abroad. Thus, many blue-collar jobs that might have been avail able to youngsters disappeared. Gone, too, were other jobs— such as delivering packages— that once gave some employment in small businesses. Most job cre ation was in the public sector, but some fast growing areas— for example, hospitals— were often out of bounds for persons under 18 years because they cannot work at night, drive vehicles, or do other unsuitable work. And in some cases, housewives, who entered the labor force in large numbers, were hired in preference to the young. In slack labor markets, lack of experience became a more im portant barrier to employment for young work ers, and employers often claimed that wages for youths were too high.2Unlike the United States, Sweden has no minimum wage law, but the negotiated contracts that set most wages allow youths to earn less than adults. Partly as a result of the wage solidarity principle of the Swedish Trade Union Confederation ( l o ), to which most blue-collar workers belong, the youth to adult wage differential narrowed in the 1970’s. (The aim of this policy is to reduce wage differentials in accordance with the rule of equal pay for equal work, regardless of the profitability of the firm.) However, the narrowing of the youth to adult differential has been occurring for three decades and some of it reflects the higher average age of young workers resulting from longer schooling. To the extent that this is a factor, subsidies that reduce the cost to the employer of hiring the young have been used in preference to lowering the differential. Swedish unions present no barriers to employment of the young — anyone who is hired is accepted as a member. Some employers contend that employment security laws caused the youth unemployment problem. Howev er, youth unemployment worsened before the advent of these laws, although employers may now be more reluc tant to hire any workers but those perceived as “prime.” Interestingly, the law permits hiring for a pro bationary period if sanctioned by a collective bargaining contract, which usually is the case. Also, many firms had “no hiring” policies in effect at times during the 1970’s, especially in the middle of the decade.3 These policies hurt new labor market entrants. And, with many policies aimed at maintaining employment, recov ery from a recession often meant that some additional demand for labor could be met without additional hir ing. In the early 1970’s, about 70 percent of Swedish com prehensive school graduates went directly to upper secondary school, and that figure was about 85 percent by the end of the decade.4 Secondary schools in Sweden are more specialized and more vocationally-oriented than those in the United States. There are more than 20 lines or courses of study that last from 2 to 4 years. Lines are practical or theoretical (academic) and designed to prepare a student for further education, al though some higher education is now also open to those who study practical lines.5Youngsters from lower socio economic backgrounds are more likely to either take shorter, more practical courses and to drop out along the way, or not to enter secondary school at all. Hence, youth unemployment has a class as well as an age di https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis mension. Changes in higher education during the 1970’s worsened the relative position of the youngest and least educated workers by increasing the supply of better ed ucated young workers. Unemployment among universi ty graduates led to a substantial decline in enrollment in higher education, which added to the competition in the job market. Some college graduates had to take lower level jobs that they would not have accepted in previous years, including jobs that once had gone to secondary school graduates. These better educated young people were often preferred by employers and this caused a chain reaction that reverberated down the line and ultimately affected even the comprehensive school graduate.6 Similar competition results from an other factor. University applicants with work experience are now given extra credit, making it easier for them to gain entrance. Hence, more students work for a few years before going on to higher education. Policies to increase job prospects Policies to combat youth unemployment are wide ranging and include those targeted at youth as well as those targeted at specific kinds of unemployment which disportionately affect young people. General economic policies, needless to say, are particularly important be cause recessions inevitably hit the young harder than adults. Role o f schools. Within the school system, there are ef forts to inform students about the world of work. For example, students visit a variety of work sites in their last years of comprehensive school. In addition, there are vocational guidance officers in all schools, and the Table 1. National and youth unemployment rates in Sweden, 1963-81 Year All ages 16- to 19-year-olds 20- to 24-year-olds Total Men Women Total Men Women .................. .................. .................. .................. .................. .................. .................. 1.7 1.6 1.2 1.6 2.1 2.2 1.9 3.8 4.4 2.9 3.7 5.2 5.7 4.6 2.9 3.7 1.9 2.7 4.7 5.0 3.8 4.7 5.1 5.1 4.8 5.8 6.5 5.4 2.2 2.0 1.9 2.2 3.2 3.0 2.8 2.1 2.1 1.2 2.0 3.0 3.0 2.6 2.3 1.8 2.9 2.3 3.5 3.0 3.0 1970 .................. 1 9 7 1 .................. 1972 .................. 1973 .................. 1974 .................. 1975 .................. 1.5 2.5 2.7 2.5 2.0 1.6 4.3 7.7 8.2 6.8 6.6 5.5 3.4 7.1 7.8 5.8 5.2 4.2 4.8 8.4 8.7 8.0 8.1 7.1 2.2 3.7 4.5 4.4 3.2 2.8 2.5 3.7 4.2 4.2 2.7 2.1 2.4 3.8 4.9 4.7 3.8 3.5 1976 .................. 1977 .................. 1978 .................. 1979 .................. 19801 ............... 1981 .................. 1.6 1.8 2.2 2.1 2.0 2.5 5.5 6.7 7.9 7.4 7.6 9.4 4.1 5.4 7.1 7.0 6.5 8.2 7.0 8.1 8.7 7.9 8.8 10.5 2.7 3.2 4.3 3.7 3.7 4.7 2.2 2.9 4.3 3.6 3.5 4.8 3.4 3.5 4.3 3.8 3.9 4.6 1963 1964 1965 1966 1967 1968 1969 1Because of a conflict in the labor market, data exclude second quarter. Data are based on Sweden’s Central Bureau of Statistics Labor Force Surveys. The unemployment rate is the percentage of the labor force that is unemployed. N ote : 23 M ONTHLY LABOR REVIEW October 1982 • Sweden Combats Unemployment Labor Market Board (a tripartite board which carries out labor market policies) provides personnel from its Public Employment Service to talk to secondary school students and at parents’ meetings. Also, as part of its broad educational effort, the board prepares printed material and radio and television programs aimed at students. There is excellent cooperation between the local La bor Market Boards and the Boards of Education. They work together to develop special courses in the adult municipal school system, and in folk high schools (a type of boarding school with no official syllabus or compulsory subject matter and run by local govern ments, churches, trade unions, temperance societies, and other nonprofit organizations). Labor Market Boards and Boards of Education also cooperate to develop courses in the regular school system and in the more than 50 government-sponsored labor market training centers located throughout Sweden. Planning councils. Since 1977, there have been planning councils for youth in all municipalities. These are head ed by local school authorities and include representa tives of other municipal agencies, the Employment Service, labor, and management. Under this arrange ment, schools are responsible for maintaining contact for 2 years with all students who leave compulsory school without continuing their education. Until these youths are 18 years of age, they must be guided and ad vised about jobs or other educational opportunities that may arise, such as special courses or the availability of additional openings in particular lines in the regular school system. The aim is to prevent out-of-work 16and 17-year-olds from drifting aimlessly on their own.7 Occupational stereotyping. Breaking down the stereo typing of jobs by sex is considered very im portant in the fight against youth unemployment. Young women already in the labor market are encouraged to consider nontraditional jobs and greater efforts are being made within the school system, among employers, within the family, and in the media to stop the stereotyping of oc cupations.8 Monetary support. Cash assistance for those who have never worked or are otherwise ineligible for regular un employment benefits was introduced in the 1970’s with the young and women in mind. Persons who have fin ished secondary school (or the equivalent) are eligible for these benefits, which pay less than regular unem ployment insurance, if they have unsuccessfully sought work for 3 months through the Employment Service. Those who have not completed secondary school and who are at least 16 years old must have worked for at least 5 months. Slightly more than half of all recipients https://fraser.stlouisfed.org 24 Federal Reserve Bank of St. Louis of cash assistance at the end of the 1970’s were under 25 years, representing only 30 percent of the unem ployed in that age group.9 However, some may have been receiving regular unemployment benefits. Sweden does not consider unemployment insurance a solution to joblessness among the young; it views such benefits as temporary income until something more substantive can be arranged— a job or training for a job. Placement efforts. The Employment Service (at which almost all jobs must be listed) helps in the job search and often intensified placement efforts are made for youths. However, if employers demand an experienced worker or a highly skilled worker, there is little the ser vice can do. Telephone follow-ups and even personal visits to job sites by placement officers have occasional ly proven helpful in placing young people in jobs. Relief work. Until the 1970’s, there were few young peo ple in labor market training or “relief work” (compara ble to Public Service Employment jobs in the United States). With few exceptions, training was reserved for persons 20 years and over. The major thrust of relief work was to help adults in the work force adapt to changing demands for labor. With rising youth unem ployment, the proportion of trainees under 25 years rose from 30 percent in 1969 to 38 percent in 1979.10In the 1970’s, the age limit for relief work was relaxed and about 10 percent of the training slots were taken by teenagers.11 Youngsters uncertain about their occupa tional choice were encouraged to try several types of jobs before deciding on further training or more formal education. Programs were developed for those with spe cial problems who were turned off by ordinary school ing: groups of about eight young people were given alternating periods of general education and work— 2 weeks of education followed by 6 to 8 weeks of relief work, repeated with different jobs. The biggest expansion was in relief jobs at regular wages for the young. Between 1970 and 1979, the pro portion of persons under age 25 in relief work rose from 4 percent to 68 percent. The expansion was particularly important for young women — 83 percent of women, but only 57 percent of men in relief work in 1979 were that young.12 In the public sector, office work, mainte nance and repair work, environmental conservation, and care of children and the elderly were popular, to cite some examples. Private sector employees who hired young people referred by the Employment Service were also able to provide relief work, and received a 75-per cent subsidy if these jobs were in addition to their regu lar recruitment and included some useful training. The hope that employers would offer regular jobs after the 6-month maximum for relief work often did not materi alize. Sometimes a succession of relief workers were taken on for 6 months, and training was sometimes lacking or cursory. In the case of 16- and 17-year-olds, the government feared that labor market training and relief work would compete with regular schooling and might even induce students to quit school for short-term jobs. Secondary school students in Sweden receive a stipend which, in 1979, was 208 kronor a month (a krona was equivalent to 22 cents in U.S. currencies in 1979), while relief jobs paid from 3,000 to 4,000 kronor a month. Did this high pay for students lure them away from school and into the temporary jobs? That, along with questions about the reliability of some of the training were major reasons for the policy changes toward 16and 17-year-olds approved by Parliament in June 1980. The new approach is less costly and possibly that was also a consideration of the government. Both relief work and labor market training were considered inap propriate for youths under 18 years. Now, 16- and 17-year-olds are not eligible for these programs. In stead, they are encouraged to return to secondary school. If they do not wish to do that, they are offered additional vocational education and training within in dustry or some flexible “sandwich course” arrangement of education and practical work experience, with the re sponsibility shifted from the Labor Market Board to the educational authorities. The stipend paid is the same as for other secondary school students. The Social Demo crats (not in power at the time) opposed ending relief work, contending that to do so would retreat from the Parliament’s goal of a “youth guarantee” to insure ei ther training or employment for all out-of-school youth. 13The success of the new program will surely depend on the adequacy of the training and the ability to attract back into the program students who had become alien ated from the educational establishment. Not enough time has elapsed to know the results, but early reports are positive. However, the ability to absorb the young into the labor market in the 1980’s will also depend on the state of the economy. Special protection for older workers For both men and women in Sweden, unemployment declines steadily with age until it reaches a trough of about 1 percent among 45- to 54-year-olds and then rises to about 2 percent among 55- to 65-year-olds. (See table 2.) Beyond age 65, there appears to be no unem ployment, but labor force participation is very low, 14 percent for men and 4 percent for women (1979). Many older workers who lose their jobs slip into retirement, as the pensionable age was lowered to 65 during the 1970’s. Although older workers are less likely to lose their jobs, they are out of work longer than those who are younger. This pattern is the same as that in the United States. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Table 2. 1979-81 Unemployment rates in Sweden, by age and sex, Men Total Age 16-74 years .. 16 to 19 . . . 20 to 24 . . . 25 to 34 . . . 35 to 44 . . . 45 to 54 . . . 55 to 64 . . . 65 to 74 . . . Women 1979 1980 1981 1979 1980 1981 1979 1980 1981 2.1 7.4 3.7 1.9 1.2 1.0 2.0 .0 2.0 7.6 3.7 1.8 1.1 1.0 1.6 .0 2.5 9.4 4.7 2.3 1.4 1.3 2.0 .0 1.9 7.0 3.6 1.8 .9 .9 1.8 .0 1.7 6.5 3.5 1.5 .9 .9 1.6 .0 2.4 8.2 4.8 2.2 1.3 1.4 2.2 .0 2.3 7.9 3.8 2.1 1.5 1.1 2.2 .0 2.3 8.8 3.9 2.2 1.4 1.1 1.6 .0 2.6 10.5 4.6 2.5 2.5 1.3 1.8 .0 N ote : These data are based on Sweden’s Central Bureau of Statistics, Labor Force Sample Surveys. The unemployement rate is the percentage of the labor force that is unem ployed. The situation of older workers started to deteriorate in the late 1960’s and early 1970’s, partly because of the demand for higher productivity, the LO contends.14 During that time, whenever there was a plant closing or cutback in production, most of those who lost their jobs found others. But, even in nonrecession years, a re sidual group was left without work, usually older work ers and the handicapped. The recession of the early 1970’s made their plight worse. Many of the laws that protect these workers came after that period, partly in response to these developments in the labor market. Policies towards older workers fall into two main cate gories: those that seek to maintain employment and those that seek to maintain income when there is no work. (Policies for disabled workers such as subsidized employment and workplace and job redesign also apply to many older workers. These are not discussed in this article.) Keeping older workers at work Much of the sweeping labor legislation of the 1970’s aimed at increasing the security of all workers. But the vulnerable status of older workers and the handicapped was recognized and they were given special protection. The Security of Employment Act requires prior notice of dismissal and also requires the time of notice to vary with age, reaching a maximum of 6 months for employ ees older than 45 years.15 Seniority determines the order of dismissal and that tends to protect older workers. The computation of the length of service for those over 45 years is also governed by more generous rules. And, the Security of Employment Act states that there must be reasonable grounds for dismissal. Illness and reduced work capacity are not generally considered sufficient grounds, unless an employee is “no longer capable of doing work of any significance.” In the case of illness, the workers are given disability pensions; if they are un able to carry a full work load, the employer must find less demanding work for them. Thus, there is great job security for older (and disabled) workers whose capaci ty to do certain work has diminished or who cannot 25 MONTHLY LABOR REVIEW October 1982 • Sweden Combats Unemployment perform their old jobs but can do other types of work. The Promotion of Employment Act helps both older and handicapped workers by requiring that the County Labor Market Board be notified before any layoff or plant closing. The employer must, if requested, provide information about the number of employees above a certain age or with diminished work capacity, so that special plans can be made for their reemployment, al though these employees are usually retained unless the plant actually shuts down. That act also gives the County Board the day-to-day responsibility of consult ing with employers— even when no dismissals are in volved— in order to improve the situation of elderly or handicapped workers already within firms and to pro mote their recruitment.16 Thus, the primary thrust of policies toward older workers is to prevent their unem ployment by maintaining their existing jobs. Labor market training is not extensively used by the older worker. During the 1979-80 fiscal year, for exam ple, about 15 percent of the unemployed were over 55 years old, but only 2 percent of those in labor market training (excluding inplant training) were in that age group.17 In most cases, the problem confronting older workers is not lack of skill, but lack of an employer who will hire them. Relocation is not used much either, because older workers have so many ties to a locality and relatively few working years left. Some older workers are in relief work. Those 45 years and older held about 45 percent of all relief jobs in 1975. But, the large expansion of relief work in the late 1970’s was aimed at persons under age 25; as a result, only 13 percent of relief workers were age 45 or older at the beginning of 1979.18 Income support Despite the protection given to older employed work ers, unemployment does happen, particularly when plants close. And then, income support plays an impor tant role. Regular unemployment benefits are usually payable for up to 60 weeks, but for persons age 56 to 64, benefits are payable for 90 weeks, if necessary. The Cash Labor Market Assistance, available to those who have exhausted benefits, also varies with age, rising from 30 weeks for persons under age 55, to 60 weeks for those age 55 to 59; for those age 60 and over, and for some structurally unemployed persons, benefits can be paid until age 65, when the normal retirement pen sion begins. However, unemployed workers over age 60 often can qualify for a disability pension. The medical test is more lenient for older workers than for younger persons. If a person is considered permanently unemployed, there is no medical test at all, if he or she has exhausted regular benefits or has received cash labor market support for 90 weeks. Liberalization in granting disability pensions Digitized 26 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis resulted from concern of the blue-collar workers’ union for older workers who, at the end of the 1960’s, began to encounter increasing difficulties in the labor market. Statutory amendments were passed in the early 1970’s to change the rules that govern eligibility for disability pensions. It is estimated that a worker earning the aver age wage receives about 88 percent of prior after-tax in come from a government disability pension and, for most workers, there is also a union-negotiated disability pension.19 So, older workers who leave the labor market in this way maintain their living standards. While there is much talk in the United States about increasing the age of eligibility for full social security re tirement benefits from 65 to 68, Sweden has been going in the opposite direction. In 1976, the pensionable age for full benefits was lowered from 67 to 65, and reduced benefits can be received at age 60. Unlike an American worker, a jobless Swedish worker is not forced to take early retirement with its permanently reduced benefits, because there are no alternative sources of income. The disability pension can maintain income until age 65, when the old-age pension would start. The most interesting option for an employed worker who wishes to gradually reduce working prior to full re tirement is the partial pension system that was intro duced in 1976. Partial pensions are geared to part-time work. The rule is that working hours must be reduced by at least 5 hours a week and, after the reduction, must still be at least 17 hours weekly. The worker must also have been employed for at least 10 years after the age of 45. (Because of these rules, the partial pension has been used disproportionately by men.) The partial pension pays 50 percent of the loss of earnings that re sult from the reduction in hours. However, because of Sweden’s high marginal tax rates, the actual disposable income from the combined partial pension and parttime earnings is substantial. Unlike early retirement benefits, a partial pension does not result in a smaller pension at age 65. At age 65 a worker can receive a full old-age pension without any retirement test. It is also possible to postpone collecting all or part of the old-age pension. If that is done, the pension will be larger when payments finally start. The partial pension plan is extremely popular. It pro vides a bridge between work and full-time retirement. Many people who retired faced a shock— an abrupt change in their way of life after a lifetime of work. They missed their friends and social contacts at work. Doc tors and psychologists supported unions in their desire to enable a more gradual transition into retirement. The main argument against disability pensions for the older unemployed worker in Sweden is not based on econom ics, but is based on the feeling that such pensions lead to social isolation and a self-identification as disabled.20 The partial pension avoids these problems and also is available to workers not threatened by unemployment. Partial pensions also enable some workers who might not be able to function on a full-time basis to avoid dis ability pensions. The partial pension increases the indi vidual’s freedom of choice about the age and extent of retirement. It does not, however, resolve the problem of those older workers whose jobs are eliminated by a plant closing. One cannot work part time at a nonexistent job. Nor does it resolve the problems of older jobless workers who still have not reached the age of 60. FOOTNOTES This research, part of a larger study of Swedish labor market policies for full employment, was supported, in part, by a Swedish Bicentennial Fund Travel/Study Grant. The author is grateful to Marna Feldt of the Swedish Information Service in New York for her many years of help and to Charlotte Ganslandt of the Swedish Institute in Stockholm for arranging numerous interviews. Special thanks are due to the following persons for providing informa tion about youth and older workers. In Stockholm: Göran Borg, then with the Swedish Trade Union Confederation — LO (now with the Swedish Metalworkers Union); Lars Ettarp, Ministry of Labor; Ingrid Jonshagen, National Labor Market Board (AMS); Gunnar Lindström, Swedish Employers’ Association (SAF): Sten Markusson, Swedish Confederation of Professional Association (SACO/SR); Marianne Pettersson, The Center for Working Life; Bertil Rehnberg, Director General, National Labor Market Board; and Anders Reuterswärd, Ministry of Labor. In Malmö: Björn Pettersson, Director, and Ronny Nilsson, Planning Department, Malmöhus County Labor Market Board; Carl-Axel Johansson, Vocational Guidance Coordinator, Pub lic Employment Service; Sylvia Hyrenium, Immigration Officer, Mal möhus County; and all the members of the “Youth Guarantee” Pro gram. In Lund: Eskil Wadensjö, then with Lund University (now with the Swedish Institute for Social Research, Stockholm). In Östersund: Gert Korths-Aspergren, Director, and Kjell Risberg, Jämtland County Labor Market Board. In Sundsvall: Ake Dahlberg, Chairperson, Employment Committee, Commune of Sundsvall and Curt Landen, Director, Public Employment Service. The author also wishes to thank the following persons for helpful comments on an earlier version of this article: Marianne Pettersson, the Center for Working Life; Anne Marie Qvarfort, Swedish Ministry of Labor; Berit Rollen, National Labor Market Board of Sweden; Eskil Wadensjö, Swedish Institute for Social Research; and Fredrik Winter, National Labor Market Board of Sweden. Thanks also to Sune Ahlen of the Swedish Embassy for his helpfulness. 1Eva-Lena Ahlqvist, “Youth Unemployment in Sweden,” Current Sweden, No. 216, April 1979, p. 3. 2This paragraph draws heavily from Gösta Rehn and K. Helveg Peterson, Education and Youth Em ploym ent in Sweden and Denmark, a Study Prepared for the Carnegie Council on Higher Education (Car negie Council on Policy Studies in Higher Education, 1980), pp. 7577. This comprehensive study of Swedish youth deals with all aspects of behavior, attitudes, education, employment, and unemployment. 3 Rehn, p. 74. 4 “The Integrated Upper Secondary School in Sweden” (Stockholm, The National Board of Education, 1976), p. 1, and “Primary and Sec ondary Education in Sweden,” Fact Sheets on Sweden (Stockholm, the Swedish Institute, 1981), p. 4. A c kno w ledg m ents: https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 5Ibid., pp. 3-4. 6 Ahlqvist, p. 3. 7See, for instance, Unemployment Among Young People in Sweden — Measures and Experience (Solna, Sweden, National Labor Market Board, 1979), p. 3. 8Sweden, National Committee on Equality Between Men and Women, Step by Step: National Plan o f Action fo r Equality, SOU 1979-56 (Stockholm, Liber Forlag, 1979), ch. 2. 4Ahlqvist, p. 7. 10 Rehn, p. 92. " Ibid. Derived from data on p. 91. 12Sweden, National Central Bureau of Statistics, Arbetsmarknadsstatistisk a rsbok 1979-1980 (Stockholm, Liber Forlag, 1980), table 2.14.6, p. 179. 13 Rehn, p. 90. 14 Swedish Trade Union Confederation-LO, Report on Labor M arket Policy (Stockholm, Swedish Trade Union Confederation-LO, 1975), pp. 15-17. See also, the Swedish Government’s Commission on LongTerm Employment Policy, Em ploym ent fo r Handicapped Persons: A Sum m ary o f the Commission's Report, January 1978 and o f Five R e search Projects (Stockholm, Ministry of Labor, 1978), p. 3. 15For the detailed contents of this act see, Ministry of Labor, Swed ish Laws on Security o f Employment, Status o f Shop Stewards, Litigation in Labour Disputes (Stockholm, Ministry of Labor, 1977), pp. 1-2 and 6-20. 16Ibid., pp. 2-3 and 21-24. 17 Derived from Central Bureau of Statistics, Labor Force Sample Survey, unpublished data; and Swedish Em ploym ent Policy, 1979/80, Annual Report, Reprint (Solna, Sweden, The National Labor Market Board, 1979), p. 16. 18Swedish Em ploym ent Policy 1978/79, Annual Report, Reprint (Sol na, The National Labor Market Board, 1979). Derived from data on p. 23. ” Eskil Wadensjo, “Disability Policy in Sweden: The Swedish Con tribution to the Cross National Disability Study” (Stockholm, Swed ish Institute for Social Research, March 1981), Part 4, table 4.7, p. 22. This study will be part of Victor Halberstadt and Robert Haveman, eds., The Economics o f Disability: A Cross National Perspec tive (tentative title), forthcoming. Wadensjo estimates that a worker earning half the average earnings receives 117 percent of prior after tax income and one earning twice the average receives 66 percent. 20 Ibid., part 5, p. 3. 27 The A natom y of Price Change Reconciling the CPI and the PCE Deflator: 2nd quarter 1982 Table 2. "Reconciliation” of the CPI-U and the Personal Consumption Expenditure price measures: cumulative percent change from 1972 to the dates shown 1981' Difference Julie A. Bun n This article presents the fifth reconciliation of the Federal Government’s two major inflation measures— the Consumer Price Index (cpi), published by the Bu reau of Labor Statistics, and the Implicit Price Deflator for Personal Consumption Expenditures (pce Deflator), produced by the Bureau of Economic Analysis. The first reconciliation, which established the technical basis for the analysis, appeared in the September 1981 Review and showed that the divergence between the two price measures could be reconciled in terms of three factors — differences in the measurement of housing costs, dif ferences in “weighting” , and the effects of “all other” factors.1 Table 1. "Reconciliation” of annual and quarterly percent changes in the CPI-U and the Personal Consumption Ex penditure price measures, 1980 to second quarter 1982 Difference 1980 1981 Jack E. T riplett and 198112 19801 19811 I II III II 1982 III IV I II CPI-U (1972 = 100)2 ........... PCE Deflator (1972 = 100)3 . (Current-Weight)............... 197.0 179.2 Total difference4 (CPI-U minus PCE Deflator).................... 17.8 22.9 21.1 21.7 24.0 24.8 24.1 24.9 Housing treatment5 .. Weighting effect6 . . . “ All other” effect7 . . . 11.7 5.6 0.5 14.5 7.6 0.8 13.3 7.4 0.4 13.7 7.6 0.4 15.4 7.5 1.1 15.5 7.7 1.6 15.3 7.7 1.1 16.0 7.7 1.2 217.4 210.3 214.3 220.4 224.6 226.3 228.9 194.5 189.2 192.6 196.4 199.8 202.2 204.0 10wing to changes in seasonal adjustment factors and to the July 1982 revision of data produced by the Bureau of Economic Analysis, U.S. Department of Commerce, annual and quarterly figures may differ slightly from those which appeared in table 2, p. 38, July 1982, Monthly Labor Review (MLR). 2Annual data for the CPI-U are annual averages, 1972=100. The quarterly data for 1981 and 1982 were computed by the Office of Research and Evaluation, employing seasonally adjusted monthly data provided by the Office of Prices and Living Conditions (BLS). 3 Data for the Implicit PCE Deflator, or “ PCE: Current-Weight” index, were provided by the Bureau of Economic Analysis, U.S. Department of Commerce. The data incorporate revi sions released in August 1982. 4 CPI-U minus PCE Deflator equals the sum of "housing treatment” , “ weighting” , and “ all other” effects. 5 CPI-U minus CPI-X1. See September 1981 MLR, p. 5, for fuller explanation. Data source for the CPI-X1 is the same as footnote 2. 6 “ PCE: 1972-Weight” minus ' PCE: Current-Weight” . See September 1981 MLR, p. 6, for fuller explanation. Data source for the “ PCE: 1972-Weight” is same as footnote 3. 7 CPI-X1 minus “ PCE: 1972-Weight” . See September 1981 MLR, p. 6, for fuller explana tion. 1982 IV I II CPI-U3 ................................. PCE: Chain-Weight4 ........... 13.5 10.7 10.4 9.1 11.0 10.3 7.8 7.4 11.8 8.0 7.7 7.2 3.2 5.2 4.6 3.7 Total difference5 .................. (CPI-U minus PCE: ChainWeight) Housing treatment6 ......... Weighting effect7 ............. “ All other” effect8 ........... 2.8 1.3 0.7 0.4 3.8 0.5 -2.0 0.9 2.3 0.5 0.0 0.9 0.2 0.2 0.4 0.6 -0.3 0.5 0.3 -0.4 2.7 -0.4 1.5 -0.5 -0.1 1.1 -1.3 -0.4 -0.3 1.6 -0.4 -0.3 10wing to the July 1982 revision of data produced by the Bureau of Economic Analysis, U.S. Department of Commerce, the annual and quarterly figures may differ slightly from those which appeared in table 1, p. 37, July 1982, Monthly Labor Review (MLR). 2 Seasonally adjusted annual rates. 3Annual and quarterly changes in the CPI-U are taken from tables provided by the Office of Prices and Living Conditions, Bureau of Labor Statistics (BLS). The changes are compiled from 1967 based indexes. 4 Data for the “ PCE: Chain-Weight” were obtained from the Bureau of Economic Analysis (BEA), U.S. Department of Commerce. 5 CPI-U minus “ PCE: Chain-Weight” equals the sum of “ housing treatment” , “ weighting", and “ all other" effects. 6 Change in CPI-U minus change in CPI-X1. See September 1981 MLR, p. 12, for fuller explanation. Source of CPI-X1 data is same as footnote 3. 7 Change in “ PCE: 1972-Weight” minus change in “ PCE: Chain-Weight” . See September 1981 MLR, pp. 8-9, for fuller explanation. Data source for “ PCE: 1972-Weight” changes is same as for footnote 4. 8 Change in CPI-X1 minus change in “ PCE: 1972-Weight". See September 1981 MLR, p. 6, for fuller explanation. Julie A. Bunn is an economist in and Jack E. Triplett is assistant commissioner of the Office of Research and Evaluation, Bureau of La bor Statistics. Digitized 28 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis I As with earlier articles in this series, two different reconciliations are presented, one dealing with periodto-period changes in the price measures, and the other with total movement over the decade from 1972 to date. Reconciling period-to-period changes. In the second quar ter of 1982, the Consumer Price Index for All Urban Consumers ( c p i -u ) rose more rapidly than the “ PCE: Chain-Weight” index.2 This followed an unusual first quarter in which, for only the second time in 3 years, the reverse had been true. (Compare the first two lines in table 1.) The renewed acceleration of the CPI-U relative to the “ PCE: Chain-Weight.” index in the most recent quarter is, however, attributable only to the reemergence of a positive “housing treatment” effect. During the most re cent quarter, the CPI-U was once again accelerating at a faster rate than the C P l-X l, the Consumer Price Index which approximates a rental equivalence measure of housing comparable to that employed in the PCE Defla tor (the difference between the two being 1.6 percentage points— the “housing treatment” effect). The other two components of the difference between the CPI-U and the “ PCE: Chain-Weight” index— the “weighting effect” and “all other effect” — remain nega tive and are both identical to their values in the first quarter of 1982. The “ PCE: Chain-Weight” index, which draws its weights from the immediately preceding peri od, continued to rise more rapidly than a fixed weight index (1972=100) based on the same price data,3 giving rise to the negative “weighting effect” recorded in table 1. The latter, as noted in previous articles, is unexpected and unusual, though it has now persisted for four quar ters. Included in the “all other” effect is the influence of different seasonal adjustment procedures followed in the CPl-Xl and the “ PCE: 1972-Weight” indexes. ' The initial reconciliation and technical basis for the analysis are contained in Jack E. Triplett, “Reconciling the CPI and PCE Defla tor,” Monthly Labor Review, September 1981, pp. 3-15. Subsequent reconciliations appeared in the January, May, and July 1982 issues of the M onthly Labor Review. 2 As discussed in Triplett, pp. 7, 13-14, the PCE Deflator, a Paasche-formula index, cannot be used for this reconciliation because Paasche formulas lend themselves to statistical interpretation only when referring back to the base year (in this case, 1972). 3 See footnote 7 to table 1 and the September 1981 M L R article for information on the computation of the weighting effect. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Reconciling cumulative changes. Table 2 updates cumu lative comparisons of the CPI-U and PCE Deflator which appeared in previous articles, extending the reconcilia tion through the second quarter of 1982. Results are complementary to those of the period-to-period recon ciliation. A note on communications The Monthly Labor Review welcomes communications that supple ment, challenge, or expand on research published in its pages. To be considered for publication, communications should be factual and an alytical, not polemical in tone. Communications should be addressed to the Editor-in-Chief, Monthly Labor Review, Bureau of Labor Statis tics, U.S. Department of Labor, Washington, D.C. 20212. 29 Research Summaries Occupational salary levels for white-collar workers, 1982 a Table 1. Percent increases in average salaries by work level category, 1970-62 Group A (GS grades 1-4) Group B (GS grades 5-9) 1970-82 ........................... 130.4 123.0 135.0 1970-71 ........................... 1971 7 2 '........................... 1972-73 ........................... 1973-74 ........................... 1974-75 ........................... 6.2 6.3 5.5 6.2 9.1 6.3 5.2 4.4 5.7 8.6 6.2 5.6 5.7 6.2 8.8 1975-76 1976-77 1977-78 1978-79 1979-80 ........................... ........................... ........................... ........................... ........................... 7.6 6.9 7.5 7.2 9.1 6.4 6.3 8.0 7.5 10.1 6.5 7.7 8.8 8.0 9.3 1980-81 ........................... 1981-82 ........................... 9.8 9.5 9.6 9.4 10.2 10.4 Period M a r k S. S i e l in g The Bureau of Labor Statistics recently released the re sults of its March 1982 survey of professional, adminis trative, technical, and clerical pay in medium and large firms. The survey, 23rd in an annual series, provides na tionwide salary averages and distributions for some 100 work level categories covering two dozen occupations.1 The number of work levels per occupation varied from one for messengers to eight for engineers. Each level de scribes duties and responsibilities in private industry that are comparable with those of specific groups of Federal white-collar employees. In keeping with the Federal Pay Comparability Act of 1970, the narrowly defined occupational classifications of the survey pro vide the link between private and Federal Government sectors, thereby permitting compliance with the con gressional directive that “Federal pay rates be compara ble with private enterprise pay rates for the same levels of work.”2 Among the various skill levels of white-collar work, salary increases continued to be largest for journeyman and senior levels of professional and administrative oc cupations. Table 1 shows that Group C jobs— equivalent to grades 11-15 of the Federal Government’s General Salary (GS) Schedule— experienced a record 10.4-percent salary rise in 1981-82. Group C pay in creases also led those of the two lower groups in 4 of the preceding 5 years. (See table 2 for identification of the survey classifications that equate to each GS grade.3) A closer look finds that the pay gap between entrylevel professionals and their experienced coworkers wid ened in the 1970’s, as the latter group generally chalked up substantially larger salary increases. The following Mark S. Sieling is an economist in the Division of Occupational Pay and Employee Benefit Levels, Bureau of Labor Statistics. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Group C (GS grades 11-15) ' Actual survey-to-survey increases have been prorated to a 12-month period. tabulation illustrates this point by showing pay levels of four journeyman classifications (GS 11 equivalents) as a percent of the corresponding entry levels (GS 5).4 Note that the journeyman advantage has slipped slightly since 1979: 1970 1979 1982 A c c o u n ta n t........... A u d ito r ................... Chemist ................. E n g in e e r ................. 150 158 155 144 174 183 176 150 173 179 173 146 In recent years, however, the strong demand for engi neers has bolstered their starting salaries, thus keeping the pay gap between their entry and journeyman levels relatively small. This practice is evident when engineer salaries are compared to those of another technical pro fession— chemist. In 1982, average salaries for entrylevel engineers were 20 percent higher than starting chemist salaries; at the journeyman level, in contrast, the difference was only 1 percent (table 2). The effects of such changes are reflected in the overall salary structure for professional jobs since 1970. Based on a matrix analysis of five professional occupations spanning 30 work levels, the average difference for 435 paired comparisons was 65 percent in 1982 and 58 per cent in 1970.5 How these individual jobs and their work Table 2. Average salaries of employees in selected white-collar occupations in private establishments, March 1982 Occupational level and Federal GS grade equivalent Number of employees’ Accountants and auditors Accountants Accountants Accountants Accountants Accountants Accountants 1(G S -5 )................................................... II (GS-7) ................................................. III (GS-9) ................................................. IV (G S -11 )............................................... V (GS-12) ............................................... VI (GS-13 ) ............................................... Auditors Auditors Auditors Auditors $18,260 22,068 25,673 31,658 38,680 48,549 I (G S -11)........................................ II (GS-12) ...................................... III (GS-13 ) ...................................... IV (GS-14 ) ...................................... 654 953 672 180 34,506 39,708 50,414 61,255 I (G S -5 ).......................................................... II (GS-7) ........................................................ III (GS-9) ........................................................ IV (G S -11 )..................................................... 2,456 3,760 4,797 2,559 17,901 22,065 26,502 32,004 9,035 9,570 8,485 4,439 17,266 19,177 22,830 27,286 1,628 3,008 3,622 2,919 1,896 707 25,162 31,696 39,649 49,818 61,579 76,202 Public accountants Public accountants Public accountants Public accountants I (GS-7) ........................................ II (G S -9)........................................ III (GS-11) .................................... IV (GS-12) .................................... Attorneys Attorneys Attorneys Attorneys Attorneys Attorneys Attorneys I (G S -9 )........................................................ II (GS-11) ................................................... III (GS-12) ................................................... IV (GS-13 ) ................................................... V (GS-14) ................................................... VI (GS-15 ) ................................................... Buyers Buyers Buyers Buyers Buyers I (G S -5)............................................................ II (GS-7) .......................................................... III (G S -9 ).......................................................... IV (G S -11)........................................................ I (G S -5)............. II (GS-7) ........... III (G S -9 )........... IV (G S-11)......... V (GS-12 ) ......... 31,293 60,083 116,212 138,972 101,701 45,853 14,102 2,874 $23,622 26,060 29,331 34,443 40,677 47,442 54,338 62,494 I (G S -3 )................................. II (GS—4) ............................... III (GS-5) ............................... IV (G S -7 )............................... V (GS-9) ............................... 7,178 20,271 31,340 36,630 21,651 14,688 17,246 20,219 23,620 26,761 I (G S -2 ).......................................................... II (G S -3).......................................................... III (GS—4) ....................................................... IV (G S -5 )....................................................... V (GS-7) ....................................................... 3,161 11,929 23,277 26,149 20,762 11,739 14,257 17,046 20,964 25,909 I (GS-4) ...................................... II (G S -5 )...................................... III (GS-6) ................................... IV (GS-7) ................................... V (GS-8) ................................... VI (GS-9) ................................... 6,141 14,928 29,523 16,252 3,212 360 11,896 13,895 15,804 19,325 22,889 23,267 Photographers II (G S -5 )............................................... Photographers III (GS-7) ............................................ Photographers IV (GS-9) ............................................ 570 725 434 18,773 22,425 25,392 I (G S -2 ).......................................... II (G S -3).......................................... III (GS-4) ........................................ IV (G S -5 )........................................ 27,738 85,417 58,670 23,519 10,478 12,488 14,713 18,083 File clerks I (GS-1) ..................................................... File clerks II (G S -2 )..................................................... File clerks III (G S -3)..................................................... 22,496 12,109 4,037 9,018 10,474 12,794 Key entry operators I (GS-2) ...................................... Key entry operators II (G S -3 )...................................... 59,672 40,048 11,771 13,956 Messengers (G S -1 )..................................................... Engineers I (G S -5)....................................................... Engineers II (GS-7) ..................................................... Engineers III (G S -9 )..................................................... Engineers IV (G S -11)................................................... Engineers V (GS-12) ................................................... Engineers VI (GS-13 ) ................................................... Engineers VII (GS-14) ................................................. Engineers VIII (GS-15 ) ................................................. Technical support Engineering technicians Engineering technicians Engineering technicians Engineering technicians Engineering technicians Drafters Drafters Drafters Drafters Drafters Computer Computer Computer Computer Computer Computer operators operators operators operators operators operators 6,422 18,901 17,561 5,449 18,074 22,174 27,424 33,409 13,043 30,366 45,970 26,360 7,950 17,535 20,629 25,192 29,365 35,430 13,931 9,999 216 444 822 524 18,573 19,900 25,028 31,221 Personnel Personnel Personnel Personnel I (G S -3 )........................... II (GS-4) ........................ III (G S -5 )........................ IV (G S -6 )........................ 2,353 4,683 3,576 1,787 11,706 14,122 15,718 18,432 1,061 2,120 958 287 31,136 38,168 47,553 57,859 Purchasing assistants I (GS-4) ................................... Purchasing assistants II (G S -5 ).................................... Purchasing assistants III (GS-6) ................................. 4,791 4,605 1,577 13,589 17,117 22,276 I (GS-4) ................................................... II (GS-5) ................................................... III (G S -6 )................................................... IV (GS-7) ................................................. V (G S -8 )................................................... 63,768 63,060 106,688 45,616 22,679 14,000 14,939 17,051 18,603 21,546 Stenographers I (GS-3) ............................................... Stenographers II (G S -4)............................................... 15,562 11,534 14,867 18,094 Typists I (G S -2)............................................................ Typists II (GS-3) .......................................................... 31,703 17,822 10,893 13,723 Programmers Programmers/programmer-analysts Programmers/programmer-analysts Programmers/programmer-analysts Programmers/programmer-analysts Programmers/programmer-analysts Average annual salary2 Occupational level and Federal GS grade equivalent Chemists and engineers— Continued 14,281 23,570 35,575 21,187 7,614 1,344 Chief accountants Chief accountants Chief accountants Chief accountants Number of employees’ Average annual salary2 Clerical Accounting Accounting Accounting Accounting clerks clerks clerks clerks Personnel management Job Job Job Job analysts analysts analysts analysts Directors of Directors of Directors of Directors of I (G S -5)................................................... II (GS-7) ................................................. III (G S -9 )................................................. IV (G S -11)............................................... personnel personnel personnel personnel I (G S -11)................................. II (GS-12) ............................... III (GS-13 ) ............................... IV (GS-14 ) ............................... Chemists and engineers Chemists I (G S -5 )........................................................ Chemists II (G S -7)........................................................ Chemists III (GS-9) ..................................................... Chemists IV (G S -1 1 )................................................... Chemists V (GS-12) ................................................... Chemists VI (GS-13 ) ................................................... Chemists VII (GS-14 ) ................................................... 3,617 6,677 10,900 11,028 8,912 3,828 1,438 19,640 23,474 28,016 34,047 40,207 46,971 53,658 ’ Occupational employment estimates relate to the total in all establishments within scope of the survey and not to the number actually surveyed. 2 Salaries reported relate to the standard salaries that were paid for standard work schedules; i.e., the straight-time salary corresponding to employee’s normal work schedule exclud ing overtime hours. Nonproduction bonuses are excluded, but cost-of-living bonuses and incentive earnings were included. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis clerks/assistants clerks/assistants clerks/assistants clerks/assistants Secretaries Secretaries Secretaries Secretaries Secretaries N ote : The following occupational levels were surveyed but insufficient data were obtained to warrant publication: Chief accountant V; director of personnel V; chemist VIII; personnel clerk/assistant V; engineering technician VI; and photographer I and V. 31 M ONTHLY LABOR REVIEW October 1982 • Research Summaries levels fared in salary increases over the 1970-82 period is shown below: P erce n t increase Accountant . . . . A tto r n e y .............. Auditor .............. Chemist .............. E n g in eer.............. L evel I L evel II A v era g e f o r re m a in in g levels 115 112 101 114 131 130 133 122 129 135 146 139 131 137 141 Although the salary structure widened, it left the rela tive ranking of professional work levels by pay virtually unchanged. Only 2 (Attorneys I and II) of 30 moved more than one position between 1970 and 1982. In 1982, the survey’s highest professional salary aver age was for top-level (VI) corporate attorney at $76,202 a year; the lowest-paid professional classification— en try-level (I) auditor— averaged $17,901 (table 2). These extremes reflect the wide range of duties and responsi bilities represented by all professional categories covered by the survey. In contrast, the typical salary spread among job categories with equivalent levels of work is relatively narrow. Thus, annual average salaries for the six work levels surveyed that equate to Federal GS grade 13 ranged from $46,971 for chemist VI to $50,414 for chief accountant III6— a difference of only 7 percent. Salary relationships produced by the survey are evidence that companies recognize equivalent duties and responsibilities among a wide range of occupations within broad categories. Another characteristic of white-collar workers report ed in the survey is the pronounced variation in their earnings within occupational work levels. Salaries of the highest paid employees in a single work level were com monly twice those of the lowest paid employees. Conse quently, some professional workers in the first journeyman level earned as much as, or more than, their counterparts in more senior levels; for example, 10 percent of accountants III and 7 percent of accountants V earned between $30,000 and $32,500 annually in March 1982. Factors contributing to dispersed salaries include such traditional wage determinants as firm size, industry, and geographic location in addition to rangeof-rate plans used by many employers to recognize mer it or seniority. A MORE DETAILED a n a l y s i s of white-collar salaries and complete results of this year’s survey are contained in the National Survey o f Professional, Administrative, Technical, and Clerical Pay, March 1982, BLS Bulletin 2145, September 1982. It includes salary distributions by occupational work level, and relative employment and salary levels by industry division for the two dozen occupations studied. □ Digitized for 32 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis --------- FOOTNOTES---------' The survey is conducted annually with a March reference period in metropolitan areas and nonmetropolitan counties in the United States, except Alaska and Hawaii. Metropolitan areas accounted for nine-tenths of the employees in occupations for which salary data were developed. 2 5 U.S.C. Sec. 5301(a)(3)(l 970). The pay-setting role of the Profes sional, Administrative, Technical, and Clerical Survey is described in George L. Stelluto, “Federal pay comparability: facts to temper the debate,” M onthly Labor Review, June 1979, pp. 18-28. 3In 1982, a total of 101 work levels produced publishable data out of the 108 levels within scope of the survey. Of these 101 work levels, 92 were sufficiently unchanged in definition between the 1981 and 1982 surveys to be used in computing the 1981-82 increases shown in table 1. Widely varying duties and responsibilities may be embodied in work levels within each of the broad categories of table 1; for ex ample, Group B includes journeyman, clerical, and technical levels, such as accounting clerk IV and engineer technicians III through IV, as well as the entry and developmental levels of professional occupa tions. 4A similar pattern was found for the 1970’s in the salary relation ship of recent law graduates with bar membership (survey job attorney I) and attorneys with experience handling legal work with few precedents (attorney III)— GS grade equivalents 9 and 12, re spectively. The salary relatives were 142 in 1970 and 158 in 1979 and 1982. 5The pay matrix helps to analyze the comparative salary position of each job classification with each of its counterparts. The matrix ex pands upon the traditional approach which limits comparisons of oc cupational averages to the highest and lowest levels or to setting a single job as the base for all others to be measured against. The dif ference between the resulting means of the paired comparisons in 1970 and 1982 was statistically significant at a 5-percent level. For a description of the matrix and its use, see Mark S. Sieling, “Interpreting pay structures through matrix applications,” Monthly Labor Review, November 1979, pp. 41-45. 6 In the survey coding structure, the level designations among vari ous occupations are not synonymous: For example, the first level of at torneys equates to the third levels of accountants, chemists, and most other professional and administrative occupations. See table 2 for more details on job level equivalents. Classification of employees in the occupations and work levels surveyed is based on factors detailed in definitions which are available upon request. Employment Cost Index continues to decelerate in second quarter The Employment Cost Index (ECl), measuring changes in employer compensation costs, increased 1.1 percent in the 3 months ended in June. Wages and salaries alone rose 0.9 percent. The index stood at 107.5 for compen sation costs (wages, salaries, and employer costs for em ployee benefits) based on June 1981 = 100. The ECl does not cover farm, private household, and Federal govern ment workers and is not seasonally adjusted. The deceleration in rates of increase for both compen sation costs and for wages and salaries alone that began in 1981 continued to be widespread among occupational and industrial groups measured by the ECI. Compensa tion costs for all private nonfarm workers slowed to a 1.3-percent rise in the second quarter, down from 1.9 percent a year earlier. The corresponding wage and sal ary increase, 1.1 percent, was down from 2.0 percent a year earlier. Workers in occupations and industries that typically receive the bulk of their wage adjustments in the second quarter showed relatively small gains. Transport equip ment operatives, for example, posted a 0.9-percent wage increase. The advance was dampened by the recent trucking industry bargaining settlements that provided no specified wage increases and diverted part of the cost-of-living adjustment to maintain existing employee benefits. Over the past 5 years, second-quarter wage in creases for transport equipment operatives ranged be tween 3 and 5 percent. Wages for workers in the construction industry rose 1.3 percent in the second quarter— an unusally low in crease for an industry with a heavy bargaining schedule in the spring and summer months. Second-quarter wage increases in construction ranged between 2 and 3 per cent over the past 5 years. A substantial deceleration in rates of increase in com pensation costs and wages and salaries for the year ended in June 1982 compared with the preceding year also occurred. A particularly dramatic slowdown oc curred in compensation cost increases for blue-collar workers in private industry. These costs slowed to a 7.0-percent increase in the year ended in June 1982, from a 10.5-percent rise in the year ended in June 1981. Wage increases alone for these workers slowed to 6.6 percent, down from 9.2 percent a year earlier. Among white-collar workers, compensation costs rose 7.2 percent for the 12 months ended in June 1982 com pared with 10.2 percent during the year ended in June 1981; their wages and salaries increased 7.3 percent, down from 9.4 percent in June 1981. Rates of change within the white-collar group varied substantially, how ever. Salesworkers’ wages, which include volatile com mission earnings, rose only slightly, 1.8 percent, for the June 1981-82 period in contrast to 10.2 percent for June 1980-81. However, wage increases for clerical workers, 8.3 percent for the 12 months ended in June 1982, were only slightly below the June 1981 advance of 8.8 percent. Compensation costs for union workers rose 8.4 per cent in the June 1981-82 period, contrasted to 11.5 per cent a year earlier; union wage and salary increases dropped to 8.1 percent from 10.1 percent. The slowdown was also evident for nonunion work ers. Compensation costs increased 6.5 percent for the 12 months ended in June, down from 9.8 percent a year earlier; wage increases were 6.5 percent and 9.0 percent. Compensation costs for State and local government employees, coverage introduced in June 1981, increased 9.3 percent over the year. Wages for these workers ad vanced 8.7 percent. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Additional data on second-quarter ECI results appear in the Current Labor Statistics section of the Review. □ GAO study focuses on problems of teenagers in labor market Teenage unemployment, especially that of blacks, has been a concern among policymakers in recent years. According to the General Accounting Office ( g a o ), un employment among black teenagers had increased sharply since 1970— along with a coincident rise in crime among all teens. During 1949-80, the unemployment rate of white male teenagers stayed about three times higher than that of adult males. However, a substantial amount of the difference in these rates can be traced to teens vol untarily leaving jobs and the labor force. Of all teenagers, those who are unemployed represent only a fraction; but this relatively small group is largely composed of poor and black persons. Therefore, high unemployment indicates a serious labor market problem for black teenagers. GAO found that using labor force and employment status as the major criteria for ascertaining the need for teenage employment services was insufficient. Many teenagers lack the basic reading, writing, and computa tion skills required to compete and succeed in the job market, the congressional agency reported. Therefore, using a detailed analysis of the educational achievement, labor force status, and demographic characteristics of teens, GAO estimated that in 1977 “approximately 962,000 economically disadvantaged teenagers (16 to 21 years old) with a high school degree or lower attain ment [were] most in need of Federal assistance.” In subsequent years, the number in need depends on how long the average person needs assistance. Since 1940, there have been extensive racial dif ferences in teenage unemployment outside the South. From 1940 to 1950, non white unemployment was lower in the South than white unemployment during the same period. However, since 1970, the difference has widened significantly in all U.S. regions. GAO cities two major unresolved questions— why did the black teenage unemployment rate rise so sharply since 1970 and what are the underlying factors of the large and persistent (40 plus years outside the South) teenage unemployment difference? The study finds the most im portant reasons to be lower scholastic achieve ment, which, in turn, is a function of many family back ground variables, and inaccessibility to job vacancy information. Factors which caused the racial dissimilarities in teen age labor participation were difficult to find. A partial 33 M ONTHLY LABOR REVIEW October 1982 • Research Summaries explanation appears to be discouragement. Teenagers, who lack the personal qualifications necessary for a job, may have had a few bad employment experiences and then decided to withdraw from the labor force, discour aged over their predicament. Some additional evidence on this issue is provided by an analysis of other possible causes. It shows that near ly three-fourths of the racial difference in labor force participation of out-of-school teens is explained by fami ly background. The analysis also suggests that black teenagers living in households receiving Aid for Fami lies with Dependent Children since 1960 may have been a cause of the relative worsening of labor force partici pation and unemployment rates among young blacks in recent years. The claim that a teenager’s inability to find a job can have an effect on his or her inclination to commit a crime seems plausible, the GAO study states. However, evidence on the causes of crime does not show how im portant the effect of unemployment is. Some studies suggest that it may be important, but they are flawed statistically and those that do not have these flaws deal with problems other than unemployment. Inability to find a job is not the only factor potential ly contributing to crime. Being unable to qualify for a job would logically seem much more conducive to crim inal behavior, but, because of insufficient data, GAO has Digitized for 34 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis not been able to analyze this group. Regardless of a link to crime, teenagers unqualified for jobs are a seri ous social problem, GAO noted. Considering the effect of low wage jobs versus unem ployment may also be important. A “job-qualified” teenager might not be driven to crime by a moderately difficult period of unemployment, but, depending on as pirations, the prospect of a lifetime of very modest pay ing jobs might make crime attractive, according to the study. On the bright side, GAO could find no evidence that being out of work occasionally as a teenager has any adverse effect on future labor market opportunities or successes. This held true even for out-of-school teenagers. The GAO report concludes that studies should be con ducted to find new ways of identifying and delivering education and training services to disadvantaged teens. Also, the agency believes that extended research is nec essary on the link between teenage unemployment and crime. However, the study notes that the Department of Labor disagrees with both suggestions. The full report, Labor Market Problems o f Teenagers Result Largely from Doing Poorly in School, Washing ton, D.C., March 1982, ( p a d -82-06), is available from the U.S. General Accounting Office, Document Han dling and Information Services Facility, Gaithersburg, Md. 20760. □ Foreign Labor Developments Political issues dominate ILO conference; new worker standards adopted Ju l i e M i s n e r The International Labor Organization ( i l o ), which this year had grown to number 150 member states, held its 68th general conference in Geneva, Switzerland. Alfon so Grados Bertorini, labor minister from Peru, was elected conference president. Although the conference adopted a number of new international labor standards, its deliberations were dominated by political issues, ac cording to members of the U.S. delegation. Founded in 1919, the ILO is unique among the United Nations’ specialized agencies because of its tripartite structure. Worker and employer delegates enjoy equal and independent representation with governments. The ILO’s mission is to promote employment, better working conditions, and worker and employer rights. Its tools include an annual conference, smaller technical meet ings, research, and technical cooperation. From the outset, all the elements were present to make the June 2-23 conference a political arena— the Israeli invasion of Lebanon, the Argentine-British hos tilities in the Falkland Islands, apartheid, Poland, and the Iran-Iraq war. In reaction to these developments, some delegates used the conference plenary sessions to make political denouncements, often insulting other member states and straying far from the competence of the ILO conference. Other delegates, including those of the United States, reminded the conference of the one political issue germane to and at the very heart of the ILO: freedom of association. These participants lamented the renewed and heightened challenges to the principles of freedom of association and the unfortunate absence of Poland’s Lech Walesa, who had participated in the 1981 conference— to the cries of “political interference” from Communist delegates. The same political undercurrents were present— al though usually unstated— in the technical work of the Julie Misner is a program analyst in the Office of International Orga nizations, Bureau of International Labor Affairs, U.S. Department of Labor. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis conference and during the special visits by French Presi dent Francois Mitterand and Pope John Paul II. But it was in three committees, which by their mandate and makeup were politically charged, that most of the dra ma of the conference developed: the Resolutions Com mittee, the Committee on the Application of Conven tions and Recommendations, and the Committee on Apartheid. Resolutions deadlock Because it considers proposals unrelated to any item on the conference agenda, the Resolutions Committee is always a prime target for excessive and extraneous po liticization. In theory, resolutions should deal with tech nical labor issues and propose new areas for ILO program emphasis. In practice, such resolutions are usu ally overshadowed by politically inspired resolutions having little to do with the ILO. This year’s Resolutions Committee was so beset by chaotic procedural wrangling (including one session adjourned because of a bomb threat and another adjourned following an almost total breakdown of or der) that it ended in a deadlock. Not only were no reso lutions forwarded to the conference plenary for adoption, but the committee was unable to adopt a re port describing its work. Nevertheless, after 2Vi weeks of chaos in committee, the anticipated blowup when the “non-report” reached the plenary never materialized. Eighteen draft resolutions were submitted to the con ference secretariat prior to the May 18 deadline (that is, 15 days before the opening of the conference, as re quired by ILO rules). The most potentially difficult and explosive of these was an Arab resolution concerning “The Observance of a Day of Solidarity with the Work ers and People of Palestine, the Golan and the other oc cupied Arab Territories.” 1 The Arab bloc and its allies joined the committee in unprecedented numbers to ensure adoption of the reso lution, but when results of the secret ballot for the five priority resolutions were announced, the Arab resolu tion— for the first time in almost 10 years— had not taken first place. The committee had decided to consid er the draft resolutions in the following order: • Freedom of association • Arab resolution concerning Palestinian workers 35 M ONTHLY LABOR REVIEW October 1982 • Foreign Labor Developments • Employers’ group resolution on possible ILO funding of conference delegations • Sudanese resolution on African refugees • ILO participation in the International Youth Year This meant that the discussion on the freedom of as sociation resolution— which contained language unac ceptable to the Soviet bloc— would have to be completed before the committee could consider amend ments to the Arab resolution. What ensued, according to many knowledgeable participants and observers, was an apparently calculated disruption and blockage of the committee’s proceedings, and the ultimate failure of the committee to agree on anything. Following a general discussion of the first three resolutions, the committee never progressed beyond the first 5 of 71 amendments to the freedom of association resolution. In its last sit ting, the committee was even unable to adopt a report describing its lack of progress. On the final day of the conference, the President not ed the absence of a Resolution Committee report and concluded that there was, as a result, nothing to dis cuss. His statement, to the great surprise of many dele gates who anticipated a major confrontation sparked by the Arabs’ failure to win passage of their resolution, went unchallenged, and the conference quietly proceed ed to the next item of business. However, the toll had already been taken the day before on the report of the Committee on the Application of Conventions and Rec ommendations. Poland criticized The Committee on the Application of Conventions and Recommendations faced a particularly difficult task this year, with 115 cases concerning approximately 70 countries. Among the politically sensitive cases on the agenda were Poland, the Soviet Union, Cuba, Czecho slovakia, Argentina, Nicaragua, Chile, and Bolivia. Cou pled with the sheer number of cases to be examined, as well as the sensitive nature of some of them, were the emotional tensions surrounding the Israeli invasion of Lebanon and the clear disregard for the whole process of standards supervision on the part of the Eastern bloc. Despite its frequently electric atmosphere, the Com mittee on the Application of Conventions and Recom mendations for the most part continued to successfully use its new methods of work (that is, a new special list system for highlighting both cases of progress and problems in implementing standards) adopted in 1980. This system includes a heading called “continued failure to implement,” in which are listed governments which violated ratified ILO standards for a number of years and have failed to cooperate with ILO efforts to bring their law and practice into line. This is the iLO’s most serious form of censure. Digitized for 36 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis In the committee’s report, Chile was cited for “con tinued failure to implement” Convention 111 concern ing discrimination in employment— in this case dismis sals of persons from the public service because of their political opinions. The governments of Bolivia and Bur ma were highlighted in special paragraphs for their problems in implementing Convention 87 on freedom of association. But it was the case of Poland which took and maintained center stage throughout the proceedings of the Committee on the Application of Conventions and Recommendations, both in terms of the substance of discussion as well as the influence it exerted over the subsequent work of the committee. The Government of Poland came under the scrutiny of the committee for its violations of freedom of association stemming from its December 1981 declaration of martial law and impris onment of hundreds of Solidarity leaders and members — this immediately following a separate examination on the same subject by the Governing Body’s Committee on Freedom of Association. Although the Polish gov ernment initially expressed its willingness to cooperate with the ILO’s supervisory machinery, it reversed its po sition when the committee recommended that the case be highlighted in a special paragraph— even going so far as to call for a vote on that part of the committee’s report. (The committee in its conclusions commended the Polish government’s recent efforts and progress, but nevertheless expressed its deep concern regarding the in fringements of Convention 87 and associated itself with the very strong recommendations of the Committee on Freedom of Association.) Following some discussion as to whether such a vote could be taken— that is, after the set of conclusions had already been accepted by the committee— a vote by show of hands resulted in the adoption of the special paragraph. One week later, the committee unanimously adopted its full report. However, those who believed that the subject of Poland had been laid to rest were quite surprised when the committee report reached the plenary. In plenary, just as conference President Alfonso Grados was about to move that the report of the Com mittee on the Application of Conventions and Recom mendations be adopted by consensus, a delegate from the Soviet bloc took the floor to protest the special paragraph on Poland and requested that the report as a whole be put to a vote by the conference. What ensued were two successive votes (first a show of hands, then a record vote the next morning) which prevented the re port from being adopted by lack of a quorum — al though by a very narrow 8-vote margin. A breakdown of the record vote on the Committee on the Application of Conventions and Recommenda tions report revealed that many Arab delegates had joined the Soviets to prevent a quorum from being obtained, at least partly because of their frustration over the events in the Resolutions Committee. Only twice before, in 1974 and 1977, has the conference sim ilarly failed to adopt such a report. While the failure to adopt was disappointing, several delegates made powerful statements— starting with the U.S. Govern m ent— commending the work of the committee, sup porting the other aspects of the ILO’s machinery for the supervision of international labor standards, and pointing out that the conference’s failure to adopt the report did not affect the ILO’s continued scrutiny of events in Poland. Conclusions on apartheid questioned The stated task of the newly established permanent Committee on Apartheid was to review the DirectorGeneral’s report on the application of the June 1981 “Declaration Concerning the Policy of Apartheid” in South Africa, which contained information on efforts to eliminate apartheid. The information had been submit ted by governments and workers’ and employers’ orga nizations since adoption of the declaration. The committee’s six sessions consisted primarily of a series of speeches denouncing apartheid and calling for meas ures— mostly economic— to combat it. Its conclusions outlined a number of recommended steps to be taken by governments and the private sector to reduce or eliminate economic relations with South Africa, includ ing supplying information on foreign companies with investments in South Africa, and providing direct assist ance to national liberation movements. Both in the committee and in plenary, a significant minority of government and employer delegates, includ ing those of the United States, stated that while they abhorred apartheid, they found unacceptable the confer ence’s tendency to disregard the ILO’s established proce dures for due process and to take the organization “beyond its appropriate mandate and competence.” The committee’s conclusions took note of the reservations expressed by these members, and the anticipated, heated plenary discussion of the apartheid report never came to pass. The report was adopted without vote and without incident. New labor standards adopted The 1982 conference considered four technical agenda items. Two items resulted in the adoption of new Con ventions and Recommendations, one in the minor revi sion of an existing Convention; the remaining item will undergo final discussion at the 1983 conference. An i l o Convention is an international treaty that car ries a legal obligation under international law for states which ratify it. A Recommendation, on the other hand, is simply what the name implies— a document which https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis suggests specific measures that can be taken to imple ment labor policies. Recommendations are not subject to ratification and therefore bear no legal obligation. Termination o f employment. The conference adopted both a Convention and a Recommendation concerning the termination of employment at the initiative of the employer, updating a 1963 Recommendation. At the end of last year’s discussion of this item, workers and employers had been diametrically opposed on virtually every point of the proposed standards, with govern ments divided according to their law and practice. The major controversy surrounded the amount of govern ment regulation that is necessary and appropriate to protect workers against arbitrary and unfair dismissal. This year the committee remained controversial and at times confrontational, but a small worker-employer working group did successfully propose shifting some of the more objectionable provisions from the Convention to the Recommendation and otherwise moderate the former. Nevertheless, the employers and a number of governments, including the United States, contended that the Convention adopted by the conference still relies too heavily on government intervention and too little on private initiative. As a result, they argued that the instrument is not sufficiently flexible and universal to be widely ratified and implemented. Social security fo r migrant workers. The conference also adopted a new Convention (actually a revision of a 1948 Convention) concerning the social security rights of workers and family members who are employed out side their home countries. The new standard extends coverage to all forms of social security and opens the way for applying social security standards to selfemployed persons as well as to salaried employees. Most of the provisions of the Convention would take effect as a result of bilateral or multilateral agreements between governments, though some provide for direct and immediate application as a consequence of a mem ber state’s ratification of the instrument. Although U.S. legislation is not completely compati ble with the provisions of the new Convention, and U.S. ratification is thus not likely in the foreseeable future, the entire U.S. delegation was able to support adoption of the instrument. The Convention was adopted in an overwhelming affirmative vote by the conference. Next year, the conference will take up an unprece dented third discussion of the social security issue. This discussion, preceded by a tripartite meeting of social security experts, will formulate model provisions designed for bilateral and multilateral international so cial security agreements. These provisions will take the form of a Recommendation to supplement the new Convention. 37 M ONTHLY LABOR REVIEW October 1982 • Foreign Labor Developments Vocational rehabilitation. The 1982 conference held a general discussion which will lead to the possible adop tion in 1983 of a Recommendation supplementing the Vocational Rehabilitation (Disabled) Recommendation of 1955. While the provisions of the original instrument are still relevant, new developments in the field have made it necessary to broaden its scope by updating and expanding its definitions of the terms “vocational reha bilitation” and “disabled.” The conference did not ac cept the ILO secretariat’s proposal to include among disabled persons the socially maladjusted, but proposed coverage in the revised instrument for all individuals whose prospects of securing and retaining suitable em ployment are substantially reduced as a result of “an impairment of a physical, mental, or psychological na ture duly recognized by a competent authority.” During the committee’s discussions, the workers’ group unsuccessfully proposed that the supplementary standard on vocational rehabilitation should take the form of a Convention. While the committee’s draft con clusions were easily adopted both in committee and in plenary, the workers are expected to rekindle their call for a Convention next year. structure be included in the 1983 conference agenda. The structure question involves, among other things, proposed changes in the size and composition of the ILO’s Governing Body and its relationship to the confer ence. Although some of the issues have been ironed out, the structure question is being considered as a “pack age” and nothing can be resolved until complete agree ment is reached. □ Revision o f the Plantations Convention. In the shortest and quietest technical discussion in ILO history, the con ference easily adopted a protocol revising Article One of the 1958 Convention concerning the Conditions of Em ployment of Plantation Workers. The objective of the revision was to limit the ILO’s very broad definition of the term “plantation” and thereby pave the way for wider ratification and implementation of the instrument. There was no substantive discussion of conditions of work on plantations. The revision of the Plantations Convention marks the first time that the protocol format has been used by the ILO conference. The new procedure eliminates the need for publishing an entire new text (only 1 article of 99 was changed) with a new number. In the future, gov ernments will have the option of ratifying either version of the Plantations Convention. During the last several decades, labor market discrimi nation against women has become a m atter of consider able social and political concern. The rising female labor force participation rate over the years and its pro jected further increase render this issue even more im portant.1 This type of discrimination can take concept ually two forms: employment discrimination and pay discrimination. The former can be defined as unequal job levels for men and women with similar qualifica tions, and the latter as unequal pay for men and women who have equal qualifications and are performing simi lar jobs, jobs of equal value, or both (that is, compara ble worth).2 In this report, equal employment and equal pay legislation are discussed; then, selected cases decided by courts and boards of inquiry are analyzed; and finally, conclusions and policy implications are presented. Other work of the conference Public policy In the Conference Finance Committee, which is com posed only of government members, contributors to the ILO began— at the initiative of the United States— to take a closer and more critical look at the ILO’s grow ing practice of using supplemental budget requests to fi nance so-called “unforeseen” expenditures, that is, in excess of the organization’s biennial program and bud get. The Structure Committee, on the other hand, accom plished little more than to call for the reconstitution and resumption of the Working Party on Structure (now in its 9th year) and to request that an item on Equal pay. All Canadian jurisdictions have laws which require equal pay for equal work within the same estab lishment, without sex discrimination. These provisions have been incorporated either in human rights legisla tion (Federal jurisdiction, Alberta, British Columbia, New Brunswick, Newfoundland, Northwest Territories, Prince Edward Island, and Quebec) or in labor stand ards legislation (Manitoba, Nova Scotia, Ontario, Sas katchewan, and Yukon Territory). 38 FRASER Digitized for https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis --------- FOOTNOTE---------1Sponsors were the government delegations of Algeria, Democratic Yemen, Iraq, Jordan, Kuwait, Lebanon, Libyan Arab Jamahiriya, Morocco, Qatar, Saudi Arabia, Somalia, Sudan, Syrian Arab Repub lic, Tunisia, United Arab Emirates, and Yemen. Canadian legal approaches to sex equality in the workplace H a r i s h C . Ja i n Harish C. Jain is a professor of personnel and industrial relations, McMaster University, Hamilton, Ontario, Canada. At the Federal level, equal pay legislation was first put into effect in 1956 and amended in 1967. It required equal wages for men and women performing the same or similar work under the same or similar working con ditions on jobs requiring the same or similar skill, ef fort, and responsibility. This legislation remained in effect until 1977, when it was replaced by the Canadian Human Rights Act embodying the equal value princi ple. According to the act, men and women performing work of equal value (regardless of whether the work is similar) must be paid equal wages. The act also elabo rates on how the value of work may be assessed; section 11 (2) specifies that in assessing the value of work per formed by persons employed in the same establishment, the criterion to be applied is the composite of skill, ef fort, and responsibility required in the performance of the work and the conditions under which the work is performed. The Quebec legislation calls for equal pay for equivalent work.3 Compared with the Federal and Quebec jurisdictions, the various provincial jurisdictions follow a narrow defi nition of equal work, such as “same work,” “similar work,” or “substantially the same work.” In 6 of the 12 jurisdictions (Ontario, Nova Scotia, New Brunswick, Newfoundland, Prince Edward Island, and Saskatche wan), legislation also specifies factors on which equality of work may be based. These factors are education, skill, experience, effort, responsibility, and working conditions. The legislation in a majority of jurisdictions provides for a general exception permitting differentials between the pay of men and women based on any factor other than sex. Other jurisdictions list specific exceptions which include seniority, work experience, and merit. Several court decisions have helped to provide a more precise interpretation of equal pay legislation in Cana da.4 In the Greenacres Nursing Home case in 1970, the Ontario Court of Appeal ruled that “the same work” did not necessarily imply “identical work” and that job comparisons should be based on work performed rather than on formal job descriptions or terms of employ ment. In the Riverdale Hospital Case in 1973, the con cept of equal work was further broadened. Here, the Ontario Court of Appeal ruled that different job titles do not necessarily indicate different work, slightly dif ferent job assignments do not make the work unequal, and within an occupation, if some men do the same work as women, equal pay is justifiable for the whole occupation. The last point was clarified in a case in which the Saskatchewan Court of Appeal declared that even when only 5 of 46 male caretakers performed work similar to female cleaners, it should be considered a suf ficient number within the provincial equal pay legisla tion, and that “some” employees being paid a rate of pay higher than others doing similar work warrants equal pay.5 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis The courts have also dealt with what might properly constitute “a factor other than sex” in justifying malefemale pay differentials. In two decisions at the Federal level— the C.T.V. Television Network case in 1975 and the La Societe Radio-Canada case in 1977— the Court ruled that differences in the quality of work as assessed by management are sufficient to justify unequal pay. The Court acknowledged that such an assessment might be subjective and, thus, might involve an error of judg ment; however, the Court held that it was not within the competence of the judiciary to review management’s judgment. The courts have also ruled on whether the existence of two separate bargaining units could be con sidered “a factor other than sex” to permit pay differen tials between them. The Alberta Court of Appeals in the Gares case in 1976 decided against it.6 Equal employment. As in the case of equal pay, all ju risdictions in Canada have also enacted human rights legislation. All the statutes prohibit discrimination on the basis of race, national origin, color, religion or creed, sex, marital status, and age. The age groups pro tected vary among jurisdictions, with the most common being between the ages of 40 or 45 and 65. Discrimina tion due to physical disability is proscribed in seven ju risdictions. Other prohibited grounds include sexual orientation in Quebec and pardoned offenses in the Fed eral jurisdiction.7These statutes apply to employers, em ployment agencies, and trade unions. Discrimination is prohibited with respect to advertising and terms and conditions of employment including promotion, trans fer, and training. Indirect or systemic discrimination. Both direct8 and in direct employment discrimination is prohibited. The Canadian Human Rights Act, as well as numerous deci sions by boards of inquiry in several provinces, has bor rowed the concept of indirect discrimination from U.S. case law and relevant British legislation, that is, the Race Relations Act and the Sex Discrimination Act. In the United States, the concept was articulated by the Supreme Court in Griggs v. Duke Power Co. in 1971. The Court unanimously endorsed a results-oriented def inition of what constitutes employment discrimination and indicated that intent does not matter; the conse quences of an employer’s actions determine whether it may have discriminated under Title VII of the Civil Rights Act.9 Enforcement. In the enforcement of both the equal pay and equal employment legislation, the method common to all jurisdictions is investigation based on employee complaints. (Although, sometimes, Human Rights Com missions may file a complaint or commence an investi gation.) All the acts provide for the settlement of com39 M ONTHLY LABOR REVIEW October 1982 • Foreign Labor Developments plaints, if possible, by conciliation and persuasion and for an initial, informal investigation into a complaint by an officer who is directed to effect a settlement. If con ciliation fails, a board of inquiry is usually appointed; it may issue orders for compliance, compensation, and so on. This order may be appealed to the Supreme Court of the Province on questions of law, fact, or both. The Federal jurisdiction allows an appeal by either the com plainant or defendant to a review tribunal, if the origi nal tribunal had fewer than three members.10 In practice, the emphasis has been to concentrate on ef fectuating a satisfactory settlement rather than legal guilt.11 Analysis of cases Methodology. In order to study the incidence of preand post-employment sex discrimination, 52 board of inquiry and court cases were analyzed.12 These were all the cases that were adjudicated by boards of inquiry, and in some cases by courts, from 1975 to 1980, in Al berta, British Columbia, New Brunswick, Nova Scotia, Ontario, and Saskatchewan. (To our knowledge, no rel evant cases were decided by either boards or courts in other jurisdictions.) Although the bulk of a typical human rights commis sion’s workload consists of cases that do not go to a board, the data on, for example, conciliated cases or cases under investigation are confidential and, therefore, are not analyzed. The cases covered a cross-section of industries and in stitutions and were not confined to blue-collar or lower level white-collar workers; professional, technical, and to some extent administrative and managerial workers were also involved. A majority of the cases involved secretarial workers (38 percent) and unskilled laborers (21 percent). Pre- and post-employment discrimination cases. Pre-em ployment discrimination cases decided by selected boards of inquiry include allegations regarding male-fe male job stereotypes, height and weight restrictions, re fusal to interview female applicants, sex not being a bona-fide occupational requirement, discriminatory job interviews, and discriminatory job advertisement. Decisions of boards of inquiry have prohibited such pre-employment barriers as height and weight require ments for a police constable’s job,13and for jobs requir ing physical strength;14discriminatory or sex stereotyped questions in job interviews;15and employers’ misconcep tions and stereotypes about traditionally male or female jobs such as not considering: a woman for the job of a cost accountant trainee,16 a man for the position of a copywriter,17 a woman as a rental clerk for a rental truck agency,18 and a woman for heavy-duty janitorial work.19 0 Digitized 4for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis A bona-fide occupational qualification exemption with respect to sex discrimination has been very narrowly construed by the boards. Employers’ arguments such as: work being too strenuous for a woman,20 customer pref erence for service from either a man or a woman,21 res taurant atmosphere is created by having all female waitresses,22 lack of restroom facilities for women,23 and male-dominated and remote worksite,24 have been reject ed by boards of inquiry in several jurisdictions. Post-employment discrimination cases deal with casu al workers denied full-time jobs; promotion; dismissal; reemployment; pregnancy; and sexual harassment. Casual to permanent employment. At least three boards of inquiry in Saskatchewan,25 New Brunswick,26 and On tario27 have dealt with complaints from women regard ing their attempt to switch from part- to full-time permanent jobs with the same employer. In these cases, the boards of inquiry held against the employers for de nying women permanent positions because of their sex. Pregnancy. In British Columbia, the “reasonable cause” provision of the Human Rights Code has had a major impact in broadening the scope of prohibited grounds of discrimination that otherwise would have been ex cluded.28 In one case, a British Columbia board of in quiry ruled that a woman who was fired from her job as a reservation clerk, when she told her employer that she was pregnant, had been discriminated against.29 In another case, a board of inquiry allowed sick leave ben efits to teachers absent from employment for sickness caused or aggravated by pregnancy, under the “reason able cause” provision.30 Sexual harassment. In a precedent-setting decision, an Ontario board of inquiry declared in August 1980 that sexual harassment is discrimination based on sex, ac cording to section 4(1) of the Human Rights Code. In this case, Anna Korchzak and Cherie Bell v. Ernest Lada and the Flaming Steer House Tavern, Inc., the complain ants had alleged that they had been sexually harassed by their employer, the owner of the restaurant. Al though the complainants lost, Board Chairman Owen Shime declared that “ . . . there is no reason why the law, which reaches into the work place so as to protect the work environment from physical or chemical pollu tion or extremes of temperature, ought not to protect employees from negative psychological and mental ef fects where adverse gender-directed conduct emanating from a management hierarchy may reasonably be con strued to be a condition of employment.” Thus, sex as a prohibited ground of discrimination includes sexual ha rassment where because of a worker’s sex some term or condition of employment is modified by the sexual ha rassment.31 Indirect or systemic discrimination. In 7 of the 52 cases, systemic discrimination was found. An analysis of these cases revealed that the approach adopted in the Griggs case, which was previously mentioned, has now been widely emulated in Canada; malice or intent to discrim inate is no longer a relevant factor. For example, in a case involving a female applicant, the board decided that the Commission’s minimum height requirement of 5 feet, 10 inches “virtually eliminates women as police constables,” as only 5 percent of Canadian women are that tall.32 Remedies ordered. In most cases in which discrimination was found and that went before a board of inquiry, more than one remedy was ordered. The most frequently given one was compensation for lost wages; the other remedies (in order of frequency) were orders to employers to: • display the relevant human rights code in predomi nant places in employer premises; • stop their unlawful conduct; • compensate for general damages; • compensate for expenses incurred by the complain ant; • compensate for pain and humiliation suffered by the complainant; • reinstate the complainant; • send a letter of apology to the complainant; • offer employment or interview at the next available opening; • have the relevant human rights commission conduct a human rights workshop for company executives; • amend application form or other selection tools, or both; • send a letter of apology to the relevant human rights commission; and • provide separate facilities for women. Conclusions The cases discussed in this report seem to indicate that entry and training requirements should be carefully established and maintained only if they are necessary prerequisites for employment and promotion. Therefore, employers should develop clear equal opportunities poli cies to ensure that they are not discriminating by default of appropriate action and to give themselves some safe guard in case their policies are challenged. For instance, organizations must issue explicit instructions regarding the employment interview through their personnel de partments. Interviews should be structured and only questions of direct relevance to the job should be asked. Organizations should keep in mind that, over the years, substantial evidence of validity has accumulated for many of the predictors. When comparing employ ment tests, ability tests and work sample tests— relative https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis to personality and interest tests— have proved the most valid. References, recommendations, and interviews usu ally have been found to be less valid as predictors of job success.33 Choices of predictors to be used in staffing systems should be governed by the nature of the job, and the validity of the predictors. Staffing systems can be improved considerably by standardization (to obtain reliable information), and by the validation process. Emerging research evidence seems to indicate that va lidity of tests need not be specific to the situation.34 There would appear to be three broad types of human resource policies which might be used to assist minority workers.35 First, taking labor supply and demand as giv en, one might attempt to make the labor market operate more efficiently by means of placement activities, worker counseling, and labor mobility or related measures, which would be appropriate regardless of the labor mar ket structure. Second, one might attempt to upgrade the supply of minority workers by means of greater invest ment in education and training. Third, following the labor market segmentation approach, one might recom mend solutions lying on the demand side rather than the supply side, with a requirement for government em ployment and expenditure policy to favor those in the secondary sector. This would include equal opportunity and affirmative action programs. Critics have suggested changes in both the scope and enforcement of equal opportunity legislation in Canada in order to improve its effectiveness. Instead of the caseby-case approach adopted by most human rights com missions, class action suits, routine investigation of firms,36and contract compliance have been advocated. Equal opportunity legislation may be a necessary condition for the elimination of sexual inequality. But legal approaches are limited because they operate only on the demand side of the problem (that is, the employ er side) and do little to change supply (that is, educa tion and training). Moreover, the existing empirical evidence points to only a limited impact of such legisla tion; the small number of complaints filed is apparently because of ignorance of legislation, lack of resources, and fear of employer reprisals.37 However, these and other cases do have an educational effect and may have served to enhance public awareness of the need to pro vide equality of opportunity. □ ------FOOTNOTES---------' In January 1982, women accounted for more than 40 percent of the Canadian labor force. By the year 2000, the labor force participa tion rate of women is expected to approach that of men. See Carole Swan, Women in the Canadian Labour Market (Ottawa, Ontario, Em ployment and Immigration Commission, July 1981). Naresh C. Agarwal, “Pay discrimination: Evidence, policies and issues, in Harish C. Jain and Peter J. Sloane, Equal Employment Is sues: Race and Sex Discrimination in the USA, Canada and Britain (New York, Praeger Publishers, 1981). 41 MONTHLY LABOR REVIEW October 1982 • Foreign Labor Developments Harish C. Jain, “Employment and pay discrimination in Canada: Theories, evidence and policies,” in John Anderson and Morley Gunderson, eds., Union-Management Relations in Canada (Toronto and Reading, Mass., Addison-Wesley, 1982). 4 Harish C. Jain, Ibid. Also see Naresh C. Agarwal, “Pay discrimi nation.” 5Ibid. 6Ibid. 7Harish C. Jain, “Race and sex discrimination in Canada,” Rela tions Industrielles, forthcoming. 8Ibid. 9In this case, the Court struck down educational requirements and employment tests, stating that these requirements could not be justi fied on the grounds of business necessity because they were not valid or related to job performance, and they had adverse impact because they screened out a greater proportion of blacks than whites. Howev er, if business necessity could be proved, that is, if the educational and testing requirements that had disproportionate or adverse impact on minorities were related to job performance, then the practice was not prohibited. 10Harish C. Jain, “Employment and pay discrimination.” " Daniel G. Hill, “The Role of the Human Rights Commission: The Ontario Experience,” University of Toronto Law Journal, Vol. 19, 1979, pp. 390-401. 17 Harish C. Jain, “Race and sex discrimination.” " Ann Colfer v. Ottawa Board of Commissioners o f Police, 1978, an Ontario board of inquiry decision. 14 Kathleen Grafe v. Sechelt Building Supplies (1971) Ltd., a British Columbia board of inquiry. ''K erry Segrave v. Zeller's Ltd., 1975, an Ontario board of inquiry decision. 16Stairs v. Maritime Cooperative Services Ltd., 1975, a New Bruns wick board of inquiry decision. 11 Francis Perry v. Robert Simpsons Ltd., 1976, a Nova Scotia board of inquiry decision. 18 Betty-Ann Shack v. London Drive-Ur-Self Ltd., 1974, an Ontario board of inquiry decision. " E. Garnett v. Kompleat Industries Ltd., 1979, a British Columbia board of inquiry decision. 20Betty-Ann Shack. Similarly, in the David J. Foreman et al v. Via Rail Canada Inc., 1980, a Federal case, the tribunal held that Via’s acuity standards were not based on a bona-fide occupational require ment because Via had failed to justify the standards. This was not a sex discrimination case; however, it is an important bona-fide occupa tional case. 21 Donald J. Berry v. The Manor Inn, 1980, a Nova Scotia board of inquiry decision. 12 Kesterton v. Spinning Wheel Restaurant, 1975, a British Columbia board of inquiry decision. 23 Jean Tharp v. Lornex Mining, 1975, a British Columbia board of inquiry decision. 24Ibid. Gail Oliver v. Her Majesty the Queen in right of Saskatchewan as represented by the Minister o f Highways and Transportation o f Sas Digitized 42 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis katchewan, 1976, a Saskatchewan Human Rights Commission formal inquiry decision. 26Shirley Naugler v. The New Brunswick Liquor Corporation, 1976, a New Brunswick board of inquiry decision. 27Hetty Hendry v. L.C.B.O., 1980, an Ontario board of inquiry deci sion. 28 Bill Black, “ ‘Reasonable cause’ in Human Rights Legislation,” Labour Research Bulletin, Vol. 9, February 1981. 29H.W. v. Riviera Reservations, 1976, a British Columbia board of inquiry decision. 30Kerrance Gibbs and Surrey Teachers Association v. Board of School Trustees School District # 3 6 (Surrey, B.C.), 1979, a British Columbia board of inquiry decision. 31Anna Korchzak and Cherie Bell v. Ernest Lada and the Flaming Steer Steak House Tavern Inc., 1980, an Ontario board of inquiry de cision. 32Ann Colfer v. Ottawa Board of Commissioners of Police, 1978, an Ontario board of inquiry decision. 33 Herbert G. Heneman III, Donald P. Schwab, John A. Fossum, and Lee D. Dyer, Personnel/Human Resource Management (Homewood, 111., Richard D. Irwin, 1980). 34 Frank L. Schmidt and John E. Hunter, “Development of a gener al solution to the problem of validity generalization,” Journal o f Ap plied Psychology, Vol. 62, October 1977, pp. 529-40. Also see, Marvin D. Dunnette and Walter C. Borman, “Personnel Selection and Classi fication Systems,” Annual Review of Psychology, Vol. 30, 1979, pp. A ll-525', Frank L. Schmidt, John E. Hunter, Robert C. McKenzie and Tressie W. Muldrow, “Impact of valid selection procedures on work-force productivity,” Journal of Applied Psychology, Vol. 64, De cember 1979, pp. 609-26; and Mary L. Tenopyr, “Trifling he stands,” Personnel Psychology, Vol. 34, Spring 1981, pp. 1-17. 35 Harish C. Jain and Peter J. Sloane, Equal Employment Issues. 36 Apparently, routine investigation of firms does bring increased backpay settlements. For instance, 157 investigations and routine au dits under Ontario’s equal pay regulations resulted in $284,000 of sal ary increases and backpay settlements for female employees over a 10-month period, April 1980 to January 1981. Thirty-six employers were found guilty in cases involving 134 women. The beefed-up in spection procedures by the Ministry of Labour were made possible by the hiring of 11 officials who were added to the Ministry’s equal pay monitoring team in Spring 1980. See Globe and Mail, Feb. 27, 1981, p. B-8. A comparison of previous statistics highlights the role of rou tine audits in increasing backpay settlements. In 1979-80, nine em ployers were found guilty involving 44 employees and $56,212 in settlement; in 1978-79, eight employers involving 29 employees were found guilty and the settlement was $8,311; in 1977-78, nine employ ers involving 20 employees were found guilty and the settlement was $6,672.67. The exception to the rule was during 1976-77 when 29 em ployers and 452 employees were involved and the settlement was $535,966.02. However, during 1975-76, the settlement sum of $31,248.88 was in line with other years and involved 17 employers and 76 employees. These figures were provided by the Women’s Bu reau of the Ontario Ministry of Labour. 37The Status of Women in Canada (Ottawa, Ontario, Information Canada, 1970). M ajor Agreements Expiring Next M onth T h is list o f co lle c tiv e bargaining agreem en ts exp irin g in N ovem ber is based on con tracts on file in the B u reau ’s O ffic e o f W a g es and Industrial R ela tio n s. T he list includes agreem ents coverin g 1,000 w orkers or m ore. N u m b er of L ab or o r g a n iz a tio n 1 In d u stry E m p lo y e r and lo c a tio n w ork ers Allis-Chalmers Corp. (La Porte, I n d . ) ................................................................. Allis-Chalmers Corp. (West Allis, W is .).............................................................. A partm ent Building Owners and Managers Association of Chicago (Illinois) A rm strong Cork Co. (Lancaster, Pa.) ................................................................. Machinery ................................... Machinery ................................... Services ........................................ A uto W o r k e r s ........................................... A uto W o rk e rs ........................................... Service Employees ................................... 1,000 1,900 3,000 Miscellaneous manufacturing . . Rubber Workers ...................................... 2,000 Bendix A utolite Corp. (M ic h ig a n )......................................................................... Transportation equipment . . . . A uto W o r k e r s ........................................... 1,200 Carrier Corp. (Syracuse, N . Y . ) .............................................................................. Central States Area Tank Truck Agreement (Interstate)2 .............................. Chain and Independent Food Stores (Wisconsin)2 ........................................... Colgate-Palmolive Co. (Jersey City, N . J . ) ........................................................... Machinery ................................... Trucking ...................................... Retail trade ................................ C hem icals...................................... Sheet Metal Workers .............................. Teamsters (Ind.) ...................................... Food and Commercial W o r k e r s ........... Employees Association, Inc. of ColgatePalmolive Co. (Ind.) 3,250 15,000 2,300 1,200 Film Exchange Employees Agreement (Interstate)2 ........................................ Food Employers Council, Inc. (Los Angeles, Cal.) ........................................ A m u sem e n ts................................ Retail trade ................................ Theatrical Stage E m p lo y ee s................... Food and Commercial W o r k e r s ........... 1,500 6,500 General Telephone Co. of Indiana (In d ia n a )...................................................... G raphic A rts Association of Delaware Valley, Inc. (P ennsylvania)............. G reater Boston Hotel and M otor Inn Association (Boston, Mass.) ........... C om m unication ........................... Printing and publishing ........... H o t e l s ........................................... 1,550 1,200 3,000 Hotel and Motel Association of G reater St. Louis (St. Louis, Mo.) ........... H o t e l s ........................................... Electrical Workers (IBEW) ................... G raphic A r t s .............................................. Hotel Employees and Restaurant Employees Hotel Employees and Restaurant Employees IC I United States, Inc. (Charlestown, Ind.) Fabricated metal products Chemical W orkers ................................... 1,250 ...................................................... .. . 2,500 Londontown Corp. (I n te rsta te ).............................................................................. A p p a r e l........................................ Clothing and Textile W orkers ............. 1,950 Retail Distribution Agreement (San Diego, Cal.)2 ........................................... Retail trade ................................ Food and Commercial W o r k e r s ........... 1,200 United States Potters Association (I n te r s ta te )................................................... U SA IR (In te rsta te ).................................................................................................... United Aircraft Corp., P ratt and W hitney Aircraft Division, 4 agreements (Connecticut) Stone, clay, and glass products Air tra n s p o rta tio n ..................... Transportation equipment . . . . P o t t e r s ........................................................ Air Line Pilots ........................................ Machinists ................................................ 1,500 1,100 18,350 G o v e rn m en t a c tiv ity Pennsylvania: Pittsburgh Board of E d u c a tio n ................................................... ' Affiliated with A F L -C IO except where noted as independent (Ind.). 2Industry area (group of companies signing same contracts). https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis E d u c a tio n ...................................... L ab or o r g a n iz a tio n 1 American Federation of State, County and Municipal Employees 1,050 Developments in Industrial Relations Westinghouse workers to contribute to pensions Only minutes before a July 25 strike deadline, Wes tinghouse Electric Corp. and three electrical workers’ unions agreed on 3-year contracts that included a “con tributory” pension plan. In the 1979 negotiations, Westinghouse’s demand that workers begin financing part of their pensions resulted in a 7-week strike by the three unions and other union members of the Coordinated Bargaining Committee formed in 1965 to strengthen bargaining with Westinghouse and General Electric Co. Westinghouse maintained that partial financing of pen sions by employees was necessary to alleviate a compet itive cost advantage held by General Electric, which has had a contributory plan since the early 1950’s. The unions involved were the International Brother hood of Electrical Workers, the International Union of Electrical, Radio and Machine Workers, and the United Electrical Radio and Machine Workers. All three unions bargain with Westinghouse on a “national” basis for about 31,000 workers. A union official said the deci sion was not a “concession” and that the unions were not “philosophically opposed” to the concept if Wes tinghouse made several changes in its proposal. The unions’ negotiators also maintained that the Westinghouse contributory plan was better than that at General Electric. The Westinghouse plan requires employees to con tribute an amount equal to 3 percent of annual earnings in excess of $14,700, in contrast to the $12,000 thresh old at General Electric. Minimum monthly benefits were increased to a range of $14 to $17.50 a month (depending on preretirement average annual earnings), compared with a range of $12 to $17.50 at General Electric. In 1984, the range will rise to $14 to $19.50 at both companies. The preretirement average annual earn ings for Westinghouse retirees will be based on the last 3 years of work, compared with the last 5 years at Gen eral Electric. All Westinghouse workers were also given “Developments in Industrial Relations” is prepared by George Ruben of the Division of Developments in Labor-Management Relations, Bureau of Labor Statistics, and is largely based on information from secondary sources. 4 FRASER Digitized 4for https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis the option of staying in the existing company-financed plan, with the benefit rate remaining at $ 13 a month. The pension changes negotiated by the three electrical unions (and subsequently accepted by the other Coordi nated Bargaining Committee unions for 9,OCX) additional workers) were identical to those the Federation of Westinghouse Independent Salaried Unions negotiated in July for 11,000 employees. The Federation had already agreed to a contributory pension plan in its 1979 settle ment. Except for the pension differences, all of the Westinghouse contracts provided for essentially the same wage, benefit, and job security terms as at General Electric (see Monthly Labor Review, September 1982, 44-45). Steel industry update There were several occurrences in the financially pressed steel industry. The United Steelworkers rejected an employer proposal for labor-cost consessions and ef forts to end alleged “dumping” of foreign steel in the United States continued with no clear outcome in sight. In announcing the rejection of the industry’s consession proposals and the termination of negotiations, Steelworkers President Lloyd McBride said the bargain ers “have spent a great deal of time trying to find an swers to our mutual problems and we simply have failed.” He said the talks with the eight Coordinating Committee Steel Companies, which generally set the bargaining pattern for other producers, had floundered because the employers’ final proposal “went too far” by indicating “if you can’t accept that [the proposals], there’s no deal.” McBride contended that the proposals called for much greater sacrifices than the revised con tracts the Auto Workers negotiated with Ford Motor Co. and General Motors Corp. The unanimous decision by the union’s Basic Steel Industry Conference (which consists of 400 local union officials) drew a bitter response from J. Bruce Johnston, U.S. Steel Corp. vice president and chief industry bar gainer. Johnston said that the union’s refusal to accept wage and benefit cuts suggests to unemployed steel workers that their problems will be solved by a recov ery in steel order volume, when in fact, it is “their ever- increasing wage costs [that] are pulling against any sustained recovery for domestic steel.” The rejected proposal would have superseded the re maining year of the current 3-year contract and would have terminated on August 1, 1985. It called for a freeze on wages; suspension of automatic quarterly costof-living adjustments; elimination of extended vacations; a 50-cent-an-hour increase in employer financing of Supplemental Unemployment Benefits; guaranteed dura tions of benefit payments to laid-off workers with 10 years of service; establishment of stock ownership and individual retirement accounts; and a possible contract reopening linked to the level of steel production. McBride said the parties were not considering a re newal of the Experimental Negotiating Agreement. This opens the possibility of an industry strike if the parties are unable to agree on a new wage-and-benefit contract in 1983. The Experimental Negotiating Agreement, which was introduced in 1973, essentially banned industrywide strikes at the termination of agreements in exchange for an “economic floor” under wage-and bene fit settlements. Meanwhile, Secretary of Commerce Malcolm Baldrige announced that the Reagan Administration would not reopen negotiations with six European nations to gain import limitations. The parties had reached agreement on limits, but the accord was rejected by the seven do mestic producers that had filed the unfair trade charges in January against South Africa and Brazil, as well as the European countries. The producers had charged that some nations were unfairly subsidizing steel pro duced for export to the United States. Baldrige said a resumption of talks would not be fruitful because “there comes a time when both sides say enough is enough.” He maintained that U.S. negoti ators had gained all the import restrictions the domestic companies had sought, but the U.S. companies later de cided they wanted lower import quotas. In another aspect of the controversy, the Department of Commerce announced a preliminary finding that the steel products from the six countries were, in fact, being sold in the United States at unfairly low prices. As a re sult, importers of steel from these nations were required to begin posting bonds to assure payment of penalty duties that could be imposed when the department is sues a final ruling later in the year. it represents in the New York City area. The United Telegraph Workers accord provided for a reported 31.066-percent increase in wages and benefits over the term, including a 30-percent rise in pension rates. The wage portion of the package calls for in creases of 8 percent the first year, 7 percent the second, and 7.1 percent the third. With these increases, pay will average $10.43 an hour, according to the union. Other terms included additional pay increases for some job classifications, a new optical care plan, and a $50,000 increase in major medical coverage, to $ 200, 000 . Union mergers A 91,000-member Glass, Pottery, Plastics and Allied Workers union resulted from the merger of the Pottery Workers and the Glass Bottle Blowers unions. Speaking to a special convention of the Pottery Workers, union president James E. Hatfield said the move was neces sary to increase “unity and strength” in negotiations with employers. Hatfield will head the new organiza tion, and Pottery Workers’ President Lester H. Null will serve as assistant president. The 11,000-member Pottery Workers, which, like the Glass Blowers, traced its origins to the 1800’s, had been an autonomous af filiate of the Seafarers from 1976 to 1978. A 70,000-member Aluminum, Brick and Glass Work ers International Union resulted from the merger of the Aluminum, Brick and Clay Workers and the Glass and Ceramic Workers. Aluminum Workers President Law rence A. Holley will head the new union and will be assisted by Glass and Ceramic Workers President Jo seph Roman. Merger talks between the Steelworkers and the Insur ance Workers failed for the second time. The first round of consolidation talks ended in 1980, when the unions were unable to agree on a dues structure. This also was the main barrier to success in the recent talks. The exec utive board of the Insurance Workers rejected the pro posal because of concerns that the formula— 1.15 percent of 80 percent of the agents’ average earnings— would amount to $20 to $25 a month. Current monthly dues are $ 11 a month for the Insurance Workers and 2 hours of pay for the Steelworkers. AFL-CIO Executive Council holds summer session Western Union contract ends 90-minute strike A 90-minute strike against Western Union Telegraph Co. ended when the parent Western Union Corp. and the United Telegraph Workers agreed on a 3-year con tract. About 8,800 workers were involved. Later, the Communications Workers agreed to virtually identical terms for the 900 Western Union Telegraph employees https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis The summer session of the AFL-CIO Executive Council focused on the economy. In 1 of 16 policy statements, the council charged that Reagan Administration eco nomic actions were pushing “the lowest-paid workers into a frightening abyss of subpoverty” and they are in creasingly being joined “by workers with valuable, hard-won skills who previously had a respected place in 45 M ONTHLY LABOR REVIEW October 1982 • Developments in Industrial Relations the community.” Further, the council contended, the damage was being exacerbated by “deep budget cuts in social programs at the exact moment the recession makes them so needed.” In a move to strengthen workers’ role in the 1984 presidential campaign, the council decided that the Fed eration’s general board (which consists of officials from all the affiliated unions) will meet before the first politi cal primary to decide whether to endorse a candidate. In recent presidential campaigns, the member unions were not unified in their choice and entered the cam paign later, which reduced their role in the selection, ac cording to Federation officials. Federation President Lane Kirkland said that member unions will not be bound to back any candidate endorsed by the general board. In other actions, Kirkland announced formation of committees to examine the changing work force and the organizing outlook; develop and promote greater partic ipation by retirees in attaining labor’s objectives; and coordinate efforts to defeat the proposed constitutional amendment requiring a balanced Federal budget. Maintenance of Way Employees convene Delegates to the quadrennial convention of the Main tenance of Way Employees approved a plan that could lead either to an autonomous division or a separate union for Canadian members. The 450 delegates, meet ing in Vancouver, British Columbia, unanimously en dorsed the proposal in a voice vote. The delegates also amended the constitution to provide for the U.S. vice president and executive board members to be elected by delegates from their region, rather than by all U.S. dele gates. In other affairs, Ole M. Berge was elected to an other term as president of the 120,000 member union, and Geoffrey N. Zeh, the union’s general counsel and research director, defeated incumbent B.L. Sorah for the vice presidency. Electrical workers in New York get raises About 7,500 workers were covered by a 2-year con tract negotiated between the International Brotherhood of Electrical Workers and the Niagara Mohawk Power Co. of Syracuse, N.Y. Wages increased by 9.5 percent on June 1, and will rise an additional 9 percent on June 1, 1983. New employees will be paid $1 an hour less than the current starting rate. Prior to the settlement, pay averaged $11.19 an hour for the 1,900 clerical workers and $11.48 for other workers. Other terms included a raise in normal pensions, which will be financed by increasing the number of years used in calculating career average annual salary; $300,000 major medical coverage, instead of $200,000; Digitized 46 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis free eye examinations every 2 years for 500 customer service representatives who use video display terminals regularly; changes in work schedules, including one that requires some employees to work as late as 9 p.m. to read the meters of customers who are not home during usual business hours; and a raise (to $20) in the bonus paid to employees who discover a theft of service. Accord ends 7-week casino strike Carpenters, painters, and maintenance workers at three hotel-casinos in Atlantic City, N.J., approved a 5-year settlement that was later extended to other hotelcasinos. The accord, which ended a 7-week strike at the Playboy, Bally’s Park Place, and Caesar’s Boardwalk Regency, called for a 7-percent pay increase in the first year, 8 percent in each of the next 3 years, and 7 per cent in the final year. The previous wage rate was $10 an hour for the employees, who are represented by the Operating Engineers, Carpenters, and Painters unions. The casinos also agreed to pay 25 cents an hour into an annuity fund for the employees during the last 6 months of the contracts. The money will be distributed at retirement, transfer out of the local union, or death. Wages of Oregon State employees frozen The State of Oregon, which has been experiencing budget problems because of the economy and, in partic ular, the severe cutbacks in its lumber and wood prod ucts industry, received some aid when State employees agreed to give up $20 million in wages. The Oregon Public Employees Union, which represents half of the workers, agreed to a wage freeze for the fiscal year be ginning July 1. The union’s 17,000 members had been scheduled for pay increases of 3 percent on July 1 and November 1 of 1982 and March 1, 1983 under their current 2-year contract, negotiated in 1981. In exchange for the freeze, the workers will receive 6 additional paid vacation days during the 12 months. Instead of a pay freeze, the Teamsters agreed to re duce the paid workweek of State employees it represents to 37.5 hours, from 40. The pay increases and the 40-hour week will be re stored after July 1, 1983. The State also negotiated comparable concessions with 10 other unions. NLRB orders company to bargain with union In a departure from usual practice, the National La bor Relations Board ordered a company to bargain with a union even though the union was unable to show support by a majority of the workers. The board said the bargaining order was warranted because the firm, Conair Corp. of Edison, N.J., had engaged in “outra- geous and pervasive” conduct to counter an organizing campaign by Local 222 of the Ladies Garment Workers union. According to the board, the union had obtained au thorization cards from 46 percent of the 380 workers early in 1977, but Conair, a maker of hair and beauty care products, had then initiated a massive and unre lenting campaign to defeat the drive. Some of the illegal tactics cited by the board included threats to close the plant and move the operations to Hong Kong and threats that employee benefits would be terminated. Subsequently, the union struck, but was forced to end the walkout after 5 months because of continued coer cive tactics by the company. About 9 months after the start of the organizing drive, the union garnered only about one-third of the votes cast in a representation election held in December 1977. The board held that the order to bargain with Local 222 was necessary because Conair had “foreclosed any possibility of holding a fair representation election,” and therefore, “we find that a remedial bargaining order is the only way to restore to employees their statutory right to make a free and uncoerced determination whether they wish to be represented in collective bargaining by a labor organization. Anything short of a bargaining order would deny employees that right which has been the hallmark of national labor policy for nearly five decades.” In the majority opinion, several board members said that Conair’s conduct fell within the “exceptional” cate gory specified in the Supreme Court’s 1969 decision in Gissel Packing Co. In that ruling, the Court said that when an employer engages in flagrant violations that preclude a fair election, the board could issue a bargaining order “without need of inquiry into majority status on the basis of cards or otherwise.” Serious violations target of mine safety agency A change in mine safety and health regulations by the Department of Labor indicates it will concentrate on correcting serious violations by mine owners. A spokesman for the Department’s Mine Safety and Health Administration said the agency will seek greater https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis penalties for operators who are “found to be negligent” or who do not correct violations, but the agency will now propose only a $20 fine for minor violations. Previously, all penalties were set through a lengthy pro cess based on six criteria. As before, penalties require the approval of the independent Mine Safety and Health Review Commission. The Bituminous Coal Operators Association applaud ed the changes, saying that it will reduce paperwork for inspectors and allow everybody to concentrate on the more serious violations. Sam Church, president of the United Mine Workers, said he was disappointed with the reduced penalties for minor violations but noted that the Assistant Secretary of Labor for Mine Safety and Health had promised that the program would not be used by operators to circumvent the law. Employer with EEO plan guilty of bias In a 5 to 4 decision, the Supreme Court held that even an employer with a successful equal employment opportunity program can be guilty of discrimination in administrating parts of the program. The case arose when four black employees of the State of Connecticut’s Department of Income Maintenance complained that they failed to gain promotions because the written ex amination was biased against blacks. In their complaint, filed under provisions of title VII of the Civil Rights Act of 1964, the four employees said that blacks had passed the examination at only 68 percent of the rate for white candidates. In its response, the State contended that only the overall results of the program should be considered, noting that 23 percent of the blacks who passed the test were promoted, compared with only 13 percent of the whites who passed. However, the Court rejected the contention. Writing for the majority, Justice William J. Brennan said that the four blacks who failed the test and initiated the complaint did not get promotions, so the fact that other blacks did was not beneficial to the four, that “the prin cipal force of the statute is the protection of the individ ual employee, rather than the protection of the minority group as a whole.” □ 47 Book Reviews The ‘comparable worth’ conundrum Comparable Worth: Issues and Alternatives. Edited by E. Robert Livernash. Washington, Equal Employment Advisory Commission, 1980. 260 pp. Women, Work, and Wages: Equal Pay for Jobs o f Equal Value. Edited by Donald J. Treiman and Heidi I. Hartmann. Washington, National Academy Press, 1981. 136 pp. If the saying that timing is everything has any validi ty, then 1982 and its high level of unemployment is probably not an optimum time for action on the pay equity issue of comparable worth. It is, however, a good time to prepare for any future action. To do so, I strongly recommend that people of all persuasions on the issue— for, against, undecided, or unknowledgeable — use the two books in this review as their primers. Although each has a different outlook, both books agree on two main points. First, that the most generally accepted definition of comparable worth is equal pay for work of comparable (or equal) value; and second, that the comparable worth issue is an extension of the issues covered in the Equal Pay Act of 1963 and Title VII of the Civil Rights Act of 1964. In simple terms, the Equal Pay Act mandates equal pay for equal work without regard to sex, race, and other factors. It exempts any wage differential attribut able to systems of seniority, merit, quantity, or quality of production. Title VII prohibits employment discrimi nation with respect to pay and terms, conditions, or privileges of employment because of sex, race, and so forth, except when wage differentials are based on sys tems of seniority, merit, quantity, or quality of produc tion (the Bennett amendment). After some 15 years of litigation under these laws, many women’s groups began to lobby for stronger methods of dealing both with the male-female wage dif ferences that had not sufficiently improved and the seemingly intractable job segregation of women. Thus, in the late 1970’s, the comparable worth concept resur faced, having had a brief tenure during World War II, and earlier periods. (See the excellent historical back ground provided by Herbert R. Northrup in Compara ble Worth: Issues and Alternatives.) Digitized 48 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Knowing the sponsor of each book provides a good indication of the stand each takes. Comparable Worth: Issues and Alternatives was funded by a grant from the Business Roundtable and was published by the private, business-oriented Equal Employment Advisory Council. The book takes an employer-oriented approach and ar gues strenuously against comparable worth. Women, Work, and Wages: Equal Pay fo r Jobs o f Equal Value was funded by a grant from the Federal Government’s Equal Employment Opportunity Com mission and was published by the National Academy of Sciences. This book takes an employee-oriented ap proach, concluding that sex-based job evaluation and biases still exist and that a comparable worth mecha nism should be pursued to remedy the situation. E. Robert Livernash, Professor Emeritus of the Har vard School of Business, edited the Equal Employment Advisory Council’s book. He also wrote the introducto ry Overview, which is so overwhelmingly subjective and vitriolic, that this is one of the rare times I must recom mend reading an Overview last, more as a conclusion. Otherwise, I believe a considerable number of readers, especially women, may be deterred from reading the seven topical chapters, which for the most part, contain a great deal of valuable information. For example, Janet R. Bellace’s excellent chapter on “A Foreign Perspective” discusses the equal pay and comparable worth concept in 13 countries, beginning with ILO Convention 100 in 1951 and Article 19 of the Treaty of Rome in 1957. She points out that today there is hardly any uniformity in defining comparable worth and that in some countries the term is synony mous with equal pay. In his chapter on “Job Evaluation and Pay Setting,” Donald P. Schwab provides a thorough review of the current state of the art, its good points and deficiencies. He emphasizes the importance of external market con straints, such as regulations and unions, in the job eval uation process, as well as the role of internal key and nonkey jobs. Schwab concludes that “At present [1980] there is no mechanism for defensibly establishing com parable worth. Certainly, job evaluation does not do it.” About two-thirds of Herbert R. N orthrup’s chapter on “Wage Setting and Collective Bargaining” presents exceptionally interesting historical material on wage structure relationships and bargaining techniques be tween unions and management. The remaining third of the chapter contains a strongly worded case against government intervention and regulation in job evalua tion and pay-setting processes. In N orthrup’s words, “Perhaps the most pernicious aspect of the comparable worth theory is that it would establish a government agency as the final arbiter of wages.” Other chapters and authors are “The Emerging De bate,” by George T. Milkovich; “The Market System,” by George Hildebrand; “Statistical Biases in the Mea surement of Employment Discrimination,” by Harry V. Roberts; and “The Legal Framework,” by Robert E. Williams and Douglas S. McDowell. The Equal Employment Advisory Commission vol ume concludes that comparable worth has neither been operationally defined by its supporters, nor will it ever be, and that a nonarbitrary wage structure requires the use of traditional job evaluation procedures and market rate standards. “ . . . any attempted implementation of comparable worth would encounter substantial difficul ties and would have disruptive and undesirable conse quences.” A viable alternative is “ . . . the accelerated promotion of women, particularly within the managerial and professional hierarchy,” a course which “is being effectively pursued by many companies.” Upward mo bility programs for workers are seen as the most prom ising path employers can follow. The U.S. Equal Employment Opportunity Commis sion was established in 1965 to enforce Title VII of the Civil Rights Act. In 1977, the EEOC commissioned the National Academy of Sciences to produce a study on the issues involved in obtaining a measure of the com parable worth of jobs. An interim study, Job Evalu ation: An Analytical Review, was released in 1979. The final volume entitled Women, Work, and Wages: Equal Pay fo r Jobs o f Equal Value reflects the work of the 14-member Committee on Occupational Classification and Analysis. Chair of the committee, Anne R. Miller, Professor of Sociology, University of Pennsylvania, writes in the book’s Preface, “The format of the report reflects [the committee’s] consensus. A major portion of our early discussion focused on whether, in fact, the existing wage rate is a good approximation of the worth of a job. Our ultimate view, as described in chapter 3 and summa rized in chapter 5, is that the substantial influence of in stitutional and traditional arrangements makes it impossible to view current wage rates as set solely by the free play of neutral forces operating in an entirely open market, no m atter how attractive such a theoreti cal formulation may be. Our examination of the out comes— that is, the earnings differentials reviewed in chapter 2— and the processes— the arrangements by https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis which workers are allocated and wages are set, covered in chapter 3— led us to that judgment.” Despite the committee’s consensus on many impor tant issues, evidence of dissension can be found in the minority and supplementary reports at the end of the book and in some equivocating elsewhere in the book about the feasibility of measuring comparable worth scientifically. One committee member, Ernest McCor mick, Professor Emeritus of Industrial Psychology, Purdue University, filed a minority report on two counts. First, he disagreed with the committee about concluding that institutional and traditional arrange ments frequently are a major factor in setting current wages. Second, McCormick thought the final report should have included his views on job evaluation proce dures. Another committee member, Gus Tyler, Assistant President, International Ladies’ Garment Workers’ Union, filed a supplementary report, which was also en dorsed by member Mary C. Dunlap, lawyer and lectur er at the University of California, Berkeley. Their statement supports the committee’s report but says it is too narrowly focused to have a major impact on the root causes of pay differentials. Tyler and Dunlap be lieve broader issues are involved, including a maldistri bution of workers by sex, with women entering traditionally low paying, service sector jobs; indexing the minimum wage; regulating imports; and supple menting the traditional wage with a social wage (rent supplements, health care, social security, and so forth). Donald J. Trieman, Professor of Sociology, Universi ty of California, and Heidi I. Hartmann, Associate Ex ecutive Director, Assembly of Behavioral and Social Sciences, National Academy of Sciences, edited the book’s five chapters. Chapter 1 introduces the main points on which the committee focused, with wage dis crimination an overwhelming theme. The text states that women who are nurses, librarians, government em ployees, and clerical workers have assessed their skills and requirements of their jobs and have argued that their jobs are underpaid relative to jobs of comparable worth that are held by m en— that is, jobs requiring similar levels of skill, effort, and responsibility and simi lar working conditions. “ . . . the issue raised is that of pay equity in a labor market that is highly segregated by sex. While the opportunity to move out of segregat ed job categories may be welcome to many women, many others, who have invested considerable time in training for their jobs, demand wage adjustments in ‘women’s jobs’ rather than opportunities to work in other jobs.” Taken together, chapters 2, 3, and 4 present a superb roundup of statistics and research, including reviews of many studies of sex differences in earnings, empirical and theoretical frameworks for investigating earnings 49 M ONTHLY LABOR REVIEW October 1982 • Book Reviews inequalities, and the efficacy of various econometric modeling techniques in determining wage discrimina tion. Chapter 2, “Evidence Regarding Wage Differentials,” takes the reader through a thicket of statistics, studies, and theories in an effort to pinpoint the underlying rea sons for earnings inequalities by sex. Provided are ex ceptionally clear discussions about the explanatory value of human capital factors and about measures of segregation within occupations and firms. This chapter concludes that because wages may not reflect the entire reward paid for a job and that differ ences in the productivity of many workers are neither easily nor accurately measured, measures of wage dis crimination often cannot be obtained with a high degree of confidence. Chapter 3, “Wage Differentials and Institutional Fea tures of Labor Markets,” emphasizes the belief of insti tutional economics that while wage rates reflect the forces of supply and demand, supply and demand them selves are strongly affected by such institutional factors as union contracts, promotions from within firms, and segmentation of workers into noncompeting groups on the basis of sex, race, and so forth. This chapter’s discussion on job segregation is espe cially provocative, including the historical information on women’s underpayment in the labor markets of the 1930’s and World War II. Chapter 4, “Wage Adjustment Approaches to Over coming Discrimination,” reviews a variety of job evalua tion procedures that adjust wages through conventional factor point methods and statistical adjustments of pay rates to estimate and remove the effects of the sex, race, and ethnic composition of job categories. The committee concludes that, “Techniques used in job evaluation have not kept pace with developments in econometrics, psy chometrics, and sociological measurement. Serious atten tion should be given to the selection and measurement of compensable factors, the functional form of regression models, and assumptions about error structures, each of which can seriously affect the factor weights and the pay rates predicted by these models.” The conclusion of the National Academy of Sciences book (chapter 5) seems a bit schizophrenic; that is, the committee’s review of the evidence “strongly suggests that wage discrimination is widespread.” But “would the low-paying jobs be low-paying regardless of who held them, or are they low-paying jobs because of the sex, race, or ethnic composition of their incumbents?” In the committee’s judgment, a correct response recog nizes that both elements account for observed earnings differentials. I have not dwelled on the few misprints and errors in some of the tables and text in both volumes. Readers will discover these on their own. I believe, however, Digitized50 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis that they do not detract from the richness of the infor mation and opinions provided. We are indeed fortunate to have available two highly readable books with differ ent views on such a controversial subject. — E l iz a b e t h W a l d m a n Division of Labor Force Studies Bureau of Labor Statistics Retirement issues: required reading The Economics o f Aging: The Future o f Retirement. Edited by Malcolm H. Morrison. New York, Van Nostrand Reinhold Co., 1982. 294 pp. $24. This book focuses upon several key issues pertaining to our national retirement policies and programs. It es pecially emphasizes the areas of social security, other public and private retirement income programs, and employment policies and programs for older workers. All seven chapters are clearly written but some are a lit tle redundant. Several chapters contain both analytical and new material on the subjects covered. I believe that Economics o f Aging will become a major reference for those working in the broad fields of aging, income maintenance, and employment. The introductory chapter by Ruth Blank is a compre hensive discussion of the history of retirement as a social institution in preindustrial, industrial, and postindustrial America. It has a most complete set of references on re tirement practices and programs in the United States. The second chapter, by Elizabeth Meier and Barbara Boyle Torrey, is a scholarly discussion of future demo graphic changes and retirement age policy in the United States. This includes an interesting discussion of the likely consequences of an increasing dependency ratio that will see, in the next century, a smaller working population having to transfer more of its income to a larger retired population, especially after the year 2010. Meier and Torrey argue that some increase in the nor mal retirement age (65) seems economically and socially desirable. However, they do caution that any increase in the eligibility age for retirement benefits in social securi ty and other public and private retirement income pro grams should be planned thoughtfully and introduced gradually over a number of years. The next two chapters are major contributions to the social policy literature on retirement income issues. Chapter 3, by Eric Kingson, is an excellent discussion of current retirement trends, including both voluntary and involuntary early retirement trends, barriers to the continued employment of older workers, and an assess ment of both the voluntary and involuntary factors that govern why people leave the work force prior to age 65. The section on early retirement trends should be re- quired reading for any one who wishes to participate in the current and future debate regarding changing the re tirement age in the massive social security program. Kingson, whose major academic research is the area of early retirement practices and trends, cautions against raising the normal social security age past 65. He be lieves, and I agree, that such a move could greatly acer bate the economic position of involuntary early retirees, by, in effect, forcing them to retire on greatly actuarially reduced benefits than is now the case in social securi ty and various public and private retirement income programs. Chapter 4, by Gary Hendrick and James Storey of the Urban Institute, is a broad and incisive analysis of the characteristics and goals of social security, public employee retirement plans, private pensions, and tax subsidies. Hendrick’s and Storey’s major retirement pol icy questions: When should nondisabled workers retire? How should various retirement benefits be coordinated? What proportion of workers’ former earnings should be replaced by retirement? When should nondisabled workers retire? How should retirement benefits be ad justed for inflation or economic growth, and so on. I was impressed by the authors’ candor in addressing these and other questions in their discussion. The chap ter includes a section on specific policy responses to these questions. Their agenda would include, in part, a gradual rise in the retirement age in social security, im proving benefits to a 70- to 75-percent wage replace ment level for workers at or below the median wage, modifying the present “indexing” system of benefits, and eliminating the so-called “welfare” aspects of social security. It is not a tame agenda by any standard. The final three chapters concentrate on employment policies and programs for older persons. Chapter 5, by Charles Harris and Dorothy Bauer, discusses current employment programs and current and projected em ployment prospects for older workers. They foresee a somewhat optimistic future for the next generation of older workers— a debatable point. Their review of cur rent programs is inclusive but largely descriptive. I would have appreciated a much stronger analysis and critique of the role, or nonrole, of the U.S. Employment Service in aiding older workers. They do point out, however, that over the years there has been strong resis tance in the field of manpower and employment in serv ing the older worker population. Chapter 6, covering the subject of age discrimination and mandatory retirement, by Edward Howard, Nancy Peavy, and Lauren Selden, is a superior piece of policy analysis and scholarship. They discuss, in depth, the evolution and implementation of the Age Discrimina tion in Employment Act of 1967 and 1978. Their sec tion on the issues and problems that have been associated with the enforcement of this act is excellent. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis I also liked their description of the dynamics of the leg islative process associated with the 1978 law. The book concludes with an interesting discussion by Malcolm Morrison on the need for a broader range of alternative work patterns and more flexible retirement options and a brief summary. Morrison is disturbed over, and raises several objections to, the prevalent “lin ear life pattern” of education, work, and retirement in our society. He believes such a pattern is dysfunctional and contributes to various employment problems of both younger and older workers. He suggests and rec ommends that a number of employment and retirement options be introduced into the work force. These would include reduced workweek schedules prior to retire ment; extra vacation time in the years prior to retire ment, reduced hours of work, job transfer programs, and other innovations being experimented with current ly in the Scandinavian countries, West Germany, and France. — W il l ia m D . B e c h il l Chairman, Social Administration Concentration School of Social Work and Community Planning University of Maryland Book notes Youth Without Work, Three Countries Approach the Problem. By Shirley Williams and others. Paris, France, Organization for Economic Cooperation and Development, 1981. 255 pp. $15, OECD Publi cations and Information Center, Washington, D.C. 20006. Employment among young people in many countries is hindered by traditional and rigid institutional atti tudes such as antipathy towards hiring young people, especially minorities; refusal to train young women in nontraditional occupations; and reluctance to allow vo cational training in school. This book analyzes the youth employment problem of three countries in the Organization for Economic Coop eration and Development ( o e c d ): Denmark, West Ger many, and the United States. It also analyzes their educational and training policies and provides recom mendations. In Denmark, unemployment among persons 18 to 25 years of age was much higher than for those under 18 years of age. A high guaranteed minimum wage for workers 18 years of age and over and highly regulated collective agreements between employers and unions have affected youth employment and added to labor market segmentation. Of all OECD countries, the Federal Republic of Ger many has the most elaborate transition system from 51 M ONTHLY LABOR REVIEW October 1982 • Book Renews school to work. The author maintains, however, that West Germany underestimates the unemployment mea surement of their youngsters by including them in the labor force figure (denominator) and excluding them from the unemployed figure (numerator) if they are seeking an apprenticeship. The United States created 12 million jobs in the pub lic and private sectors during the 1970’s, but an in creased number of middle-aged women returned to the labor force and filled over 7 million jobs. Unemploy ment among young people remained high. The authors advocate expansion of apprenticeships and other train ing programs to enlarge the supply of skilled labor. Company Productivity: Measurement for Improvement. By Irving H. Siegel. Kalamazoo, Mich., W. E. Up john Institute for Employment Research, 1980. 88 pp. $3.50, paper. American businessmen have become more concerned with improvement of national productivity performance, which is generally recognized as essential for countering inflation and preserving jobs and living standards. Irving H. Siegel maintains that companies can inex pensively improve their productivity performance by adoption and use of a system for measuring it. He of fers a practical application of measurement techniques and notes a number of specific ways in which a system can improve organizational performance. Siegel points out that productivity monitoring may help a company anticipate and locate operational anomalies and take corrective steps and appraise the effectiveness of such remedial action. Working-Class Life “The American Standard” in Compar ative Perspective, 1899-1913. By Peter R. Shergold. Pittsburgh, University of Pittsburgh Press, 1982. 306 pp. $21.95. In his provocative work, Peter R. Shergold compiles extensive data on the standards of living in Pittsburgh and Birmingham in the first decade of the century. Min ing the Pittsburgh Survey, various bulletins and reports of the U.S. Bureau of Labor, reports of the British Board of Trade, and many other sources, Shergold de velops substantial materials on wages, hours, diet, food prices, rents, fuel, and clothing costs, as well as labor force participation by women and children. His an nounced goal is to examine the thesis that high wages gave the American worker a high standard of living, thus encouraging a conservative “business” unionism rather than a revolutionary labor movement. Indeed, Shergold finds that the skilled worker in Pittsburgh did Digitized 52 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis earn higher wages than his counterpart in Birmingham. At the same time, however, the unskilled earned about the same, and, in fact, the Birmingham laborer enjoyed more leisure time and greater security against unem ployment. Shergold acknowledges the influence on his work of Alan Dawley, David Brody, and Herbert Gutman, radi cal American labor historians. Ironically, his findings seem to contradict their working-class ideology. Indeed, Shergold emphasizes the wide range of wage rates found in Pittsburgh, a structure reinforced by ethnic and ra cial prejudice: “American workers found it profoundly difficult to perceive their very diverse lifestyles as the product of a common exploitation.” The book leaves many questions unanswered. Indeed, the author poses a number of topics for further study. And, he seems at times overwhelmed by the discussion of methodology. Yet, Shergold shows the value to labor history of detailed economic analysis, and one might wish for more such investigation rather than the ideo logical debates frequently encountered in the field. Steelmasters and Labor Reform, 1886-1923. By Gerald G. Eggert. Pittsburgh, University of Pittsburgh Press, 1981. 212 pp. $17.95. Formation of the U.S. Steel Corporation in 1901 symbolized the technological, managerial, and financial revolutions reshaping American economic institutions, and William Brown Dickson’s career spanned crucial, formative years. Beginning in 1881 as a manual laborer at Carnegie’s Homestead mill, Dickson left the Steel Corporation in 1911, resigning his position as first vice president. As an officer in the corporation, he had fought for two major reforms: safety programs and shorter hours. He carried his ideas into Midvale Steel and Ordnance, which he helped form in 1915 and which he served as vice president and treasurer until its demise in 1923, establishing an employee representation plan during World War I. Dickson’s high position and reform interests put him at the heart of the Steel Corporation’s deliberations, and Gerald G. Eggert provides an insider’s view of the struggles for power and control within the corporation, the establishment of labor policy, and the birth of “wel fare capitalism.” Indeed, Dickson’s difficulties at U.S. Steel and Midvale emphasized the inherent limitations of the “welfare” or “industrial betterment” movement. It is a useful story but rather limited. Eggert sets the context well in the introduction, but he relies on Dickson’s papers, Steel Corporation minutes, and Iron Age for the bulk of his sources, and he focuses on Dickson. The result is a book longer on anecdote than on interpretation and analysis of broader implications. Publications received Health and safety Agriculture and natural resources Aoyama, Hideyasu, “Workers’ Participation in Occupational Safety and Health in Japan,” International Labour Review, M arch-April 1982, pp. 207-16. “Gas Pipeliners,” Business Week, Aug. 2, 1982, pp. 44-48. Schultz, Theodore W., “On the Economics of Agricultural Production Over Time,” Economic Inquiry, January 1982, pp. 10-20. Stuart, Alexander, “Getting Lean and Mean in the Oil Busi ness,” Fortune, June 14, 1982, beginning on p. 162. “The Offshore Story,” Canada Today, May 1982, entire issue. Economic growth and development “Essays on Forecasting and Economic Policy,” National Insti tute Economic Review, May 1982, pp. 14-21. Hall, Peter, “Keys to Regional Growth,” Society, July-August 1982, pp. 48-52. Mathews, David, “The Future of the Sunbelt,” Society, JulyAugust 1982, pp. 63-65. Murrell, Peter, “The Comparative Structure of Growth in the Major Developed Capitalist N ations,” Southern Economic Journal, April 1982, pp. 985-95. Economic and social statistics Clarke, R .D ., “Worker Participation in Health and Safety in Canada,” International Labour Review, March-April 1982, pp. 199-206. Parmeggiani, L., “State of the Art: Recent Legislation on Workers’ Health and Safety,” International Labour Re view, M ay-June 1982, pp. 271-85. Industrial relations Bolger, T. Michael and David D. Wilmoth, “Dismissal of Tenured Faculty Members for Reasons of Financial Exi gency,” Marquette Law Review, Spring 1982, pp. 347-65. Bureau of National Affairs, Inc., Labor Relations in an Eco nomic Recession: Job Losses and Concession Bargaining. Washington, The Bureau of National Affairs, Inc., 1982, 98 pp. Cordova, E., “Workers’ Participation in Decisions Within En terprises: Recent Trends and Problems,” International Labour Review, March-April 1982, pp. 125-40. Birch, Dan E., Alan A. Rabin, Leland B. Yeager, “Inflation, Output, and Employment: Some Clarifications,” Econom ic Inquiry, April 1982, pp. 209-21. Gellens, Kathryn A., “Determining Supervisory Status and Bargaining Unit Composition in the Nursing Profession,” Labor Law Journal, June 1982, pp. 352-58. Caves, Douglas W„ Laurits R. Christensen, W. Erwin Diewert, “Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers,” The Economic Journal, March 1982, pp. 73-86. Hill, Herbert, The AFL-CIO and the Black Worker: TwentyFive Years After the Merger. Reprinted from The Journal of Intergroup Relations, Spring 1982, 79 pp. Madison, Wis., University of Wisconsin-Madison, Industrial Rela tions Research Institute (Reprint, 241), $1.50. Chamberlain, Gary, Panel Data. Cambridge, Mass., National Bureau of Economic Research, Inc., 1982, 118 pp. (NBER Working Paper Series, 913.) $1.50. Greenlees, John S., “Sample Truncation in FHA Data: Impli cations for Home Purchase Indexes,” Southern Economic Journal, April 1982, pp. 917-31. Hardy, Melissa A., “Social Policy and Determinants of Re tirement: A Longitudinal Analysis of Older White Males, 1969-75,” Social Forces, June 1982, pp. 1103-22. Janson, Philip and Jack K. Martin, “Job Satisfaction and Age: A Test of Two Views,” Social Forces, June 1982, pp. 1089-1102. Robey, Bryant and Cheryl Russell, “How America Is Chang ing: 1980 Census Trends Analyzed,” American Demo graphics, July-August 1982, pp. 16-27. U.S. Railroad Retirement Board, Statistical Supplement, 1980 Annual Report, U.S. Railroad Retirement Board. Chicago, 111., 1982, 142 pp. Education Industrial Relations Research Association, Proceedings of the Thirty-Fourth Annual Meeting, Held in Washington, De cember 28-30, 1981. Madison, Wis., Industrial Relations Research Association, 432 pp. $10. Jones, Ethel B., “U nion/N onunion Differentials: Membership or Coverage,” The Journal of Human Resources, Spring 1982, pp. 276-85. Kaufman, Bruce E., “The Determinants of Strikes in the Unit ed States, 1900-1977,” Industrial and Labor Relations Review, July 1982, pp. 473-90. Mauro, Martin J., “Strikes as a Result of Imperfect Informa tion,” Industrial and Labor Relations Review, July 1982, pp. 522-38. Paldam, Martin and Peder J. Pedersen, “The Macroeconomic Strike Model: A Study of Seventeen Countries, 19481975,” Industrial and Labor Relations Review, July 1982, pp. 504-21. Le Grand, Julian, “Distribution of Public Expenditure on Ed ucation,” Economica, February 1982, pp. 63-68. Reischl, Dennis K., “Applying Collyer in the Federal Sector: Past Due Remedy,” Labor Law Journal, June 1982, pp. 359-65. Mandt, Edward J., “The Failure of Business Education— and What to D o About It,” Management Review, August 1982, pp. 47-52. Skeels, Jack W., “The Economic and Organizational Basis of Early United States Strikes, 1900-1948,” Industrial and Labor Relations Review, July 1982, pp. 491-503. Rotter, Naomi G., “Images of Engineering and Liberal Arts Majors,” Journal of Vocational Behavior, April 1982, pp. 193-202. Stephens, Elvis C. and Donna Ledgerwood, “D o No-Strike Clauses Prohibit Sympathy Strikes?” Labor Law Journal, May 1982, pp. 204-305. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 53 M ONTHLY LABOR REVIEW October 1982 • Book Reviews Industry and government organization Aylen, Jonathan, “Plant Size and Efficiency in the Steel Indus try: An International Comparison,” N a tio n a l I n stitu te E c o n o m ic R eview , May 1982, pp. 65-76. Raines, John C., Lenora E. Berson, David M cl. Gracie, eds., C o m m u n ity a n d C a p ita l in C on flict: P la n t C losin gs a n d J o b L oss. Philadelphia, Penn., Temple University Press, 1982, 318 pp. $19.50. Ravallion, Martin, “The Welfare Economics of Local Public Spending: An Empirical Approach,” E co n o m ica , Febru ary 1982, pp. 49-61. International economics Chatterji, M. and M .R. Wickens, “Productivity, Factor Transfers and Economic Growth in the UK,” E co n o m ica , February 1982, pp. 21-38. Haynes, Stephen E. and Joe A. Stone, “Spurious Tests and Sign Reversals in International Economics, S o u th ern E c o n o m ic J o u rn a l, April 1982, pp. 868-76. “High-Technology Gateway,” B u sin ess W eek, Aug. 9, 1982, pp. 40-44. “How Well D o Economic Sanctions Work?” B u sin ess W eek, Aug. 2, 1982, pp. 56-57. Kuzmin, S.A., “Structural Change and Employment in Devel oping Countries,” I n te rn a tio n a l L a b o u r R eview , M ayJune 1982, pp. 315-26. “New Restrictions on World Trade,” B u sin ess W eek, July 19, 1982, pp. 118-22. Labor force Employment and Immigration Canada, A n n u a l R e p o r t o f th e C a n a d a E m p lo y m e n t a n d I m m ig r a tio n C o m m issio n a n d D e p a r tm e n t o f E m p lo y m e n t a n d Im m ig ra tio n , F isca l Y ea r 1 9 8 0 -1 9 8 1 . Ottawa, Ontario, Canada, 1982, 60 pp. Great Britain, Department of Employment, U n reg istered Y ou th U n e m p lo y m e n t a n d O u trea ch C a reers W ork: F in a l R ep o rt, P a r t Two, O u trea ch C a reers W ork. By K. Rob erts, Maria Noble and Jill Duggan. London, Great Brit ain Department of Employment, 1982, 38 pp. Lunbar, Robert, “Why Unemployment Will Hang High,” F ortu n e, June 14, 1982, beginning on p. 114. New Zealand, Department of Labour, “The Labour Market Situation,” L a b o u r a n d E m p lo y m e n t G azette, March 1982, pp. 2-7. Parsons, Donald O., “The Male Labour Force Participation Decision: Health, Reported Health, and Economic Incentives,” E co n o m ica , February 1982, pp. 81-91. Rimmer, Lesley and Jennie Popay, “The Family at Work,” E m p lo y m e n t G a zette, June 1982, pp. 255-60. Robson, Marie P., W o rk er P a rtic ip a tio n in th e U n ite d K in g d o m , Bradford, West Yorkshire, England, MCB Publica tions Ltd., 1982, 187 pp. $45.95. Sabel, Charles F., W o rk a n d P olitics: T h e D ivision o f L a b o r in In d u s tr y . New York, Cambridge, University Press, 1982, 304 pp., bibliography. $39.50. Schlottmann, Alan M. and Henry W. Herzog, Jr., “Home Economic Conditions and the Decision to Migrate: New Evidence for the U.S. Labor Force,” S o u th ern E c o n o m ic J o u rn a l, April 1982, pp. 950-61. Digitized for 54 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Smith, Lee, “From High Pay to N o Jobs in a GM Town,” F ortu n e, June 14, 1982, pp. 122-27. Stone, Joe A., “The Impact of Unemployment Compensation on the Occupation Decisions of Unemployed Workers,” T h e J o u r n a l o f H u m a n R esou rces, Spring 1982, pp. 299306. Management and organization theory “Black Managers: Caught in the M iddle,” P u b lic M a n a g em e n t, June 1982, pp. 2-23. Cason, Roger L., “Recognizing and Correcting Financial Fal lacies,” M a n a g e m e n t R eview , August 1982, pp. 17-22. Cohen, Allan R., “Crisis Management: How to Turn Disas ters Into Advantages,” M a n a g e m e n t R eview , August 1982, beginning on p. 27. Cosgrove, D on J. and Robert L. Dinerman, “There Is N o Motivational M agic,” M a n a g e m e n t R eview , August 1982, pp. 58-61. Duncan, Greg J., “Who Gets Ahead? And Who Gets Left Be hind?” A m e r ic a n D em o g ra p h ics, July-August 1982, pp. 38-41. Reitzfeld, Milton, C o n tro llin g T ra v el Costs. New York, Ameri can Management Associations, AM A Membership Publi cations Division, 1982, 60 pp. $7.50, AM A members; $10, nonmembers. Smith, Martin R., “How to D evelop— and K eep— A Solid Management Team,” M a n a g e m e n t R eview , August 1982, pp. 43-4-6. Stanton, Erwin S., R e a lity -C e n te r e d P eo p le M a n a g e m e n t: K e y to I m p r o v e d P ro d u c tiv ity . New York, AMACOM, A divi sion of American Management Associations, 1982, 150 pp. $14.95. Thompson, Philip C., Q u a lity C ircles: H o w to M a k e T h em W o rk in A m eric a . New York, AMACOM, A division of American Management Associations, 1982, 198 pp. $15.95. Monetary and fiscal policy Aim, James, “State Government Fiscal Choices and Individu al M obility,” S o u th ern E c o n o m ic J o u rn a l, April 1982, pp. 877-92. Coats, Warren L., Jr., “Interest Rate Consequences of Targeting M oney,” In te r n a tio n a l M o n e ta r y F u n d S t a f f P a p e rs, March 1982, pp. 31—47. Cornes, Richard and Avinash Dixit, “Comparative Effects of Devaluation and Import Controls on Domestic Prices,” E co n o m ica , February 1982, pp. 1-10. Cullison, William E., “Money, the Monetary Base, and N om i nal GNP,” E c o n o m ic R eview , Federal Reserve Bank of Richmond, M ay-June 1982, pp. 3-13. Folkerts-Landau, D.F.I., “Potential of External Financial Markets to Create Money, Credit, and Inflation,” I n te r n a tio n a l M o n e ta ry F u n d S t a f f P apers, March 1982, pp. 77-107. Overturf, Stephen Frank, “Risk, Transactions Charges, and the Market for Foreign Exchange Services,” E c o n o m ic I n qu iry, April 1982, pp. 291-302. “The Flat-Rate Tax: An Old Idea With New Appeal,” B u si ness W eek, July 19, 1982, pp. 130-31. Prices and living conditions Fama, Eugene F., “Inflation, Output, and M oney,” Journal of Business, April 1982, pp. 201-31. Haddock, David D., “Basing-Point Pricing: Competitive vs. Collusive Theories,” The American Economic Review, June 1982, pp. 289-306. Ono, Yoshiyasu, “Price Leadership: A Theoretical Analysis,” Economica, February 1982, pp. 11-20. Productivity and technological change Clark, Kim B. and Zvi Griliches, Productivity Growth and R&D at the Business Level: Results from the PIMS Data Base. Cambridge, Mass., National Bureau of Economic Research, Inc., 1982, 35 pp. (NBER Working Paper Se ries, 916), $1.50. “New Technology— New Challenges, Au Courant, Vol. 3, No. 1, 1982, pp. 10-11. New Zealand Department of Labour, “Technological Change in the Retailing Industries,” Labour and Employment Ga zette, March 1982, pp. 10-11. Rogers, Everett M. and Judith K. Larsen, “Silicon Valley Confronts Japan,” Society, July-August 1982, pp. 53-57. Rothwell, Shelia and David Davidson, “New Technology and Manpower Utiliation,” Employment Gazette, June 1982, pp. 252-54. Schatz, Gerald S., “Factory-Automation in Japan and in Western and Eastern Europe,” News Report, National Academy of Sciences, April 1982, pp. 3-11. U.S. Bureau of Labor Statistics, Labor and Material Require ments for Commercial Office Building Construction. Pre pared by Barbara Bingham, assisted by Maurice G. Wright. Washington, 1982, 50 pp. (Bulletin 2102.) $3.25, Superintendent of Documents, Washington 20402. ------------ Productivity Measures f o r Selected Industries, 1 9 5 4 —80. Washington, 1982, 218 pp. (Bulletin 2128.) Stock No. 029-001-02702-8. $7, Superintendent of Documents, Washington 20402. -------- Technology and Labor in Four Industries. Prepared by Gary E. Falwell, Richard W. Lyon, A. Harvey Belitsky, and Robert V. Critchlow, Washington, 1982, 46 pp. (Bul letin 2104.) For sale by the Superintendent of D ocu ments, Washington 20402. Social institutions and social change “Black Africa: A Generation After Independence,” Daedalus, Spring 1982, entire issue. Farley, Jennie, Academic Women and Employment Discrimina tion: A Critical Annotated Bibliography. Ithaca, N.Y., Cornell University, New York State School of Industrial Relations, ILR Publications, 1982, 112 pp. $8.95, paper. Ferber, Marianne A. and Carole A. Green, “Traditional or Re verse Sex Discrimination? A Case Study of a Large Public University,” Industrial and Labor Relations Review, July 1982, pp. 550-64. Hudson, Walter W., “Scientific Imperatives in Social Work Research and Practice,” Social Service Review, June 1982, pp. 246-58. Mahaffey, Maryann and John W. Hanks, eds. Practical Poli tics: Social Work and Political Responsibility. Washington, https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis National Association of Social Workers, Inc., 1982, 260 pp. $17.95, cloth; $14.95, paper. North, David S., Lawrence S. Lewin, Jennifer R. Wagner, Ka leidoscope: The Resettlement of Refugees in the United States by the Voluntary Agencies. Washington, New TransCentury Foundation, Lewin and Associates, and National Opinion Research Center, 1982, 139 pp. Rodriguez, Armando M„ “A Look at Equal Employment Op portunity,” Labor Law Journal, May 1982, pp. 259-64. Willborn, Steven L., “Insurance, Public Policy, and Employ ment Discrimination,” Minnesota Law Review, July 1982, pp. 1003-31. Westfall, Loy Glenn, “Immigrants in Society,” Americas, JulyAugust 1982, pp. 41-45. Wages and compensation Bartel, Ann P., “Wages, Nonwage Job Characteristics, and Labor M obility,” Industrial and Labor Relations Review, July 1982, pp. 578-89. Davies, R„ L. Hamill, S. Moylan, C. H. Smee, “Incomes In and Out of Work,” Employment Gazette, June 1982, pp. 237-43. Freedman, Sara M., Robert T. Keller, John R. Montanari, “The Compensation Program: Balancing Organizational and Employee Needs,” Compensation Review, Vol. 14, N o. 4, 1982, pp. 47-53. Gordon, Robert J., “Why U.S. Wage and Employment Be haviour Differs from that in Britain and Japan,” The Eco nomic Journal, March 1982, pp. 13-44. Greene, Robert J., “Issues in Salary Structure Design,” Com pensation Review, Vol. 14, No. 2, 1982, pp. 28-33. Markandya, A., “The Measurement of Earnings Mobility Among Occupational Groups,” Scottish Journal of Politi cal Economy, F ebruary 1982, pp. 7 5 -8 8 . O’Malley, Ian K., “Paid Educational Leave in Australia, Can ada, Ireland and the United Kingdom,” International Labour Review, March-April 1982, pp. 169-83. “Recent Trends in Unit Wage Costs,” Employment Gazette, June 1982, pp. 261-63. Schuster, Michael and Gary Florkowski, “Wage Incentive Plans and the Fair Labor Standards A ct,” Compensation Review, Vol. 14, No. 2, 1982, pp. 34—46. Swidinsky, Robert and David A. Wilton, “Minimum Wages, Wage Inflation, and the Relative Wage Structure,” The Journal o f Human Resources, Spring 1982, pp. 163-77. Treas, Judith, “U.S. Income Stratification: Bring Families Back In,” Sociology and Social Research, April 1982, pp. 231-51. U.S. Bureau of Labor Statistics, Area Wage Surveys: Seattle — Everett, Washington, Area, December 1981 (Bulletin 301070, 27 pp., $2.50); Selected Metropolitan Areas, 1980 (Bul letin 3000-72, 128 pp., $5.50); Jackson, Mississippi, Met ropolitan Area, January 1982 (Bulletin 3015-1, 40 pp., $2.75); Minneapolis-St. Paul, Minnesota — Wisconsin, Met ropolitan Area, January 1982 (Bulletin 3015-2, 41 pp., $3); Huntsville, Alabama, Metropolitan Area, February 1982 (Bulletin 3015-3, 25 pp., $2.50); Newark, New Jer sey, Metropolitan Area, January 1982 (Bulletin 3015—4, 40 pp., $2.75); York, Pennsylvania, Metropolitan Area, Febru55 MONTHLY LABOR REVIEW October 1982 • Book Reviews ary 1982 (Bulletin 3015-5, 28 pp., $2.50); Pittsburgh, Pennsylvania, Metropolitan Area, January 1982 (Bulletin 3015-6, 56 pp., $3.25); Davenport— Rock Island —Mo line, Iowa—Illinois, Metropolitan Area, February 1982 (Bulletin 3015-7, 27 pp., $2.50); Washington, D.C .— Maryland — Virginia, Metropolitan Area, March 1982 (Bulletin 3015-8, 39 pp., $2.75); Chicago, Illinois, Metro politan Area, March 1982 (Bulletin 3015-9, 42 pp., $4.50); San Jose, California, Metropolitan Area, March 1982 (Bulletin 3015-10, 34 pp., $4.25); St. Louis, Missouri —Illinois, Metropolitan Area, March 1982 (Bulletin 3015— 11, 53 pp., $4.75); San Francisco— Oakland, California, Metropolitan Area, March 1982 (Bulletin 3015-12, 39 pp., $4.50); Wichita, Kansas, Metropolitan Area, April 1982 (Bulletin 3015-13, 28 pp., $3.50); Paterson — Clifton— Passaic, New Jersey, Metropolitan Area, April 1982 (Bulle tin 3015-14, 28 pp., $3.50); Detroit, Michigan, Metropoli tan Area, April 1982 (Bulletin 3015-15, 53 pp., $4.75). Worcester, Massachusetts, Metropolitan Area, April 1982 (Bulletin 3015-16, 27 pp., $3.50); Atlanta, Georgia, Met ropolitan Area, May 1982 (Bulletin 3015-17, 40 pp., $4.50); Milwaukee, Wisconsin, Metropolitan Area, May 1982 (Bulletin 3015-18, 42 pp., $4.50); San Antonio, Tex as, Metropolitan Area, May 1982 (Bulletin 3015-19, 28 pp., $3.50); Houston, Texas, Metropolitan Area, May 1982 (Bulletin 3015-20, 40 pp., $4.50). Available from the Su perintendent of Documents, Washington 20402, GPO bookstores, or BLS regional offices. -------- Industry Wage Survey: Cigarette Manufacturing, June 1981. Prepared by Carl F. Prieser. Washington, 1982, 12 pp. (Bulletin 2132.) $3, Superintendent of Documents, Washington 20402. -------- Industry Wage Survey: Machinery Manufacturing, Jan uary 1981. Prepared by Carl F. Prieser. Washington, 1982, 97 pp. (Bulletin 2124.) Stock No. 02 9 -0 0 1 -0 2 7 0 2 8. $5, Superintendent of Documents, Washington 20402. -------- Industry Wage Survey: Textile Mills and Textile Dyeing and Finishing Plants, August 1980. Prepared by Carl Barsky. Washington, 1982, 135 pp. (Bulletin 2122.) Stock No. 029-001-02701-0. $6, Superintendent of Documents, Washington 20402. Wright, Michael, “Wage Policy and Wage Determination in 1981, ” The Journal of Industrial Relations, March 1982, pp. 69-76. Welfare programs and social insurance Beneton, Philippe, “Trends in the Social Policy Aims of the United States (1960-1980),” Labour and Society, OctoberDecember 1981, pp. 401-20. Coeffard, Alain, “Regulations Governing Social Security for Persons Moving Within the European Community,” In ternational Labour Review, M ay-June 1982, pp. 243-58. Drazga, Linda, Melinda Upp, Virginia Reno, “Low-Income Aged: Eligibility and Participation in SSI, Social Security Bulletin, May 1982, pp. 28-35. Duvall, Henrietta J., Karen W. Goudreau, Robert E. Marsh, “Aid to Families with Dependent Children: Characteris tics of Recipients in 1979,” Social Security Bulletin, April 1982, beginning on p. 3. Digitized56for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Erlenborn, John N., “A New Beginning on the Horizon for Pensions,” Labor Law Journal, June 1982, pp. 323-27. Grimaldi, Paul L., Medicaid Reimbursement of Nursing-Home Care. Washington, American Enterprise Institute for Public Policy Research, 1982, 194 pp. (AEI Studies in Health Policy, 333.) $15.95, cloth; $7.95, paper. Moles, Ricardo R., “Social Security for Migrant Workers in Latin America,” International Labour Review, M archApril 1982, pp. 155-68. Parker, Stanley, Work and Retirement. Winchester, Mass., Allen & Unwin, Inc., 1982, 203 pp., bibliography. $28.50, cloth; $9.95, paper. Perrin, Guy, “To Rationalize and Humanize: Two Priority Objectives for Social Security Reform,” Labour and Soci ety, October-December 1981, pp. 385-400. Rein, Mildred, “Work in Welfare: Past Failures and Future Strategies,” Social Service Review, June 1982, pp. 211-29. Schobel, Bruce D. and Steven F. McKay, “Characteristics of Newly Awarded Recipients of the Social Security Regular Minimum Benefit,” Social Security Bulletin, June 1982, pp. 11-19. U.S. Social Security Administration, “Social Security in Re view,” Social Security Bulletin, April 1982, pp. 1-2. ----------“The Bellmon Report,” Social Security Bulletin, May 1982, pp. 3-27. Sosin, Michael, “Emergency Assistance and Special Needs Programs in the AFDC System,” Social Service Review, June 1982, pp. 196-210. Trier, Adam, “The Nordic Social Security Convention,” Inter national Labour Review, M ay-June 1982, pp. 259-69. Warlick, Jennifer L., “Participation of the Aged in SSI,” The Journal of Human Resources, Spring 1982, pp. 236-60. Worker training and development Betcherman, Gordon, Meeting Skill Requirements: Report of the Human Resources Survey. Ottawa, Ontario, Economic Council of Canada, 1982, 91 pp. $6.95, Canada; $8.35, other countries. Available from Canadian Government Publishing Center, Supply and Services Canada, Ottawa. Burnim, M. L. and J. H. Cobbe, “Benefits and Costs of a CETA Public Service Employment Program,” Growth and Change, January 1982, pp. 9-18. Training: Public Personnel Management Journal, pp. 176-84. Cross, Michael, “Making a New Career During the Reces sion,” Employment Gazette, June 1982, pp. 233-36. Rosenfeld, Stuart, ed., Brake Shoes, Backhoes, and Balance Sheets: The Changing Vocational Education of Rural Women. Washington, Rural American Women, Inc., and the National Institute of Education, 1982, 145 pp. $15, institutions; $7, individuals. Stewart, Phyllis L. and Muriel G. Cantor, eds., Varieties of Work. Beverly Hills, Calif., Sage Publications, Inc., 1982, 311 pp. $25, cloth; $12.50, paper. “Taking on Young People,” Employment Gazette, June 1982, pp. 244—48. □ Current Labor Statistics N o te s o n C u rren t L a b o r S ta tis tic s ............................................................................................................................................................ S c h e d u le o f r e le a s e d a te s fo r m a jo r B L S E m p lo y m e n t d a ta fr o m s ta tis tic a l s e r ie s ......................................................................................... h o u s e h o ld s u r v e y . D e f in itio n s a n d n o te s 1. E m p loym ent statu s of noninstitu tion al population, selected years, 1950-81 2. E m ploym ent statu s by sex, age, and race, season ally adjusted 3. Selected em p loym en t indicators, season ally adjusted 4. Selected unem ploym ent indicators, season ally adjusted ....................................................................... 58 59 ............................................................................. 59 ...................................................................................................... 60 ........................................................................................................................... 61 .......................................................... , ....................................................... 62 ............................................................................................................... 63 5. U n em p lo y m en t rates, by sex and age, season ally adjusted 6. U n em p lo y ed persons, by reason for un em p loym en t, season ally adjusted 7. D uration o f u nem ploym ent, season ally adjusted E m p lo y m e n t, h o u r s , a n d e a r n in g s d a ta fr o m 58 ................................................................................... 63 .................................................................................................................................... 63 e s ta b lis h m e n t s u r v e y s . D e f in itio n s a n d n o te s . 64 ................................................................................................................................. 65 9. 10. 11. E m p loym ent by State ........................................................................................................................................................................................... E m p loym ent by industry d ivision and m ajor m anufacturing group, season ally adjusted ................................................. H ours and earnings, by industry division, selected years, 1950-81 65 66 67 8. E m p loym ent by industry, selected years, 1950-81 12. W eekly hours, by industry d ivision and m ajor m anufacturing group, season ally adjusted .............................................. 68 13. H ourly earnings, by industry division and m ajor m anufacturing group ................................................................................... 69 14. 15. H ourly Earnings Index, by industry division .......................................................................................................................................... W eekly earnings, by industry division and m ajor m anufacturing group ................................................................................... 69 70 U n e m p lo y m e n t in s u r a n c e d a ta . D e f in it io n s .................................................................................................................................... 16. U n em p lo y m en t insurance and em p loym en t service operations ......................................................................................................... 71 71 P r ic e d a ta . D e fin itio n s a n d n o te s ................................................................................................................................................................ 17. C onsum er Price Index, 1 967-81 ...................................................................................................................................................................... 18. C onsum er Price Index, U .S . city average, general sum m ary and selected item s .................................................................... 72 73 73 19. C onsum er Price Index, cross-classification o f region and popu lation size class 20. C onsum er Price Index, selected areas ....................................................................... 79 .......................................................................................................................................................... 21. Producer Price Indexes, by stage of processing 80 22. Producer Price Indexes, by co m m o d ity groupings 23. Producer Price Indexes, for special co m m o d ity groupings 24. Producer Price Indexes, by durability o f product 25. Producer Price Indexes for the o u tput o f selected SIC industries ....................................................................................................................................... ................................................................................................................................. 81 82 ............................................................................................................... 84 ................................................................................................................................. 84 .................................................................................................. 84 P r o d u c t i v i t y d a t a . D e f i n i t i o n s a n d n o t e s ............................................................................................................................................. 26. A n n u al in d exes o f p roductivity, h ourly com p en sation, unit co sts, and prices, selected years, 1950-81 ....................... 87 87 27. A n n u al changes in productivity, h ourly com p en sation, unit co sts, and prices, 1971-81 28. Quarterly indexes o f productivity, hourly com p en sation, unit costs, and prices, season ally adjusted 29. Percent change from preceding quarter and year in productivity, h ourly com p en sation , unit co sts, and prices ....................................................... ......................... . . W a g e a n d c o m p e n s a t i o n d a t a . D e f i n i t i o n s .......................................................................................................................................... 88 88 89 90 30. 31. 32. E m p loym ent C ost Index ..................................................................................................................................................................................... E m ploym ent C ost Index, w ages and salaries, by occu p ation and industry g r o u p .................................................................... E m p loym ent C ost Index, private nonfarm w orkers, by bargaining status, region, and area s i z e ..................................... 91 92 33. 34. W age and com p en sation change, m ajor co llective bargaining settlem en ts, 1977 to date ..................................................... Effective w age a d justm ents in co llectiv e bargaining un its covering 1,000 w orkers or m ore, 1977 to d a t e ................... 94 94 W o r k sto p p a g e d a ta . D e fin itio n 35. ...................................................................................................................................................................... W ork stop p ages in v o lv ing 1,000 w orkers or m ore, 1947 to d ate https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis ................................................................................................... 93 95 95 57 NOTES ON CURRENT LABOR STATISTICS This section of the R e v ie w presents the principal statistical se ries collected and calculated by the Bureau of Labor Statistics. A brief introduction to each group of tables provides defi nitions, notes on the data, sources, and other material usually found in footnotes. Readers who need additional information are invited to consult the BLS regional offices listed on the inside front cov er of this issue of the R eview . Some general notes applicable to several series are given below. S ea so n a l adjustm ent. Certain monthly and quarterly data are adjusted to eliminate the effect of such factors as climatic conditions, industry production schedules, opening and closing of schools, holiday buying periods, and vacation practices, which might otherwise mask short term movements of the statistical series. Tables containing these data are identified as “seasonally adjusted.” Seasonal effects are estimated on the basis of past experience. When new seasonal factors are com puted each year, revisions may affect seasonally adjusted data for sev eral preceding years. Seasonally adjusted labor force data in tables 2-7 were revised in the March 1982 issue of the Review to reflect experience through 1981. The original estimates also were revised to 1970 to reflect 1980 census population controls. Beginning in January 1980, the BLS introduced two major modifi cations in the seasonal adjustment methodology for labor force data. First, the data are being seasonally adjusted with a new procedure called X -ll/A R IM A , which was developed at Statistics Canada as an extension of the standard X -ll method. A detailed description of the procedure appears in The X - ll ARIMA Seasonal Adjustment Method by Estela Bee Dagum (Statistics Canada Catalogue No. 12-564E, Feb ruary 1980). The second change is that seasonal factors are now being calculated for use during the first 6 months of the year, rather than for the entire year, and then are calculated at mid-year for the July-December period. Revisions of historical data continue to be made only at the end of each calendar year. Annual revision of the seasonally adjusted payroll data shown in tables 10, 12, and 14 were made in August 1981 using the X -ll ARIM A seasonal adjustment methodology. New seasonal factors for productivity data in tables 28 and 29 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. A d justm en ts for price ch an ges. Some data are adjusted to eliminate the effect of 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 of $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 resulting values are described as “real,” “constant,” or “ 1967” dollars. A vaila b ility of inform ation. Data that supplement the tables in this section are published by the Bureau of Labor Statistics in a variety of sources. Press releases provide the latest statistical information published by the Bureau; the major recurring releases are published according to the schedule given below. The BLS Handbook o f Labor Statistics, Bulletin 2070, provides more detailed data and greater his torical coverage for most of the statistical series presented in the Monthly Labor Review. More information from the household and es tablishment surveys is provided in Employment and Earnings, a monthly publication of the Bureau. Historically, comparable informa tion from the establishment survey is published in two comprehensive data books— Employment and Earnings, United States and Employ ment and Earnings, States and Areas, and their annual supplements. More detailed information on wages and other aspects of collective bargaining appears in the monthly periodical, Current Wage Develop ments. More detailed price information is published each month in the periodicals, the CPI Detailed Report and Producer Prices and Price In dexes. Symbols p = preliminary. To improve the timeliness of some series, preliminary figures are issued based on representative but incomplete returns. r = revised. Generally, this revision reflects the availability of later data but may also reflect other adjustments, n.e.c. = not elsewhere classified. Schedule of release dates for major BLS statistical series Series Employment situation.......................................... Producer Price Index .................................. Consumer Price Index .......................................... Real earnings ...................................... Major collective bargaining settlements .................................. Productivity and costs: Nonfarm business and manufacturing ............................ Nonfinancial corporations ................................ 58 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Release date Period covered Release date Period covered MLR table number October 8 October 15 October 26 October 26 October 27 September September September September 1st 9 months November 5 November 16 November 23 November 23 October October October October 1-10 21-25 17-20 11-15 33-34 October 28 3rd quarter November 29 3rd quarter 26-29 EMPLOYMENT DATA FROM THE HOUSEHOLD SURVEY E m p l o y m e n t d a t a in this section are obtained from the Current Population Survey, a program of personal interviews conducted monthly by the Bureau of the Census for the Bureau of Labor Statistics. The sample consists of about 60,000 households selected to represent the U.S. population 16 years of age and older. Households are interviewed on a rotating basis, so that three-fourths of the sample is the same for any 2 consecutive months. those not classified as employed or unemployed; this group includes persons retired, those engaged in their own housework, those not working while attending school, those unable to work because of long-term illness, those discouraged from seeking work because of personal or job market factors, and those who are voluntarily idle. The n on institu tion al 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. F ull-tim e w orkers are those employed at least 35 hours a week; part-tim e w orkers are those who work fewer hours. Workers on part- Definitions E m p loyed persons are (1) those 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. 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. U n em p lo y ed 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 unem ploym ent rate represents the number unemployed as a percent of the civilian labor force. The civilian labor force consists of all employed or unemployed persons in the civilian noninstitutional population; the total labor fo rce includes military personnel. Persons not in the labor force are 1. time schedules for economic reasons (such as slack work, terminating or starting a job during the week, material shortages, or inability to find full-time work) are among those counted as being on full-time status, under the assumption that they would be working full time if conditions permitted. The survey classifies unemployed persons in full-time or part-time status by their reported preferences for full-time or part-time work. 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 comparability of historical data presented in table 1. A description of these adjustments and their effect on the various data series appear in the Explanatory Notes of Em ploym ent and Earnings. Data in tables 2-7 are seasonally adjusted, based on the seasonal experience through December 1981. Employment status of the noninstitutional population, 16 years and over, selected years, 1950-81 [Numbers in thousands] Total labor force Year Total non institutional population Civilian labor force Unemployed Employed Number Percent of population Total Total Percent of population Agriculture Nonagricultural industries Number Percent of labor force Not in labor force 1950 .................................... 1955 .................................... 1960 .................................... 106,645 112,732 119,759 63,858 68,072 72,142 59.9 60.4 60.2 62,208 65,023 69,628 58,918 62,170 65,778 55.2 55.1 54.9 7,160 6,450 5,458 51,758 55,722 60,318 3,288 2,852 3,852 5.3 4.4 5.5 42,787 44,660 47,617 1965 1966 1967 1968 1969 .................................... .................................... .................................... .................................... .................................... 129,236 131,180 133,319 135,562 137,841 77,178 78,893 80,793 82,272 84,240 59.7 60.1 60.6 60.7 61.1 74,455 75,770 77,347 78,737 80,734 71,088 72,895 74,372 75,920 77,902 55.0 55.6 55.8 56.0 56.5 4,361 3,979 3,844 3,817 3,606 66,726 68,915 70,527 72,103 74,296 3,366 2,875 2,975 2,817 2,832 4.5 3.8 3.8 3.6 3.5 52,058 52,288 52,527 53,291 53,602 1970 1971 1972 1973 1974 .................................... .................................... .................................... .................................... .................................... 140,272 143,033 146,574 149,423 152,349 85,959 87,198 89,484 91,756 94,179 61.3 61.0 61.1 61.4 61.8 82,771 84,382 87,034 89,429 91,949 78,678 79,367 82,153 85,064 86,794 56.1 55.5 56.0 56.9 57.0 3,463 3,394 3,484 3,470 3,515 75,215 75,972 78,669 81,594 83,279 4,093 5,016 4,882 4,365 5,156 4.9 5.9 5.6 4.9 5.6 54,315 55,834 57,091 57,667 58,171 1975 1976 1977 1978 1979 .................................... .................................... .................................... .................................... .................................... 155,333 158,294 161,166 164,027 166,951 95,955 98,302 101,142 104,368 107,050 61.8 62.1 62.8 63.6 64.1 93,775 96,158 99,009 102,251 104,962 85,846 88,752 92,017 96,048 98,824 55.3 56.1 57.1 58.6 59.2 3,408 3,331 3,283 3,387 3,347 82,438 85,421 88,734 92,661 95,477 7,929 7,406 6,991 6,202 6,137 8.5 7.7 7.1 6.1 5.8 59,377 59,991 60,025 59,659 59,900 1980 .................................... 1981 .................................... 169,848 172,272 109,042 110,812 64.2 64.3 106,940 108,670 99,303 100,397 58.5 58.3 3,364 3,368 95,938 97,030 7,637 8,273 7.1 7.6 60,806 61,460 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 59 MONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Household Data 2. Employment status by sex, age, race, and Hispanic origin, seasonally adjusted [Numbers in thousands] Employment status Annual average 1981 1982 1980 1981 Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July 169,848 2,102 167,745 106,940 63.8 99,303 58.5 3,364 95,938 7,637 7.1 60,806 172,272 2,142 170,130 108,670 63.9 100,397 58.3 3,368 97,030 8,273 7.6 61,460 172,559 2,160 170,399 108,818 63.9 100,840 58.4 3,404 97,346 7,978 7.3 61,581 172,758 2,165 170,593 108,494 63.6 100,258 58.0 3,358 96,900 8,236 7.6 62,099 172,966 2,158 170,809 109,012 63.8 100,343 58.0 3,378 96,965 8,669 8.0 61,797 173,155 2,158 170,996 109,272 63.9 100,172 57.9 3,372 96,800 9,100 8.3 61,724 173,330 2,164 171,166 109,184 63.8 99,613 57.5 3,209 96,404 9,571 8.8 61,982 173,495 2,159 171,335 108,879 63.5 99,581 57.4 3,411 96,170 9,298 8.5 62,456 173,657 2,168 171,489 109,165 63.7 99,590 57.3 3,373 96,217 9,575 8.8 63,324 173,843 2,175 171,667 109,346 63.7 99,492 57.2 3,349 96,144 9,854 9.0 63,321 174,020 2,176 171,844 109,648 63.8 99,340 57.1 3,309 96,032 10,307 9.4 62,197 174,201 2,175 172,026 110,666 64.3 100,117 57.5 3,488 96,629 10,549 9.5 61,360 174,364 2,173 172,190 110,191 64.0 99,764 57.2 3,357 96,406 10,427 9.5 61,999 174,544 2,180 172,364 110,522 64.1 99,732 57.1 3,460 96,272 10,790 9.8 61,842 174,707 2,196 172,511 110,644 64.1 99,839 57.1 3,435 96,404 10,805 9.8 61,867 71,138 56,455 79.4 53,101 2,396 50,706 3,353 5.9 72,419 57,197 79.0 53,582 2,384 51,199 3,615 6.3 72,559 57,250 78.9 53,791 2,422 51,369 3,459 6.0 72,670 57,262 78.8 53,693 2,383 51,310 3,569 6.2 72,795 57,355 78.8 53,504 2,413 51,091 3,851 6.7 72,921 57,459 78.8 53,354 2,382 50,972 4,105 7.1 73,020 57,665 79.0 53,122 2,311 50,811 4,543 7.9 73,120 57,368 78.5 53,047 2,390 50,657 4,322 7.5 73,209 57,448 78.5 53,097 2,386 50,711 4,351 7.6 73,287 57,554 78.5 53,006 2,377 50,629 4,548 7.9 73,392 57,730 78.7 52,988 2,382 50,606 4,742 8.2 73,499 58,164 79.1 53,260 2,464 50,796 4.904 8.4 73,585 58,016 78.8 52,985 2,424 50,561 5,031 8.7 73,685 58,084 78.8 52,996 2,474 50,522 5,088 8.8 73,774 58,026 78.7 52,887 2,436 50,451 5,139 8.9 80,065 41,106 51.3 38,492 584 37,907 2,615 6.4 81,497 42,485 52.1 39,590 604 38,986 2,895 6.8 81,671 42,666 52.2 39,841 609 39,232 2,825 6.6 81,792 42,344 51.8 39,426 608 39,818 2,918 6.9 81,920 42,831 52.3 39,814 596 39,218 3,017 7.0 82,038 42,987 52.4 39,878 63.5 39,243 3,109 7.2 82,151 42,88 52.2 39,713 572 39,141 3,175 7.4 82,260 42,868 52.1 39,764 64.9 39,115 3,104 7.2 82,367 43,031 52.2 39,744 628 39,116 3,286 7.6 82,478 43,243 52.4 39,807 636 39,172 3,435 7.9 82,591 43,301 52.4 39,715 601 39,114 3,586 8.3 82,707 43,683 52.8 40,075 634 39,441 3,608 8.3 82,811 43,904 53.0 40,350 581 39,769 3,554 8.1 82,926 44,076 53.2 40,392 600 39,791 3,684 8.4 83,035 44,115 53.1 40,490 589 39,901 3,626 8.2 16,543 9,378 56.7 7,710 385 7,325 1,669 17.8 16,214 8,988 55.4 7,225 380 6,845 1,763 19.6 16,169 8,902 55.1 7,208 373 6,835 1,694 19.0 16,131 8,888 55.1 7,139 367 6,772 1,749 19.7 16,093 8,826 54.8 7,025 369 6,656 1,801 20.4 16,037 8,826 55.0 6,940 355 6,585 1,886 21.4 15,995 8,631 54.0 6,778 326 6,452 1,853 21.5 15,955 8,643 54.2 6,771 373 6,398 1,872 21.7 15,913 8,686 54.6 6,748 359 6,389 1,938 22.3 15,902 8,549 53.8 6,679 336 6,343 1,870 21.9 15,861 8,616 54.3 6,637 326 6,311 1,979 23.0 15,820 8,819 55.7 6,782 390 6,392 2,037 23.1 15,794 8,271 52.4 6,429 353 6,076 1,842 22.3 15,753 8,362 53.1 6,344 386 5,958 2,018 24.1 15,702 8,503 54.2 6,463 411 6,052 2,040 24.0 146,122 93,600 64.1 87,715 5,884 6.3 147,908 95,052 64.3 88,709 6,343 6.7 148,144 95,163 64.2 89,221 5,942 6.2 148,370 94,884 64.0 88,628 6,256 6.6 148,562 95,365 64.2 88,734 6,631 7.0 148,631 95,535 64.3 88,498 7,037 7.4 148,755 95,329 64.1 88,010 7,319 7.7 148,842 95,120 63.9 87,955 7,165 7.5 148,855 95,333 64.0 87,990 7,344 7.7 149,132 95,508 64.0 87,956 7,552 7.9 149,249 96,015 64.3 87,988 8,026 8.4 149,250 96,641 64.8 88,450 8,191 8.5 149,429 96,223 64.4 88,173 8,050 8.4 149,569 96,493 64.5 88,137 8,356 8.7 149,536 96,414 64.5 88,133 8,281 8.6 17,824 10,865 61.0 9,313 1,553 14.3 18,219 11,086 60.8 9,355 1,731 15.6 18,266 11,069 60.6 9,267 1,802 16.3 18,297 11,134 60.9 9,319 1,815 16.3 18,333 11,188 61.0 9,313 1,875 16.8 18,362 11,207 61.0 9,321 1,886 16.8 18,392 11,226 61.0 9,279 1,947 17.3 18,423 11,188 9,314 1,874 16.8 18,450 11,205 60.7 9,265 1,939 17.3 18,480 11,217 60.7 9,197 2,020 18.0 18,511 11,170 60.3 9,111 2,058 18.4 18,542 11,335 61.1 9,216 2,120 18.7 18,570 11,253 60.6 9,174 2,079 18.5 18,600 11,322 60.9 9,223 2,098 18.5 18,626 11,412 61.3 9,262 2,150 18.8 8,901 5,700 64.0 5,126 575 10.1 9,310 5,972 64.1 5,348 624 10.4 9,400 5,924 63.0 5,340 584 9.9 9,466 5,964 63.0 5,393 571 9.6 9,559 6,074 63.5 5,422 652 10.7 9,556 6,151 64.4 5,446 705 11.5 9,519 6,095 64.0 5,426 669 11.0 9,400 6,054 64.4 5,330 724 12.0 9,341 6,065 64.9 5,298 767 12.6 9,297 6,024 64.8 5,260 764 12.7 9,235 5,933 64.2 5,191 743 12.5 9,297 6,001 64.5 5,166 834 13.9 9,428 5,931 62.9 5,131 800 13.5 9,521 5,966 62.7 5,135 832 13.9 9,689 6,087 62.8 5,197 890 14.6 Aug. TOTAL Total noninstitutional population' .......................... Armed Forces 1 ................................ Civilian noninstitutional population ’ .................. Civilian labor fo rce .................................. Participation rate ............................ Employed ........................................ Employment-population ratio 2 ........ Agriculture...................................... Nonagricultural industries .................... Unemployed .................................. Unemployment rate ........................ Not in labor force...................................... Men, 20 years and over Civilian noninstitutional population1 .................. Civilian labor force .................................... Participation rate ............................ Employed ................................ Agriculture........................................ Nonagricultural industries .................... Unemployed .......................................... Unemployment rate ........................ Women, 20 years and over Civilian noninstitutional population' .................. Civilian labor force .................................... Participation rate ............................ Employed ...................................... Agriculture.......................................... Nonagricultural industries .................... Unemployed ...................... Unemployment rate ........................ Both sexes, 16 to 19 years Civilian noninstitutional population' .................. Civilian labor fo rce .................................. Participation rate ............................ Employed .......................... Agriculture.......................................... Nonagricultural industries .................... Unemployed ................................ Unemployment rate ........................ White Civilian noninstitutional population' .................. Civilian labor force .................................. Participation.................................... Employed ................................ Unemployed .......................................... Unemployment rate ........................ Black Civilian noninstitutional population' .................. Civilian labor force .................................... Participation rate ............................ Employed .............................................. Unemployed .................................. Unemployment rate ........................ Hispanic origin Civilian noninstitutional population' .................. Civilian labor fo rce ...................................... Participation rate ............................ Employed .............................................. Unemployed .......................................... Unemployement rate ...................... 1The population and Armed Forces figures are not seasonally adjusted. 2 Civilian employment as a percent of the total noninstitutional population (including Armed Forces). Digitized60 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis N ote : Detail for the above race and Hispanlc-origin groups will not sum to totals because data for the “other races” group are not presented and Hispanics are included in both the white and black population groups. 3. Selected employment indicators, seasonally adjusted [ Numbers in thousands] Annual average 1981 1982 Selected categories Aug. Sept. Oct Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. 100,343 57,266 43,077 38,746 23,874 5,045 100,172 57,051 43,121 38,553 23,820 5,049 99,613 56,725 42,888 38,342 23,691 5,064 99,581 56,629 42,952 38,234 23,744 5,107 99,590 56,658 42,932 38,255 23,727 5,158 99,492 56,472 43,020 38,181 23,900 5,095 99,340 56,401 42,940 38,142 23,831 5,095 100,117 56,820 43,297 38,312 24,213 4,986 99,764 56,223 43,541 38,354 24,401 5,112 99,732 56,192 43,540 38,213 24,223 5,247 99,839 56,210 43,630 38,184 24,300 5,216 52,908 16,598 11,533 6,441 18,336 31,266 12,514 10,524 3,506 4,722 13,391 2,743 53,199 16,681 11,616 6,400 18,502 30,953 12,446 10,410 3,580 4,517 13,525 2,770 53,086 16,657 11,461 6,418 18,550 30,683 12,411 10,220 3,438 4,614 13,670 2,802 53,084 16,774 11,424 6,450 18,436 30,344 12,446 10,169 3,368 4,361 13,639 2,660 52,836 16,803 11,091 6,520 18,423 30,203 12,370 9,966 3,415 4,451 13,709 2,817 52,841 16,612 11,253 6,544 18,432 30,309 12,454 9,955 3,503 4,397 13,612 2,787 52,763 16,659 11,311 6,637 18,155 30,416 12,511 9,860 3,397 4,648 13,526 2,710 53,177 16,844 11,501 6,603 18,229 29,924 12,492 9,688 3,400 4,343 13,555 2,623 53,705 16,818 11,541 6,587 18,759 29,926 12,316 9,585 3,419 4,607 13,738 2,731 53,586 17,053 11,504 6,547 18,482 29,716 12,207 9,655 3,414 4,441 13,791 2,660 53,685 17,292 11,355 6,567 18,471 29,609 12,229 9,453 3,439 4,488 13,634 2,750 53,750 17,023 11,613 6,677 18,437 29,465 12,342 9,257 3,268 4,598 13,926 2,711 1,501 1,638 256 1,461 1,643 256 1,502 1,631 261 1,436 1,641 321 1,352 1,602 228 1,377 1,674 380 1,426 1,596 359 1,416 1,644 277 1,423 1,664 270 1,541 1,698 236 1,431 1,676 251 1,530 1,674 250 1,568 1,613 254 89,543 15,689 73,853 1,208 72,645 7,097 390 89,995 15,526 74,469 1,259 73,210 7,103 387 89,376 15,475 73,901 1,102 72,799 7,217 399 89,460 15,491 73,969 1,162 72,807 7,152 451 89,238 15,397 73,841 1,204 72,637 7,141 425 88,991 15,585 73,406 1,291 72,115 7,057 410 88,759 15,578 73,181 1,248 71,932 6,971 410 88,586 15,527 73,059 1,161 71,898 7,055 408 88,526 15,492 73,034 1,225 71,809 7,126 434 88,322 15,453 72,869 1,192 71,677 7,264 413 89,051 15,422 73,629 1,202 72,427 7,269 382 88,606 15,635 72,970 1,201 71,770 7,319 397 88,541 15,443 73,098 1,200 71,898 7,268 390 88,737 15,569 73,168 1,242 71,927 7,352 409 91,377 74,339 4,499 1,738 2,761 12,539 91,569 74,467 4,350 1,729 2,621 12,752 90,878 73,794 4,656 1,759 2,897 12,428 91,384 73,886 5,009 2,006 3,003 12,489 91,323 73,915 5,026 1,945 3,081 12,382 90,922 73,360 5,288 2,121 3,167 12,274 90,125 72,803 5,071 1,783 3,287 12,251 90,892 73,028 5,563 2,193 3,370 12,300 90,548 72,649 5,717 2,237 3,480 12,183 90,596 72,335 5,834 2,223 3,611 12,427 91,282 73,036 5,763 2,211 3,552 12,483 91,020 72,662 5,444 2,064 3,380 12,914 90,501 c 72,430 5,492 2,001 3,491 12,579 90,508 72,112 5,648 2,054 3,594 12,748 1980 1981 99,303 57,186 42,117 39,004 23,532 4,780 100,397 57,397 43,000 38,882 23,915 4,998 51,882 15,968 11,138 6,303 18,473 31,452 12,787 10,565 3,531 4,567 13,228 2,741 52,949 16,420 11,540 6,425 18,564 31,261 12,662 10,540 3,476 4,583 13,438 2,749 53,141 16,621 11,460 6,490 18,570 31,611 12,724 10,658 3,530 4,699 13,282 2,753 1,425 1,642 297 1,464 1,638 266 88,525 15,912 72,612 1,192 71,420 7,000 413 90,209 73,590 4,064 1,714 2,350 12,555 CHARACTERISTIC Total employed, 16 years and over ...................... Men ............................................................ Women........................................................ Married men, spouse present ........................ Married women, spouse present.................... Women who maintain families........................ 100.840 100,258 57,551 57,471 43,289 42,787 38,961 38,855 24,043 23,626 4,988 5,015 OCCUPATION White-collar workers............................................ Professional and technical ............................ Managers and administrators, except farm . . . . Salesworkers................................................ Clerical workers............................................ Blue-collar workers.............................................. Craft and kindred workers ............................ Operatives, except transport.......................... Transport equipment operatives .................... Nonfarm laborers.......................................... Service workers .................................................. Farmworkers ...................................................... MAJOR INDUSTRY AND CLASS OF WORKER Agriculture: Wage and salary workers.............................. Self-employed workers.................................. Unpaid family workers .................................. Nonagricultural industries: Wage and salary workers.............................. Government .......................................... Private industries.................................... Households .................................... Other .............................................. Self-employed workers.................................. Unpaid family workers .................................. PERSONS AT WORK1 Nonagricultural industries .................................... Full-time schedules ...................................... Part time for economic reasons...................... Usually work full time.............................. Usually work part tim e............................ Part time for noneconomic reasons................ 'Excludes persons "with a job but not at work” during the survey period for such reasons as vacation, illness, or industrial disputes. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis c = corrected, 61 M ONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Household Data 4. Selected unemployment indicators, seasonally adjusted [Unemployment rates] Annual average 1981 1982 Selected categories 1980 1981 Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Total, 16 years and over................ Both sexes, 16 to 19 years............................ Men, 20 years and o v e r................................ Women, 20 years and over............................ 7.1 17.8 5.9 6.4 7.6 19.6 6.3 6.8 7.3 19.0 6.0 6.6 7.6 19.7 6.2 6.9 8.0 20.4 6.7 7.0 8.3 21.4 7.1 7.2 8.8 21.5 7.9 7.4 8.5 21.7 7.5 7.2 8.8 22.3 7.6 7.6 9.0 21.9 7.9 7.9 9.4 23.0 8.2 8.3 9.5 23.1 8.4 8.3 9.5 22.3 8.7 8.1 9.8 24.1 8.8 8.4 9.8 24.0 8.9 8.2 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 .................... 6.3 15.5 16.2 14.8 5.3 5.6 6.7 17.3 17.9 16.6 5.6 5.9 6.2 16.1 16.7 15.4 5.2 5.5 6.6 17.2 17.5 16.8 5.5 5.9 7.0 17.7 17.9 17.5 5.9 6.1 7.4 19.0 19.6 18.3 6.4 6.3 7.7 19.0 20.2 17.7 6.9 6.4 7.5 19.6 20.8 18.2 6.6 6.3 7.7 20.0 20.4 19.4 6.7 6.6 7.9 19.0 20.2 17.6 7.0 6.9 8.4 20.8 22.3 19.2 7.3 7.2 8.5 20.3 21.2 19.2 7.5 7.3 8.4 19.4 21.1 17.5 7.7 7.1 8.7 21.0 22.6 19.2 7.9 7.3 8.6 20.6 22.5 18.6 7.9 7.1 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 .................... 14.3 38.5 37.5 39.8 12.4 11.9 15.6 41.4 40.7 42.2 13.5 13.4 16.3 49.0 49.9 47.8 13.6 13.8 16.3 40.8 38.5 43.4 14.5 14.0 16.8 45.6 41.6 49.5 14.7 13.9 16.8 44.1 41.9 46.6 15.5 13.6 17.3 42.2 39.6 45.1 16.5 14.1 16.8 41.2 36.3 46.7 16.3 13.3 17.3 42.3 40.7 44.2 16.0 14.5 18.0 46.0 48.5 43.1 16.0 15.4 18.4 48.1 48.3 47.8 16.9 15.6 18.7 49.8 50.6 48.9 17.0 15.3 18.5 52.6 58.1 46.2 17.1 15.0 18.5 49.7 48.3 51.2 16.8 15.5 18.8 51.6 50.1 53.1 17.2 15.1 Hispanic origin, to ta l...................................... 10.1 10.4 9.9 9.6 10.7 11.5 11.0 12.0 12.6 12.7 12.5 13.9 13.5 13.9 14.6 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 lost’ .................................... 4.2 5.8 9.2 6.9 8.8 1.7 7.9 4.3 6.0 10.4 7.3 9.4 2.1 8.5 4.0 5.5 10.1 6.9 9.6 2.0 7.9 4.4 6.0 10.7 7.3 9.6 2.1 8.5 4.8 6.1 10.6 7.7 9.5 2.1 9.1 5.2 6.5 10.8 8.1 10.2 2.2 9.5 5.7 6.6 10.5 8.7 9.2 2.2 10.1 5.3 6.2 10.4 8.4 9.6 2.2 10.0 5.3 7.0 10.2 8.5 10.8 2.5 9.8 5.5 7.1 10.6 8.9 10.0 2.7 10.4 6.0 7.8 11.5 9.2 10.9 2.7 10.4 6.1 7.4 11.8 9.2 10.5 3.0 11.1 6.5 7.0 12.4 9.4 9.8 3.3 10.2 6.6 7.4 12.0 9.5 11.4 3.2 10.7 6.7 7.1 11.6 9.6 10.3 3.3 10.7 3.7 2.5 2.4 4.4 5.3 10.0 6.6 12.2 8.8 14.6 7.9 4.6 4.0 2.8 2.7 4.6 5.7 10.3 7.5 12.2 8.7 14.7 8.9 5.3 3.9 2.5 2.7 4.7 5.7 9.5 7.0 11.1 8.0 13.2 8.9 5.4 4.1 2.8 2.7 5.0 5.8 10.2 7.7 11.6 8.7 14.6 9.0 4.0 4.1 2.6 2.8 4.9 6.0 10.9 8.3 12.8 8.0 15.6 9.3 6.2 4.2 2.7 3.0 5.0 6.0 11.8 8.5 14.1 10.4 16.0 9.7 6.2 4.5 3.4 3.1 4.9 6.2 12.7 9.3 15.5 10.5 16.9 9.6 6.4 4.2 2.9 2.7 4.5 6.3 12.5 9.0 15.4 10.2 16.9 9.2 6.9 4.6 3.1 3.1 4.8 6.7 12.5 8.4 15.4 10.3 17.9 9.8 4.9 4.8 3.2 3.0 5.8 6.9 12.9 9.1 15.9 10.4 17.9 10.2 5.4 4.9 3.2 3.3 5.6 7.2 13.7 9.6 16.9 10.7 19.2 11.1 5.8 4.8 3.3 3.5 5.2 6.8 13.5 9.4 16.5 11.8 18.3 11.3 8.3 5.0 3.3 3.8 5.8 6.9 13.9 10.3 16.7 13.0 17.9 9.9 7.2 4.9 3.3 3.7 5.4 6.9 14.4 10.9 17.4 11.6 18.6 10.5 6.1 4.8 3.1 3.8 5.5 6.7 14.2 10.6 17.5 12.5 17.4 10.6 6.9 7.4 14.1 8.5 8.9 7.9 4.9 7.4 5.3 4.1 11.0 7.7 15.6 8.3 8.2 8.4 5.2 8.1 5.9 4.7 12.1 7.3 16.2 7.0 6.5 7.9 4.8 7.9 5.7 4.5 12.0 7.7 16.3 7.9 7.7 8.3 4.2 8.5 6.0 4.7 11.0 8.1 17.6 8.6 8.6 8.6 4.8 8.4 6.2 4.7 13.4 8.4 17.8 9.4 9.5 9.3 5.5 8.6 6.1 5.2 14.1 9.1 18.1 11.0 11.8 9.6 6.0 8.9 6.4 5.0 14.8 8.8 18.7 10.4 11.0 9.5 6.4 8.7 5.9 4.8 16.2 9.0 18.1 10.6 11.3 9.5 5.9 9.0 6.5 5.2 12.8 9.5 17.9 10.8 10.8 10.8 5.6 10.3 6.9 4.9 14.0 9.9 19.4 11.3 11.9 10.5 7.0 10.1 ■ 7.0 5.3 14.6 9.9 18.8 11.6 12.2 10.7 6.5 10.6 6.9 5.0 18.2 10.0 19.2 12.3 13.2 11.0 6.9 9.7 6.8 4.6 16.3 10.2 20.3 12.0 12.7 11.0 6.1 10.5 7.0 4.6 13.8 10.1 20.3 12.1 12.9 10.8 7.0 9.8 7.0 4.6 14.3 CHARACTERISTIC OCCUPATION White-collar workers............................................ Professional and technical ............................ Managers and administrators, except farm . . . . Salesworkers................................................ Clerical workers............................................ Blue-collar workers.............................................. Craft and kindred workers ............................ Operatives, except transport.......................... Transport equipment operatives .................... Nonfarm laborers.......................................... Service workers.................................................. Farmworkers ...................................................... INDUSTRY Nonagricultural pnvate wage and salary workers2 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.................... 1Aggregate hours lost by the unemployed and persons on part time for economic reasons as a percent of potentially available labor force hours. Digitized 62 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 2 Indudes mining, not shown separately, 5. Unemployment rates, by sex and age, seasonally adjusted Annual average 1982 1981 Sex and age Sept Oct Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. 7.3 19.0 20.8 17.6 12.1 5.2 5.5 3.5 7.6 19.7 21.4 18.5 12.3 5.4 5.8 3.8 8.0 20.4 21.5 20.0 12.7 5.7 6.2 3.8 8.3 21.4 22.6 20.5 13.0 6.0 6.5 3.8 8.8 21.5 21.9 21.2 13.5 6.5 6.9 4.1 8.5 21.7 21.9 21.3 13.5 6.3 6.7 4.2 8.8 22.3 22.7 22.0 14.1 6.4 6.8 4.3 9.0 21.9 22.7 21.3 14.2 6.8 7.3 4.6 9.4 23.0 24.6 21.9 14.7 7.0 7.4 5.0 9.5 23.1 25.3 21.3 14.3 7.1 7.7 4.8 9.5 22.3 23.7 21.9 14.4 7.4 7.7 5.4 9.8 24.1 26.1 22.8 14.5 7.5 7.9 5.2 9.8 24.0 25.8 22.6 15.2 7.3 7.8 5.1 7.4 20.1 22.0 18.8 13.2 5.1 5.5 3.5 7.1 19.8 21.5 18.3 12.9 4.9 5.2 3.4 7.3 19.9 21.5 18.7 13.1 5.0 5.5 3.5 7.7 20.1 21.1 19.3 13.8 5.5 5.9 3.7 8.3 21.8 22.7 21.0 14.4 5.8 6.3 3.7 9.0 22.3 22.6 22.2 14.8 6.5 6.9 4.4 8.6 22.1 23.0 21.4 14.9 6.3 6.7 4.3 8.7 22.5 23.0 22.1 15.4 6.3 6.7 4.2 9.0 23.5 24.3 22.9 15.7 6.6 7.1 4.8 9.4 24.4 24.7 24.3 16.0 6.9 7.2 5.1 9.6 24.0 26.3 21.9 15.5 6.9 7.5 4.7 9.7 24.2 25.8 24.0 15.8 7.5 8.0 5.0 9.9 25.1 28.1 23.4 15.9 7.5 8.1 4.8 10.0 25.1 27.3 23.4 16.6 7.5 8.0 5.4 7.9 19.0 20.7 17.9 11.2 5.9 6.3 3.8 7.7 18.2 20.0 16.9 11.1 5.6 6.0 3.7 8.0 19.5 21.2 18.3 11.4 6.0 6.3 4.3 8.2 20.7 21.9 20.6 11.5 6.1 6.5 4.0 8.4 20.9 22.5 19.9 11.3 6.4 6.8 3.8 8.5 20.5 21.1 20.0 12.0 6.4 6.9 3.7 8.4 21.2 20.6 21.1 11.9 6.3 6.7 4.1 8.9 22.1 22.5 21.9 12.7 6.5 7.0 4.3 9.0 20.1 20.8 19.6 12.6 7.0 7.6 4.3 9.4 21.3 24.5 19.4 13.3 7.2 7.7 4.8 9.5 22.1 24.1 20.6 12.9 7.4 8.0 5.0 9.1 20.2 21.4 19.7 12.9 7.2 7.4 6.0 9.6 23.1 24.1 22.2 12.9 7.4 7.7 6.0 9.5 22.8 24.2 21.7 13.7 7.0 7.5 4.6 1980 1981 Total, 16 years and over...................................... 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 o ve r.................................. 7.1 17.8 20.0 16.2 11.5 5.1 5.5 3.3 7.6 19.6 21.4 18.4 12.3 5.4 5.8 3.6 Men, 16 years and over ................................ 16 to 19 years........................................ 16 to 17 years ................................ 18 to 19 years ................................ 20 to 24 years........................................ 25 years and ove r.................................. 25 to 54 years ................................ 55 years and over............................ 6.9 18.3 20.4 16.7 12.5 4.8 5.1 3.3 Women, 16 years and over............................ 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 17.2 19.6 15.6 10.4 5.5 6.0 3.2 6. Aug. Unemployed persons, by reason for unemployment, seasonally adjusted [Numbers in thousands] Reason for unemployment Annual average 1982 1981 1980 1981 Aug. Sept Oct Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. 3,947 1,488 2,459 891 1,927 872 4,267 1,430 2,837 923 2,102 981 4,106 1,276 2,830 879 2,034 971 4,426 1,452 2,974 921 2,058 977 4,573 1,631 2,942 976 2,178 1,002 4,905 1,826 3,079 916 2,339 996 5,343 2,042 3,301 923 2,244 1,021 5,205 1,860 3,345 835 2,079 1,055 5,153 1,740 3,413 964 2,277 1,100 5,622 1,828 3,794 885 2,249 1,044 5,906 1,946 3,959 937 2,365 1,081 5,901 1,969 3,932 874 2,438 1,154 6,302 2,071 4,231 813 2,372 1,088 6,177 2,079 4,098 813 2,528 1,249 6,347 2,180 4,167 806 2,440 1,328 100.0 51.7 19.5 32.1 11.7 25.2 11.4 100.0 51.6 17.3 34.3 11.2 25.4 11.9 100.0 51.4 16.0 35.4 11.0 25.5 12.2 100.0 52.8 17.3 35.5 11.0 24.6 11.7 100.0 52.4 18.7 33.7 11.2 25.0 11.5 100.0 53.6 19.9 33.6 10.0 25.5 10.9 100.0 56.1 21.4 34.6 9.7 23.5 10.7 100.0 56.7 20.3 36.5 9.1 22.7 11.5 100.0 54.3 18.3 35.9 10.2 24.0 11.6 100.0 57.4 18.7 38.7 9.0 22.9 10.7 100.0 57.4 18.9 38.5 9.1 23.0 10.5 100.0 56.9 19.0 37.9 8.4 23.5 11.1 100.0 59.6 19.6 40.0 7.7 22.4 10.3 100.0 57.4 19.3 38.1 7.5 23.5 11.6 100.0 58.1 20.0 38.2 7.4 22.3 12.2 3.7 .8 1.8 .8 3.9 .8 1.9 .9 3.8 .8 1.9 .9 4.1 .8 1.9 .9 4.2 .9 2.0 .9 4.5 .8 2.1 .9 4.9 .8 2.1 .9 4.8 .8 1.9 1.0 4.7 .9 2.1 1.0 5.1 .8 2.1 1.0 5.4 .9 2.2 1.0 5.3 .8 2.2 1.0 5.7 .7 2.2 1.0 5.6 .7 2.3 1.1 5.7 .7 2.2 1.2 NUMBER OF UNEMPLOYED Lost last jo b ........................................................ On layoff...................................................... Other job losers........................................... Left last job ........................................................ Reentered labor force.......................................... Seeking first jo b .................................................. PERCENT DISTRIBUTION Total unemployed................................................ Job losers .......................................................... On layoff...................................................... Other job losers............................................ Job leavers ........................................................ Reentrants.......................................................... New entrants ...................................................... PERCENT OF CIVILIAN LABOR FORCE Job losers .......................................................... Job leavers ........................................................ Reentrants.......................................................... New entrants ...................................................... 7. Duration of unemployment, seasonally adjusted [Numbers in thousands] Annual average Less than 5 weeks .............................................. 5 to 14 weeks .................................................... 15 weeks and o ver.............................................. 15 to 26 weeks ............................................ 27 weeks and over........................................ Mean duration, in weeks ...................................... Median duration, in weeks.................................... https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 1982 1981 1980 1981 Aug. Sept Oct Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. 3,295 2,470 1,871 1,052 820 11.9 6.5 3,449 2,539 2,285 1,122 1,162 13.7 6.9 3,326 2,469 2,217 1,078 1,139 14.3 7.0 3,529 2,585 2,248 1,146 1,102 13.7 6.9 3,707 2,686 2,292 1,166 1,126 13.6 6.8 3,852 2,882 2,364 1,229 1,135 13.1 6.9 4,037 3,016 2,372 1,189 1,183 12.8 6.7 3,852 3,068 2,399 1,210 1,190 13.5 7.2 3,789 3,052 2,724 1,445 1,278 14.1 7.3 3,825 3,078 2,954 1,605 1,349 13.9 7.6 3,958 3,304 3,015 1,508 1,507 14.2 8.5 3,874 3,320 3,286 1,634 1,652 14.6 9.0 3,543 3,458 3,673 1,826 1,847 16.5 9.8 3,990 3,161 3,580 1,792 1,788 15.6 8.3 3,923 3,304 3,631 1,810 1,821 16.2 8.2 63 EMPLOYMENT, HOURS, AND EARNINGS DATA FROM ESTABLISHMENT SURVEYS E m p l o y m e n t , h o u r s , a n d e a r n in g s d a t a in this section are compiled from payroll records reported monthly on a volun tary basis to the Bureau of Labor Statistics and its cooperat ing State agencies by 177,000 establishments representing all industries except agriculture. In most industries, the sampling probabilities are based on the size of the establishment; most large establishments are therefore in the sample. (An estab lishment is not necessarily a firm; it may be a branch plant, for example, or warehouse.) Self-employed persons and others not on a regular civilian payroll are outside the scope of the survey because they are excluded from establishment records. This largely accounts for the difference in employment figures between the household and establishment surveys. Definitions Employed persons are all persons who received pay (including holi day and sick pay) 12th of the month. cent of all persons ment which reports for any part of the payroll period including the Persons holding more than one job (about 5 per in the labor force) are counted in each establish them. P rod uctio n w orkers in manufacturing include blue-collar worker supervisors and all nonsupervisory workers closely associated with production operations. Those workers mentioned in tables 11-15 in clude production workers in manufacturing and mining; construction workers in construction; and nonsupervisory workers in transporta tion and public utilities; in wholesale and retail trade; in finance, in surance, and real estate; and in services industries. These groups account for about four-fifths of the total employment on private nonagricultural payrolls. E arnings are the payments production or nonsupervisory workers receive during the survey period, including premium pay for overtime or late-shift work but excluding irregular bonuses and other special Digitized for 64 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis payments. R eal 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 H o u rly E arnings In d ex is calculated from av erage 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 of changes and seasonal factors in the proportion of workers in high-wage and lowwage industries. H ou rs represent the average weekly hours of production or nonsupervisory workers for which pay was received and are different from standard or scheduled hours. O vertim e hours represent the por tion of gross average weekly hours which were in excess of regular hours and for which overtime premiums were paid. Notes on the data Establishment data collected by the Bureau of Labor Statistics are periodically adjusted to comprehensive counts of employment (called “benchmarks”). The latest complete adjustment was made with the re lease of May 1982 data, published in the July 1982 issue of the Review. Consequently, data published in the Review prior to that issue are not necessarily comparable to current data. Complete comparable histori cal unadjusted and seasonally adjusted data are published in a Supple ment to Employment and Earnings (unadjusted data from April 1977 through February 1982 and seasonally adjusted data from January 1974 through February 1982) and in Em ploym ent and Earnings, Unit ed States, 1909-78, BLS Bulletin 1312-11 (for prior periods). 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 sur veys,” M onthly Labor Review, December 1969, pp. 9-20. See also B L S H andbook o f M ethods fo r Surveys and Studies, Bulletin 1910 (Bureau of Labor Statistics, 1976). 8. Employment by industry, selected years, 1950-81 [Nonagricultural payroll data, in thousands Service-producing Goods-producing Year Total Private sector Total Mining Construe- Manufacturing tion Total Transportation and public utilities Wholesale and retail trade Total Wholesale trade trade Government Finance, insurance, Services and real estate Total Federal State and local 1950 .............................. 1955 .............................. I960’ ............................ 1964 .............................. 1965 .............................. 45,197 50,641 54,189 58,283 60,765 39,170 43,727 45,836 48,686 50,689 18,506 20,513 20,434 21,005 21,926 901 792 712 634 632 2,364 2,839 2,926 3,097 3,232 15,241 16,882 16,796 17,274 18,062 26.691 30,128 33,755 37,278 38,839 4,034 4,141 4,004 3,951 4,036 9,386 10,535 11,391 12,160 12,716 2,635 2,926 3,143 3,337 3,466 6,751 7,610 8,248 8,823 9,250 1,888 2,298 2,629 2,911 2,977 5,357 6,240 7,378 8,660 9,036 6,026 6,914 8,353 9,596 10,074 1,928 2,187 2,270 2,348 2,378 4,098 4,727 6,083 7,248 7,696 1966 1967 1968 1969 1970 .............................. .............................. .............................. .............................. .............................. 63,901 65,803 67,897 70,384 70,880 53,116 54,413 56,058 58,189 58,325 23,158 23,308 23,737 24,361 23,578 627 613 606 619 623 3,317 3,248 3,350 3,575 3,588 19,214 19,447 19,781 20,167 19,367 40,743 42,495 44,160 46,023 47,302 4,158 4,268 4,318 4,442 4,515 13,245 13,606 14,099 14,705 15,040 3,597 3,689 3,779 3,907 3,993 9,648 9,917 10,320 10,798 11,047 3,058 3,185 3,337 3,512 3,645 9,498 10,045 10,567 11,169 11,548 10,784 11,391 11,839 12,195 12,554 2,564 2,719 2,737 2,758 2,731 8,220 8,672 9,102 9,437 9,823 1971 1972 1973 1974 1975 .............................. .............................. .............................. .............................. .............................. 71,214 73,675 76,790 78,265 76,945 58,331 60,341 63,058 64,095 62,259 22,935 23,668 24,893 24,794 22,600 609 628 642 697 752 3,704 3,889 4,097 4,020 3,525 18,623 19,151 20,154 20,077 18,323 48,278 50,007 51,897 53,471 54,345 4,476 4,541 4,656 4,725 4,542 15,352 15,949 16,607 16,987 17,060 4,001 4,113 4,277 4,433 4,415 11,351 11,836 12,329 12,554 12,645 3,772 3,908 4,046 4,148 4,165 11,797 12,276 12,857 13,441 13,892 12,881 13,334 13,732 14,170 14,686 2,696 2,684 2,663 2,724 2,748 10,185 10,649 11,068 11,446 11,937 1976 1977 1978 1979 1980 .............................. .............................. .............................. .............................. .............................. 79,382 82,471 86,697 89,823 90,406 64,511 67,344 71,026 73,876 74,166 23,352 24,346 25,585 26,461 25,658 779 813 851 958 1,027 3,576 3,851 4,229 4,463 4,346 18,997 19,682 20,505 21,040 20,285 56,030 58,125 61,113 63,363 64,748 4,582 4,713 4,923 5,136 5,146 17,755 18,516 19,542 20,192 20,310 4,546 4,708 4,969 5,204 5,275 13,209 13,808 14,573 14,989 15,035 4,271 4,467 4,724 4,975 5,160 14,551 15,303 16,252 17,112 17,890 14,871 15,127 15,672 15,947 16,241 2,733 2,727 2,753 2,773 2,866 12,138 12,399 12,919 13,147 13,375 1981 .............................. 91,105 75,081 25,481 1,132 4,176 20,173 65,625 5,157 20,551 5,359 15,192 5,301 18,592 16,024 2,772 13,253 ’ Data Include Alaska and Hawaii beginning in 1959. 9. Employment by State [Nonagricultural payroll data, in thousands] June 1982 July 1982 p 288.7 624.3 418.3 401.8 3,130.8 289.2 617.2 418.3 400.4 3,112.4 281.8 605.7 417.4 397.5 3,100.0 New Mexico.............................................................. New York.................................................................. North Carolina .......................................................... North Dakota ............................................................ Ohio ........................................................................ 475.9 7,331.2 2,347.4 249.6 4,326.0 474.5 7,346.7 2,350.0 253.4 4,256.2 471.8 7.272.2 2,289.1 251.4 4,203.1 2,145.9 404.6 311.1 4,625.5 2,012.0 Oklahoma ................................................................ Oregon .................................................................... Pennsylvania ............................................................ Rhode Island ............................................................ South Carolina .......................................................... 1,186.4 1,016.9 4,749.7 394.0 1,194.6 1,218.0 985.5 4,587.6 394.4 1,180.2 1,202.2 964.8 4,497.2 384.7 1,160.1 1,051.7 936.7 1,159.8 1,622.1 421.0 1,030.7 913.1 1,127.9 1,616.9 413.6 South Dakota............................................................ Tennessee ................................................................ Texas ...................................................................... Utah ........................................................................ Vermont.................................................................... 238.2 1,737.7 6,166.0 556.5 202.7 237.8 1,726.9 6,287.6 563.5 200.9 231.3 1,711.9 6,257.1 559.5 201.3 1,697.2 2,642.6 3,230.7 1,736.4 793.5 1,970.6 1,688.4 2,596.1 3,195.6 1,703.6 789.6 1,953.9 Virginia...................................................................... Washington .............................................................. West Virginia ............................................................ Wisconsin.................................................................. Wyoming .................................................................. 2,171.9 1,595.5 642.5 1,929.7 223.2 2,180.9 1,581.0 605.3 1,882.4 222.2 2,167.5 1,550.8 605.1 1,870.7 214.7 Virgin Islands ............................................................ 38.4 34.8 35.9 State State July 1981 June 1982 July 1982 p Alabama ...................................................................... Alaska .......................................................................... Arizona ........................................................................ Arkansas ...................................................................... California...................................................................... 1,354.6 192.0 1,021.4 736.2 10,017.3 1,333.0 194.2 1,018.2 721.9 10,042.9 1,326.4 199.4 1,002.5 714.6 9,940.4 Montana.................................................................... Nebraska .................................................................. Nevada .................................................................... New Hampshire ........................................................ New Jersey .............................................................. Colorado ...................................................................... Connecticut .................................................................. Delaware.......................................................... ........ District of Columbia........................................................ Florida.......................................................................... 1,282.5 1,432.7 264.6 629.0 3,663.6 1,292.0 1,429.4 259.2 608.5 3,761.0 1,279.1 1,406.4 261.4 625.6 3,702.3 Georgia........................................................................ Hawaii.......................................................................... Idaho............................................................................ Illinois .......................................................................... Indiana.......................................................................... 2,172.8 408.9 325.5 4,794.8 2,109.3 2,155.6 402.6 317.1 4,640.8 2,027.7 Iowa ............................................................................ Kansas ........................................................................ Kentucky ...................................................................... Louisiana...................................................................... Maine .......................................................................... 1,078.4 941.3 1,165.4 1,638.9 427.5 Maryland ...................................................................... Massachusetts.............................................................. Michigan ...................................................................... Minnesota .................................................................... Mississippi .................................................................... Missouri........................................................................ 1,720.8 2,631.4 3,366.2 1,758.8 818.9 1,972.9 July 1981 p= preliminary. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 65 M ONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Establishment Data 10. Employment by industry division and major manufacturing group, seasonally adjusted [Nonagricultural payroll data, In thousands] Annual average 1981 1982 Industry division and group 1980 TOTAL ...................................... 1981 Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July p Aug.P 90,083 90,166 89,839 89,662 89,451 90,406 91,105 91,322 91,363 91,224 90,996 90,642 90,460 90,459 90,304 PRIVATE SECTOR 74,166 75,081 75,428 75,459 75,307 75,088 74,725 74,596 74,609 74,445 74,231 74,313 74,007 73,949 73,751 GOODS-PRODUCING .......................... 25,658 25,481 25,637 25,583 25,393 25,176 24,908 24,684 24,631 24,450 24,289 24,255 23,994 23,880 23,730 Mining .................... 1,027 1,132 1,180 1,192 1,195 1,202 1,206 1,201 1,203 1,197 1,182 1,152 1,124 1,107 1,099 Construction ...................................................... 4,346 4,176 4,146 4,124 4,101 4,071 4,026 3,966 3,974 3,934 3,938 3,988 3,940 3,929 3,902 20,285 14,214 20,173 14,021 20,311 14,136 20,267 14,087 20,097 13,915 19,903 13,717 19,676 13,488 19,517 13,431 19,454 13,290 19,319 13,179 19,169 13,042 19,115 13,008 18,930 12,852 18,844 12,798 18,729 12,708 Durable goods Production workers.................................. 12,187 8,442 12,117 8,301 12,228 8,389 12,184 8,345 12,059 8,218 11,901 8,061 11,724 7,885 11,622 7,793 11,575 7,759 11,490 7,685 11,375 7,576 11,332 7,553 11,203 7,443 11,157 7,420 11,027 7,309 Lumber and wood products ............................ Furniture and fixtures...................................... Stone, clay, and glass products ...................... Primary metal industries.................................. Fabricated metal products .............................. 690.5 465.8 6621 1,142.2 1,613.1 668.7 467.3 638.2 1,121.1 1,592.4 671 475 643 1,134 1,610 661 473 638 1,125 1,604 643 469 629 1,104 1,577 628 462 620 1,082 1553 615 457 610 1,053 1,529 607 452 596 1,038 1,515 611 449 596 1,024 1,505 607 446 590 1,007 1,496 615 443 584 976 1,481 617 443 586 945 1,472 615 442 580 926 1,452 618 442 580 913 1,447 618 443 582 891 1,432 Machinery, except electrical............................ Electric and electronic equipment.................... Transportation equipment................................ Instruments and related products .................... Miscellaneous manufacturing .......................... 2,494.0 2,090.6 1,899.7 711.3 418.0 2,507.0 2,092.2 1,892.6 726.8 410.7 2,532 2,116 1,901 734 412 2,539 2,113 1,884 734 413 2,532 2,101 1,861 731 412 2,511 2,077 1,830 727 411 2,486 2,049 1,791 725 409 2,459 2,055 1,777 720 403 2,446 2,048 1,778 718 400 2,419 2,038 1,774 716 397 2,389 2,034 1,748 713 392 2,377 2,034 1,755 713 390 2,322 2,026 1,745 708 387 2,276 2,021 1,763 708 389 2,247 2,008 1,715 704 387 Nondurable goods .......................................... Production workers.................................. 8,098 5,772 8,056 5,721 8,083 5,747 8,083 5,742 8,038 5,697 8,002 5,656 7,952 5,603 7,895 5,548 7,879 5,531 7,829 5,494 7,794 5,466 7,783 5,455 7,727 5,409 7,687 5,378 7,702 5,399 Food and kindred products.............................. Tobacco manufactures .................................. Textile mill products........................................ Apparel and other textile products .................. Paper and allied products .............................. 1,708.0 68.9 847.7 1,263.5 692.8 1,674.3 69.8 822.5 1,244.0 687.8 1,659 70 829 1,253 691 1,658 69 827 1,253 695 1,662 69 814 1,243 685 1,664 69 804 1,235 681 1,661 68 794 1,222 677 1,657 69 780 1,201 674 1,663 68 777 1,201 670 1,658 68 760 1,186 668 1,643 67 773 1,165 664 1,652 67 759 1,165 661 1,637 67 741 1,161 658 1,648 65 741 1,129 659 1,634 66 734 1,161 655 Printing and publishing.................................... Chemicals and allied products ........................ Petroleum and coal products .......................... Rubber and miscellaneous plastics products . . . Leather and leather products.......................... 1,252.1 1,107.4 197.9 726.8 232.9 1,265.8 1,107.3 215.6 736.1 233.0 1,271 1,107 216 752 235 1,274 1,110 216 746 235 1,276 1,107 215 734 233 1,276 1,103 215 725 230 1,276 1,100 214 716 224 1,275 1,095 210 712 222 1,276 1,093 208 708 215 1,278 1,088 207 703 213 1,274 1,082 206 706 214 1,274 1,079 207 708 211 1,269 1,073 205 704 212 1,266 1,069 205 700 205 1,267 1,071 207 698 209 65,911 65,845 65,782 65,721 Manufacturing .................. Production workers........................ SERVICE-PRODUCING ........................................ 64,748 65,625 65,685 65,780 65,831 65,820 65,734 65,776 65,828 65,854 65,794 Transportation and public utilities ...................... 5,146 5,157 5,168 5,181 5,162 5,150 5,128 5,125 5,115 5,100 5,094 5,101 5,078 5,041 5,038 Wholesale and retail trade.................................. 20,310 20,551 20,650 20,660 20,654 20,623 20,524 20,630 20,670 20,655 20,584 20,652 20,595 20,613 20,531 5,275 5,359 5,387 5,383 5,380 5,375 5,357 5,346 5,343 5,336 5,323 5,331 5,307 5,298 5,279 15,035 15,192 15,263 15,277 15,274 15,248 15,167 15,284 15,327 15,319 15,261 15,321 15,288 15,315 15,252 Wholesale trade........................................ Retail trade .......................................... Finance, insurance, and real estate .................... 5,160 5,301 5,319 5,328 5,325 5,324 5,331 5,326 5,326 5,336 5,335 5,342, 5,352 5,358 5,375 Services...................................................... 17,890 18,592 18,654 18,707 18,773 18,815 18,834 18,831 18,867 18,904 18,929 18,963 18,988 19,057 19,077 Government...................................................... Federal.......................................................... State and local .............................................. 16,241 2,866 13,375 16,024 2,772 13,253 15,894 2,769 13,125 15,904 2,764 13,140 15,917 2,757 13,160 15,908 2,749 13,159 15,917 2,756 13,161 15,864 2,741 13,123 15,850 2,737 13,113 15,859 2,736 13,123 15,852 2,730 13,122 15,853 2,728 13,125 15,832 2,739 13,093 15,713 2,733 12,980 15,700 2,721 12,979 p=preliminary. Digitized 66 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 11. Hours and earnings, by industry division, selected years, 1950-81 [Gross averages, production or nonsupervisory workers on nonagricultural payrolls] Year Average weekly earnings Average weekly hours Average hourly earnings Average weekly earnings Average weekly hours Average hourly earnings Average weekly earnings Average hourly earnings Average weekly earnings Average weekly hours Average hourly earnings Manufacturing Construction Mining Private sector Average weekly hours 1950 .................. 1955 .................. I9601 ................ 1964 .................. 1965 .................. $53.13 67.72 80.67 91.33 95.45 39.8 39.6 38.6 38.7 38.8 $1.335 1.71 2.09 2.36 2.46 $67.16 89.54 105.04 117.74 123.52 37.9 40.7 40.4 41.9 42.3 $1.772 2.20 2.60 2.81 2.92 $69.68 90.90 112.67 132.06 138.38 37.4 37.1 36.7 37.2 37.4 $1.863 2.45 3.07 3.55 3.70 $58.32 75.30 89.72 102.97 107.53 40.5 40.7 39.7 40.7 41.2 $1.440 1.85 2.26 2.53 2.61 1966 1967 1968 1969 1970 .................. .................. .................. .................. .................. 98.82 101.84 107.73 114.61 119.83 38.6 38.0 37.8 37.7 37.1 2.56 2.68 2.85 3.04 3.23 130.24 135.89 142.71 154.80 164.40 42.7 42.6 42.6 43.0 42.7 3.05 3.19 3.35 3.60 3.85 146.26 154.95 164.49 181.54 195.45 37.6 37.7 37.3 37.9 37.3 3.89 4.11 4.41 4.79 5.24 112.19 114.49 122.51 129.51 133.33 41.4 40.6 40.7 40.6 39.8 2.71 2.82 3.01 3.19 3.35 1971 1972 1973 1974 1975 .................. .................. .................. .................. .................. 127.31 136.90 145.39 154.76 163.53 36.9 37.0 36.9 36.5 36.1 3.45 3.70 3.94 4.24 4.53 172.14 189.14 201.40 219.14 249.31 42.4 42.6 42.4 41.9 41.9 4.06 4.44 4.75 5.23 5.95 211.67 221.19 235.89 249.25 266.08 37.2 36.5 36.8 36.6 36.4 5.69 6.06 6.41 6.81 7.31 142.44 154.71 166.46 176.80 190.79 39.9 40.5 40.7 40.0 39.5 3.57 3.82 4.09 4.42 4.83 1976 1977 1978 1979 1980 .................. .................. .................. .................. .................. 175.45 189.00 203.70 219.91 235.10 36.1 36.0 35.8 35.7 35.3 4.86 5.25 5.69 6.16 6.66 273.90 301.20 332.88 365.07 397.06 42.4 43.4 43.4 43.0 43.3 6.46 6.94 7.67 8.49 9.17 283.73 295.65 318.69 342.99 367.78 36.8 36.5 36.8 37.0 37.0 7.71 8.10 8.66 9.27 9.94 209.32 228.90 249.27 269.34 288.62 40.1 40.3 40.4 40.2 39.7 5.22 5.68 6.17 6.70 7.27 1981 .................. 255.20 35.2 7.25 439.19 43.7 10.05 398.52 36.9 10.80 318.00 39.8 7.99 Trans portation and public utilities Finance, insurance, and real estate Wholesale and retail trade Services 405 39.4 38 6 37.9 37.7 $1.100 1.40 1.71 1.97 2.04 $50.52 63.92 75.14 85.79 88.91 37.7 37.6 37.2 37.3 37.2 $1.340 1.70 2.02 2.30 2.39 $70.03 73.60 36.1 35.9 $1.94 2.05 $118.78 125.14 41.1 41.3 $2.89 3.03 $44.55 55 16 66.01 74.66 76.91 .................. .................. .................. .................. .................. 128.13 130.82 138.85 147.74 155.93 41.2 40.5 40.6 40.7 40.5 3.11 3.23 3.42 3.63 3.85 79.39 82.35 87.00 91.39 96.02 37.1 36.6 36.1 35.7 35.3 2.14 2.25 2.41 2.56 2.72 92.13 95.72 101.75 108.70 112.67 37.3 37.1 37.0 37.1 36.7 2.47 2.58 2.75 2.93 3.07 77.04 80.38 83.97 90.57 96.66 35.5 35.1 34.7 34.7 34.4 2.17 2.29 2.42 2.61 2.81 1971.................. 1972 .................. 1973 .................. 1974 .................. 1975 .................. 168.82 187.86 203.31 217.48 233.44 40.1 40.4 40.5 40.2 39.7 4.21 4.65 5.02 5.41 5.88 101.09 106.45 111.76 119.02 126.45 35.1 34.9 34.6 34.2 33.9 2.88 3.05 3.23 3.48 3.73 117.85 122.98 129.20 137.61 148.19 36.6 36.6 36.6 36.5 36.5 3.22 3.36 3.53 3.77 4.06 103.06 110.85 117.29 126.00 134.67 33.9 33.9 33.8 33.6 33.5 3.04 3.27 3.47 3.75 4.02 1976 1977 1978 1979 1980 .................. .................. .................. .................. .................. 256.71 278.90 302.80 325.58 351.25 39.8 39.9 40.0 39.9 39.6 6.45 6.99 7.57 8.16 8.87 133.79 142.52 153.64 164.96 176.46 33.7 33.3 32.9 32.6 32.2 3.97 4.28 4.67 5.06 5.48 155.43 165.26 178.00 190.77 209.60 36.4 36.4 36.4 36.2 36.2 4.27 4.54 4.89 5.27 5.79 143.52 153.45 163.67 175.27 190.71 33.3 33.0 32.8 32.7 32.6 4.31 4.65 4.99 5.36 5.85 1981 .................. 382.18 39.4 9.70 190.95 32.2 5.93 229.05 36.3 6.31 208.97 32.6 6.41 1950 1955 1964 .................. 1965 .................. 1966 1967 1968 1969 1970 1Data include Alaska and Hawaii beginning in 1959. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 67 MONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Establishment Data 12. Weekly hours, by industry division and major manufacturing group, seasonally adjusted [Gross averages, production or nonsupervisory workers on private nonagricultural payrolls] Annual average 1981 1982 Industry division and group 1980 1981 Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July p Aug.p PRIVATE SECTOR.............................. 35.3 35.2 35.2 35.0 35.1 35.1 35.0 34.4 35.0 34.9 34.9 35.0 34.9 34.9 34.9 MANUFACTURING........................................ Overtime hours .................................... 39.7 2.8 39.8 2.8 39.9 3.0 39.4 2.7 39.5 2.7 39.3 2.5 39.1 2.4 37.6 2.3 39.4 2.4 39.0 2.3 39.0 2.4 39.1 2.3 39.2 2.4 39.3 2.4 39.0 2.4 Durable goods.............................. Overtime hours .................................. 40.1 2.8 40.2 2.8 40.4 3.0 39.7 2.7 40.0 2.6 39.7 2.4 39.5 2.3 38.2 2.2 39.8 2.2 39.5 2.2 39.5 2.2 39.6 2.2 39.7 2.3 39.7 2.2 39.5 2.3 Lumber and wood products.......................... Furniture and fixtures .................................... Stone, clay, and glass products...................... Primary metal industries .............................. Fabricated metal products.............................. 38.5 38.1 40.8 40.1 40.4 38.7 38.4 40.6 40.5 40.3 38.4 38.4 40.7 40.8 40.4 37.6 37.4 40.3 40.6 39.6 37.8 38.0 40.1 40.0 40.0 37.7 37.6 40.1 39.6 39.7 37.7 37.9 39.7 39.2 39.5 35.0 33.6 38.6 38.3 38.1 37.9 37.7 40.1 39.4 39.7 37.6 37.3 40.0 38.8 39.5 37.6 37.4 40.0 38.5 39.4 38.5 37.5 40.2 38.5 39.5 38.7 37.8 40.4 38.9 39.4 38.4 37.8 40.6 38.9 39.5 38.0 37.6 40.5 39.2 39.2 Machinery, except electrical .......................... Electric and electronic equipment.................... Transportation equipment .............................. Instruments and related products.................. Miscellaneous manufacturing.......................... 41.0 39.8 40.6 40.5 38.7 40.9 39.9 40.9 40.4 38.8 41.1 40.3 41.2 40.6 38.9 40.3 39.7 40.1 40.4 38.4 40.8 39.8 40.6 40.3 38.9 40.7 39.4 40.4 40.2 39.0 40.4 39.5 39.7 39.9 38.5 39.3 38.3 39.0 39.0 37.3 40.7 39.8 40.5 39.9 38.6 40.2 39.4 40.4 39.9 38.6 40.1 39.3 41.1 39.9 38.5 39.8 39.4 41.1 40.2 38.7 39.6 39.5 41.6 40.2 38.6 39.9 39.8 41.0 40.1 38.7 39.6 39.4 40.9 40.0 38.6 Nondurable goods ........................ Overtime hours ...................................... 39.0 2.8 39.1 2.8 39.2 2.9 38.9 2.8 38.9 2.8 38.7 2.7 38.6 2.6 36.8 2.5 38.9 2.6 38.5 2.5 38.4 2.6 38.5 2.5 38.6 2.5 38.7 2.6 38.4 2.6 Food and kindred products ............................ Textile mill products .................................... Apparel and other textile products.................. Paper and allied products .............................. 39.7 40.1 35.4 42.2 39.7 39.6 35.7 42.5 39.4 39.8 35.9 42.5 39.3 38.8 35.2 43.0 39.5 39.0 35.5 42.4 39.5 38.7 35.5 42.0 39.8 37.8 35.1 41.8 39.1 32.3 31.4 41.3 40.2 38.3 35.5 42.3 39.5 37.6 35.0 41.8 39.4 37.7 34.7 42.1 39.4 37.9 34.8 41.8 39.5 37.8 35.1 42.0 39.9 37.8 35.2 42.1 39.4 37.8 35.1 41.6 Printing and publishing.................................. Chemicals and allied products........................ Petroleum and coal products.......................... Rubber and miscellaneous plastics products . . . Leather and leather products.......................... 37.1 41.5 41.8 40.0 36.7 37.3 41.6 43.2 40.3 36.8 37.3 41.7 42.9 40.5 36.7 37.1 42.2 43.1 39.7 36.2 37.1 41.5 42.2 39.9 36.7 37.1 41.2 42.5 39.6 36.5 37.1 41.3 42.7 39.4 36.1 36.9 41.0 44.3 37.9 34.1 37.4 41.2 43.5 40.0 35.6 37.1 40.7 43.5 39.6 35.8 37.1 40.7 44.0 39.8 35.6 36.8 41.0 44.1 39.9 35.6 37.1 41.0 44.1 40.1 35.7 37.0 40.9 43.3 40.1 35.9 36.7 40.5 44.3 39.6 35.7 WHOLESALE AND RETAIL TRADE .................. 32.2 32.2 32.2 32.1 32.0 32.1 32.0 31.7 32.0 31.9 31.8 32.0 31.9 31.9 32.0 WHOLESALE TRADE.............................. 38.5 38.6 38.6 38.5 38.4 38.5 38.4 38.1 38.5 38.4 38.3 38.5 38.6 38.5 38.6 RETAIL TRADE .................... 30.2 30.1 30.1 30.1 29.9 30.0 29.9 29.7 29.9 29.8 29.8 30.0 29.8 29.9 30.0 SERVICES.......................................... 32.6 32.6 32.5 32.5 32.6 32.6 32.6 32.5 32.6 32.6 32.7 32.7 32.7 32.6 32.7 Note : The industry divisions of mining; construction; tobacco manufactures (a major manufacturing group, nondurable goods); transportation and public utilities; and finance, insurance, and real estate are no longer shown. This is because the seasonal component in these is small 68 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis relative to the trend-cycle, or irregular components, or both, and consequently cannot be precisely separated, p=preliminary. M ONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Establishment Data 13. Hourly earnings, by industry division and major manufacturing group [Gross averages, production or nonsupervisory workers on private nonagricultural payrolls] 1982 1981 Annual average Industry division and group 1980 1981 Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July2 Aug.p PRIVATE SECTOR ...................................... Seasonally adjusted .............................. $6.66 $7.25 n (’ ) $7.30 7.34 $7.40 7.37 $7.42 7.40 $7.47 7.45 $7.45 7.46 $7.55 7.52 $7.54 7.53 $7.55 7.54 $7.58 7.59 $7.63 7.65 $7.64 7.67 $7.67 7.70 $7.69 7.73 MINING.............................................................. 9.17 10.05 10.12 10.27 10.25 10.39 10.41 10.65 10.62 10.62 10.65 10.66 10.82 10.91 10.95 CONSTRUCTION................................................ 9.94 10.80 10.92 11.07 11.65 11.18 11.26 11.59 11.32 11.33 11.32 11.46 11.41 11.53 11.61 MANUFACTURING ............................................ 7.27 7.99 8.03 8.16 8.16 8.20 8.27 8.42 8.34 8.37 8.42 8.45 8.50 8.55 8.51 Durable goods............................................ Lumber and wood products .................... Furniture and fixtures.............................. Stone, clay, and glass products .............. Primary metal industries.......................... Fabricated metal products ...................... 7.75 6.55 5.49 7.50 9.77 7.45 8.53 7.00 5.91 8.27 10.81 8.20 8.59 7.13 5.99 8.41 10.99 8.26 8.70 7.16 6.01 8.53 11.22 8.33 8.73 7.10 6.06 8.50 10.97 8.39 8.77 7.16 6.05 8.54 11.10 8.42 8.83 7.16 6.12 8.56 11.08 8.53 8.92 7.38 6.28 8.70 11.23 8.55 8.89 7.27 6.19 8.62 11.20 8.57 8.91 7.28 6.21 8.65 11.15 8.64 8.94 7.24 6.21 8.72 11.24 8.69 9.01 7.41 6.23 8.80 11.23 8.79 9.06 7.59 6.30 8.86 11.31 8.83 9.11 7.63 6.33 8.93 11.38 8.85 9.09 7.61 6.36 8.92 11.45 8.88 Machinery, except electrical.................... Electric and electronic equipment............ Transportation equipment........................ Instruments and related products ............ Miscellaneous manufacturing .................. 8.00 6.94 9.35 6.80 5.46 8.81 7.62 10.39 7.43 5.96 8.84 7.73 10.37 7.55 5.96 8.96 7.75 10.49 7.59 6.05 9.04 7.80 10.74 7.60 6.05 9.08 7.83 10.74 7.68 6.11 9.18 7.90 10.76 7.81 6.19 9.19 7.98 10.79 7.93 6.27 9.20 7.96 10.82 7.94 6.29 9.18 8.01 10.89 8.00 6.32 9.24 8.03 10.89 8.07 6.35 9.26 8.05 11.08 8.16 6.38 9.27 8.09 11.21 8.23 6.41 9.31 8.18 11.26 8.30 6.40 9.34 8.25 11.21 8.36 6.37 Nondurable goods...................................... Food and kindred products...................... Tobacco manufactures............................ Textile mill products................................ Apparel and other textile products .......... Paper and allied products........................ 6.55 6.85 7.74 5.07 4.56 7.84 7.18 7.43 8.88 5.52 4.96 8.60 7.23 7.48 8.70 5.65 4.96 8.67 7.36 7.56 8.76 5.69 5.04 8.95 7.33 7.51 8.67 5.72 5.05 8.82 7.38 7.61 9.04 5.73 5.04 8.89 7.44 7.67 8.96 5.72 5.04 8.96 7.67 7.82 9.21 5.76 5.18 9.06 7.54 7.74 9.56 5.76 5.13 8.99 7.57 7.79 9.72 5.76 5.15 9.03 7.65 7.90 10.05 5.79 5.18 9.11 7.66 7.92 9.93 5.79 5.16 9.14 7.70 7.90 10.35 5.79 5.18 9.28 7.77 7.87 10.32 5.81 5.18 9.40 7.73 7.84 9.42 5.82 5.19 9.40 7.53 8.30 10.10 6.52 4.58 8.18 9.12 11.38 7.16 4.99 8.25 9.19 11.32 7.23 4.97 8.37 9.38 11.55 7.29 5.09 8.40 9.37 11.47 7.30 5.09 8.42 9.42 11.58 7.31 5.11 8.48 9.53 11.59 7.38 5.15 8.58 9.68 11.91 7.51 5.19 8.56 9.68 12.29 7.49 5.22 8.59 9.71 12.32 7.45 5.24 8.59 9.81 12.50 7.52 5.32 8.61 9.83 12.52 7.56 5.32 8.66 9.95 12.53 7.64 5.36 8.72 10.01 12.40 7.67 5.31 8.76 10.01 12.39 7.63 5.38 TRANSPORTATION AND PUBLIC UTILITIES . . . 8.87 9.70 9.87 9.95 9.94 10.05 10.06 10.10 10.13 10.07 10.14 10.17 10.20 10.26 10.41 WHOLESALE AND RETAIL TRADE .................... 5.48 5.93 5.94 6.04 6.01 6.04 6.02 6.17 6.16 6.16 6.18 6.20 6.20 6.20 6.21 8.01 8.06 8.09 Printing and publishing............................ Chemicals and allied products ................ Petroleum and coal products .................. Rubber and miscellaneous plastics products Leather and leather products .................. WHOLESALE TRADE.......................................... 6.96 7.57 7.65 7.70 7.73 7.79 7.81 7.94 7.94 7.93 7.97 8.03 RETAIL TRADE.................................................. 4.88 5.25 5.25 5.37 5.29 5.32 5.31 5.43 5.42 5.43 5.44 5.47 5.47 5.47 5.47 6.77 6.84 6.86 6.90 FINANCE, INSURANCE, AND REAL ESTATE . . . . 5.79 6.31 6.38 6.39 6.43 6.52 6.47 6.56 6.62 6.59 6.64 6.77 6.71 SERVICES.......................................................... 5.85 6.41 6.41 6.52 6.58 6.67 6.66 6.79 6.79 6.77 6.81 6.85 6.84 ' Not available. 14. p=preliminary. Hourly Earnings Index, for production workers on private nonagricultural payrolls, by industry [1977 = 100] Seasonally adjusted Not seasonally adjusted Industry PRIVATE SECTOR (in current dollars) Mining.................................................. Construction ........................................ Manufacturing ...................................... Transportation and public utilities............ Wholesale and retail trade .................... Finance, insurance, and real estate........ Services .............................................. PRIVATE SECTOR (in constant dollars) Apr. 1982 May 1982 June 1982 July 1982 2 Aug. 1982 2 Percent change from: July 1982 to Aug. 1982 June 1982 July 1982 2 Aug. 1982» 140.0 147.6 148.5 149.1 6.5 140.5 146.3 147.7 148.1 148.8 149.7 0.6 149.5 133.6 142.9 141.6 139.1 139.7 138.0 159.6 139.1 152.4 147.3 144.9 146.9 146.6 161.6 140.7 153.3 147.7 145.2 148.2 147.6 162.0 141.6 153.4 149.8 145.6 149.8 148.4 8.3 6.0 7.3 5.8 4.7 7.3 7.5 (’ ) 132.8 143.5 141.6 139.7 14(5.1 139.2 ( ') 138.7 150.8 146.9 143.7 144.9 145.1 '(’ ) 139.9 151.8 148.2 145.1 148.0 146.5 (’ ) 139.7 152.5 149.1 145.2 147.2 147.3 n 140.5 153.3 148.3 145.4 148.5 148.5 (’ ) 140.7 154.0 149.8 146.2 150.3 149.7 n 91.9 92.4 92.3 (2) <2) 92.5 93.7 93.7 93.1 92.9 (2) 1This series is not seasonally adjusted because the seasonal component is small relative to the trend-cycle, irregular components, or both, and consequently cannot be separated with sufficient precision. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Aug. 1981 Aug. 1981 Percent change from: Aug. 1981 to Aug. 1982 .1 .4 1.0 .5 1.2 .8 (2) 2Not available p = preliminary, 69 MONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Establishment Data 15. Weekly earnings, by industry division and major manufacturing group [Gross averages, production or nonsupervisory workers on private nonagricultural payrolls] Industry division and group Annual average 1980 1981 1982 1981 Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July p Aug.p $235.10 ( 1) 172.74 $255.20 (’ ) 170.13 $259.88 258.37 170.64 $259.74 257.95 168.88 $261.18 259.74 169.49 $262.20 261.50 169.71 $262.24 261.10 169.30 $255.95 258.69 164.70 $262.39 263.55 168.31 $261.99 263.15 168.37 $262.27 264.89 167.80 $265.52 267.75 168.16 $267.40 267.68 167.33 $269.98 268.73 167.90 $271.46 ( 1) 168.82 MINING ...................... 397.06 439.19 447.30 450.85 456.13 461.32 466.37 456.89 463.03 465.16 454.76 454.12 463.10 465.86 458.81 CONSTRUCTION 367.78 398.52 408.41 396.31 419.62 414.78 417.75 385.95 406.39 419.21 415.44 429.75 427.88 439.29 437.70 MANUFACTURING Current dollars.......................... Constant (1977) dollars ........ 288.62 212.06 318.00 212.00 320.40 210.37 322.32 209.57 323.95 210.22 325.54 210.71 329.97 213.02 312.38 201.02 326.93 209.70 327.27 210.33 325.85 208.48 329.55 208.71 334.05 209.04 333.45 207.37 (’ ) 206.40 Durable goods .. Lumber and wood products . . . Furniture and'fixtures .............. Stone, clay, and glass products . . Primary metal industries . . . . Fabricated metal products . . . . 310.78 252.18 209.17 306.00 391.78 300.98 342.91 270.90 226.94 335.76 437.81 330.46 345.32 278.07 231.21 344.81 442.90 332.88 346.26 271.36 226.58 346.32 457.78 330.70 350.07 271.22 233.92 344.25 435.51 337.28 351.68 269.93 230.51 345.87 440.67 337.64 356.73 272.80 238.07 343.26 438.77 345.47 336.28 248.71 204.10 325.38 431.23 323.19 352.93 272.63 231.51 337.90 443.52 337.66 352.84 273.73 233.50 344.27 434.85 342.14 350.45 270.05 230.39 347.93 434.99 338.91 355.90 285.29 231.76 355.52 430.11 346.33 360.59 297.53 238.77 361.49 439.96 349.67 357.11 292.99 234.21 362.56 438.13 344.27 357.24 293.75 240.41 363.94 443.12 347.21 328.00 276.21 379.61 275.40 211.30 360.33 304.04 424.95 300.17 231.25 359.79 309.20 421.02 305.02 231.84 361.98 307.68 418.55 306.64 234.14 367.93 311.22 440.34 307.04 237.77 372.28 311.63 438.19 313.34 241.35 381.89 319.16 445.46 317.87 242.03 360.25 304.04 414.34 306.10 229.48 374.44 316.81 437.13 317.60 241.54 370.87 316.40 439.96 320.80 244.58 367.75 313.17 441.05 318.77 242.57 367.62 315.56 455.39 327.22 245.63 367.09 319.56 466.34 330.85 247.43 364.95 319.84 457.16 327.85 244.48 366.13 323.40 452.88 332.73 245.88 255.45 271.95 294.89 203.31 161.42 330.85 280.74 294.97 344.54 218.59 177.07 365.50 284.86 298.45 354.09 225.44 180.05 367.61 287.78 300.89 352.15 221.34 177.41 386.64 286.60 296.65 341.60 225.37 180.79 373.97 288.56 302.88 350.75 224.62 180.43 376.05 291.65 309.87 341.38 220.79 178.92 382.59 277.65 302.63 332.48 179.71 155.40 374.18 291.04 307.28 366.15 219.46 180.58 377.58 289.93 303.81 362.56 217.15 180.77 376.55 291.47 306.52 367.83 215.39 178.19 380.80 294.14 312.05 369.40 219.44 180.08 379.31 297.99 312.05 397.44 220.60 183.89 389.76 299.92 314.80 385.97 216.71 183.37 392.92 298.38 312.82 365.50 220.58 184.25 390.10 279.36 344.45 422.18 305.11 379.39 491.62 309.38 380.47 486.76 313.04 395.84 512.82 312.48 388.86 494.36 314.07 391.87 499.10 321.39 398.35 493.73 312.31 394.94 514.51 317.58 397.85 518.64 318.69 395.20 522.37 316.11 399.27 550.00 315.99 401.06 549.63 319.55 406.96 553.83 321.77 407.41 545.60 324.12 403.40 550.12 260.80 168.09 288.55 183.63 292.09 183.39 289.41 183.24 293.46 186.80 291.67 187.03 295.94 187.46 283.88 172.83 298.85 184.27 295.77 186.54 297.04 187.26 300.13 191.52 306.36 196.71 302.97 190.63 302.15 193.14 TRANSPORTATION AND PUBLIC UTILITIES 351.25 382.18 389.87 390.04 388.65 393.96 395.36 388.85 397.10 392.73 393.43 394.60 399.84 404.24 410.15 WHOLESALE AND RETAIL TRADE 176.46 190.95 194.83 194.49 192.32 192.68 194.45 191.89 194.66 194.66 195.91 197.78 199.02 202.12 203.07 WHOLESALE TRADE . . 267.96 292.20 296.06 296.45 298.38 &0.69 302.25 300.13 303.31 303.72 304.45 308.35 309.19 311.92 313.08 RETAIL TRADE 147.38 158.03 162.23 162.17 157.64 158.54 160.89 157.47 159.35 159.64 161.02 163.01 164.65 167.93 168.48 209.60 229.05 232.23 230.04 232.77 236.02 234.21 237.47 239.64 239.22 240.37 245.75 242.23 245.75 248.98 190.71 208.97 210.89 211.25 213.85 216.78 217.12 219.32 220.68 220.03 221.33 222.63 224.35 227.07 228.39 PRIVATE SECTOR Current dollars.................. Seasonally adjusted.............. Constant (1977) dollars........ Machinery except electrical . . . . Electric and electronic equipment........ Transportation equipment ........ Instruments and related products Miscellaneous manufacturing.......... Nondurable goods........ Food and kindred products . . . Tobacco manufactures ............ Textile mill products ........ Apparel and other textile products .. Paper and allied products . . . . Printing and publishing............ Chemicals and allied products Petroleum and coal products . Rubber and miscellaneous plastics products............ Leather and leather products .. .. FINANCE, INSURANCE, AND REAL ESTATE SERVICES............ Not available. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis p = preliminary. UNEMPLOYMENT INSURANCE DATA N a t i o n a l u n e m p l o y m e n t i n s u r a n c e d a t a are compiled monthly by the Employment and Training Administration of the U.S. Department of Labor from monthly reports of unem ployment insurance activity prepared by State agencies. Rail road unemployment insurance data are prepared by the U.S. Railroad Retirement Board. ployed. Persons not covered by unemployment insurance (about 10 percent of the labor force) and those who have exhausted or not yet earned benefit rights are excluded from the scope of the survey. In i tial claim s are notices filed by persons in unemployment insurance programs to indicate they are out of work and wish to begin receiv ing compensation. A claimant who continued to be unemployed a full week is then counted in the insured unemployment figure. The rate of insured unem ploym ent expresses the number of insured unem ployed as a percent of the average insured employment in a 12-month period. Definitions An application for benefits is filed by a railroad worker at the be ginning of his first period of unemployment in a benefit year; no ap plication is required for subsequent periods in the same year. N u m ber of paym ents are payments made in 14-day registration periods. The average am ount of b en efit paym ent is an average for all com pensable periods, not adjusted for recovery of overpayments or set tlement of underpayments. However, total b en efits paid have been adjusted. Data for all program s represent an unduplicated count of insured unemployment under State programs, Unemployment Compensation for Ex-Servicemen, and Unemployment Compensation for Federal Employees, and the Railroad Insurance Act. Under both State and Federal unemployment insurance programs for civilian employees, insured .workers must report the completion of at least 1 week of unemployment before they are defined as unem 16. Unemployment insurance and employment service operations [All Items except average benefits amounts are in thousands] 1982 1981 Item July All programs: Insured unemployment ........................ State unemployment insurance program:1 Initial claims2 ...................................... Insured unemployment (average weekly volume)................................ Rate of insured unemployment ............ Weeks of unemployment compensated .................................. Average weekly benefit amount for total unemployment .................... Total benefits paid .............................. Unemployment compensation for exservicemen: 3 Initial claims1 ...................................... Insured unemployment (average weekly volume)................................ Weeks of unemployment compensated .................................. Total benefits paid .............................. Unemployment compensation for Federal civilian employees:4 Initial claims........................................ Insured unemployment (average weekly volume)................................ Weeks of unemployment compensated .................................. Total benefits paid .............................. Railroad unemployment insurance: Applications ........................................ Insured unemployment (average weekly volume)................................ Number of payments .......................... Average amount of benefit payment.......................................... Total benefits paid .............................. Employment service:5 New applications and renewals ............ Nonfarm placements............................ Sept. Aug. 3,012 2,874 Nov. Oct. 2,680 2,753 3,228 Jan. 3,935 Mar. Feb. 4,681 4,723 Apr. 4,892 May June July1* 4,760 4,388 4,328 4,493 2,114 1,610 1,681 1,996 2,286 3,272 3,328 2,272 2,418 2,347 r 1,989 '2,399 2,654 2,743 3.1 2,656 3.0 2,488 2.9 2,592 3.0 3,061 3.5 3,778 4.3 4,470 5.1 4,376 5.0 4,282 4.9 4,067 4.6 3,729 4.3 3,707 4.3 3,910 4.6 10,486 9,594 9,565 9,424 10,052 14,592 15,962 15,631 18,144 16,156 113,680 '14,637 14,656 $105.94 $103.47 $107.39 $1,061,899 $1,004,864 $1,001,020 $114.83 $116.95 $108.92 $110.52 $112.83 $117.10 $117.51 $118.07 $118.50 $117.27 $997,757 $1,080,810 $1,592,546 $1,764,206 $1,781,830 $2,072,642 $1,848,260 r $1,573,461 '$1,689,079 $1,679,416 22 19 15 11 9 11 8 8 10 9 8 10 10 44 44 34 26 22 19 16 13 11 10 9 8 7 203 $22,785 190 $21,425 153 $17,144 116 $12,952 91 $10,043 93 $10,155 65 $7,098 49 $5,304 48 $5,141 37 $4,029 31 '$3,395 29 '$3,310 25 $2,821 15 17 18 20 16 17 17 12 13 13 11 14 13 25 25 29 32 36 39 40 40 38 33 29 28 29 105 $10,805 102 $9,543 100 $10,495 112 $11,719 127 $13,491 174 $18,891 162 $18,040 154 $17,517 172 $19,677 147 $16,821 '120 '$13,526 '123 '$13,907 120 $12,445 41 13 15 21 13 19 22 11 9 5 5 36 68 28 32 29 63 34 74 40 86 44 83 54 117 75 153 67 140 65 154 57 130 44 95 44 93 55 100 $199.63 $11,541 $202.53 $7,071 $207.98 15,046 $197.26 15,994 $207.08 $16,377 $212.33 $25,292 $213.39 $30,544 $214.07 $28,011 $215.71 $33,853 $209.48 $26,262 $200.75 $19,110 $199.15 $18,574 $202.54 $17,998 16,502 3,509 11nitial claims and State insured unemployment include data under the program for Puerto Rican sugarcane workers. 2 Excludes transition claims under State programs. 3 Excludes data on claims and payments made jointly with other programs. 4 Excludes data on claims and pauments made jointly with State programs. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Dec. 4,081 731 7,439 1,232 10,965 1,902 5 Cumulative total for fiscal year (October 1-September 30). Data computed quarterly, N ote : pata for Puert0 Rico an(j the V jrgin|S|an(js included. Dashes indicate data not available. r=revised. p=preliminary. 71 PRICE DATA P r i c e d a t a 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). Definitions The C onsum er P rice In d ex is a monthly statistical measure of the average change in prices in a fixed market basket of goods and ser vices. Effective with the January 1978 index, the Bureau of Labor Sta tistics began publishing CPI’s for two groups of the population. One index, a new CPI for All Urban Consumers, covers 80 percent of the total noninstitutional population; and the other index, a revised CPI for Urban Wage Earners and Clerical Workers, covers about half the new index population. The All Urban Consumers index includes, in addition to wage earners and clerical workers, professional, manageri al, and technical workers, the self-employed, short-term workers, the unemployed, retirees, and others not in the labor force. The CPI is based on prices of food, clothing, shelter, fuel, drugs, transportation fares, doctor’s and dentist’s fees, and other goods and services that people buy for day-to-day living. The quantity and quali ty of these items is kept essentially unchanged between major revi sions so that only price changes will be measured. Prices are collected from over 18,000 tenants, 24,000 retail establishments, and 18,000 housing units for property taxes in 85 urban areas across the country. All taxes directly associated with the purchase and use of items are included in the index. Because the CPI’s are based on the expendi tures of two population groups in 1972—73, they may not accurately reflect the experience of individual families and single persons with different buying habits. Though the CPI is often called the “Cost-of-Living Index,” it meas ures only price change, which is just one of several important factors affecting living costs. Area indexes do not measure differences in the level of prices among cities. They only measure the average change in prices for each area since the base period. P rod ucer P rice In d ex es measure average changes in prices received in primary markets of the United States by producers of commodities in all stages of processing. The sample used for calculating these in dexes contains about 2,800 commodities and about 10,000 quotations per month selected to represent the movement of prices of all com modities produced in the manufacturing, agriculture, forestry, fishing, mining, gas and electricity, and public utilities sectors. The universe includes all commodities produced or imported for sale in commercial transactions in primary markets in the United States. Producer Price Indexes can be organized by stage of processing or by commodity. The stage of processing structure organizes products by degree of fabrication (that is, finished goods, intermediate or semifinished goods, and crude materials). The commodity structure organizes products by similarity of end-use or material composition. To the extent possible, prices used in calculating Producer Price In dexes apply to the first significant commercial transaction in the Unit ed States, from the production or central marketing point. Price data are generally collected monthly, primarily by mail questionnaire. Digitized72 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Most prices are obtained directly from producing companies on a vol untary and confidential basis. Prices generally are reported for the Tuesday of the week containing the 13th day of the month. In calculating Producer Price Indexes, price changes for the vari ous commodities are averaged together with implicit quantity weights representing their importance in the total net selling value of all com modities as of 1972. The detailed data are aggregated to obtain in dexes for stage of processing groupings, commodity groupings, dura bility of product groupings, and a number of special composite groupings. P rice in d exes for the output of se lected S IC industries measure av erage price changes in commodities produced by particular industries, as defined in the Standard Industrial Classification Manual 1972 (Washington, U.S. Office of Management and Budget, 1972). These indexes are derived from several price series, combined to match the economic activity of the specified industry and weighted by the value of shipments in the industry. They use data from comprehensive in dustrial censuses conducted by the U.S. B u re au of the C en su s a n d the U.S. Department of Agriculture. Notes on the data Beginning with the May 1978 issue of the Review, regional CPI’s cross classified by population size, were introduced. These indexes will enable users in local areas for which an index is not published to get a better approximation of the CPI for their area by using the appropri ate population size class measure for their region. The cross-classified indexes will be published bimonthly. (See table 19.) For further details about the new and the revised indexes and a comparison of various aspects of these indexes with the old unrevised CPI, see Facts About the Revised Consumer Price Index, a pamphlet in the Consumer Price Index Revision 1978 series. See also The Consumer Price Index: Concepts and Content Over the Years, Report 517, revised edition (Bureau of Labor Statistics, May 1978). For interarea comparisons of living costs at three hypothetical stand ards of living, see the family budget data published in the Handbook o f Labor Statistics, 1977, Bulletin 1966 (Bureau of Labor Statistics, 1977), tables 122-133. Additional data and analysis on price changes are provided in the CPI Detailed Report and Producer Prices and Price Indexes, both monthly publications of the Bureau. As of January 1976, the Wholesale Price Index (as it was then called) incorporated a revised weighting structure reflecting 1972 val ues of shipments. From January 1967 through December 1975, 1963 values of shipments were used as weights. For a discussion of the general method of computing consumer, producer, and industry price indexes, see BLS Handbook o f Methods fo r Surveys and Studies, Bulletin 1910 (Bureau of Labor Statistics, 1976), chapters 13-15. See also John F. Early, “Improving the meas urement of producer price change,” Monthly Labor Review, April 1978, pp. 7-15. For industry prices, see also Bennett R. Moss, “In dustry and Sector Price Indexes,” Monthly Labor Review, August 1965, pp. 974-82. 17. Consumer Price Index for Urban Wage Earners and Clerical Workers, annual averages and changes, 1967-31 [1967 = 100] Food and beverages All Items Year Index Percent change Index Apparel and upkeep Housing Percent change Index Percent change Index Transportation Percent change Index Percent change Index Percent change Other goods and services Entertainment Medical care Index Percent change Index Percent change 1967 1968 1969 1970 .................. .................. .................. .................. 100.0 104.2 109.8 116.3 4.2 5.4 5.9 100.0 103.6 108.8 114.7 3.6 5.0 5.4 100.0 104.0 110.4 118.2 4.0 6.2 7.1 100.0 105.4 111.5 116.1 5.4 5.8 4.1 100.0 103.2 107.2 112.7 3.2 3.9 5.1 100.0 106.1 113.4 120.6 6.1 6.9 6.3 100.0 105.7 111.0 116.7 5.7 5.0 5.1 100.0 105.2 110.4 116.8 5.2 4.9 5.8 1971 1972 1973 1974 1975 .................. .................. .................. .................. .................. 121.3 125.3 133.1 147.7 161.2 4.3 3.3 6.2 11.0 9.1 118.3 123.2 139.5 158.7 172.1 3.1 4.1 13.2 13.8 8.4 123.4 128.1 133.7 148.8 164.5 4.4 3.8 4.4 11.3 10.6 119.8 122.3 126.8 136.2 142.3 3.2 2.1 3.7 7.4 4.5 118.6 119.9 123.8 137.7 150.6 5.2 1.1 3.3 11.2 9.4 128.4 132.5 137.7 150.5 168.6 6.5 3.2 3.9 9.3 12.0 122.9 126.5 130.0 139.8 152.2 5.3 2.9 2.8 7.5 8.9 122.4 127.5 132.5 142.0 153.9 4.8 4.2 3.9 7.2 8.4 1976 1977 1978 1979 1980 .................. .................. .................. .................. .................. 170.5 181.5 195.3 217.7 247.0 5.8 6.5 7.6 11.5 13.5 177.4 188.0 206.2 228.7 248.7 3.1 6.0 9.7 10.9 8.7 174.6 186.5 202.6 227.5 263.2 6.1 6.8 8.6 12.3 15.7 147.6 154.2 159.5 166.4 177.4 3.7 4.5 3.4 4.3 6.6 165.5 177.2 185.8 212.8 250.5 9.9 7.1 4.9 14.5 17.7 184.7 202.4 219.4 240.1 267.2 9.5 9.6 8.4 9.4 11.3 159.8 167.7 176.2 187.6 203.7 5.0 4.9 5.1 6.5 8.5 162.7 172.2 183.2 196.3 213.6 5.7 5.8 6.4 7.2 8.8 1981 .................. 272.3 10.2 267.8 7.7 293.2 11.4 186.6 5.2 281.3 12.3 295.1 10.4 219.0 7.5 233.3 9.2 18. Consumer Price Index for All Urban Consumers and revised CPI for Urban Wage Earners and Clerical Workers, U.S. city average— general summary and groups, subgroups, and selected items [1967=100 unless otherwise specified] Urban Wage Earners and Clerical Workers (revised) All Urban Consumers General summary 1982 1981 1982 1981 July Feb. Mar. Apr. May June July July Feb. Mar. Apr. May June July All items...................................................................................... 274.4 283.4 283.1 284.3 287.1 290.6 292.2 274.6 282.9 282.5 283.7 286.5 290.1 291.8 Food and beverages .................................................................... Housing........................................................................................ Apparel and upkeep...................................................................... Transportation .............................................................................. Medical care ................................................................................ Entertainment .............................................................................. Other goods and services.............................................................. 268.9 297.0 184.7 282.6 2956 221.1 234.4 275.8 307.3 188.0 288.0 316.2 231.2 250.3 275.6 306.7 191.1 285.1 318.8 232.8 252.2 276.5 309.4 191.9 282.9 321.7 233.9 253.8 278.1 313.8 191.5 285.6 323.8 234.4 255.0 280.2 317.5 190.8 292.8 326.4 235.6 255.8 280.8 319.2 189.7 296.1 330.0 236.6 257.2 269.4 297.0 185.5 283.9 295.4 218.7 232.4 276.0 306.7 187.3 289.6 314.9 228.1 247.1 275.9 306.2 190.5 286.6 317.4 229.5 249.3 276.8 309.2 191.2 284.3 320.2 230.5 250.9 278.4 313.7 190.6 287.1 322.3 231.1 252.4 280.5 317.5 189.6 294.5 324.8 232.3 253.1 281.2 319.3 188.7 297.9 328.1 233.5 254.5 Commodities................................................................................ Commodities less food and beverages .................................... Nondurables less food and beverages.................................. Durables............................................................................ 255.0 244.7 262.9 229.6 259.5 248.1 265.3 233.7 258.8 247.1 263.4 233.5 258.9 247.0 259.7 235.8 261.5 249.8 261.0 239.8 265.1 254.0 266.3 243.2 266.5 255.7 268.2 244.7 255.7 245.5 266.0 228.4 259.9 248.6 267.5 232.5 259.1 247.5 265.3 232.4 259.2 247.2 261.3 234.8 261.7 250.1 262.6 238.9 265.4 254.5 268.2 242.3 266.9 256.3 270.3 243.9 Services ...................................................................................... Rent, residential.................................................................. Household services less rent .............................................. Transportation services........................................................ Medical care services.......................................................... Other services.................................................................... 308.8 207.8 374.8 275.0 319.2 237.6 325.3 218.6 393.7 287.6 342.4 253.0 325.5 219.6 392.5 288.8 345.1 254.0 328.4 220.1 397.3 290.3 348.0 255.3 331.8 221.8 403.0 291.3 350.2 255.9 334.9 222.6 407.7 294.7 353.0 257.0 337.0 224.8 409.4 297.2 357.3 258.0 309.6 207.4 379.4 273.8 318.5 236.8 325.5 218.1 397.7 286.7 340.6 251.3 325.8 219.1 396.6 287.9 343.0 252.4 329.1 219.6 402.3 289.2 345.8 253.8 332.4 221.3 408.2 290.0 348.0 254.4 335.7 222.1 413.3 293.2 350.7 255.5 337.9 224.3 415.3 295.7 354.7 256.6 All items less food ........................................................................ All items less mortgage Interest costs ............................................ Commodities less food.................................................................. Nondurables less food .................................................................. Nondurables less food and apparel................................................ Nondurables ................................................................................ Services less rent ........................................................................ Services less medical ca re ............................................................ Domestically produced farm foods ................................................ Selected beef cuts........................................................................ Energy ........................................................................................ All items less energy .................................................................... All items less food and energy ............................................ Commodities less food and energy.................................... Energy commodities ........................................................ Services less energy........................................................ 272.7 259.3 242.6 257.5 297.8 267.1 328.1 305.4 259.5 275.3 415.7 263.5 259.0 219.4 451.3 304.9 282.1 267.1 246.0 260.1 300.5 271.7 345.7 321.1 265.1 271.7 413.0 273.4 269.5 224.5 440.1 321.9 281.7 267.2 245.2 258.4 296.6 270.7 345.7 321.1 263.8 272.0 406.1 273.6 269.8 225.3 424.5 321.5 282.9 267.9 245.0 255.0 291.4 269.3 349.1 324.0 264.5 275.1 395.7 275.7 272.2 227.2 406.6 324.5 286.0 270.3 247.8 256.2 293.4 270.7 352.8 327.5 267.1 281.6 402.1 278.3 274.9 229.9 410.2 327.2 289.7 273.6 251.9 261.2 301.0 274.4 356.5 330.7 270.3 289.1 418.6 280.7 277.3 232.1 430.8 329.9 291.5 275.1 253.5 263.0 304.3 275.7 358.5 332.5 270.7 287.4 424.5 282.0 278.7 233.1 438.2 331.8 273.1 260.0 243.5 260.4 299.8 268.7 329.3 306.3 259.0 277.9 418.9 262.7 258.1 218.7 451.9 305.7 281.7 267.2 246.6 262.2 302.0 272.8 346.3 321.6 264.0 273.1 415.4 272.1 268.0 223.6 440.7 322.2 281.3 267.3 245.6 260.2 297.8 271.6 346.4 321.6 262.7 273.3 407.9 272.3 268.3 224.5 425.0 321.8 282.5 267.9 245.3 256.6 292.3 270.1 350.2 324.9 263.5 276.4 396.9 274.5 270.9 226.4 406.9 325.2 285.6 270.3 248.1 257.8 294.4 271.5 353.8 328.3 266.0 283.1 403.1 277.0 273.6 229.1 410.5 327.9 289.4 273.7 252.4 263.0 302.4 275.4 357.7 331.7 269.2 290.6 420.4 279.4 276.0 231.3 431.6 330.6 291.4 275.3 254.1 265.0 305.8 276.8 359.9 333.6 269.7 288.8 426.5 280.8 277.6 232.4 439.0 332.6 Purchasing power of the consumer dollar, 1967 - $1 .................... $0,364 $0,353 $0,353 $0,352 $0,348 $0,344 $0,342 $0,364 $0,353 $0,354 $0,352 $0,349 $0,345 $0,343 Special Indexes: https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 73 M ONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Consumer Prices 18. Continued— Consumer Price Index— U.S. city average [1967 = 100 unless otherwise specified] All Urban Consumers General summary 1981 July Urban Wage Earners and Clerical Workers (revised) 1982 Feb. Mar. Apr. 1981 May June July July 1982 Feb. Mar. Apr. May June July FOOD AND BEVERAGES ........................ 268.9 275.8 275.6 276.5 278.1 280.2 280.8 269.4 276.0 275.9 276.8 278.4 280.5 281.2 Food................................................................ 276.2 283.3 283.0 283.9 285.5 287.8 288.5 276.6 283.4 283.1 284.1 285.7 288.0 288.6 Food at home...................................... Cereals and bakery products .................................. Cereals and cereal products (12/77 = 100) .................... Flour and prepared flour mixes (12/77 = 100).................... Cereal (12/77 = 100).............................................. Rice, pasta, and cornmeal (12/77 = 100) .......................... Bakery products (12/77 = 100)............................ White bread .......................................... Other breads (12/77 = 100).................................... Fresh biscuits, rolls, and muffins (12/77 = 1 0 0 ).................. Fresh cakes and cupcakes (12/77 = 100)...................... Cookies (12/77 = 100).......................................... Crackers, bread, and cracker products (12/77 = 100) ........ Fresh sweetrolls, coffeecake, and donuts (12/77 = 100) . . . Frozen and refrigerated bakery products and fresh pies, tarts, and turnovers (12/77 = 100) .......... 271.6 272.4 149.0 139.5 153.4 151.2 142.5 236.4 140.6 142.4 142.7 143.0 131.6 143.9 278.0 280.9 154.0 139.1 164.8 152.4 146.8 243.8 143.7 146.4 147.0 149.2 135.4 147.0 277.1 281.3 153.9 139.2 165.2 151.2 147.1 242.3 145.1 148.4 148.0 149.4 135.3 146.3 277.9 281.7 153.6 139.7 165.4 149.6 147.5 242.8 145.2 147.6 148.4 150.2 137.3 146.8 279.8 283.3 154.5 141.8 165.7 150.2 148.3 243.8 146.3 149.7 149.0 150.5 139.6 147.3 282.6 283.6 154.5 142.1 166.1 149.4 148.6 242.4 145.6 149.9 149.2 150.7 140.9 148.9 282.8 284.3 154.8 143.5 166.3 148.9 149.0 246.1 145.1 148.9 148.9 150.0 141.8 148.5 271.1 271.5 150.6 141.9 154.8 153.2 141.4 233.9 142.9 141.7 141.4 142.6 131.2 142.8 277.0 279.8 155.0 139.6 166.8 153.6 145.7 240.0 145.5 142.8 145.8 150.1 136.8 149.3 276.2 280.0 154.8 139.6 167.2 152.4 146.0 238.3 147.0 144.6 146.4 150.2 136.5 148.7 277.0 280.4 154.6 140.1 167.4 150.8 146.3 238.8 147.1 143.8 146.8 151.2 138.7 149.3 278.8 282.0 155.4 142.1 167.8 151.5 147.2 240.0 148.2 146.0 147.4 151.4 141.0 149.9 281.6 282.3 155.5 142.5 168.2 150.6 147.4 238.3 147.5 146.2 147.5 151.5 142.3 151.5 281.9 283.0 155.8 144.0 168.5 150.0 147.8 241.9 147.0 145.4 147.2 150.9 143.2 151.1 147.2 151.5 153.5 153.4 153.6 156.3 156.2 140.9 144.8 146.8 146.5 146.7 149.4 149.2 Meats, poultry, fish, and egg s.................................. Meats, poultry, and fish .................................... Meats ............................................ Beef and veal ............................ Ground beef other than canned........................ Chuck roast.................................... Round roast........................................ Round steak .................................. Sirloin steak.................................... Other beef and veal (12/77 = 100) . . . Pork................................ Bacor ........................................ Chops .......................................... Flam other than canned (12/77 = 100)........ Sausage ...................................... Canned ham .................................. Other pork (12/77 = 100) .......................... Other meats .............................. Frankfurters.......................... Bologna, liverwurst, and salami (12/77 = 1 0 0 ) ............ Other lunchmeats (12/77 = 100). . . Lamb and organ meats (12/77 = 10 0 )...................... Poultry.................................. Fresh whole chicken.................... Fresh and frozen chicken parts (12/77 = 100) . Other poultry (12/77 = 100) .................. Fish and seafood .................... Canned fish and seafood (12/77 = 100).............. Fresh and frozen fish and seafood (12/77 = 100) Eggs ...................................................................................... 254.1 260.7 259.6 274.5 264.5 283.5 245.6 258.9 284.3 163.5 231.5 228.1 221.8 102.0 289.7 233.0 133.6 258.4 251.8 145.9 129.1 147.6 204.8 206.9 133.0 130.0 356.9 140.6 133.1 174.2 256.8 261.2 260.2 271.5 265.0 285.8 245.3 256.1 257.1 161.4 238.9 245.6 222.1 107.0 300.0 246.1 133.8 258.1 258.0 146.1 131.7 137.7 195.7 196.3 128.9 123.2 373.8 140.9 143.2 205.1 256.9 262.1 261.2 271.7 265.8 284.3 243.0 258.8 260.6 161.5 239.5 249.6 216.3 109.2 305.8 247.6 132.6 262.4 260.5 149.2 133.7 141.0 194.7 195.1 127.5 123.9 376.3 141.0 144.7 195.2 258.3 264.2 263.6 274.8 266.9 285.4 244.9 262.8 271.1 163.7 241.6 255.9 223.4 105.4 305.7 245.6 135.2 262.8 259.5 150.2 133.2 142.6 193.3 194.1 127.6 121.3 382.0 141.5 147.9 186.9 261.0 268.2 269.7 281.1 269.4 287.2 252.4 269.2 282.3 169.0 249.9 267.7 230.0 111.1 313.3 249.9 138.9 264.0 262.7 150.7 134.3 141.2 196.0 196.8 128.3 124.3 366.3 139.8 139.4 172.3 266.0 274.3 277.2 288.2 274.6 295.4 257.0 278.8 294.1 173.3 259.5 280.7 241.2 112.6 326.3 253.2 145.4 268.5 268.8 154.6 135.5 143.1 197.5 199.1 129.3 124.6 365.2 139.9 138.6 162.5 268.5 276.2 278.8 286.7 272.5 296.2 251.8 271.2 295.6 173.3 265.4 283.9 248.9 115.3 331.9 255.3 150.3 272.0 274.2 156.5 137.3 143.9 199.6 201.2 129.4 127.3 370.2 140.5 141.3 173.6 254.1 260.5 259.7 276.5 267.9 295.5 249.8 257.0 285.6 162.4 232.6 230.5 222.4 100.4 293.4 234.4 134.5 255.6 251.9 144.6 126.5 148.9 203.1 202.9 133.3 129.3 353.5 139.0 131.9 175.0 256.4 260.7 259.7 272.2 266.3 295.0 248.9 254.4 257.8 159.7 238.5 249.3 220.2 104.7 301.0 249.9 133.1 257.4 257.1 146.2 129.7 141.0 193.8 194.4 127.1 122.6 373.2 140.4 143.2 206.1 256.4 261.5 260.6 272.3 266.9 293.1 245.9 256.4 262.2 159.8 238.9 253.3 214.7 106.5 306.6 251.2 131.7 261.7 260.0 149.4 131.7 144.2 192.8 192.8 125.9 123.3 375.5 140.5 144.6 196.3 257.8 263.6 262.8 275.3 267.9 294.1 247.9 260.8 272.4 162.1 241.0 259.7 221.7 102.8 306.3 248.9 134.5 261.8 258.4 150.3 131.2 145.6 191.5 192.0 125.9 120.8 381.4 140.8 148.0 187.9 260.7 267.7 269.0 281.9 270.7 296.2 255.9 267.8 283.8 167.5 249.2 271.9 228.2 108.3 314.2 253.2 138.2 263.2 261.8 150.7 132.3 144.4 194.1 194.7 126.5 123.9 365.0 139.2 138.9 173.4 265.8 273.9 276.5 289.0 275.9 304.9 260.1 277.2 295.5 171.9 258.9 285.3 239.6 109.6 327.2 256.4 144.7 267.8 268.3 154.6 133.4 146.5 195.8 197.0 127.5 124.3 364.2 139.4 138.3 163.4 268.3 275.8 278.2 287.4 273.9 305.3 254.7 269.4 298.0 171.7 264.9 288.7 247.3 112.4 332.9 258.7 149.5 271.3 273.4 156.6 135.1 147.3 197.8 198.8 127.9 126.9 368.7 139.9 140.8 174.7 Dairy products.................................. Fresh milk and cream (12/77 = 100) ___ Fresh whole m ilk................ Other fresh milk and cream (12/77 = 100) Processed dairy products (12/77 = 100) .. Butter...................................... Cheese (12/77 = 100) ............ Ice cream and related products (12/77 = 100) Other dairy products (12/77 = 100) . . . . 244.2 134.9 220.7 134.9 142.5 245.8 140.7 147.6 136.6 246.5 135.5 221.5 135.8 144.8 248.9 142.8 150.0 140.0 246.5 135.3 221.7 135.1 144.9 250.1 143.3 149.5 139.5 247.5 135.9 222.2 136.2 145.6 250.1 143.7 150.9 139.9 247.0 135.7 222.0 135.7 145.2 251.1 144.0 148.7 139.7 246.3 135.2 221.3 135.4 144.9 250.9 143.2 149.6 138.7 247.5 135.6 221.6 136.2 145.9 251.1 144.2 150.4 141.3 243.9 134.4 219.9 134.5 143.1 247.7 141.3 148.0 137.2 245.8 134.9 220.5 135.5 145.1 251.4 143.1 149.1 140.8 245.9 134.8 220.8 134.6 145.3 252.7 143.6 148.9 140.3 246.8 135.3 221.3 135.7 145.9 252.7 144.0 150.2 140.8 246.3 135.1 221.1 135.2 145.5 253.7 144.3 147.9 140.4 245.7 134.7 220.4 134.9 145.2 253.4 143.6 148.7 139.4 246.8 135.1 220.7 135.7 146.2 253.7 144.5 149.6 142.0 Fruits and vegetables .................. Fresh fruits and vegetables.......... Fresh fruits ........................ Apples.............................. Bananas .......................... Oranges .......................... Other fresh fruits (12/77 = 100) Fresh vegetables................ Potatoes .......................... Lettuce ............................ Tomatoes ............................ Other fresh vegetables (12/77 = 100) . 284.4 294.0 292.1 251.9 240.6 327.8 160.4 295.9 414.9 261.3 194.0 154.5 301.5 319.6 291.2 279.5 251.0 313.1 154.5 346.2 297.4 408.9 288.5 199.1 293.1 302.1 297.8 288.7 263.0 316.3 157.2 306.1 301.0 270.9 258.1 185.0 294.0 304.1 306.7 287.5 268.5 330.8 163.4 301.8 306.1 355.2 220.5 166.3 297.9 311.7 318.8 299.8 261.6 362.1 168.2 305.1 320.3 291.6 226.5 179.3 305.6 325.9 340.8 321.4 267.9 406.8 177.1 311.9 344.9 269.1 275.6 177.5 299.7 313.8 332.4 331.8 245.4 438.2 161.6 296.4 370.9 254.5 270.2 155.6 281.7 290.2 285.5 253.1 233.8 307.0 158.9 294.4 404.2 259.2 195.5 155.8 297.4 313.4 280.1 279.9 247.9 281.1 149.0 343.5 291.5 408.0 293.2 197.2 289.1 296.1 287.3 288.5 261.1 285.9 151.8 304.2 294.8 271.3 261.8 184.0 290.3 298.9 295.5 287.8 266.1 300.2 157.6 302.0 300.8 358.6 224.9 166.7 293.6 305.1 306.9 300.1 259.3 328.3 162.4 303.7 313.6 293.5 230.6 178.6 301.0 318.6 327.0 321.9 265.5 367.5 170.3 311.1 339.7 270.0 279.9 177.0 295.3 307.1 320.5 333.3 243.6 399.9 156.1 295.0 366.0 253.0 274.9 154.8 276.4 143.1 144.0 146.8 138.4 134.6 133.2 284.2 147.9 147.8 151.5 144.3 137.7 141.7 285.8 149.0 149.2 152.4 145.3 138.2 142.0 285.5 148.2 147.1 151.5 145.6 138.6 144.0 285.4 148.3 145.7 152.2 146.4 138.5 143.9 285.9 148.0 144.4 151.7 147.0 139.3 145.6 286.3 148.5 143.5 152.2 148.8 139.7 146.7 274.6 142.8 142.9 146.1 139.1 133.6 134.1 282.0 147.4 146.6 150.3 144.8 136.6 143.1 283.7 148.6 148.2 151.4 145.9 137.2 143.4 283.3 147.7 146.1 150.4 146.2 137.5 145.3 283.3 147.9 144.6 151.0 147.0 137.4 145.2 283.9 147.6 143.4 150.7 147.6 138.2 146.9 284.8 148.1 142.6 151.0 149.4 138.6 148.0 Processed fruits and vegetables .. Processed fruits (12/77 = 100) Frozen fruit and fruit juices (12/77 = 100) .. Fruit juices other than frozen (12/77 = 100) Canned and dried fruits (12/77 = 100) Processed vegetables (12/77 = 100).............. Frozen vegetables (12/77 = 100) . . . Digitized74 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 18. Continued— Consumer Price Index — U.S. city average [1967 = 100 unless otherwise specified] Urban Wage Earners and Clerical Workers (revised) All Urban Consumers General summary 1982 1981 1982 1981 July July Feb. Mar. Apr. May 141.1 135.2 332.6 366.8 150.4 161.4 148.9 260.7 261.2 156.5 129.1 424.8 305.9 143.1 365.1 344.3 140.0 267.8 136.3 147.3 153.2 153.3 150.6 148.3 144.5 141.0 135.4 332.2 369.5 150.5 164.6 149.8 259.3 258.4 154.9 129.2 422.8 302.9 143.3 364.3 344.9 139.2 268.0 136.9 146.7 152.7 152.7 151.4 149.3 144.6 134.8 132.8 324.2 362.8 147.3 166.6 141.8 269.0 256.6 179.4 129.4 411.3 290.8 138.3 346.6 334.9 134.0 257.9 134.5 142.3 150.0 141.4 144.4 141.0 139.8 138.3 132.6 331.5 364.1 149.8 161.3 145.1 260.6 256.1 156.3 130.2 425.0 302.0 141.7 359.9 342.5 138.6 266.9 137.9 145.6 155.2 150.3 148.4 147.1 144.5 138.8 133.3 332.6 365.4 150.1 162.4 145.5 259.7 256.1 154.4 130.0 426.6 303.8 141.4 362.2 343.4 139.1 268.1 137.8 146.5 155.4 152.2 149.9 147.9 144.5 137.9 133.5 332.6 365.2 150.8 161.1 145.3 260.4 259.1 155.6 129.5 426.0 302.4 141.5 365.0 343.0 138.9 268.3 137.8 146.7 155.0 152.7 150.4 147.7 144.6 138.5 133.2 333.5 365.6 149.9 161.8 147.0 260.6 259.3 154.2 130.2 427.3 303.6 142.3 364.3 343.9 139.1 269.3 137.7 147.3 155.6 151.9 151.9 148.7 144.9 138.8 133.8 333.5 366.9 150.5 162.8 146.9 260.7 260.8 154.9 129.7 426.6 303.3 141.2 360.1 343.8 140.2 269.5 138.3 146.8 155.2 152.4 152.4 148.5 145.8 138.6 134.1 333.1 369.7 150.6 166.1 147.9 259.3 258.0 153.1 129.7 424.4 300.4 141.1 359.3 344.4 139.5 269.8 138.9 146.0 154.8 152.1 153.2 149.5 145.9 304.8 148.2 147.1 148.5 305.9 148.9 147.4 149.2 307.6 149.6 148.1 150.5 295.2 143.6 143.0 142.7 304.2 148.2 146.8 147.6 305.4 148.6 147.3 148.7 306.7 149.1 147.9 149.3 307.8 149.8 148.8 149.2 309.0 150.5 149.1 149.9 310.7 151.2 149.8 151.1 207.4 208.0 208.4 209.2 202.8 207.6 208.8 209.5 210.1 210.4 211.3 134.6 210.5 147.2 236.4 118.2 138.4 135.0 210.3 148.2 236.9 119.0 139.1 135.0 210.6 148.3 235.3 119.7 140.3 135.5 211.4 148.9 236.5 119.6 140.8 131.9 202.4 144.7 236.9 115.9 134.0 134.6 206.5 147.7 241.6 117.8 139.1 135.4 208.3 147.8 243.3 118.0 139.7 136.0 209.6 148.0 244.4 118.0 139.9 136.2 209.4 149.0 244.9 118.9 140.6 136.3 209.6 149.1 242.7 119.6 141.6 136.9 210.5 149.8 245.0 119.6 142.1 June June July July Feb. Mar. Apr. May Canned and packaged soup (12/77=100)............................ Frozen prepared foods (12/77=100).................................... Snacks (12/77-100).......................................................... Seasonings, olives, pickles, and relish (12/77-100).............. Other condiments (12/77=100) .......................................... Miscellaneous prepared foods (12/77 -100) ........................ Other canned and packaged prepared foods (12/77=100) . . . 136.0 134.6 323.3 360.0 145.9 164.6 142.9 269.0 255.9 181.0 129.4 410.3 294.7 139.6 351.4 334.3 134.2 256.3 133.2 143.7 147.5 142.0 142.3 140.7 139.0 140.7 134.1 330.7 364.2 150.0 160.0 146.9 260.5 256.7 157.8 129.8 423.4 304.6 143.8 364.4 342.8 138.4 265.3 135.9 146.2 153.4 151.3 146.9 147.0 143.0 141.2 134.8 331.7 365.5 150.3 161.0 147.4 259.6 256.7 156.1 129.5 424.8 306.6 143.4 366.6 343.6 138.9 266.5 135.6 147.0 153.4 153.2 148.2 147.7 143.2 140.5 135.0 331.6 365.3 150.9 159.9 147.2 260.4 259.6 157.3 129.0 424.1 304.9 143.4 369.6 343.4 138.7 266.6 135.7 147.2 152.9 153.6 148.7 147.6 143.3 140.7 134.6 332.6 365.7 150.0 160.5 148.9 260.6 259.7 156.0 129.6 425.6 306.1 144.3 369.3 344.3 138.9 267.5 135.7 147.8 153.5 152.8 150.2 148.5 143.5 Food away from home............................................................................ Lunch (12/77-100) ........................................................................ Dinner (12/77-100) ........................................................................ Other meals and snacks (12/77=100).............................................. 292.4 142.6 141.3 141.6 301.2 146.6 145.2 146.9 302.4 147.0 145.7 147.9 303.6 147.5 146.3 148.6 Alcoholic beverages ............................................................................ 200.5 205.6 206.6 Alcoholic beverages at home (12/77-100).............................................. Beer and a le .................................................................................... Whiskey .......................................................................................... Other alcoholic beverages (12/77=100)............................................ Alcoholic beverages away from home (12/77-100).................................. 130.1 201.8 143.7 227.5 116.3 134.1 133.3 207.4 146.8 234.2 117.8 137.6 134.0 209.2 147.0 235.3 118.1 138.2 HOUSING.............................................................................................. 297.0 307.3 306.7 309.4 313.8 317.5 319.2 297.0 306.7 306.2 309.2 313.7 317.5 319.3 327.6 331.4 336.7 340.9 342.8 320.2 330.3 328.5 332.8 338.3 342.6 344.6 FOOD AND BEVERAGES Continued Food - Continued Food at home — Continued Fruits and vegetables — Continued Cut corn and canned beans except lima (12/77=100) . . . . Other canned and dried vegetables (12/77-100).............. Other foods at home........................................................................ Sugar and sweets...................................................................... Candy and chewing gum (12/77-100) ................................ Sugar and artificial sweeteners (12/77-100)........................ Other sweets (12/77=100) ................................................ Fats and oils (12/77 -100) ........................................................ Nondairy substitutes and peanut butter (12/77=100) ............ Other fats, oils, and salad dressings (12/77-100) ................ Cola drinks, excluding diet c o la ............................................ Carbonated drinks, including diet cola (12/77=100).............. Freeze dried and instant coffee............................................ Other noncarbonated drinks (12/77=100)............................ Shelter.................................................................................................. 318.5 329.5 Rent, residential...................................................................................... 207.8 218.6 219.6 220.1 221.8 222.6 224.8 207.4 218.1 219.1 219.6 221.3 222.1 224.3 323.7 346.6 144.9 323.6 346.6 144.4 327.3 352.2 145.5 330.0 356.5 145.6 293.3 316.3 133.7 315.6 333.0 143.6 318.9 337.9 144.3 322.8 343.9 144.7 322.6 344.0 143.8 326.3 349.4 144.8 329.4 354.2 144.8 Other rental costs .................................................................................. Lodging while out of town.................................................................. Tenants'insurance (12/77-100) ...................................................... 293.6 318.3 133.3 316.9 335.9 143.5 320.1 340.9 144.1 Homeownership...................................................................................... Home purchase................................................................................ Financing, taxes, and insurance ........................................................ Property insurance .................................................................... Property taxes .......................................................................... Contracted mortgage interest c o s t.............................................. Mortgage interest rates........................................................ Maintenance and repairs .................................................................. Maintenance and repair services ................................................ Maintenance and repair commodities .......................................... Paint and wallpaper, supplies, tools, and equipment (12/77 -100) .................................................. Lumber, awnings, glass, and masonry (12/77-100).............. Plumbing, electrical, heating, and cooling supplies (12/77-100)...................................................... Miscellaneous supplies and equipment (12/77 -100) ............ 358.0 271.4 480.0 387.1 201.4 630.1 229.4 319.3 349.0 249.3 368.7 270.4 507.2 393.7 215.1 666.1 243.9 328.2 359.4 254.6 365.7 269.2 500.9 394.1 216.6 655.5 240.7 327.2 357.8 255.0 370.6 272.3 508.4 393.6 217.2 667.1 242.1 331.6 363.6 256.2 377.4 279.3 516.2 396.7 218.3 678.5 240.2 334.5 367.0 257.8 382.8 285.6 521.8 400.6 218.8 686.7 238.3 336.1 369.1 258.3 384.5 287.7 524.3 401.5 219.3 690.4 237.3 334.7 366.9 258.7 361.2 271.2 486.9 388.3 203.2 632.6 230.3 316.2 350.5 242.4 370.8 268.3 513.2 396.0 217.2 666.6 245.4 324.6 360.1 248.2 367.9 267.1 507.0 396.5 218.5 656.4 242.3 323.7 358.6 248.6 373.6 270.5 516.0 396.0 219.1 670.2 244.4 328.3 365.0 249.7 380.5 278.1 523.8 399.2 220.2 681.4 242.1 330.9 368.0 251.3 386.0 284.4 529.7 402.7 220.7 690.0 240.2 332.4 370.0 252.1 388.0 286.8 532.4 403.7 221.1 694.0 239.2 331.5 368.1 252.9 146.7 125.0 150.9 124.6 151.8 123.9 153.1 124.5 154.2 124.5 153.3 124.7 153.4 125.0 138.2 123.0 143.7 121.7 144.7 121.2 145.8 121.9 147.0 121.9 146.0 122.1 146.5 1225 132.7 129.2 133.8 134.8 133.4 135.1 133.4 135.6 135.1 136.3 136.2 138.4 137.1 138.3 130.1 132.5 133.4 136.9 133.1 137.1 133.1 137.4 134.9 138.2 136.0 140.6 136.6 140.5 Fuel and other utilities.......................................................................... 325.1 337.1 339.3 339.2 345.4 352.2 354.7 326.4 337.9 340.2 340.3 346.5 353.6 356.2 427.6 683.1 713.8 170.0 368.7 306.8 450.8 430.5 664.0 692.3 168.0 375.9 313.3 458.6 428.2 641.3 666.2 166.4 377.8 312.8 465.3 438.0 644.6 670.6 165.7 r 389.0 314.9 r 494.6 448.4 656.6 684.8 165.6 r 398.9 327.5 r 497.2 452.0 659.9 688.6 166.0 402.1 330.5 500.2 417.0 681.1 713.8 165.4 356.7 306.2 415.8 426.8 686.0 716.3 171.4 367.3 305.5 448.7 429.9 666.7 694.4 169.5 374.8 312.3 456.6 427.8 644.0 668.4 167.9 376.8 311.8 463.6 437.4 647.7 673.3 167.1 r 387.8 314.4 r 490.8 448.3 659.7 687.5 166.9 r 398.2 327.7 r 493.8 451.9 662.9 691.1 167.4 401.5 330.8 496.9 Fuels .................................................................................................... Fuel oil, coal, and bottled gas............................................................ Fuel o il...................................................................................... Other fuels (6/78 - 100) .......................................................... Gas (piped) and electricity ................................................................ Electricity.................................................................................. Utility (piped) gas ...................................................................... https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 417.2 677.9 711.0 164.0 357.6 306.2 418.6 75 MONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Consumer Prices 18. Continued— Consumer Price Index— U.S. city average [1967 = 100 unless otherwise specified] All Urban Consumers General summary Urban Wage Earners and Clerical Workers (revised) 1982 1981 1982 July Feb. Mar. Apr. May June July July Feb. Mar. Apr. May June July Other utilities and public services............................ Telephone services .................................................. Local charges (12/77 = 100) ........................................ Interstate toll calls (12/77 = 100) ............................ Intrastate toll calls (12/77 = 100) .......................... Water and sewerage maintenance .................................. 180.8 147.2 116.7 109.1 101.5 294.0 193.9 157.9 125.3 116.6 109.1 313.3 195.0 158.5 125.6 117.7 109.0 316.9 197.7 160.8 127.9 119.9 108.9 320.7 198.9 161.6 128.9 120.0 109.3 323.5 200.4 163.2 131.2 119.6 109.8 324.9 201.4 163.8 131.9 119.7 110.0 327.7 181.3 147.5 116.9 109.6 101.3 295.8 194.3 158.0 125.4 116.7 108.8 315.7 195.4 158.6 125.7 117.8 108.7 •319.7 198.2 161.0 128.1 120.2 108.7 323.6 199.5 161.9 129.2 120.4 109.0 326.7 201.1 163.5 131.6 120.1 109.4 328.0 202.1 164.2 132.3 120.1 109.6 330.8 Household furnishings and operations.................. 222.4 230.2 231.6 232.6 233.4 233.7 234.1 219.1 226.7 228.0 229.1 230.0 230.4 230.9 Housefurnishings ...................................... Textile housefurnishings ........................................................ Household linens (12/77 = 100) ...................................... Curtains, drapes, slipcovers, and sewing materials (12/77 = 100) . Furniture and bedding...................................................... Bedroom furniture (12/77 = 100).............................................. Sofas (12/77 = 100)...................................................... Living room chairs and tables (12/77 = 100) .............................. Other furniture (12/77 = 100) .................................................... Appliances Including TV and sound equipment .................................... Television and sound equipment (12/77 = 100) .......................... Television.......................................................................... Sound equipment (12/77 = 100).......................................... Household appliances ................................................................ Refrigerators and home freezers .......................................... Laundry equipment (12/77 = 100)........................................ Other household appliances (12/77 = 100) .......................... Stoves, dishwashers, vacuums, and sewing machines (12/77 = 100) .............................................. Office machines, small electric appliances, and air conditioners (12/77 = 100)................................ Other household equipment (12/77 = 100)........................................ Floor and window coverings, infants’, laundry, cleaning, and outdoor equipment (12/77 = 100) ...................... Clocks, lamps, and decor items (12/77 = 100)............................ Tableware, serving pieces, and nonelectric kitchenware (12/77 = 100) .................................................... Lawn equipment, power tools, and other hardware (12/77 = 100) . 186.0 202.9 123.3 129.8 206.0 135.0 117.6 117.9 136.2 147.1 108.8 105.6 112.7 174.2 174.2 128.1 119.6 191.4 216.0 131.0 138.5 209.4 140.5 116.4 118.6 138.1 149.9 109.2 104.5 114.5 179.7 182.6 133.5 121.6 192.7 217.7 134.7 136.7 212.1 140.8 118.0 121.6 140.5 150.1 109.1 104.7 114.0 180.3 183.7 133.3 122.2 193.8 218.7 135.8 136.9 214.7 142.3 119.3 123.2 142.3 150.6 108.7 104.2 113.7 182.1 184.8 136.4 122.9 194.7 220.9 135.4 140.1 215.1 144.5 119.1 122.8 141.6 151.4 108.8 104.3 113.9 183.6 186.2 136.6 124.3 194.7 220.2 134.6 140.1 214.4 143.0 117.5 123.2 142.3 151.4 108.6 104.4 113.5 183.8 187.7 136.7 123.9 194.7 218.6 131.9 140.8 214.2 144.8 117.7 121.9 140.9 151.6 108.7 104.0 114.0 184.2 187.4 137.3 124.4 184.1 206.2 126.0 131.5 202.3 130.7 116.2 119.5 132.9 146.3 107.7 104.5 111.4 173.6 178.1 128.3 117.1 189.3 218.5 132.1 141.0 205.5 137.1 116.5 118.8 133.4 149.6 108.4 103.3 113.8 179.9 187.9 133.8 119.7 190.4 219.9 135.6 138.7 208.2 137.2 118.2 121.8 135.8 149.7 108.2 103.5 113.2 180.4 189.3 133.5 120.0 191.7 221.4 137.0 139.1 211.0 138.9 119.6 123.3 137.9 150.3 107.7 103.0 112.8 182.3 190.6 136.6 120.7 192.5 223.9 136.8 142.8 211.3 140.7 119.4 122.9 137.0 151.1 107.9 103.0 113.0 183.8 191.8 136.8 122.3 192.6 223.3 135.9 143.0 210.9 139.7 118.2 123.3 137.7 151.2 107.7 103.1 112.7 184.2 193.2 136.9 122.3 192.7 221.1 133.3 143.2 210.5 141.2 118.1 122.0 136.3 151.5 107.8 102.7 113.2 184.8 192.9 137.5 123.0 119.2 121.0 121.9 122.3 123.7 123.1 123.3 117.1 118.9 119.3 119.7 121.4 121.6 122.2 120.1 131.2 122.4 136.7 122.5 137.3 123.5 137.8 124.9 138.3 124.8 139.0 125.6 139.6 117.1 129.8 120.5 134.7 120.7 135.3 121.8 135.6 123.3 136.0 123.0 136.9 123.9 137.5 132.4 125.0 139.1 129.8 140.9 129.0 140.3 130.2 141.4 131.4 142.3 132.2 142.7 132.3 127.1 122.9 131.0 126.0 133.3 125.4 132.9 126.5 133.9 127.4 134.9 128.2 135.4 128.3 139.5 122.7 143.3 130.3 143.1 132.1 145.0 130.8 144.4 132.1 145.6 131.9 145.9 133.2 136.4 126.7 139.5 135.5 139.0 137.3 140.6 136.0 139.8 137.4 141.4 137.1 141.9 138.5 Housekeeping supplies ............................................................................ Soaps and detergents ...................................................................... Other laundry and cleaning products (12/77 = 100) .......................... Cleansing and toilet tissue, paper towels and napkins (12/77 = 100) .. Stationery, stationery supplies, and gift wrap (12/77 = 100)................ Miscellaneous household products (12/77 = 100) .............................. Lawn and garden supplies (12/77 = 100).......................................... 271.5 266.5 134.8 138.8 126.6 140.5 138.8 282.4 278.0 141.0 145.7 130.4 146.9 141.8 284.2 279.5 142.1 145.7 130.7 147.5 144.7 284.9 280.0 142.7 146.4 131.4 147.5 144.7 285.5 278.8 143.3 146.0 132.0 149.3 144.8 286.5 280.8 143.8 146.5 132.5 150.2 144.0 288.4 281.4 145.3 147.7 134.3 150.3 145.3 267.9 263.1 133.6 139.0 127.9 136.6 131.7 278.8 274.4 139.8 145.6 133.4 141.8 134.1 280.4 275.7 140.9 145.4 133.8 142.4 136.7 281.2 276.3 141.6 146.2 134.6 142.4 136.8 281.8 275.2 142.3 145.6 135.3 144.1 136.6 283.1 277.0 142.7 146.1 136.0 144.9 136.7 285.0 277.6 144.2 147.4 137.8 145.1 138.1 Housekeeping services............................................................................ Postage............................................................................................ Moving, storage, freight, household laundry, and drycleaning services (12/77 = 100)................................................ Appliance and furniture repair (12/77 = 100)...................................... 295.3 308.0 308.1 337.5 309.9 337.5 310.4 337.5 311.3 337.5 311.7 337.5 312.5 337.5 293.4 308.1 306.8 337.5 308.2 337.5 309.2 337.5 310.2 337.5 310.9 337.5 311.6 337.5 143.1 127.8 149.4 134.2 150.8 135.0 152.1 135.6 153.1 136.6 154.2 137.0 155.3 137.5 142.8 126.4 149.1 132.8 150.6 133.5 152.2 134.1 153.3 135.1 154.5 135.5 155.4 136.0 APPAREL AND UPKEEP............................................ 184.7 188.0 191.1 191.9 191.5 190.8 189.7 185.5 187.3 190.5 191.2 190.6 189.6 188.7 Apparel commodities...................................................................... 175.1 177.6 180.8 181.4 180.9 180.0 178.6 176.6 177.4 180.8 181.3 180.5 179.4 178.2 171.2 175.6 110.3 102.5 96.7 129.6 115.5 106.5 115.1 107.0 124.5 117.7 153.5 101.2 153.9 162.2 95.1 120.0 78.6 106.5 100.0 106.1 173.4 179.3 113.0 104.8 95.8 134.7 119.3 108.6 116.0 105.9 128.2 119.1 154.7 102.9 156.4 152.8 96.3 126.2 87.0 102.7 92.6 103.4 176.8 181.7 114.5 107.2 98.1 136.8 119.9 108.6 117.8 109.4 128.7 120.1 160.3 106.8 162.0 163.1 100.3 127.1 92.7 105.6 98.2 104.6 177.4 183.1 115.5 107.6 99.1 138.2 121.3 109.7 118.3 111.2 130.3 119.0 160.9 107.1 163.4 166.6 100.1 127.4 89.4 c 106.7 98.8 105.4 176.7 183.8 115.9 108.1 99.9 138.7 121.2 110.3 118.8 111.5 131.2 119.6 159.1 105.7 158.3 162.0 101.2 128.1 83.4 106.3 96.9 105.9 175.6 183.1 115.4 107.3 99.5 138.0 121.5 109.7 118.5 110.7 131.9 119.4 157.3 104.4 156.4 160.1 100.2 127.9 78.6 105.8 95.1 106.0 174.0 182.4 114.9 105.5 98.2 138.7 121.6 109.5 118.6 109.0 132.1 120.7 154.6 102.1 154.9 152.8 96.7 127.7 77.6 106.3 98.8 103.6 172.8 176.9 111.6 97.4 100.8 124.8 118.8 113.2 113.6 107.6 120.6 115.6 157.9 104.5 159.0 154.1 99.1 120.1 100.6 106.9 98.9 108.9 173.0 179.4 113.5 98.2 97.2 131.1 121.8 114.1 114.3 106.3 124.2 116.7 157.1 104.8 163.1 140.9 96.8 126.0 105.6 103.1 91.5 106.0 176.6 181.6 114.7 100.4 99.7 133.1 122.3 114.2 116.1 109.7 124.7 117.8 163.0 109.0 173.1 148.1 101.2 126.9 114.1 106.0 97.2 106.9 177.1 182.9 115.7 101.1 100.7 134.5 123.4 115.1 116.5 111.5 126.0 116.8 163.4 109.1 172.9 151.1 101.0 127.3 111.0 106.9 97.6 107.6 176.0 183.7 116.2 101.4 101.5 135.3 123.1 115.6 117.1 112.0 127.2 117.3 160.8 107.1 165.7 147.1 101.9 127.9 100.6 106.2 95.0 108,0 174.7 183.2 115.8 100.6 101.1 134.7 123.8 115.2 116.9 111.5 128.0 117.1 158.4 105.4 162.9 145.4 101.0 127.6 92.7 105.2 92.4 107.7 173.4 182.6 115.4 99.2 99.8 135.3 123.6 115.0 116.9 109.7 128.2 118.3 156.2 103.5 161.8 138.4 97.6 127.4 93.1 105.4 96.0 104.1 117.6 118.0 119.6 122.0 122.4 122.9 123.8 116.3 117.0 118.7 121.0 121.5 121.9 122.7 HOUSING — Continued Fuel and other utilities — Continued Apparel commodities less footwear.................................................... Men’s and boys’ .............................................................................. Men’s (12/77 = 100) ................................................................ Suits, sport coats, and jackets (12/77 = 100) ...................... Coats and jackets (12/77 = 100) ........................................ Furnishings and special clothing (12/77 = 100) .................... Shirts (12/77 = 100) .......................................................... Dungarees, jeans, and trousers (12/77 = 100)...................... Boys' (12/77 = 100).................................................................. Coats, jackets, sweaters, and shirts (12/77 = 100) .............. Furnishings (12/77 = 100) .................................................. Suits, trousers, sport coats, and jackets (12/77 = 100).......... Women’s and girls’ ............................................................................ Women’s (12/77 = 100) ............................................................ Coats and jackets................................................................ Dresses .............................................................................. Separates and sportswear (12/77 = 100) ............................ Underwear, nightwear, and hosiery (12/77 = 100) ................ Suits (12/77 = 100)............................................................ Girls’ (12/77 = 100) .................................................................. Coats, jackets, dresses, and suits (12/77 = 100) .................. Separates and sportswear (12/77 = 100) ............................ Underwear, nightwear, hosiery, and accessories (12/77 = 100) .............................................. Digitized76 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 18. Continued— Consumer Price Index— U.S. city average [1967 = 100 unless otherwise specified] Urban Wage Earners and Clerical Workers (revised) All Urban Consumers General summary 1981 1982 1982 1981 July Feb. Mar. Apr. May June July July Feb. Mar. Apr. May June July Apparel commodities less footwear— Continued Infants' and toddlers’ ...................................................................... Other apparel commodities ............................................................ Sewing materials and notions (12/77 = 100) ............................ Jewelry and luggage (12/77 = 100) ........................................ 259.8 212.4 115.3 146.6 262.2 214.3 117.6 147.4 264.7 212.7 118.1 145.7 267.0 210.8 118.5 143.8 269.0 209.7 119.3 142.5 268.7 209.9 119.2 142.8 268.8 209.7 120.0 142.2 272.9 204.8 113.6 141.0 271.4 202.8 115.9 138.1 275.4 201.6 116.5 136.7 278.2 199.5 116.9 134.5 279.3 198.8 117.7 133.5 278.2 198.9 117.6 133.6 277.8 198.7 118.5 133.1 Footwear.............................................................................................. Men's (12/77 = 100) .................................................................... Boys' and girls' (12/77 = 100) ...................................................... Women's (12/77 = 100)................................................................ 199.0 128.0 130.1 118.7 202.8 130.7 129.5 122.7 204.9 132.5 129.2 124.7 205.6 132.3 130.4 125.1 206.5 132.4 131.5 125.8 206.6 132.1 132.1 125.8 206.4 132.3 131.7 125.6 199.2 129.5 128.7 117.8 203.3 132.6 132.3 119.0 205.2 134.5 132.1 120.8 206.1 134.4 133.6 121.1 206.9 134.5 134.6 121.6 206.7 134.1 134.8 121.6 206.7 134.3 134.4 121.5 Apparel services ................................................................................ 258.9 269.4 271.3 273.4 274.7 275.3 276.6 256.3 267.2 269.0 271.0 272.3 273.0 274.3 Laundry and drycleaning other than coin operated (12/77 = 100)............ Other apparel services (12/77 = 100) .................................................. 153.8 136.7 161.4 139.8 162.4 141.1 163.5 142.5 164.4 142.9 164.8 143.1 165.4 144.1 153.1 135.1 159.9 140.3 160.9 141.5 162.0 142.7 162.8 143.1 163.3 143.4 163.8 144.6 APPAREL AND UPKEEP Continued Apparel commodities — Continued TRANSPORTATION ............................................................................ 282.6 288.0 285.1 282.9 285.6 292.8 296.1 283.9 289.6 286.6 284.3 287.1 294.5 297.9 Private................................................................................................ 279.6 284.5 281.3 278.8 281.5 288.9 292.3 281.6 286.9 283.7 281.2 284.0 291.6 295.1 195.9 285.2 c 367.9 312.8 153.3 197.3 291.4 371.7 314.4 154.0 197.9 298.2 393.8 316.8 154.7 198.5 302.4 401.6 318.7 156.0 153.7 144.0 148.6 258.2 c 217.3 149.2 139.2 193.7 136.6 271.6 270.2 186.7 133.7 173.8 123.0 130.4 156.4 154.9 144.4 149.6 258.8 219.4 148.4 140.9 196.0 138.4 271.8 271.3 185.9 133.7 173.8 127.9 128.3 156.2 155.7 146.2 150.3 261.8 220.0 149.0 141.2 196.4 138.6 275.5 273.5 191.2 133.8 173.9 127.9 128.3 156.3 156.1 147.3 151.2 264.0 218.8 150.3 140.1 195.5 136.8 278.5 274.9 192.6 138.4 183.2 133.1 129.9 158.7 New cars ............................................................................................ Used c a rs ............................................................................................ Gasoline .............................................................................................. Automobile maintenance and repair........................................................ Body work (12/77 = 100).............................................................. Automobile drive train, brake, and miscellaneous mechanical repair (12/77 = 100) ................................................ Maintenance and servicing (12/77 = 100) ...................................... Power plant repair (12/77 = 100) .................................................. Other private transportation .................................................................. Other private transportation commodities ........................................ Motor oil, coolant, and other products (12/77 = 100) ................ Automobile parts and equipment (12/77 = 100)........................ Tires................................................................................ Other parts and equipment (12/77 = 100) ........................ Other private transportation services................................................ Automobile insurance .............................................................. Automobile finance charges (12/77 = 100) .............................. Automobile rental, registration, and other fees (12/77 = 100) . . . State registration .............................................................. Drivers’ licenses (12/77 = 100) ........................................ Vehicle inspection (12/77 = 100) ...................................... Other vehicle-related fees (12/77 = 100) .......................... 192.5 260.3 412.9 293.5 144.1 195.5 279.7 399.1 307.7 153.7 194.4 280.9 383.9 310.2 154.5 196.0 285.1 366.7 311.9 155.0 197.5 291.4 370.4 313.6 155.7 198.1 298.2 392.3 316.0 156.3 198.6 302.4 400.3 318.0 157.5 192.9 260.3 414.0 293.4 143.3 195.3 279.7 400.6 308.4 152.1 194.2 280.9 385.4 311.1 152.7 139.9 137.4 139.9 242.9 208.8 144.8 133.6 185.6 131.7 254.3 259.8 180.9 118.0 147.9 105.9 128.6 136.6 146.5 142.7 147.3 253.4 214.8 149.3 137.4 191.3 134.6 266.1 268.1 188.9 128.9 167.1 121.7 129.3 144.8 148.7 143.9 148.0 254.5 215.6 150.2 137.9 191.7 135.7 267.2 269.8 188.9 129.7 168.5 122.9 129.3 145.3 149.5 144.5 149.1 255.1 214.9 150.7 137.2 190.1 136.2 268.2 270.4 187.2 133.3 174.2 123.0 129.0 149.5 150.8 145.0 150.1 255.7 216.9 149.9 138.8 192.3 138.0 268.4 271.6 186.3 133.3 174.2 127.7 126.7 149.2 151.6 146.8 150.8 258.7 217.5 150.7 139.2 192.8 138.3 272.2 274.0 192.0 133.3 174.3 127.7 126.7 149.3 151.9 147.9 151.7 260.8 216.3 151.5 138.2 191.8 136.6 275.1 275.4 193.6 137.4 183.6 132.8 128.5 151.0 141.4 137.3 139.1 246.0 210.8 143.4 135.2 188.4 132.2 257.7 259.6 179.9 118.4 147.9 105.6 129.3 143.1 150.2 142.3 146.8 256.8 217.3 147.8 139.4 195.1 134.9 269.8 268.0 188.3 129.5 166.5 121.7 130.6 152.4 152.8 143.4 147.5 257.8 218.2 148.7 139.9 195.5 135.9 270.8 269.6 188.2 130.1 167.8 123.0 130.6 152.5 Public.................................................................................................. 323.1 336.8 336.7 339.3 342.1 345.6 347.2 317.7 331.0 331.0 333.3 335.1 337.9 339.8 Airline fare............................................................................................ Intercity bus fare .................................................................................. Intracity mass transit ............................................................................ Taxi fare .............................................................................................. Intercity train fare.................................................................................. 367.3 343.5 290.7 287.1 304.6 379.3 365.7 306.7 296.7 314.0 379.0 365.6 306.6 297.2 314.1 382.7 367.0 308.1 297.6 332.1 388.9 366.0 308.3 297.6 337.9 396.0 363.7 309.2 298.0 338.2 397.4 368.3 311.0 299.3 338.4 365.6 343.6 291.0 295.7 304.9 376.3 367.4 305.8 306.1 314.5 376.3 367.0 305.7 306.6 314.5 379.8 368.7 307.2 307.3 332.1 385.2 367.5 307.1 307.2 337.9 392.4 365.4 307.9 307.6 338.2 393.2 370.6 310.3 308.7 338.4 MEDICAL CARE .................................................................................. 295.6 316.2 318.8 321.7 323.8 326.4 330.0 295.4 314.9 317.4 320.2 322.3 324.8 328.1 Medical care commodities.................................................................. 187.7 197.7 200.0 202.4 204.1 205.6 206.5 189.2 198.3 200.6 203.0 204.8 206.3 207.1 Prescription drugs ................................................................................ Anti-infective drugs (12/77 = 100).................................................. Tranquilizers and sedatives (12/77 = 100) ...................................... Circulatories and diuretics (12/77 = 100)........................................ Hormones, diabetic drugs, biologicals, and prescription medical supplies (12/77 = 100) ................................ Pain and symptom control drugs (12/77 = 100) .............................. Supplements, cough and cold preparations, and respiratory agents (12/77 = 100)................................................ 173.7 133.9 138.4 126.5 183.7 138.4 146.8 134.0 186.1 139.3 148.6 135.7 188.8 140.9 152.0 136.7 190.4 142.5 153.8 137.0 191.8 143.3 154.9 138.4 193.4 144.2 156.1 139.3 175.0 135.8 137.6 127.9 184.7 140.4 146.5 134.0 187.0 141.1 148.3 135.6 189.7 142.5 151.8 136.6 191.4 144.1 153.8 136.8 192.7 145.1 154.7 138.2 194.4 146.0 155.8 139.1 158.1 139.1 168.4 148.8 170.8 150.8 173.3 153.1 175.4 153.7 177.2 154.6 179.6 155.4 158.2 141.8 169.7 150.3 172.0 152.3 174.6 154.6 176.9 155.2 178.6 156.0 181.1 157.1 131.8 139.9 142.7 144.7 145.9 146.3 147.9 132.5 139.9 142.7 144.8 146.0 146.4 148.1 Nonprescription drugs and medical supplies (12/77 = 100) .................... Eyeglasses (12/77 = 100) ............................................................ Internal and respiratory over-the-counter drugs ................................ Nonprescription medical equipment and supplies (12/77 = 100)........ 134.5 125.8 213.1 129.9 141.1 128.9 225.1 137.1 142.5 129.5 228.1 138.1 143.9 130.1 231.1 138.9 145.1 130.9 233.4 139.5 146.3 131.6 235.2 141.1 146.4 131.6 234.9 142.2 135.8 125.0 215.4 132.2 141.6 127.6 226.4 137.7 143.2 128.1 229.6 138.8 144.6 128.7 232.5 139.7 145.9 129.7 235.0 140.4 147.1 130.4 236.8 142.0 147.1 130.4 236.2 143.2 Medical care services ........................................................................ 319.2 342.4 345.1 348.0 350.2 353.0 357.3 318.5 340.6 343.0 345.8 348.0 350.7 354.7 Professional services ............................................................................ Physicians’ services........................................................................ Dental services.............................................................................. Other professional services (12/77 = 100)...................................... 280.4 300.7 266.5 136.8 294.2 318.8 276.8 141.5 295.8 320.3 278.6 142.4 •297.8 322.2 281.1 142.5 299.2 324.0 282.1 143.4 301.2 326.4 283.9 143.8 302.8 328.7 284.8 144.8 280.8 304.7 264.6 132.7 294.3 321.7 274.9 138.5 295.9 323.2 276.6 139.4 c297 9 325.2 279.2 139.4 299.3 327.0 280.3 140.2 301.3 329.4 282.1 140.7 302.9 331.6 282.9 141.5 Other medical care services.................................................................. Hospital and other medical services (12/77 = 100).......................... Hospital room.......................................................................... Other hospital and medical care services (12/77 - 100)............ 366.1 151.7 478.0 150.4 400.8 167.1 533.8 163.8 404.7 168.5 538.5 165.2 408.7 169.8 542.2 166.4 411.9 170.6 543.8 167.6 415.7 171.6 546.8 168.5 423.2 174.7 557.8 171.2 364.6 150.3 472.2 149.4 398.0 165.7 527.0 163.0 401.6 166.9 531.0 164.2 405.4 168.3 535.2 165.5 408.5 169.1 536.7 166.6 412.1 170.0 539.4 167.5 419.4 172.9 549.7 170.0 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 77 MONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Consumer Prices 18. Continued— Consumer Price Index— U.S. city average [1967=100 unless otherwise specified] All Urban Consumers General summary 1981 Urban Wage Earners and Clerical Workers (revised) 1982 1981 1982 July Feb. Mar. Apr. May. June July July Feb. Mar. Apr. May June July ENTERTAINMENT.......................................... 221.1 231.2 232.8 233.9 234.4 235.6 236.6 218.7 228.1 229.5 230.5 231.1 232.3 233.5 Entertainment commodities .................................. 225.5 234.3 236.6 238.0 238.8 239.6 241.1 221.1 228.9 230.8 232.0 232.8 233.8 235.5 Reading materials (12/77 = 100 ) .................. Newspapers ................................ Magazines, periodicals, and books (12/77 = 100) ............ 136.0 265.0 137.3 144.1 273.1 149.9 146.1 276.4 152.4 146.8 280.1 151.6 148.5 281.6 154.4 149.4 283.9 155.0 150.4 285.9 156.1 135.9 265.0 137.4 143.3 272.8 149.7 145.3 276.0 152.2 146.1 279.7 151.4 147.7 281.2 154.2 148.6 283.4 154.8 149.7 285.6 156.0 Sporting goods and equipment (12/77 = 100).................. Sport vehicles (12/77 = 100)................................ Indoor and warm weather sport equipment (12/77 = 100) ........ Bicycles ........................................ Other sporting goods and equipment (12/77 = 100) ........................ 127.0 129.9 117.7 191.0 122.7 131.5 133.9 119.6 197.3 127.0 132.3 135.4 119.9 197.6 125.6 132.9 136.1 120.4 198.9 126.3 132.8 135.4 121.0 199.4 127.6 132.7 135.7 119.6 197.6 127.9 132.8 135.4 120.3 198.3 129.4 120.6 118.5 117.0 192.1 122.9 123.9 121.9 117.7 198.9 127.4 124.3 122.5 118.1 198.9 126.0 124.7 122.8 118.6 200.2 126.5 124.9 122.6 119.2 200.7 127.9 125.3 123.9 117.1 198.8 128.3 125.7 124.1 118.0 199.4 129.8 Toys, hobbies, and other entertainment (12/77 = 100).............. Toys, hobbies, and music equipment (12/77 = 100).............. Photographic supplies and equipment (12/77 = 100)........................ Pet supplies and expenses (12/77 = 100) .................... 129.3 127.9 125.7 134.5 133.2 131.7 126.9 140.6 134.5 133.4 128.3 140.8 135.4 134.1 129.8 141.9 135.5 134.8 130.0 141.0 136.1 135.9 130.3 140.6 137.3 137.2 130.8 142.0 128.5 125.3 127.0 135.1 132.3 128.6 127.9 141.6 133.5 130.2 129.5 141.7 134.3 130.7 131.0 142.7 134.4 131.4 131.2 141.8 134.9 132.4 131.5 141.5 136.1 133.7 131.9 143.0 Entertainment services.................. 215.2 227.1 227.8 228.5 228.7 230.5 230.8 215.8 227.8 228.4 229.2 229.2 230.9 231.3 Fees for participant sports (12/77 = 100) ............................ Admissions (12/77 = 10 0 )................................ Other entertainment services (12/77 = 100 ) .................. 131.6 125.9 121.7 140.9 131.6 125.0 141.9 131.2 125.1 142.0 132.2 125.2 141.6 133.0 125.7 142.5 133.5 127.9 141.8 135.5 127.8 131.6 125.7 123.2 142.5 130.6 125.9 143.5 130.3 125.9 143.7 131.2 125.9 142.9 132.1 126.4 143.8 132.6 128.7 143.0 134.6 128.8 OTHER GOODS AND SERVICES...................... 234.4 250.3 252.2 253.8 255.0 255.8 257.2 232.4 247.1 249.3 250.9 252.4 253.1 254.5 Tobacco products .................................... 219.3 230.7 234.1 235.1 237.4 237.8 239.2 218.4 229.8 233.2 234.0 236.6 237.0 238.3 Cigarettes ........................................ Other tobacco products and smoking accessories (12/77 = 100) 221.6 132.5 233.6 136.8 237.3 138.1 238.0 139.9 240.4 141.0 240.7 141.8 242.2 142.1 220.7 133.4 232.7 136.9 236.3 138.2 236.9 140.1 239.6 141.1 239.9 142.0 241.3 142.2 Personal care.................................. 233.4 242.3 243.7 245.9 246.5 247.8 249.4 231.2 240.4 241.8 244.1 244.7 246.0 247.5 Toilet goods and personal care appliances...................... Products for the hair, hairpieces, and wigs (12/77 = 100) Dental and shaving products (12/77 = 100) .............. Cosmetics, bath and nail preparations, manicure and eye makeup implements (12/77 = 100) ................ Other toilet goods and small personal care appliances (12/77 = 100) 228.7 133.9 139.0 238.5 138.4 145.6 240.6 140.8 148.0 243.8 142.9 149.0 244.5 142.1 150.1 246.3 143.2 150.5 247.7 145.0 150.9 228.4 131.7 137.1 239.2 137.8 144.2 241.5 140.0 146.6 244.7 142.3 147.6 245.4 141.7 148.6 247.0 142.6 148.9 248.6 144.2 149.5 127.7 133.0 135.0 137.0 135.1 137.4 136.5 140.3 137.6 140.5 139.6 140.8 139.9 141.8 128.3 135.9 135.8 140.2 136.1 140.7 137.5 143.5 138.5 144.0 140.1 144.4 140.5 145.4 Personal care services ........................ Beauty parlor services for women.................... Haircuts and other barber shop services for men (12/77 = 100) 238.4 240.5 132.7 246.5 247.7 138.4 247.3 248.9 138.4 248.7 250.7 138.8 249.2 251.3 138.9 250.1 252.3 139.4 251.8 254.4 139.8 234.4 235.1 131.8 241.8 241.3 137.2 242.6 242.5 137.2 244.0 244.3 137.6 244.4 245.0 137.7 245.4 245.9 138.2 246.9 247.9 138.5 Personal and educational expenses............ 259.2 289.2 290.4 291.9 292.8 293.3 294.5 260.1 290.2 291.7 293.5 294.6 295.2 296.4 Schoolbooks and supplies............................ Personal and educational services.................... Tuition and other school fees .............. College tuition (12/77 = 100) ............ Elementary and high school tuition (12/77 = 100)............ Personal expenses (12/77 = 100) . . . 231.3 265.8 133.5 133.0 135.3 147.9 262.9 295.8 150.6 150.1 152.2 156.1 263.3 297.1 151.1 150.7 152.2 157.4 263.8 298.7 151.4 151.0 152.2 160.9 264.2 299.8 151.4 151.0 152.2 163.6 264.6 300.3 151.5 151.2 152.2 164.5 264.8 301.7 152.0 151.8 152.2 166.0 235.2 266.4 133.7 132.9 135.4 146.6 267.1 296.3 150.9 149.8 152.9 155.3 267.5 298.0 151.7 150.9 152.9 156.7 268.0 300.0 152.0 151.3 152.9 160.5 268.4 301.4 152.0 151.3 152.9 163.6 268.8 302.0 152.1 151.4 152.9 164.6 269.0 303.4 152.5 152.0 152.9 166.1 407.1 402.7 286.5 332.3 393.9 424.8 299.1 344.0 379.3 420.9 302.7 344.0 362.6 426.3 305.1 347.5 366.1 431.5 r311.0 349.8 387.3 436.5 '316.6 351.2 395.0 439.1 318.7 350.3 408.0 402.4 285.6 332.8 395.3 423.5 297.7 344.2 380.6 419.9 301.5 344.0 363.7 425.9 304.0 348.2 367.2 430.9 '309.8 350.4 388.6 436.0 '315.6 351.8 396.2 438.8 317.8 351.0 Special indexes: Gasoline, motor oil, coolant, and other products .......... Insurance and finance............................ Utilities and public transportation .................. Housekeeping and home maintenance services ........ 1Not available. r = revised. Digitized78 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis c = corrected, 19. Consumer Price Index for All Urban Consumers: Cross classification of region and population size class by expenditure category and commodity and service group [December 1977 = 100] Size class A (1.25 million or more) Category and group Size class B (385,000^1.250 million) 1982 Feb. Apr. Size class C (75,000-385,000) 1982 June Feb. Apr. Size class D (75,000 or less) 1982 June Feb. 1982 Apr. June Feb. Apr. June Northeast EXPENDITURE CATEGORY All items ............................................................................................................ Food and beverages .................................................................................... Housing ...................................................................................................... Apparel and upkeep .................................................................................... Transportation.............................................................................................. Medical care................................................................................................ Other goods and services ............................................................................ 144.2 143.3 146.0 117.0 156.5 145.1 133.3 136.9 143.6 143.7 144.5 119.1 153.7 146.4 135.5 139.0 147.7 145.9 151.6 118.6 157.2 147.5 136.5 139.8 150.7 142.7 155.7 120.5 164.2 147.0 132.4 140.6 150.0 142.2 155.3 122.5 160.0 148.9 136.2 141.1 155.5 144.1 165.2 122.8 164.6 150.2 137.5 142.1 158.1 145.7 172.5 123.1 161.6 148.7 136.1 142.9 158.6 147.4 173.3 127.4 158.6 150.4 135.8 145.3 163.5 148.8 182.1 128.3 162.2 152.7 136.4 146.7 151.4 140.4 159.5 119.9 161.7 144.8 137.6 140.6 151.9 140.4 160.5 125.1 158.1 151.5 139.0 142.9 156.9 142.9 169.3 123.4 161.2 155.4 141.1 144.0 COMMODITY AND SERVICE GROUP Commodities...................................................................................................... Commodities less food and beverages .......................................................... Services ............................................................................................................ 142.1 141.4 146.9 140.8 139.0 147.4 144.6 143.8 151.8 147.9 150.5 155.1 146.6 148.7 155.4 151.5 155.1 161.9 150.1 152.2 171.0 149.6 150.6 173.4 153.8 156.2 179.1 147.6 151.0 157.3 146.5 149.4 160.4 150.6 154.3 166.8 North Central region EXPENDITURE CATEGORY All items ............................................................................................................ Food and beverages .................................................................................... Housing ...................................................................................................... Apparel and upkeep .................................................................................... Transportation.............................................................................................. Medical care................................................................................................ Entertainment .............................................................................................. Other goods and services ............................................................................ 153.6 141.6 164.9 112.7 161.1 148.4 137.1 138.8 155.2 141.9 168.8 114.8 158.7 150.9 137.0 140.3 159.6 144.1 175.1 114.0 165.1 153.0 137.1 141.4 151.9 140.8 159.9 121.1 159.7 150.8 126.4 145.1 155.1 141.7 167.2 122.7 156.9 152.8 130.3 146.5 155.3 142.8 163.3 123.0 163.2 155.2 129.5 152.5 149.1 143.1 152.7 121.8 161.0 150.3 136.1 137.3 151.2 143.1 157.2 125.8 158.4 153.8 138.1 139.0 155.2 145.0 162.1 124.7 165.7 155.6 139.2 141.2 151.0 144.7 155.5 119.5 160.3 154.5 132.5 144.6 153.3 146.2 160.7 123.5 157.2 157.0 130.9 146.4 156.4 148.7 164.0 120.5 163.1 158.3 131.5 148.3 COMMODITY AND SERVICE GROUP Commodities...................................................................................................... Commodities less food and beverages .......................................................... Services ............................................................................................................ 145.2 146.9 166.1 145.4 147.0 169.8 149.4 151.9 174.8 145.4 147.3 162.6 146.4 148.3 169.3 148.5 150.9 166.2 143.5 143.6 158.4 144.3 144.8 162.4 148.8 150.5 165.6 142.1 141.0 165.0 143.7 142.6 168.7 147.9 147.6 169.8 South EXPENDITURE CATEGORY All items ............................................................................................................ Food and beverages .................................................................................... Housing ...................................................................................................... Appare' and upkeep .................................................................................... Transportation.............................................................................................. Medical care................................................................................................ Entertainment .............................................................................................. Other goods and services ............................................................................ 152.6 144.2 160.2 122.6 161.5 145.9 129.3 141.2 152.9 145.0 161.1 125.6 157.5 149.5 130.1 142.8 156.3 146.7 165.2 124.9 163.4 152.8 132.0 144.1 157.2 144.8 168.3 121.1 162.8 150.5 140.0 140.7 155.7 144.9 165.2 124.3 159.7 152.3 141.2 142.4 158.4 146.9 167.2 123.6 167.0 154.5 143.1 143.3 154.0 144.1 162.7 117.0 160.7 155.4 140.4 142.0 152.3 144.0 159.1 120.2 157.1 160.1 141.1 143.7 157.6 146.0 167.0 118.6 165.1 162.5 142.7 144.5 152.3 146.1 158.8 105.7 159.9 162.5 140.4 147.9 153.5 145.9 161.5 111.1 155.8 165.1 145.7 150.2 156.5 147.7 164.6 109.4 163.3 166.6 145.2 150.4 COMMODITY AND SERVICE GROUP Commodities...................................................................................................... Commodities less food and beverages .......................................................... Services ............................................................................................................ 146.8 148.0 160.7 146.3 146.9 162.1 149.1 150.1 166.5 148.4 149.9 170.4 147.6 148.8 167.8 150.9 152.6 169.8 146.0 146.8 166.3 144.3 144.5 164.5 149.2 150.6 170.6 145.0 144.6 163.3 146.0 146.0 164.8 149.7 150.5 166.8 West EXPENDITURE CATEGORY All 'terns ............................................................................................................ Food and beverages .................................................................................... Housing ...................................................................................................... Apparel and upkeep .................................................................................... Transportation.............................................................................................. Medical care................................................................................................ Entertainment .............................................................................................. Other goods and services ............................................................................ 157.9 143.9 167.2 121.7 164.2 157.8 135.1 144.5 158.5 144.5 168.1 120.6 162.9 160.7 137.7 147.5 160.8 146.4 170.1 120.0 167.7 164.4 138.5 147.0 157.1 147.9 164.9 126.4 163.6 153.7 135.5 145.3 157.0 147.6 164.8 126.6 161.7 156.0 136.8 148.9 158.6 148.9 165.6 125.2 165.9 159.5 139.4 149,1 150.2 143.4 154.4 118.8 160.9 154.8 130.4 137.1 151.1 143.5 156.3 119.7 158.3 157.3 133.9 139.5 149.7 145.1 150.3 122.3 163.5 159.6 134.2 139.9 153.3 148.1 153.9 131.9 164.5 157.9 147.8 147.6 157.9 148.5 163.5 140.4 160.5 162.4 148.9 149.8 159.9 149.9 165.5 140.5 162.8 166.2 150.6 153.3 COMMODITY AND SERVICE GROUP Commodities...................................................................................................... Commodities less food and beverages .......................................................... Services ............................................................................................................ 146.0 146.9 173.7 145.5 145.9 175.9 147.8 148.4 178.1 148.4 148.6 169.1 148.1 148.3 169.3 149.5 149.7 171.1 145.2 145.9 157.3 146.4 147.5 157.9 147.5 148.5 152.8 147.5 147.3 161.8 148.9 149.1 171.2 151.3 152.0 172.5 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 79 MONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Consumer Prices 20. Consumer Price Index— U.S. city average, and selected areas [1967=100 unless otherwise specified] All Urban Consumers Area' 1981 Urban Wage Earners and Clerical Workers (revised) 1982 1982 July Feb. Mar. Apr. May June July U.S. city average2 274.4 283.4 283.1 284.3 287.1 290.6 292.2 Anchorage, Alaska (10/67=100) Atlanta, Ga................................. Baltimore, Md............................. Boston, Mass............................. Buffalo, N.Y................................ 246.1 260.0 279.8 272.5 266.3 281.9 269.8 259.9 Chicago, lll.-Northwestern Ind. Cincinnati, Ohio-Ky.-Ind......... Cleveland, O hio.................. Dallas-Ft. Worth, Tex............ Denver-Boulder, Colo............ 272.7 273.3 Detroit, Mich........................................... Honolulu, Hawaii .................................. Houston, Tex.......................................... Kansas City, Mo.-Kansas ...................... Los Angeles-Long Beach, Anaheim, Calif. 283.1 Miami, Fla. (11/77=100) .......... Milwaukee, Wis........................... Minneapolis-St. Paul, Minn.-Wis. . New York, N.Y.-Northeastern N.J. Northeast, Pa. (Scranton).......... 146.1 285.6 274.9 276.4 284.9 294.2 262.5 266.0 Philadelphia, Pa.-N.J. Pittsburgh, Pa........... Portland, Oreg.-Wash. St. Louis, Mo.-lll. . . . San Diego, Calif......... 280.8 269.4 305.4 San Francisco-Oakland, Calif. Seattle-Everett, Wash........... Washington, D.C.-Md.-Va. . . . 282.3 267.1 267.8 283.6 272.5 280.2 286.5 297.2 309.2 277.8 262.2 304.1 276.0 285.6 278.2 286.6 155.1 289.3 306.0 269.0 275.5 278.6 267.4 267.2 274.7 301.7 268.2 275.1 275.3 287.1 270.9 270.2 275.1 298.8 Statistical Area, as defined for the 1970 Census of Population, except that the Standard Consolidated 80 FRASER Digitized for https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 285.9 289.1 269.5 313.9 281.6 290.1 304.1 276.7 279.7 285.1 282.1 285.7 329.2 293.4 278.8 273.7 266.5 293.1 293.3 271.7 276.3 319.9 299.9 292.4 278.9 289.3 276.3 155.1 296.5 147.3 291.2 277.3 275.1 262.3 269.0 275.4 July 281.1 268.5 292.5 290.2 334.8 279.2 269.2 300.5 296.6 281.3 277.8 271.4 280.0 275.1 275.1 280.0 265.9 268.4 274.3 291.5 280.3 264.7 302.1 272.1 290.5 282.7 326.3 286.0 269.5 310.9 280.1 293.9 157.0 296.0 301.2 266.5 274.5 276.7 292.7 295.9 297.0 300.5 319.5 156.4 292.5 305.3 267.8 287.0 278.7 264.1 287.0 291.2 285.7 292.7 315.0 274.8 263.2 300.3 274.1 289.4 282.9 283.7 272.0 256.4 276.5 287.2 285.0 289.8 304.6 301.2 278.4 May 282.9 282.2 269.8 258.0 297,8 304.8 155.7 292.9 286.7 280.7 319.0 295.8 291.8 313.4 283.7 263.8 304.9 274.0 286.8 Apr. 282.7 286.1 279.2 265.8 287.7 288.7 Feb. 263.6 291.1 258.3 285.9 293.6 272.2 263.8 280.2 July 269.4 272.1 274.7 289.3 156.9 299.6 303.8 275.3 279.1 285.9 276.1 277.3 280.9 283.9 279.3 313.9 279.7 284.5 323.3 290.6 289.2 329.4 289.6 283.8 297.1 283.3 292.9 286.3 294.9 Area is used for New York and Chicago. 2 Average of 85 cities, 21. Producer Price indexes, by stage of processing [1967 = 100] Commodity grouping Annual average 1981 1982 1981 Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr.1 May June July Aug. FINISHED GOODS Finished goods.................................................................... 269.8 271.5 271.5 274.3 274.7 275.4 277.9 277.9 277.3 r 277.3 277.7 279.9 281.7 282.4 Finished consumer goods.............................................. Finished consumer foods............................................ Crude.................................................................... Processed ............................................................ Nondurable goods less foods .................................... Durable goods .......................................................... Consumer nondurable goods less food and energy . . . . Capital equipment ........................................................ 271.3 253.6 263.8 250.6 319.6 218.6 208.8 264.3 273.0 256.3 256.9 254.2 322.1 218.3 210.4 265.8 273.1 256.2 253.5 254.4 324.2 215.8 211.8 265.3 275.1 254.0 253.8 252.0 324.3 224.5 212.6 271.5 275.2 252.7 260.0 249.9 325.4 224.7 213.6 273.0 275.8 252.9 273.9 249.0 326.3 225.4 213.9 274.1 278.3 256.4 280.6 252.1 329.3 226.2 217.4 276.2 278.6 258.2 282.5 254.0 330.3 224.0 219.6 275.0 277.7 257.1 263.3 254.5 328.8 223.9 220.5 275.8 r 277.3 r 260.0 '266.6 '257.3 '325.7 '224.1 '222.3 '277.2 277.6 262.3 259.4 260.4 324.1 224.7 222.9 278.3 280.0 263.4 254.3 262.0 328.1 226.2 222.9 279.6 282.0 260.7 240.6 260.4 334.7 227.0 223.3 280.9 282.7 259.8 238.6 259.6 336.7 227.7 224.0 281.4 Intermediate materials, supplies, and components.................. 306.0 310.1 309.7 309.4 309.0 309.4 311.0 311.1 310.6 '309.9 309.8 310.0 311.4 311.0 Materials and components for manufacturing.................. Materials for food manufacturing ................................ Materials for nondurable manufacturing ...................... Materials for durable manufacturing............................ Components for manufacturing .................................. 286.1 260.4 285.8 312.1 259.3 289.8 261.0 291.0 316.0 261.8 290.2 254.6 291.2 317.1 263.8 290.2 250.9 290.9 316.7 265.1 289.5 246.8 289.4 314.9 266.9 289.3 245.6 288.8 314.0 267.8 290.4 250.7 289.0 313.6 269.8 290.9 252.8 289.3 313.1 270.9 290.4 252.0 288.8 310.9 271.8 '290.6 '254.4 '287.6 '311.0 '272.6 291.5 260.0 288.1 310.6 273.8 290.0 260.9 285.8 307.3 273.9 289.6 260.0 283.6 308.2 274.2 289.1 258.3 282.9 307.2 274.6 Materials and components for construction .................... 287.6 290.7 290.0 290.1 290.2 291.1 292.0 293.0 293.3 '294.0 293.4 294.2 294.0 293.3 Processed fuels and lubricants ...................................... Manufacturing Industries ............................................ Nonmanufacturing Industries ...................................... 595.4 498.6 680.8 607.8 508.3 695.6 601.4 500.5 690.5 596.9 497.5 684.7 595.1 496.4 682.2 598.1 499.0 685.6 604.4 505.9 691.3 596.8 497.8 684.2 593.0 496.1 678.3 '579.9 '487.5 '661.1 569.9 482.3 646.7 581.2 492.0 659.3 601.6 508.4 683.4 603.8 511.0 685.2 Containers.................................................................... 276.1 280.3 280.6 280.9 280.6 280.2 282.5 285.5 286.3 '287.0 287.1 286.7 286.4 285.6 273.5 267.3 277.0 211.1 290.7 272.9 267.1 276.2 203.7 291.3 INTERMEDIATE MATERIALS 263.8 253.1 269.6 230.4 276.4 266.1 256.0 271.6 229.1 279.3 266.1 256.8 271.1 221.3 280.7 266.6 258.2 271.2 215.9 282.3 267.2 259.2 271.6 212.0 283.7 268.3 261.0 272.4 214.6 284.1 269.8 262.6 273.8 214.8 285.7 270.4 263.3 274.4 212.0 287.3 270.6 264.5 274.1 208.1 287.9 '272.1 '265.3 276.0 '213.1 '288.9 273.6 267.2 277.2 214.2 290.2 273.6 267.3 277.1 213.1 290.4 Crude materials for further processing.................................. 329.0 333.0 327.4 319.9 313.9 311.5 318.4 321.6 320.0 '322.6 328.1 325.7 323.4 320.5 Foodstuffs and feedstuffs.............................................. 257.4 261.8 253.4 245.7 238.3 233.7 242.6 248.3 247.9 '254.4 262.3 259.8 255.5 250.7 467.9 470.0 471.1 Supplies ...................................................................... Manufacturing Industries ............................................ Nonmanufacturing Industries ...................................... Feeds .................................................................... Other supplies........................................................ CRUDE MATERIALS Nonfood materials ........................................................ 482.3 485.3 486.0 479.2 476.3 478.6 481.5 479.3 475.2 '469.9 470.4 Nonfood materials except fuel .................................... Manufacturing Industries.......................................... Construction .......................................................... 413.7 429.4 261.8 413.9 429.6 263.1 410.2 425.4 263.6 404.1 418.6 264.7 397.8 411.7 264.8 396.2 409.8 265.2 399.5 413.2 267.6 394.8 407.5 270.5 387.1 398.4 273.2 '378.8 389.0 '273.3 376.6 386.4 274.0 370.0 378.9 273.7 369.1 378.4 270.4 369.6 378.9 270.7 Manufacturing industries.......................................... Nonmanufacturing Industries.................................... 751.2 864.9 674.0 766.7 883.0 687.8 788.7 911.4 704.8 779.0 898.4 697.8 792.5 915.8 708.2 813.0 942.5 724.0 812.9 940.3 725.6 824.5 954.4 735.4 839.7 974.7 746.6 '851.2 '989.1 '755.8 866.1 1,008.2 767.4 885.2 1,033.6 781.7 903.1 1,056.0 796.0 906.9 1,060.9 798.9 Finished goods excluding foods............................................ Finished consumer goods excluding foods...................... Finished consumer goods less energy............................ 273.3 276.5 233.6 274.6 277.7 235.0 274.7 277.9 234.9 279.1 281.6 237.2 280.0 282.4 237.2 280.9 283.2 237.6 283.0 285.2 240.5 282.4 284.9 241.3 281.9 284.0 241.3 '281.1 '282.3 '243.0 280.9 281.6 244.1 283.4 284.6 244.9 286.7 288.7 244.5 287.9 290.1 244.7 Intermediate materials less foods and feeds.......................... Intermediate materials less energy ................................ 310.1 285.2 314.5 288.5 314.6 288:7 314.6 288.8 314.5 288.5 314.9 288.7 316.4 289.9 316.4 290.7 316.0 290.5 '315.1 '291.0 314.6 291.7 314.8 290.9 316.4 290.6 316.3 290.0 Intermediate foods and feeds .............................................. 250.3 250.2 243.5 239.3 235.2 235.2 238.8 239.4 237.7 '240.9 245.0 245.3 244.1 240.6 Crude materials less agricultural products ............................ Crude materials less energy.......................................... 545.6 254.0 549.1 258.0 551.4 250.4 543.4 243.2 540.7 235.8 543.5 231.6 546.1 239.1 543.9 243.4 538.4 242.8 '531.6 '247.3 531.7 252.5 529.4 248.6 531.8 245.0 532.2 241.5 SPECIAL GROUPINGS 1Data for April 1982 have been revised to reflect the availability of late reports and corrections by respondents. All data are subject to revision 4 months after original publication. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis r=revised. 81 M ONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Producer Prices 22. Producer Price Indexes, by commodity groupings [1967 = 100 unless otherwise specified] Annual average 1981 Aug. Sept. Oct. Nov, Dec. Jan. Feb. Mar. Apr.' May June July Aug. All commodities ...................................... All commodities (1957-59 = 100)................ 293.4 311.3 296.4 314.5 295.7 313.7 296.1 314.2 295.5 313.5 295.8 313.8 298.3 316.5 298.6 316.8 298.0 316.2 '298.0 '316.2 298.6 316.8 299.4 317.7 300.6 318.9 300.4 318.7 Farm products and processed foods and feeds.......... Industrial commodities ............................ 251.5 304.1 254.2 307.2 250.3 307.4 246.0 309.0 242.5 309.3 241.0 310.0 246.0 311.8 248.4 311.6 247.5 311.0 '251.6 309.9 255.6 309.5 255.3 310.7 252.5 313.0 250.1 313.4 Hay, hayseeds, and oilseeds .................................... Other farm products ................................ 254.9 267.3 248.4 248.0 201.2 242.0 287.4 187.1 274.1 273.8 257.9 258.1 242.7 262.0 210.3 232.5 285.0 180.7 284.3 263.9 251.1 252.8 227.0 257.3 196.7 206.5 287.3 193.2 267.2 268.9 243.1 248.8 227.6 244.5 185.7 211.7 294.3 193.8 230.4 263.3 237.4 254.0 226.5 231.1 175.0 198.5 288.2 209.7 221.1 273.1 234.6 280.5 213.6 225.0 171.4 188.4 286.7 195.5 218.8 280.2 242.2 289.2 225.2 236.8 186.8 198.2 287.6 187.0 218.4 280.1 247.1 290.1 223.2 251.2 197.3 193.5 285.8 200.6 217.6 273.7 244.7 257.3 220.9 255.6 197.7 199.5 282.5 204.0 213.7 273.0 250.6 '267.6 226.0 267.6 186.2 207.4 280.3 192.1 222.8 274.2 256.1 270.7 228.2 282.9 192.7 214.1 278.8 164.3 224.3 273.9 252.7 263.8 225.7 277.5 207.2 203.1 278.9 159.3 219.3 271.8 246.5 238.4 212.8 270.3 212.5 220.8 279.0 171.7 220.0 265.5 242.0 237.7 197.2 268.4 189.3 207.5 278.8 171.7 218.1 274.4 02 02-1 02-2 02-3 02-4 02-5 02-6 02-7 02-8 02-9 Processed foods and feeds............................ Cereal and bakery products.............................. Meats, poultry, and fish ............................ Dairy products............................................ Processed fruits and vegetables.................. Sugar and confectionery ........................................ Beverages and beverage materials.............................. Fats and o ils ................................ Miscellaneous processed foods ........ Prepared animal feeds................................ 248.7 255.5 246.2 245.6 261.2 275.9 248.0 227.4 250.1 230.2 251.2 257.7 254.4 245.3 267.3 267.3 249.4 229.5 252.1 228.9 248.9 258.5 253.3 245.5 270.0 246.8 249.1 224.3 253.0 222.9 246.6 256.9 246.6 246.8 271.7 246.7 250.0 223.4 249.9 218.1 244.3 256.5 240.0 246.9 270.5 244.1 251.4 221.5 250.1 214.7 243.6 255.1 236.1 247.2 271.8 247.6 251.9 219.1 250.1 217.2 247.1 256.6 243.7 247.7 273.2 256.8 253.9 216.6 251.0 217.4 248.1 253.3 247.9 248.0 276.3 257.2 255.1 216.8 250.9 214.9 248.1 253.3 250.0 248.0 275.9 255.0 256.4 213.7 249.5 211.4 '251.1 '253.5 '258.2 248.4 '275.2 '256.0 256.6 '218.1 '249.6 '216.3 254.4 253.9 267.1 248.5 273.4 265.8 256.7 222.2 248.0 217.4 255.8 253.3 271.1 248.7 275.4 269.5 256.5 222.0 248.6 216.4 254.8 253.6 266.1 248.8 275.9 276.1 256.7 221.4 248.0 214.6 253.6 253.2 262.3 249.0 274.9 286.0 257.3 216.0 245.9 207.9 03 03-1 03-2 03-3 03-4 03-81 03-82 Textile products and apparel.......................... Synthetic fibers (12/75 = 100)................ Processed yarns and threads (12/75 = 1 0 0 )............ Gray fabrics (12/75 = 100)................ Finished fabrics (12/75 = 100) .. Apparel.............................. Textile housefurnishlngs.............................. 199.7 156.3 138.0 146.8 125.2 186.0 226.7 202.4 161.2 142.0 149.0 126.8 187.8 228.8 202.9 161.0 142.3 149.1 126.8 188.0 232.2 204.0 162.7 144.4 148.0 126.7 189.9 233.0 203.6 161.6 140.3 147.4 126.5 190.8 233.4 203.4 161.5 139.6 147.2 125.6 191.0 233.6 205.0 162.9 139.2 148.2 126.8 192.7 237.6 205.6 163.2 140.7 147.3 127.1 193.2 240.8 205.0 161.3 140.5 146.6 125.6 193.4 241.4 '205.4 '163.0 140.4 '146.3 '125.4 '194.1 '241.8 205.1 164.3 141.0 145.5 125.4 192.7 246.4 204.5 163.8 139.4 145.8 124.0 193.0 244.4 204.1 162.4 139.2 144.8 123.8 193.1 243.0 203.9 163.1 135.9 144.5 124.4 193.5 240.7 04 04-2 04-3 04-4 Hides, skins, leather, and related products Leather.................................... Footwear ............................ Other leather and related products.......... 260.9 319.8 240.9 241.8 261.3 313.7 242.5 245.1 261.7 313.2 242.9 245.0 260.0 313.7 239.6 245.0 259.8 311.3 239.8 245.4 260.7 312.3 240.1 245.4 261.8 319.0 238.9 247.5 261.6 317.7 238.6 248.1 260.6 313.3 239.8 248.1 '263.4 '310.6 '244.8 '248.1 263.4 309.5 242.5 253.2 262.7 306.7 243.8 250.5 261.3 307.4 241.7 252.0 263.2 304.7 247.3 249.9 05 05-1 05-2 05-3 05-4 05-61 05-7 Fuels and related products and power . . Coal............................ Coke .............................. Gas fuels2 ................................ Electric power............................ Crude petroleum3 .......................... Petroleum products, refined4 ............ 694.5 497.2 456.4 939.4 367.2 803.5 805.9 704.3 507.0 469.7 949.3 385.8 796.8 813.4 703.5 510.2 469.7 976.6 383.8 796.8 806.1 698.1 510.8 469.7 965.6 378.4 788.2 802.3 698.1 512.7 469.7 983.0 378.3 785.9 798.3 702.5 515.2 469.7 1,003.7 384.2 787.2 798.6 705.1 525.3 469.7 987.9 392.8 787.2 801.9 697.8 529.9 469.7 987.6 392.9 770.3 789.7 689.7 529.6 467.5 990.5 403.7 744.8 770.6 '670.6 '532.6 '467.5 '992.7 '406.3 '717.9 '733.5 06 06-1 06-21 06-22 06-3 06-4 06-5 06-6 06-7 Chemicals and allied products.............. Industrial chemicals 5 ........................ Prepared paint........................ Paint materials .................. Drugs and pharmaceuticals .................. Fats and oils, inedible .......... Agricultural chemicals and chemical products . . . Plastic resins and materials .............. Other chemicals and allied products................ 287.6 363.3 249.8 300.1 193.5 295.6 285.0 289.2 254.2 293.3 371.5 250.7 308.5 195.0 305.6 293.4 297.5 257.3 293.3 371.8 250.7 308.0 197.8 285.6 292.6 296.8 257.4 292.4 367.9 250.7 308.1 198.5 277.7 293.1 299.5 256.9 292.0 363.7 254.5 308.3 198.2 282.5 295.7 293.2 259.9 291.8 362.8 256.4 305.8 198.9 280.4 294.9 294.2 260.0 292.9 362.9 258.9 306.6 202.2 272.8 296.8 286.1 263.8 293.6 362.2 258.9 306.4 204.4 274.2 298.0 287.3 264.9 294.6 361.4 258.9 306.8 205.9 290.1 297.1 285.5 268.5 '294.3 '357.8 '258.9 '306.7 '208.9 282.6 '295.8 '286.0 '270.0 296.2 358.1 265.1 306.2 209.4 288.4 294.9 285.4 275.9 293.5 352.9 265.1 304.2 209.6 287.5 294.0 281.9 273.0 291.6 349.7 265.1 304.3 209.9 278.2 291.5 280.6 270.7 291.6 349.7 265.1 302.3 211.1 254.2 290.6 282 4 271.8 07 07-1 07-11 07-12 07-13 07-2 Rubber and plastic products ................ Rubber and rubber products.................. Crude rubber .................. Tires and tubes.......................... Miscellaneous rubber products............ Plastic products (6/78 = 100) ................ 232.6 256.2 281.8 250.6 251.4 128.5 234.1 256.9 284.7 249.9 253.1 129.8 235.7 260.3 283.1 256.5 253.9 129.9 237.3 262.9 279.8 257.1 261.1 130.3 238.0 264.4 279.0 255.9 266.7 130.3 238.3 264.6 280.8 255.4 267.2 130.6 237.3 262.5 281.8 253.6 263.8 130.5 239.3 266.0 282.1 256.7 268.8 131.0 240.8 266.7 283.5 253.7 274.3 132.3 '241.1 '266.6 '283.3 '253.4 '274.7 ' 132.6 242.9 271.2 283.6 255.0 284.6 132.3 243.3 271.5 282.4 255.3 285.4 132.6 243.1 271.6 280.2 255.6 286.1 132.3 243.6 272.5 278.6 257.9 286.0 132.3 08 08-1 08-2 08-3 08-4 Lumber and wood products.............. Lumber.................... Millwork .......................... Plywood .................. Other wood products................................ 292.8 325.1 273.4 245.7 239.1 294.5 329.9 272.3 245.6 239.8 289.3 320.2 271.4 240.8 240.5 284.3 311.7 271.3 234.3 239.9 282.1 306.6 271.8 233.5 239.3 285.4 309.9 273.7 239.7 239.4 285.5 310.0 277.1 237.4 238.2 285.2 308.1 278.6 235.1 238.7 285.3 308.2 276.5 236.5 238.6 '286.5 '312.4 '276.6 '234.0 237.7 283.9 309.2 275.8 230.6 237.3 288.7 315.2 280.1 238.9 237.1 288.3 319.2 281.8 232.4 236.0 284.4 312.7 280.2 229.3 235.8 Code 01 01-1 01-2 01-3 01-4 01-5 01-6 01-7 01-8 01-9 Commodity group and subgroup FARM PRODUCTS AND PROCESSED FOODS AND FEEDS Farm products ........................................................ Fresh and dried fruits and vegetables ................................ Grains........................................................ Livestock ...................................................... Live poultry.................................................... Plant and animal fibers...................................... Fluid milk .................................... Eggs................................................................................ 1981 1982 INDUSTRIAL COMMODITIES See footnotes at end of table. Digitized 82 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 661.9 677.4 701.8 705.7 534.4 534.1 538.6 539.1 462.7 468.2 463.9 460.0 1,003.4 1,029.7 1,055.4 1,073.7 405.5 406.6 416.9 415.3 718.2 718.5 718.7 718.7 712.7 738.5 777.1 781.8 22. Continued — Producer Price Indexes, by commodity groupings [1967=100 unless otherwise specified] Commodity group and subgroup Code Annual average 1981 Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr.1 May June July Aug. 1982 1981 INDUSTRIAL COMMODITIES-Continued 09 09-1 09-11 09-12 09-13 09-14 09-15 09-2 Pulp, paper, and allied products.................................................... Pulp, paper, and products, excluding building paper and board . . . Woodpulp................................................................................ Wastopaper ............................................................................ Paper ...................................................................................... Paperboard.............................................................................. Converted paper and paperboard products................................ Building paper and board.......................................................... 273.8 270.8 397.1 175.7 279.8 258.1 258.8 231.7 275.9 273.7 394.2 182.1 282.1 260.6 262.4 234.2 277.8 274.8 394.2 178.5 285.9 261.6 262.8 234.2 279.2 275.7 402.3 165.1 287.8 261.7 263.2 233.3 280.4 275.8 413.7 144.5 287.4 261.6 263.1 232.1 281.0 275.6 413.7 143.4 287.2 260.0 263.2 230.3 285.5 276.1 410.3 135.2 289.2 259.7 263.9 233.8 286.3 276.8 410.3 128.8 289.8 261.4 264.7 231.4 287.4 276.6 411.6 129.2 289.6 261.1 264.5 239.6 r 288.5 '275.3 '389.9 128.1 '289.4 261.2 '264.3 '236.3 289.1 275.4 398.2 121.5 288.8 258.8 264.7 239.5 289.3 274.6 390.3 115.2 288.2 255.9 265.0 239.4 288.9 272.9 370.5 115.6 287.0 255.0 264.6 239.2 289.1 272.6 369.2 116.0 286.1 255.5 264.4 243.8 10 10-1 10-17 10-2 10-3 10-4 10-5 10-6 10-7 10-8 Metals and metal products .......................................................... Iron and steel .......................................................................... Steel mill products.................................................................... Nonferrous metals.................................................................... Metal containers ...................................................................... Hardware................................................................................ Plumbing fixtures and brass fittings............................................ Heating equipment.................................................................... Fabricated structural metal products.......................................... Miscellaneous metal products.................................................... 300.4 333.8 337.6 285.8 315.6 263.2 267.5 224.2 295.5 270.5 304.1 339.9 344.9 287.3 318.7 265.3 271.2 227.9 299.3 272.9 304.9 339.8 345.3 289.4 318.8 267.8 271.6 228.5 300.0 273.7 3053 341.3 348.7 2854 318.2 269.5 272.9 229.0 302.6 276.1 304.2 340.0 348.6 281.1 318.1 271.5 273.1 228.8 303.2 278.0 303.3 339.9 348.9 277.1 316.8 272.0 274.0 229.9 303.0 278.3 304.7 343.1 350.6 274.4 324.3 274.1 274.6 233.4 303.4 281.2 304.2 342.9 350.3 273.6 326.2 274.8 276.4 233.1 304.0 278.7 302.9 342.5 350.5 267.2 327.2 278.2 279.1 235.4 304.5 279.0 '303.1 '342.8 352.2 266.1 '330.0 '278.5 280.3 '236.0 '305.2 '279.7 303.4 341.2 352.1 263.5 330.1 276.7 281.0 237.3 304.8 290.0 300.1 338.3 349.9 253.7 330.2 277.9 282.5 238.6 305.2 289.5 300.2 337.4 349.1 256.1 329.9 278.9 283.0 239.1 303.8 288.8 300.2 337.4 348.7 256.1 328.8 280.3 274.7 238.6 304.4 288.9 11 11-1 11-2 11-3 11-4 11-6 11-7 11-9 Machinery and equipment ............................................................ Agricultural machinery and equipment........................................ Construction machinery and equipment...................................... Metalworking machinery and equipment .................................... General purpose machinery and equipment................................ Special industry machinery and equipment ................................ Electrical machinery and equipment .......................................... Miscellaneous machinery.......................................................... 263.3 288.3 320.8 301.3 288.7 307.9 220.2 252.6 266.2 290.3 325.0 303.5 292.3 310.3 222.8 256.0 268.1 292.8 326.5 305.3 293.9 312.8 224.2 258.5 269.3 295.5 328.3 306.6 295.1 314.6 225.3 259.0 270.4 300.8 329.6 307.9 296.2 315.0 226.0 259.8 272.0 302.8 332.0 312.9 297.9 316.4 227.0 260.4 274.1 303.1 337.0 315.9 300.0 320.4 228.7 261.4 275.4 304.6 337.9 317.2 301.3 320.7 229.5 264.0 276.2 306.4 339.2 317.8 302.0 321.3 230.3 264.9 '277.6 '306.8 '341.5 '319.6 '303.4 '322.9 '231.7 '266.1 278.1 307.0 343.4 320.3 303.3 324.1 231.7 267.2 278.4 308.8 343.7 320.8 303.1 324.7 231.9 268.0 279.4 310.2 346.1 321.9 304.4 327.1 232.0 268.9 279.7 311.4 346.4 322.4 304.5 326.9 232.0 270.3 12 12-1 12=2 12-3 12-4 12-5 12-6 Furniture and household durables ................................................ Household furniture.................................................................. Commercial furniture................................................................ Floor coverings ........................................................................ Household appliances .............................................................. Home electronic equipment ...................................................... Other household durable goods ................................................ 198.5 219.7 257.5 178.7 187.3 89.2 281.0 199.6 220.7 259.1 181.9 189.1 87.6 280.9 201.0 222.2 261.6 181.7 190.1 87.8 285.8 201.3 222.8 262.1 180.9 190.8 88.1 285.8 202.1 225.1 263.3 182.3 190.9 88.0 285.3 202.9 226.6 263.9 181.4 191.3 89.6 286.2 203.5 227.5 266.7 180.3 193.4 89.3 283.4 204.6 227.4 271.2 180.6 195.3 89.6 283.7 205.5 227.6 273.6 180.6 197.3 89.1 285.0 '206.0 '229.7 '274.2 '181.1 '197.8 '87.9 '285.9 206.1 230.9 275.5 180.5 197.8 88.1 283.1 206.6 231.1 276.2 180.7 198.5 88.2 284.6 206.8 230.9 277.8 180.1 199.3 88.2 283.6 207.4 231.4 278.0 179.4 200.1 88.0 287.4 13 13-11 13-2 13-3 13-4 13-5 13-6 13-7 13-8 13-9 Nonmetallic mineral products........................................................ Flat glass ................................................................................ Concrete ingredients ................................................................ Concrete products.................................................................... Structural clay products, excluding refractories .......................... Refractories ............................................................................ Asphalt roofing ........................................................................ Gypsum products .................................................................... Glass containers ...................................................................... Other nonmetallic minerals........................................................ 309.5 212.6 296.3 291.2 249.8 302.4 407.5 256.2 328.7 463.8 314.1 218.3 298.0 293.4 250.9 307.1 420.9 255.3 335.5 475.3 313.2 218.3 298.5 292.9 255.3 307.1 401.6 252.9 335.5 474.3 313.3 218.5 298.4 293.3 256.2 307.8 402.9 252.4 335.5 473.3 313.7 218.5 298.5 293.4 256.5 308.9 410.2 251.3 335.5 473.5 313.5 216.1 298.7 293.6 257.5 311.3 405.6 249.7 335.5 474.7 315.6 216.2 306.2 295.5 257.5 316.8 401.3 250.4 335.4 474.7 319.0 216.2 308.4 295.9 257.7 335.1 400.4 255.0 352.2 478.7 319.9 216.2 309.8 296.3 257.7 337.4 394.4 260.7 356.0 479.6 '320.2 216.2 '309.5 '297.7 '258.1 338.7 '386.7 '263.2 '358.1 '479.1 319.1 216.2 310.7 297.1 258.1 340.4 384.0 259.4 357.4 472.1 318.7 216.2 310.9 297.9 258.4 340.9 388.8 256.4 357.4 465.2 320.3 226.1 310.6 298.2 258.8 340.9 392.3 255.8 357.4 466.4 320.4 226.1 311.7 298.3 258.8 341.2 392.5 253.9 357.3 466.2 14 14-1 14-4 Transportation equipment (12/68 - 100)...................................... Motor vehicles and equipment .................................................. Railroad equipment .................................................................. 235.4 237.6 336.1 235.9 238.4 338.7 231.8 232.8 338.7 244.5 247.8 338.7 246.3 248.9 341.3 246.8 249.5 340.1 248.6 250.8 345.8 245.2 246.8 345.8 245.2 246.8 346.3 '245.8 '247.2 '343.5 247.2 248.7 349.6 249.6 251.5 349.6 250.4 252.5 349.3 251.2 253.3 354.7 15 15-1 15-2 15-3 15-4 15-5 15-9 Miscellaneous products................................................................ Toys, sporting goods, small arms, ammunition............................ Tobacco products .................................................................... Notions.................................................................................... Photographic equipment and supplies........................................ Mobile homes (12/74 - 100).................................................... Other miscellaneous products .................................................. 265.7 211.9 268.3 259.8 210.0 156.8 347.4 262.6 212.7268.8 267.7 207.1 158.3 334.6 267.0 213.6 274.5 267.8 208.7 158.7 345.5 268.5 213.0 278.2 269.7 208.9 159.1 348.5 269.5 212.7 278.2 269.7 209.0 159.3 344.8 267.6 213.3 278.2 269.7 209.1 159.3 344.6 268.3 218.4 278.2 270.3 209.9 159.5 342.2 273.5 220.1 306.6 270.4 210.5 159.6 341.1 272.7 220.7 306.6 271.5 212.1 161.9 334.5 '273.2 '221.0 '306.7 '271.5 '214.2 '162.2 '334.1 272.3 222.7 306.7 280.3 210.9 162.1 330.8 271.6 222.9 306.7 280.3 210.8 162.5 328.0 273.8 222.9 311.3 280.3 210.6 162.5 333.1 272.4 224.4 311.3 280.3 210.6 162.5 326.5 1 Data for April 1982 have been revised to reflect the availability of late reports and corrections by respondents. All data are subject to revision 4 months after original publication. 2 Prices for natural gas are lagged 1 month. 3 Includes only domestic production. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 4 Most prices for refined petroleum products are lagged 1 month, 5 Some prices for industrial chemicals are lagged 1 month. r=revised. 83 MONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Producer Prices 23. Producer Price Indexes, for special commodity groupings [1967=100 unless otherwise specified] Annual C o m m odity grouping All com m odities — le s s fa rm p ro d u c ts 1981 1982 averag e .................................. All fo o d s P ro c e s s e d f o o d s .............................................................. Industrial commodities less fu e ls................................... Selected textile mill products (Dec. 1975 = 100 ).......... Hosiery........................................................................ Underwear and nightwear............................................. Chemicals and allied products, including synthetic rubber and fibers and yarns.................................................. 1981 Aug. Sept. Oct. Nov. Dec. Jan. Feb. 295.7 251.8 252.1 263.7 135.8 134.3 203.4 298.7 253.7 255.0 266.1 137.2 135.3 204.7 298.5 251.7 252.8 266.4 138.1 135.5 204.7 299.5 249.1 250.0 268.7 138.2 136.5 204.7 299.4 247.4 247.6 269.0 138.4 136.5 205.7 300.0 247.6 246.5 269.4 137.9 136.7 206.3 302.0 251.6 250.5 271.1 139.3 136.9 213.9 Mar. A p r .1 M ay June July Aug. 301.9 253.2 251.9 271.5 139.7 136.9 215.6 301.4 251.6 252.1 271.7 139.0 137.5 215.9 300.9 '254.7 '255.1 '272.3 '139.0 '138.0 '215.9 301.1 257.9 259.0 272.8 138.9 138.5 216.3 302.3 259.0 260.9 272.5 138.1 138.5 217.8 304.1 356.8 259.8 272.7 137.5 138.5 218.0 304.3 255.9 258.9 272.7 137.6 138.5 218.1 278.4 284.0 284.4 283.8 283.2 283.1 284.3 285.1 285.6 '285.6 287.3 2848 283.0 283.4 Pharmaceutical preparations......................................... Lumber and wood products, excluding millwork ............ Steel mill products, including fabricated wire products . . . Finished steel mill products, excluding fabricated wire products.................................................................... Finished steel mill products, including fabricated wire products.................................................................... 186.9 303.0 337.6 188.4 306.2 344.9 191.6 298.0 345.3 192.8 290.1 348.7 192.5 286.4 348.6 193.3 290.7 348.9 196.8 289.9 350.6 199.3 287.9 350.3 201.1 288.5 350.5 '204.5 '290.5 352.2 205.3 287.2 352.1 205.3 294.0 349.9 205.7 294.6 348.7 207.2 289.2 348.4 336.2 343.3 343.7 347.4 347.2 347.5 349.3 348.9 349.2 351.0 350.9 348.6 347.7 347.3 3362 343.3 343.7 347.4 347.2 347.5 349.3 348.9 349.2 351.0 350.9 348.6 347.4 347.0 Special metals and metal products ............................... Fabricated metal products ........................................... Copper and copper products ....................................... Machinery and motive products..................................... Machinery and equipment, except electrical.................. 279.4 280.0 203.8 256.7 288.5 281.9 283.1 206.2 258,6 291.7 280.1 283.9 205.1 257.7 293.8 286.7 286.0 201.9 264.3 295.0 286.8 287.0 198.9 265.8 296.4 286.6 287.1 195.4 266.9 298.4 287.9 289.4 194.5 268.9 300.7 286.0 289.0 194.1 268.1 302.3 285.3 289.9 190.8 268,5 303.1 '285.6 '290.8 '191.6 '269.6 '304.6 286.4 294.3 191.6 270.5 305.2 285.8 294.6 180.0 271.8 305.7 286.3 294.0 179.5 272.8 307.2 286.6 293.9 180.1 273.3 307.7 Agricultural machinery, including tractors....................... Metalworking machinery................................................ Numerically controlled machine tools (Dec. 1971 = 100) Total tractors................................................................ Agricultural machinery and equipment less parts .......... 297.3 329.7 239.3 324.7 289.8 298.2 331.4 241.8 327.8 291.1 301.6 333.9 241.8 330.7 294.0 305.7 336.7 241.8 338.3 297.6 312.5 338.3 242.2 342.2 303.5 314.7 341.2 242.0 342.3 305.8 315.1 343.8 240.1 346.9 306.5 316.0 344.9 239.8 346.9 307.4 318.4 346.4 239.9 349.1 309.7 '319.0 348.8 '239.9 '352.4 '310.3 318.2 349.4 240.3 352.4 309.6 319.8 350.3 240.3 353.2 311.0 320.5 352.7 239.6 354.2 311.8 321.5 353.2 239.6 354.8 312.5 Farm and garden tractors less parts ............................. Agricultural machinery, excluding tractors less parts . . . . Industrial valves............................................................ Industrial fittings............................................................ Construction materials ................................................. 300.1 295.2 315.9 302.1 283.0 301.4 295.8 319.8 303.0 285.5 305.5 298.7 322.7 304.3 284.4 313.0 299.9 322.4 304.1 284.6 319.6 303.5 323.4 304.1 284.1 319.7 310.9 325.3 304.1 285.2 319.7 311.6 328.6 304.1 286.6 319.7 313.2 330.2 304.1 286.9 323.5 314.6 330.5 304.1 287.5 '323.5 '315.6 '331.1 '309.1 '288.2 322.9 314.7 327.9 309.1 287.9 324.3 316.5 327.2 309.1 289.1 324.2 317.7 329.2 310.2 289.0 324.8 319.0 329.2 310.2 288.2 ' Data for April 1982 have been revised to reflect the availability of late reports and corrections by respondents. All data are subject to revision 4 months after original publication. 24. r=revised, Producer Price Indexes, by durability of product [1967=100] Annual C o m m odity gro uping 1981 1982 averag e 1981 Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. A p r .1 May Total durable goods ...................................................... Total nondurable goods.................................................. 269.8 312.4 271.9 316.2 271.8 315.0 275.0 312.8 275.4 311.4 276.0 311.4 277.6 314.7 277.4 315.4 277.4 314.2 278.1 '313.6 278.4 314.5 Total manufactures........................................................ Durable................................................................. Nondurable ............................................................ 286.0 269.7 303.6 288.6 271.7 306.9 288.3 271.7 306.3 289.8 275.1 305.5 289.7 275.8 304.5 289.9 276.5 304.3 291.9 278.0 306.8 292.0 277.8 307.2 291.4 277.8 305.9 '291.1 '278.7 '304.1 Total raw or slightly processed goods .............................. Durable................................................................. Nondurable ............................................................ 330.7 271.2 334.0 335.8 275.9 339.1 332.7 270.4 336.3 326.4 263.7 330.0 323.3 253.4 327.4 323.6 247.8 328.2 328.9 253.8 333.4 330.6 253.7 335.2 329.7 250.1 334.5 '331.9 '245.3 '337.2 1Data for April 1982 have been revised to reflect the availability of late reports and corrections by respondents. All data are subject to revision 4 months after original publication. 25. June July Aug. 278.4 316.0 279.1 317.7 279.1 317.3 291.3 279.1 304.1 292.4 279.4 306.2 293.9 280.1 308.6 293.9 280.1 308.6 334.9 239.4 340.8 333.6 225.2 340.6 333.3 225.0 340.2 331.8 225.7 338.6 r=revised, Producer Price Indexes for the output of selected SIC industries [1967=100 unless otherwise specified] 1972 SIC Annual Industry description co d e 1981 1982 averag e 1981 Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. A p r.1 May June July Aug. 167.6 346.0 493.7 898.6 277.4 138.7 168.1 365.4 503.4 900.3 278.2 137.1 168.1 364.5 506.0 913.6 279.2 137.1 168.1 354.1 506.2 900.8 279.7 143.4 171.3 354.1 507.8 907.5 279.8 143.4 171.3 343.7 510.3 921.7 280.7 143.4 171.3 347.9 520.9 919.7 287.4 149.6 171.3 313.7 525.8 913.9 289.9 149.6 171.3 325.0 524.9 905.4 293.1 149.6 171.3 327.0 '527.9 '893.3 '292.6 151.7 177.1 308.3 529.4 902.0 294.4 151.7 177.1 307.5 529.8 915.1 295.2 151.7 177.1 306.2 533.5 925.3 295.3 151.7 177.1 287.5 534.7 926.7 296.5 151.7 243.1 241.4 192.0 274.8 250.9 254.0 201.2 273.7 252.7 253.9 188.8 275.0 244.1 252.2 175.5 279.2 237.0 248.9 172.8 279.5 234.1 247.0 166.7 275.0 237.6 245.6 (2) 275.0 244.4 251.0 <2) 276.4 247.3 248.6 (2) 276.8 '254.0 '253.0 (2) 275.3 264.3 265.9 (2) 274.9 265.7 273.7 (2) 274.9 258.4 272.2 (2) 275.0 253.0 275.4 (2) 276.3 MINING 1011 1092 1211 1311 1442 1455 Iron ores (12/75 = 100)............................................. Mercury ores (12/75 - 100)....................................... Bituminous coal and lignite ......................................... Crude petroleum and natural gas.................................. Construction sand and gravel ..................................... Kaolin and ball clay (6/76 = 100) ................................ 2011 2013 2016 2021 Meatpacking plants.................................................... Sausages and other prepared meats............................ Poultry dressing plants ............................................... Creamery butter........................................................ M AN U FA CTU R IN G See footnotes at end of table. https://fraser.stlouisfed.org 84 Federal Reserve Bank of St. Louis 25. Continued — Producer Price Indexes for the output of selected SIC industries [1967 = 100 unless otherwise specified] Annual 1972 SIC code 1982 1981 Industry description 1981 Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr.1 May June July Aug. 2022 2024 2033 2034 2041 2044 2048 2061 2063 2067 MANUFACTURING Continued Cheese, natural and processed (12/72 = 100).............. Ice cream and frozen desserts (12/72 - 100) .............. Canned fruits and vegetables........................................ Dehydrated food products (12/73 = 100)...................... Flour mills (12/71 =100) ............................................ Rice milling.................................................................. Prepared foods, n.e.c. (12/75 - 100)............................ Raw cane sugar .......................................................... Beet sugar .................................................................. Chewing gum .............................................................. 215.7 211.9 248.5 177.6 196.0 277.2 124.5 273.5 314.3 309.8 214.5 212.7 252.9 178.7 191.0 284.3 124.8 254.6 287.5 303.2 215.0 212.7 254.3 183.4 195.3 268.2 119.6 212.3 270.7 303.2 215.4 212.5 257.0 182.1 191.1 247.3 117.3 219.9 250.3 303.2 215.9 212.5 256.4 181.4 191.5 235.4 116.4 224.3 230.4 303.2 218.4 212.7 258.9 182.1 189.2 215.1 116.0 230.8 250.5 303.2 218.6 212.8 260.8 184.0 191.5 205.9 116.0 247.6 266.4 303.3 217.9 212.8 262.6 181.8 187.5 192.2 115.9 245.1 272.2 303.3 216.7 210.9 262.4 181.5 187.3 183.5 114.6 233.0 272.2 303.3 r 216.5 214.2 '262.3 181.5 192.5 177.9 115.4 242.9 r 269.7 303.4 217.1 214.2 262.3 178.5 188.4 183.0 116.7 269.2 280.2 303.4 217.9 214.2 264.6 178.5 189.1 180.3 115.7 286.7 280.2 303.4 218.6 213.6 265.5 180.4 185.5 177.6 115.4 311.5 290.5 303.3 218.8 213.6 263.2 180.0 180.2 183.0 113.3 318.1 297.4 304.7 2074 2075 2077 2083 2085 2091 2092 2095 2098 2111 Cottonseed oil m ills...................................................... Soybean oil m ills.......................................................... Animal and marine fats and oils .................................... Malt ............................................................................ Distilled liquor, except brandy (12/75 - 100) ................ Canned and cured seafoods (12/73 = 100) .................. Fresh or frozen packaged fish ...................................... Roasted coffee (12/72 - 100)...................................... Macaroni and spaghetti ................................................ Cigarettes.................................................................... 199.0 245.8 288.0 282.5 134.7 187.8 369.1 238.1 252.0 277.7 206.0 245.8 294.1 286.1 135.5 188.4 347.1 235.7 259.5 278.3 182.3 234.2 281.2 275.4 135.5 188.8 353.5 237.3 259.5 284.2 172.0 229.7 274.0 275.4 135.5 188.2 356.9 238.2 259.5 288.4 167.2 221.2 272.3 275.4 137.9 188.3 360.8 239.2 259.5 288.4 182.4 221.9 266.6 275.4 137.9 188.5 369.5 240.4 259.5 288.4 184.9 223.1 260.4 267.1 140.1 187.2 396.8 245.1 259.5 288.4 170.5 220.4 262.6 267.1 137.9 187.0 389.2 247.7 259.5 319.7 158.1 216.6 271.8 267.1 140.2 187.7 419.1 248.8 259.5 319.7 r 164.7 r 225.8 273.3 259.1 140.2 188.2 '432.2 '250.6 259.5 '319.8 167.9 232.0 271.5 259.8 139.8 188.0 427.5 247.9 259.5 319.8 170.2 226.4 272.3 259.8 139.8 188.4 442.8 247.6 259.5 319.8 174.6 224.1 264.3 259.8 139.8 187.8 418.9 247.0 259.5 324.9 173.1 205.5 242.4 259.8 140.4 184.3 426.2 246.4 259.5 324.9 2121 2131 2211 2221 2251 2254 2257 2261 2262 Cigars ........................................................................ Chewing and smoking tobacco...................................... Weaving mills, cotton (12/72 - 100) ............................ Weaving mills, synthetic (12/77 = 100) ........................ Women’s hosiery, except socks (12/75 - 100).............. Knit underwear mills .................................................... Circular knit fabric mills (6/76 - 100)............................ Finishing plants, cotton (6/76 - 100) ............................ Finishing plants, synthetics, silk (6/76 - 100) ................ 170.0 320.7 232.7 136.7 113.5 210.2 110.9 144.9 126.5 169.7 321.3 237.4 139.3 115.0 210.8 112.0 146.2 127.8 174.5 325.3 236.0 139.5 115.0 210.9 111.9 145.4 129.0 174.5 326.1 233.2 139.4 115.2 210.9 112.0 144.9 129.1 174.5 326.1 229.8 139.8 115.1 212.8 112.4 143.5 129.1 174.5 326.1 227.6 139.5 115.2 213.0 111.8 141.4 128.6 174.5 326.1 227.3 139.8 115.6 225.2 112.4 140.5 129.4 178.6 349.4 227.1 139.7 115.6 225.2 113.2 140.3 129.9 178.6 349.4 226.4 140.0 116.1 225.9 110.7 140.8 128.5 '179.6 349.4 '226.3 139.2 '116.2 226.0 110.2 141.6 '128.5 176.6 353.6 227.7 138.9 117.0 226.0 109.7 141.4 128.2 176.6 353.6 226.0 138.0 117.0 228.7 108.2 141.3 127.2 176.6 358.3 222.0 137.5 117.0 230.8 108.6 140.2 126.7 176.6 358.3 221.7 137.1 117.0 231.1 108.7 139.8 128.7 2272 2281 2282 2284 2298 2311 2321 2322 2323 2327 Tufted carpets and rugs................................................ Yarn mills, except wool (12/71 - 100) .......................... Throwing and winding mills (6/76 = 100) ...................... Thread mills (6/76 - 100)............................................ Cordage and twine (12/77 - 100)................................ Men’s and boys’ suits and coats.................................... Men’s and boys’ shirts and nightwear ............................ Men’s and boys’ underwear.................................. Men’s and boys’ neckwear (12/75 - 100) .................... Men’s and boys’ separate trousers................................ 154.2 221.7 139.3 151.4 134.8 224.0 209.5 230.6 114.6 186.2 157.4 225.4 146.8 151.1 134.3 226.2 210.6 230.8 113.9 186.4 157.3 223.8 148.0 154.8 139.3 226.5 211.5 230.8 113.9 186.4 155.7 222.4 154.5 157.0 139.3 227.4 212.4 230.8 113.9 186.8 157.0 219.9 145.6 157.0 139.3 228.4 212.6 233.0 113.9 186.9 156.7 217.2 146.0 156.8 140.7 230.5 213.4 233.0 113.9 187.1 155.5 216.3 145.7 156.8 141.0 233.7 173.4 246.9 115.3 188.4 155.7 215.7 150.3 156.8 141.0 233.6 215.9 246.9 117.3 188.4 155.7 215.4 150.0 156.8 141.0 233.8 216.9 247.4 117.3 188.4 156.1 '214.4 '151.0 156.7 141.0 '234.4 217.3 247.4 117.3 '194.1 156.4 214.9 152.6 156.6 141.0 234.6 173.6 247.4 117.3 194.9 156.9 214.0 149.3 156.5 141.0 235.3 215.7 251.2 121.3 195.0 156.1 213.7 149.0 156.5 141.0 237.2 216.0 251.2 121.3 195.6 155.4 213.2 140.4 158.0 141.0 239.8 216.1 251.2 121.3 195.6 2328 2331 2335 2341 2342 2361 2381 2394 2396 2421 Men’s and boys’ work clothing ...................................... Women's and misses’ blouses and waists (6/78 = 100) . Women's and misses’ dresses (12/77 - 100)................ Women’s and children’s underwear (12/72 = 100) ........ Brassieres and allied garments (12/75 = 100) .............. Children’s dresses and blouses (12/77 = 100).............. Fabric dress and work gloves........................................ Canvas and related products (12/77 = 100).................. Automotive and apparel trimmings (12/77 = 100).......... Sawmills and planing mills (12/71 = 100)...................... 248.6 120.6 121.3 169.7 136.7 120.9 289.3 132.0 131.0 228.2 251.1 121.2 124.3 170.6 138.8 121.7 289.2 133.1 131.0 231.2 251.2 121.3 123.5 170.6 138.8 121.7 289.2 134.6 131.0 225.2 253.1 126.4 123.4 170.6 138.8 122.0 289.2 137.6 131.0 219.5 253.2 126.7 124.1 171.6 138.9 122.5 289.2 137.6 131.0 216.5 253.3 126.7 122.7 171.6 140.1 123.2 289.2 139.7 131.0 218.6 252.5 126.5 123.0 174.7 145.1 123.2 293.8 144.9 131.0 218.0 254.2 126.5 123.0 174.8 148.8 123.2 297.4 144.9 131.0 216.9 254.9 126.5 123.1 175.0 148.8 123.2 295.5 147.2 131.0 216.9 '255.2 '126.5 122.9 '175.0 '148.8 '122.2 295.5 '145.7 131.0 '218.8 253.7 123.7 122.9 177.2 148.5 121.0 295.5 146.5 131.0 216.8 254.1 123.7 123.1 179.4 148.5 121.0 294.5 143.8 131.0 219.7 252.9 123.6 123.7 179.4 148.4 119.4 294.5 143.8 131.0 221.6 253.1 123.8 123.6 179.4 148.4 120.3 288.2 143.8 131.0 217.5 2436 2439 2448 2451 2492 2511 2512 2515 2521 2611 Softwood veneer and plywood (12/75 - 100)................ Structural wood members, n.e.c. (12/75 = 100) ............ Wood pallets and skids (12/75 = 100).......................... Mobile homes (12/74 - 100)........................................ Particleboard (12/75 = 100) ........................................ Wood household furniture (12/71 =100) ...................... Upholstered household furniture (12/71 = 100).............. Mattresses and bedsprings............................................ Wood office furniture .................................................... Pulp mills (12/73 = 100).............................................. 142.0 156.6 152.5 156.9 173.6 197.4 174.0 192.3 254.2 252.4 139.6 156.9 152.9 158.3 173.6 199.2 175.1 194.6 254.7 251.3 135.4 156.6 152.8 158.7 170.5 200.1 175.3 195.2 257.1 251.3 129.3 154.8 152.0 159.2 168.0 201.0 175.6 195.2 257.1 255.0 129.0 154.2 150.4 159.3 166.9 202.0 179.5 197.5 257.0 262.5 134.5 153.2 149.9 160.3 170.3 202.8 182.1 198.0 257.6 262.5 132.5 153.9 149.8 160.4 172.6 203.6 184.4 204.4 261.9 258.6 130.5 153.5 149.0 160.5 170.7 204.3 179.3 205.6 270.7 258.6 131.8 152.6 148.2 162.7 177.7 205.1 179.3 205.6 270.8 260.7 '129.1 '153.4 '145.9 '163.0 '178.2 '207.4 '181.8 '205.7 '270.8 '253.6 126.0 151.5 144.6 163.1 176.7 207.3 185.1 210.3 271.9 254.8 133.3 152.9 144.2 163.4 176.9 207.6 185.1 210.3 271.9 246.5 129.6 154.5 144.1 163.4 175.4 208.1 184.1 210.1 272.0 238.5 126.7 155.1 143.8 163.4 174.5 208.0 185.5 210.4 272.4 237.2 2621 2631 2647 2654 2655 2812 2821 2822 2824 2873 Paper mills, except building (12/74 - 100).................... Paperboard mills (12/74 = 100) .................................. Sanitary paper products................................................ Sanitary food containers .............................................. Fiber cans, drums, and similar products (12/75 = 100) .. Alkalies and chlorine (12/73 = 100).............................. Plastics materials and resins (6/76 = 100).................... Synthetic rubber .......................................................... Organic fiber, noncellulosic............................................ Nitrogenous fertilizers (12/75 = 100)............................ 156.2 151.7 343.4 244.8 163.0 305.9 150.8 293.3 155.6 142.8 157.4 152.4 344.3 252.9 163.2 310.4 155.6 299.4 160.3 143.9 158.8 153.7 344.3 253.2 163.2 316.0 156.0 299.3 160.6 142.1 159.8 153.6 344.0 253.4 167.6 317.7 156.3 301.0 164.2 142.9 159.7 153.5 344.1 253.3 167.6 317.0 153.7 301.4 162.5 144.2 159.6 152.7 344.6 253.3 170.0 324.8 154.3 302.7 161.9 142.9 162.0 152.5 344.6 254.0 176.4 329.4 150.7 303.9 161.8 142.4 162.0 153.4 344.6 256.9 176.5 335.2 152.6 306.1 162.9 142.6 162.0 153.0 344.5 260.0 176.5 335.6 151.0 306.7 161.6 142.2 '161.3 '152.8 '344.5 '259.9 176.5 '322.0 '152.6 306.6 '162.5 '141.7 160.5 151.5 344.7 261.4 176.7 338.2 151.9 307.1 161.7 141.1 160.8 150.0 347.3 261.4 176.7 338.2 150.7 303.8 161.3 139.5 160.7 149.1 346.4 261.4 176.7 324.4 150.2 301.8 160.5 136.1 159.9 149.4 349.2 261.4 177.5 325.8 150.8 299.9 159.5 136.0 2874 2875 2892 2911 2951 2952 3011 Phosphatic fertilizers .................................................... Fertilizers, mixing only .................................................. Explosives .................................................................. Petroleum refining (6/76 - 100) .................................. Paving mixtures and blocks (12/75 - 100).................... Asphalt felts and coatings (12/75 = 100)...................... Tires and inner tubes (12/73 - 100) ............................ 254.1 270.7 311.9 294.4 194.3 176.9 215.8 260.0 273.0 319.8 297.5 196.3 182.3 215.5 259.4 ¿72.0 316.5 295.8 196.0 174.3 220.6 259.4 273.8 318.7 294.6 196.3 174.9 221.0 258.5 273.7 316.5 293.3 196.4 178.1 220.1 259.0 270.5 315.6 293.1 196.0 176.1 221.2 261.0 274.3 314.9 293.0 197.0 174.2 222.0 263.5 276.8 317.6 289.1 198.0 173.8 222.4 261.6 278.4 320.5 281.7 198.1 171.2 220.3 '258.2 '278.7 '327.2 '267.4 197.1 '168.1 '216.7 256.2 278.5 321.4 259.2 196.6 167.7 221.2 257.6 278.8 319.6 267.7 195.1 169.8 221.5 256.6 278.6 318.4 281.4 194.8 171.3 221.7 248.7 277.9 324.8 283.7 194.4 171.1 226.2 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 85 M ONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Producer Prices 25. Continued— Producer Price Indexes for the output of selected SIC industries [1967=100 unless otherwise specified] 1972 SIC code Industry description Annua average 1981 Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr.1 May June July Aug. 1981 1982 3021 3031 3079 3111 3143 3144 3171 3211 3221 Rubber and plastic footwear (12/71 = 1 0 0 ) .................. Reclaimed rubber (12/73 =100) ................ Miscellaneous plastic products (6/78 = 100) . . . . Leather tanning and finishing (12/77 = 100)........ Men's footwear, except athletic (12/75 = 100) . . . , Women's footwear, except athletic........................ Women’s handbags and purses (12/75 = 100) . . . . Flat glass (12/71 =100) ........................ Glass containers.................................... 184.4 194.1 128.9 150.7 169.3 217.1 155.5 175.3 328.6 185.4 200.3 130.2 148.5 171.4 217.8 158.4 180.0 335.4 185.3 200.3 130.3 148.3 170.9 218.2 158.4 180.0 335.4 185.0 200.3 130.8 148.2 170.5 212.5 158.4 180.1 335.4 185.0 200.3 130.8 146.8 170.6 212.7 158.4 180.1 335.4 185.2 200.3 131.0 147.5 171.3 212.4 158.4 177.4 335.4 186.1 200.3 131.1 150.8 173.1 208.5 158.4 177.5 335.3 188.4 200.4 131.6 149.3 172.2 209.8 158.4 177.5 352.1 189.1 207.2 132.8 147.9 173.5 210.3 158.4 177.5 355.8 189.0 r 209.2 r 133.2 r 146.8 174.9 '217.0 158.4 177.5 '358.0 186.7 207.2 132.7 147.3 175.1 213.4 158.4 177.5 357.3 187.0 208.4 132.9 146.9 175.2 215.2 158.4 177.5 357.3 187.0 207.7 132.6 147.5 171.6 216.3 158.5 187.7 357.3 186.8 207.4 132.7 146.5 175.5 220.6 157.8 187.7 357.2 3241 3251 3253 3255 3259 3261 3262 3263 3269 3271 Cement, hydraulic...................................... Brick and structural clay tile ........................................ Ceramic wall and floor tile (12/75 = 100) ................ Clay refractories.................................... Structural clay products, n.e.c.................................. Vitreous plumbing fixtures ................................ Vitreous china food utensils............................ Fine earthenware food utensils.................... Pottery products, n.e.c. (12/75 = 100) . . . . Concrete block and brick.......................... 329.6 296.5 133.4 310.2 222.6 254.9 335.0 309.1 160.1 270.4 331.6 298.9 132.1 312.3 223.9 259.6 336.6 309.6 160.7 274.0 332.0 299.9 140.4 312.5 227.5 259.0 336.8 313.8 161.8 274.2 330.3 299.9 140.4 313.9 231.7 259.0 336.8 313.8 161.8 274.3 330.3 300.5 140.4 315.2 231.7 259.3 344.7 315.0 163.7 274.2 330.3 300.5 140.4 319.9 236.6 260.1 344.7 315.0 163.7 275.1 339.6 298.9 140.4 329.6 225.6 261.1 347.7 315.1 164.3 274.9 341.5 299.4 140.4 354.4 226.0 260.6 347.7 315.1 164.3 276.4 341.5 299.4 140.4 355.6 225.9 260.8 347.3 315.0 164.2 276.4 '341.1 '303.4 '140.6 '355.2 '215.9 '261.8 '346.5 '314.9 '164.0 '276.5 338.6 '305.8 138.0 357.2 216.4 265.4 345.2 314.1 163.6 276.6 338.7 306.4 138.0 357.1 216.5 265.5 349.8 314.8 164.8 277.0 337.8 307.2 138.0 357.2 216.4 264.2 349.8 314.8 164.7 277.1 336.0 307.2 138.0 357.7 216.5 263.9 349.8 314.8 164.7 277.4 3273 3274 3275 3291 3297 3312 3313 3316 3317 3321 Ready-mixed concrete.................................. Lime (12/75 = 100) .............................. Gypsum products .............................. Abrasive products (12/71 = 100) ............................ Nonclay refractories (12/74 = 100).................. Blast furnaces and steel mills .................... Electrometallurgical products (12/75 = 100) . . . . Cold finishing of steel shapes.................. Steel pipes and tubes .................................. Gray iron foundries (12/68 = 100)............ 298.7 172.5 256.9 232.9 185.3 342.8 121.8 316.2 341.5 299.7 300.0 173.9 258.9 235.1 189.7 350.0 121.5 325.7 350.6 299.9 299.2 173.7 252.9 237.3 189.7 350.3 121.4 326.2 350.5 302.0 299.5 173.7 251.5 237.6 189.7 353.1 125.4 326.4 362.0 303.3 299.4 173.5 252.5 241.0 190.2 353.0 125.4 326.4 362.3 305.2 299.6 173.8 250.6 241.0 190.3 353.3 125.3 326.7 363.0 306.1 301.9 178.8 250.9 241.3 191.2 354.7 125.3 327.0 363.7 307.9 301.9 183.7 253.9 248.3 198.3 354.4 123.4 327.0 364.1 310.0 302.5 185.7 260.5 249.8 200.4 354.4 120.3 327.0 365.8 311.5 '303.9 '186.3 '262.5 '250.2 '202.3 356.1 120.3 '327.1 '365.9 '311.9 303.9 188.1 258.8 251.2 203.2 355.9 120.3 327.8 365.8 311.4 304.7 188.4 256.2 252.1 203.9 353.6 120.4 325.6 365.7 311.6 305.4 188.1 256.5 252.0 203.8 3529 120.4 325.2 364.0 311.3 304.8 188.3 254.3 252.3 203.8 352.8 121.4 325.6 361.6 311.3 3333 3334 3351 3353 3354 3355 3411 3425 3431 3465 Primary zin c .................................... Primary aluminum........................ Copper rolling and drawing ...................................... Aluminum sheet, plate, and foil (12/75 = 100) ............ Aluminum extruded products (12/75 = 100)................ Aluminum rolling, drawing, n.e.c. (12/75 = 100) . . . Metal cans................................ Fland saws and saw blades (12/72 = 100) .. Metal sanitary ware.............................. Automotive stampings (12/75 = 100) .............. 326.3 333.1 212.3 175.8 180.1 159.1 305.1 201.4 265.5 146.0 353.8 334.4 212.9 177.4 181.3 157.2 306.7 204.2 269.7 146.4 355.9 333.6 214.1 178.0 181.2 157.7 306.8 204.6 270.2 146.9 337.0 333.5 212.3 179.9 181.3 163.0 307.0 204.8 270.3 147.4 337.5 332.5 209.2 180.2 181.4 166.2 306.0 205.0 271.6 149.7 315.7 332.8 207.1 180.8 181.1 166.1 304.9 206.0 271.8 149.1 308.6 324.1 204.8 181.8 180.8 166.1 310.8 211.6 271.3 150.1 311.2 320.2 203.9 181.7 180.8 166.5 314.0 214.8 272.8 144.7 292.0 320.8 198.4 181.2 180.5 166.3 313.6 214.9 275.1 144.2 '273.4 '312.4 '196.4 '179.9 '180.2 162.9 '318.6 '215.3 275.8 '144.3 259.9 313.8 197.5 178.7 180.2 163.0 320.4 220.8 275.7 153.0 259.7 308.4 189.8 178.0 180.1 165.4 319.3 220.9 276.0 153.0 266.4 305.7 189.2 178.2 179.5 164.7 318.6 221.0 276.1 153.0 277.0 308.0 190.1 177.1 178.9 164.5 318.0 221.2 276.9 153.3 3482 3493 3494 3498 3519 3531 3532 3533 3534 3542 Small arms ammunition (12/75 = 100) ............ Steel springs, except wire .................... Valves and pipe fittings (12/71 = 1 0 0 )............ Fabricated pipe and fittings ........................ Internal combustion engines, n.e.c....................... Construction machinery (12/76 = 100) ........ Mining machinery (12/72 = 100).................... Oilfield machinery and equipment............ Elevators and moving stairways...................... Machine tools, metal forming types (12/71 =100) 159.0 245.9 248.9 361.3 311.9 156.8 282.5 395.8 253.9 306.9 159.9 248.9 251.0 370.0 314.2 159.5 285.3 406.5 252.8 309.5 159.9 252.4 252.7 375.1 322.1 160.1 286.9 411.3 254.6 312.0 159.9 253.9 252.9 377.7 323.2 161.0 288.5 415.6 257.0 311.7 159.9 254.1 253.5 378.6 326.4 161.6 290.8 418.2 260.7 312.3 163.9 256.1 255.7 379.3 325.4 159.7 292.9 420.3 265.6 319.3 167.5 255.8 257.7 378.6 329.4 162.5 295.5 427.2 264.3 319.7 167.5 257.4 258.9 377.7 332.0 162.4 297.8 429.2 269.8 322.8 167.5 256.4 259.1 379.8 332.6 163.3 300.9 435.8 271.6 324.5 '166.3 '254.3 '260.3 385.5 '334.2 '164.3 '302.4 '439.3 '271.8 '325.2 171.9 255.3 259.2 385.4 337.0 165.2 302.7 435.8 271.6 325.6 175.9 255.2 259.0 385.4 337.7 165.3 303.5 437.8 273.5 326.5 175.9 253.1 260.1 383.8 339.6 166.5 304.0 438.4 275.5 333.6 175.9 253.5 260.1 385.6 343.8 166.7 303.4 439.6 275.5 333.6 3546 3552 3553 3576 3592 3612 3623 3631 3632 3633 Power driven hand tools (12/76 = 100) Textile machinery (12/69 = 100) . . Woodworking machinery (12/72 = 100) . . . . Scales and balances, excluding laboratory .. Carburetors, pistons, rings, valves (6/76 = 100) Transformers .............................. Welding apparatus, electric (12/72 = 100).............. Household cooking equipment (12/75 = 100)........ Household refrigerators, freezers (6/76 = 100) Household laundry equipment (12/73 = 100) .. . 147.3 243.5 225.0 226.2 178.0 209.9 227.5 141.2 132.8 174.3 148.4 245.4 225.4 226.6 181.3 212.8 229.6 141.5 135.5 174.6 148.6 248.2 228.9 226.1 182.1 214.5 231.6 141.6 136.4 177.2 149.5 248.0 228.9 226.2 185.4 217.3 232.5 141.6 137.8 177.0 149.5 247.9 229.1 226.3 187.2 222.0 233.2 141.9 137.9 178.4 150.0 249.9 229.1 226.5 187.3 222.0 235.8 142.6 137.9 178.8 153.3 252.3 233.7 228.3 185.3 220.5 236.8 146.0 140.1 180.1 153.2 253.5 232.9 228.8 189.6 222.2 236.9 146.8 141.1 180.5 153.9 255.0 233.4 229.8 190.4 222.4 232.3 147.2 142.3 186.2 '154.7 256.2 '234.7 229.6 '192.8 '223.3 '237.6 146.2 142.5 186.9 156.1 256.5 234.7 229.5 195.2 224.7 232.9 146.8 143.2 188.6 156.4 258.1 234.4 230.6 195.7 224.8 233.1 146 9 144.3 189.0 157.4 259.8 230.0 231.9 196.6 224.7 236.9 148 2 145.5 189.1 157 5 258 9 2306 231.9 197.2 226 0 237.5 1504 145.9 189.7 3635 3636 3641 3644 3646 3648 3671 3674 3675 3676 Household vacuum cleaners .................. Sewing machines (12/75 = 100)................ Electric lamps............................ Noncurrent-carrying wiring devices (12/72 = 100) Commercial lighting fixtures (12/75 = 100) Lighting equipment, n.e.c. (12/75 = 100) . . . Electron tubes receiving type ................ Semiconductors and related devices ........ Electronic capacitors (12/75 = 100) . . . . Electronic resistors (12/75 = 100) . . . 159.1 146.8 277.3 249.6 154.8 155.9 309.7 '90.9 170.3 141.4 158.8 153.8 280.0 253.8 155.5 161.3 327.5 89.2 178.8 142.5 158.8 153.8 283.1 258.5 157.6 161.7 327.5 91.4 172.4 142.7 161.3 156.0 285.9 258.7 158.9 162.0 327.5 91.6 171.5 142.7 161.0 156.0 284.8 262.1 159.3 162.4 327.8 92.0 168.1 143.0 160.8 156.0 281.3 262.1 159.2 163.1 342.2 91.7 166.6 142.8 165.6 156.0 282.1 257.9 159.2 162.8 374.1 90.9 167.4 143.7 165.2 155.8 286.1 259.0 161.1 167.8 374.2 90.2 169.7 144.0 165.7 '165.4 155.8 '154.3 283.6 '296.6 258.1 '260.0 162.4 '163.5 168.8 '170.9 374.4 '374.5 90.0 '89.5 168.4 '167.6 143.4 '144.4 158.3 153.7 294.5 263.0 167.5 170.4 375.0 89.6 166.6 145.2 158.4 153.7 293.9 261.1 167.2 170.9 375.1 89.7 1668 144.9 158.4 153.7 291.9 260.7 166.5 171.1 376.0 90.8 166.7 144.4 159.4 153.0 291.9 260.3 165.9 171.2 376 0 90 5 166.2 144.6 3678 3692 3711 3942 3944 3955 3995 3996 Electronic connectors (12/75 = 100) . . . Primary batteries, dry and w e t.................. Motor vehicles and car bodies (12/75 = 100).. Dolls (12/75 = 100).................. Games, toys, and children’s vehicles .............. Carbon paper and inked ribbons (12/75 = 100) . . . . Burial caskets (6/76 = 100) ................................ Hard surface floor coverings (12/75 = 100) 154.9 182.2 150.3 131.3 221.3 138.5 139.5 151.8 155.8 182.7 150.1 130.9 222.0 140.6 140.6 153.6 156.5 182.7 143.4 130.9 222.2 140.6 143.4 153.7 156.8 182.7 158.6 130.9 222.2 140.2 143.4 153.7 155.8 182.7 158.7 1309 222.6 140.2 143.4 153.7 155.8 182.7 159.1 130.9 223.9 140.3 142.7 153.7 155.9 182.0 159.8 135.5 228.4 140.3 142.7 155.1 156.2 184.3 155.0 136.6 232.5 140.3 143.8 155.2 156.7 190.5 154.9 136.6 234.1 140.3 145.3 156.1 158.1 194.9 156.7 136.5 231.7 140.5 149.3 156.3 158.3 195.8 159.6 136.5 231.7 140.6 149.3 154.3 157.6 196.3 159.7 136.5 231.8 140.5 150.8 155.0 160 9 196 3 160.3 136.5 231 8 140.5 150.8 155.7 . 1Data for April 1982 have been revised to reflect the availability of late reports and corrections by respondents. All data are subject to revision 4 months after original publication. Digitized 86 for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 2 Not available, r=revised. '156.4 '195.5 '154.9 '136.8 '234.1 140.3 145.3 156.1 PRODUCTIVITY DATA P roductivity data are compiled by the Bureau of Labor Statistics from establishment data and from estimates of com pensation and output supplied by the U.S. Department of Commerce and the Federal Reserve Board. Definitions O utput is the constant dollar gross domestic product produced in a given period. Indexes of output per hour of labor input, or labor pro ductivity, measure the value of goods and services produced per hour of labor. C om pensation per hour includes wages and salaries of em ployees plus employers’ contributions for social insurance and private benefit plans. The data also include an estimate of wages, salaries, and supplementary payments for the self-employed, except for nonfinancial corporations, in which there are no self-employed. R eal com pensation per hour is compensation per hour adjusted by the Consumer Price Index for All Urban Consumers. U n it labor co st measures the labor compensation cost required to produce one unit of output and is derived by dividing compensation by output. U n it nonlabor paym ents include profits, depreciation, in terest, and indirect taxes per unit of output. They are computed by subtracting compensation of all persons from the current dollar gross domestic product and dividing by output. In these tables, unit nonlabor co sts contain all the components of unit nonlabor payments except unit profits. U n it profits include corporate profits and invento ry valuation adjustments per unit of output. The im plicit price d eflator is derived by dividing the current dollar estimate of gross product by the constant dollar estimate, making the deflator, in effect, a price index for gross product of the sector reported. 26. The use of the term “man hours” to identify the labor component of productivity and costs, in tables 26 through 29, has been discontin ued. H ou rs of all persons is now used to describe the labor input of payroll workers, self-employed persons, and unpaid family workers. O utput per all-em p loyee hour is now used to describe labor productiv ity in nonfinancial corporations where there are no self-employed. Notes on the data In the business sector and the nonfarm business sector, the basis for the output measure employed in the computation of output per hour is Gross Domestic Product rather than Gross National Product. Computation of hours includes estimates of nonfarm and farm propri etor hours. Output data are supplied by the Bureau of Economic Analysis, U.S. Department of Commerce, and the Federal Reserve Board. Quarterly manufacturing output indexes are adjusted by the Bureau of Labor Statistics to annual estimates of output (gross product originating) from the Bureau of Economic Analysis. Compensation and hours data are from the Bureau of Economic Analysis and the Bureau of Labor Statistics. Beginning with the September 1982 issue of the Review, all of the productivity and cost measures contained in these tables are based on revised output and compensation measures released by the Bureau of Economic Analysis in July as part of the regular revision cycle of the National Income and Product Accounts. Measures of labor input have been revised to reflect results of the 1980 census, and seasonal factors have been recomputed for use in the preparation of quarterly measures. The word “private” is no longer being used as part of the series title of one of the two business sector measures prepared by BLS; no change has been made in the definition or content of the measures as a result of this change. Annual indexes of productivity, hourly compensation, unit costs, and prices, selected years, 1950-81 [1977=100] Item Business sector: Output per hour of all persons . Compensation per hour ............ Real compensation per hour Unit labor c o st.......................... Unit norilabor payments ............ Implicit price deflator .............. Nonfarm business sector: Output per hour of all persons . Compensation per hour .......... Real compensation per hour . . . Unit labor co s t........................ Unit nonlabor payments .......... Implicit price deflator .............. Nonfinancial corporations: Output per hour of all employees Compensation per hour .......... Real compensation per hour . . . Unit labor c o s t........................ Unit nonlabor payments .......... Implicit price deflator .............. Manufacturing: Output per hour of all persons . Compensation per hour .......... Real compensation per hour . . . Unit labor c o st........................ Unit nonlabor payments .......... Implicit price deflator .............. 1Not available. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 1950 1955 1960 1965 1970 1974 1975 1976 1977 1978 1979 1980 1981 50.4 20.0 50.5 39.7 43.4 41.0 58.3 26.4 59.6 45.2 47.6 46.0 65.2 33.9 69.5 52.0 50.6 51.6 78.3 41.7 80.1 53.3 57.6 54.7 86.2 58.2 90.8 67.5 63.2 66.0 r 92.5 78.0 95.9 r84.4 r78.5 '82.4 r 94.5 85.5 96.3 r90.5 '90.4 r90.5 97.6 92.9 98.9 95.1 94.0 94.7 100.0 100.0 100.0 100.0 100.0 100.0 100.6 108.6 100.9 108.0 106.7 107.5 99.6 119.1 99.4 119.5 112.8 117.2 98.9 13114 96.7 132.9 119.3 128.3 100.7 144.1 96.0 143.1 135.2 r 140.4 56.3 21.8 55.0 38.8 42.7 40.1 62.8 28.3 64.0 45.0 47.8 46.0 68.3 35.7 73.0 52.2 50.4 51.6 80.5 42.8 82.2 53.2 58.0 54.8 86.8 58.7 91.5 67.6 63.7 66.3 r 92.9 78.5 96.4 r 84.5 r75.8 r 81.6 r94.7 86.0 96.8 r90.8 r 88.5 r90.0 97.8 93.0 99.0 95.1 93.5 94.6 100.0 100.0 100.0 100.0 100.0 100.0 100.6 108.6 100.9 108.0 105.3 107.1 99.3 118.8 99.2 119.6 110.3 116.5 98.5 130.9 96.3 133.0 119.1 128.3 99.9 143.6 95.7 143.8 134.8 140.8 ( ') (’ ) (’ ) (’ ) (') (') ( ') (’ ) ( 1) 66.6 36.2 74.2 54.4 54.6 54.5 80.2 43.0 82.5 53.5 60.8 56.1 85.7 58.3 90.9 68.0 63.1 66.3 91.7 77.6 95.4 84.7 75.6 81.6 94.8 85.5 96.2 90.2 90.8 90.4 97.8 92.5 98.5 94.6 95.0 94.7 100.0 100.0 100.0 100.0 100.0 100.0 101.0 108.6 100.8 107.5 104.2 106.4 101.2 119.2 99.5 117.8 106.9 114.1 100.8 131.6 96.8 130.5 117.7 126.1 102.7 144.4 96.2 140.6 134.8 138.6 49.4 21.5 54.0 43.4 54.3 46.6 56.4 28.8 65.1 51.0 58.5 53.2 60.0 36.7 75.1 61.1 61.1 61.1 74.5 42.8 82.3 57.5 69.3 61.0 79.1 57.6 89.8 72.7 65.0 70.5 90.8 76.3 93.8 84.1 69.3 79.8 93.4 85.4 96.2 91.5 87.3 90.3 97.5 92.3 98.3 94.6 93.7 94.4 100.0 100.0 100.0 100.0 100.0 100.0 100.9 108.3 100.6 107.4 102.5 106.0 101.5 118.9 99.2 117.1 99.9 112.0 101.7 132.8 97.7 130.6 97.1 120.8 104.5 146.4 97.5 140.0 108.8 130.8 (’) (’ ) ( 1) r = revised. 87 MONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Productivity 27. Annual changes in productivity, hourly compensation, unit costs, and prices, 1971-81 Business sector: Output per hour of all persons...................... Compensation per h o u r................................ Real compensation per hour.................... Unit labor cost.................................. Unit nonlabor payments............................ Implicit price deflator .................................. Nonfarm business sector: Output per hour of all persons ............................ Compensation per hour ...................................... Real compensation per hour................................ Unit labor cost...................... Unit nonlabor payments.................... Implicit price deflator ............................ Nonfinancial corporations: Output per hour of all employees........................ Compensation per hour ...................... Real compensation per hour................ Unit labor cost.......................... Unit nonlabor payments...................................... Implicit price deflator .......................................... Manufacturing: Output per hour of all persons ............................ Compensation per ho u r................................ Real compensation per hour.................... Unit labor cost...................... Unit nonlabor payments................ Implicit price deflator ...................... 1971 1972 1973 1974 3.6 6.6 2.2 2.9 7.6 4.4 3.5 6.5 3.1 2.9 4.5 3.4 -'2 .6 8.0 1.6 '5.3 '5.9 r5.5 3.3 6.6 2.2 3.2 7.4 4.5 3.7 6.7 3.3 2.9 3.2 3.0 4.8 6.5 2.1 1.6 7.4 3.5 6.1 6.1 1.8 0.0 11.2 3.1 1975 1976 1977 1978 1979 1980 1981 1950-81 1960-81 ' -2.4 9.4 -1.4 r 12.1 r4.4 '9.5 2.2 9.6 0.5 7.3 15.1 9.8 r 3.3 8.6 2.6 '5.1 r4.0 r4.7 2.4 7.7 1.2 5.1 6.4 5.6 0.6 8.6 0.9 8.0 6.7 7.5 -0.9 9.7 -1.4 10.7 5.7 9.0 -0.7 10.4 -2.8 11.2 5.8 9.4 1.8 9.6 -0.7 7.7 13.3 9.5 r2.5 6.2 '2.4 3.6 '3.5 '3.6 2.1 r7.3 r 1.8 5.0 r4.7 4.9 r2.4 7.6 1.3 '5.0 r 1.3 r3.8 ' -2.5 9.4 -1.4 '12.2 r5.9 r 10.2 '2.0 9.6 0.4 7.5 r 16.7 r 10.3 r 3.2 8.1 2.2 r4.7 '5.7 '5.0 2.2 7.5 1.0 5.2 6.9 5.7 0.6 8.6 0.9 8.0 5.3 7.1 -1.3 9.3 -1.7 10.7 4.7 8.8 -0.9 10.2 -2.9 11.2 8.0 10.2 1.4 9.7 -0.7 8.1 13.1 9.7 '2.2 5.9 r2.1 r3.6 r3.5 3.6 r 1.9 7.0 1.5 5.0 r4.6 4.9 3.0 5.8 2.5 2.8 2.7 2.8 2.6 7.7 1.4 4.9 1.5 3.8 -3.4 9.7 -1.1 13.6 7.1 11.4 3.4 10.1 0.9 6.5 20.1 10.9 3.2 8.2 2.3 4.9 4.6 4.8 2.3 8.1 1.6 5.7 5.3 5.6 1.0 8.6 0.8 7.5 4.2 6.4 0.2 9.8 -1.3 9.6 2.6 7.2 -0.3 10.4 -2.8 10.7 10.1 10.5 1.8 9.7 -0.6 7.8 14.6 10.0 ( 1) O C) 2.0 6.9 1.4 4.8 4.0 4.5 5.0 5.4 2.0 0.3 0.8 0.5 5.4 7.2 0.9 1.7 -3.3 0.3 -2.4 10.6 -0.3 13.3 -1.8 9.0 2.9 11.9 2.5 8.8 25.9 13.1 4.4 8.0 2.1 3.4 7.4 4.6 2.5 8.3 1.8 5.7 6.7 6.0 0.9 8.3 0.6 7.4 2.5 6.0 0.7 9.7 -1.4 9.0 -2.6 5.7 0.2 11.8 -1.6 11.6 -2.7 7.8 2.8 10.2 -0.2 7.2 12.0 8.4 2.6 5.8 2.0 3.1 '2.1 2.8 1Not available. 28. Annual rate of change Year Item C) (M (’ ) r2.7 6.9 1.4 4.1 r2.7 r3.7 r = revised. Quarterly indexes of productivity, hourly compensation, unit costs, and prices, seasonally adjusted [1977=100] Item Business sector: Output per hour of all persons ............................ Compensation per ho u r................ Real compensation per hour............................ Unit labor cost.................... Unit nonlabor payments........................ Implicit price deflator.............................. Nonfarm business sector: Output per hour of all persons............................ Compensation per hour ........................ Real compensation per hour...................... Unit labor cost.................. Unit nonlabor payments...................... Implicit price deflator.................... Nonfinancial corporations: Output per hour of all employees.......... Compensation per hour ...................... Real compensation per hour.............. Total unit costs...................... Unit labor cost .......................... Unit nonlabor costs............ Unit profits ................................ Implicit price deflator .............................. Manufacturing: Output per hour of all persons ........................ Compensation per ho u r.................. Real compensation per hour................ Unit labor cost.......................... 1Not available. r = revised. 88 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Annual average Quarterly indexes 1979 1980 1980 1981 IV 1 98.9 131.4 96.7 132.9 119.3 128.3 100.7 144.1 96.0 143.1 135.2 140.4 99.1 123.0 97.8 124.1 113.2 120.4 99.3 126.7 97.0 127.6 116.0 123.7 98.5 130.9 96.3 133.0 119.1 128.3 99.9 143.6 95.7 143.8 134.8 140.8 98.8 122.7 97.6 124.1 111.3 119.8 100.8 131.6 96.8 131.0 130.5 132.5 87.9 126.1 102.7 144.4 962 143.4 140.6 151.4 101.6 138.6 101.7 132.8 97.7 130.6 104.5 146.4 97.5 140.0 II 1981 1982 III IV 1 II III IV I 98.2 130.0 96.4 r 132.3 116.2 126.9 98.9 133.1 96.9 134.7 120.6 129.9 99.3 136.1 96.2 137.0 124.6 132.8 100.7 140.0 96.2 139.0 131.8 136.5 100.7 142.5 96.4 141.5 133.4 138.8 101.0 145.6 95.7 144.2 137.4 141.9 100.2 148.2 95.6 147.9 138.3 144.6 100.0 150.9 96.5 150.9 136.4 146 0 r 100.3 153.4 97.1 r 153.0 '137.3 r 147 7 98.7 126.2 96.6 127.8 115.2 123.6 97.6 129.3 96.0 132.5 116.7 127.2 98.4 132.6 96.5 134.7 120.3 129.9 99.2 135.7 95.9 136.8 124.4 132.7 100.4 139.5 96.0 139.0 131.5 136.5 100.0 142.0 96.0 141.9 132.8 138.9 100.0 145.1 95.4 145.1 136.7 142.3 99.1 147.7 95.3 149.0 138.4 145.5 99.2 150.4 96.3 151.6 136.7 146 6 r 99 3 r 152 6 966 r 153 7 '137.4 r 14ÌL2 100.6 123.1 97.9 121.4 122.4 118.7 84.1 117.1 100.8 126.8 97.0 125.0 125.8 122.7 91.1 121.1 99.8 130.0 96.4 130.4 130.2 131.0 81.9 124.8 101.1 133.4 97.1 132.9 131.9 135.7 87.8 127.7 101.7 136.3 96.3 135.8 134.1 140.7 90.5 130.6 102.8 140.4 96.5 138.3 136.5 143.4 104.7 134.5 102.7 142.7 96.5 141.7 138.9 149.6 98.8 136.8 102.8 145.7 95.8 144.7 141.7 153.1 105.2 140.2 102.2 148.6 95.9 149.1 145.4 159.6 97.6 143.2 102.3 151.7 97.1 151.8 148.3 161.8 86.1 144.3 p 102 9 p 154 1 p97 5 p 154 0 p 149 7 p 166.2 p82 4 p 145.8 101.9 122.6 97.4 120.3 102.6 127.1 97.3 123.9 100.4 130.9 97.1 130.3 100.3 135.2 98.5 134.9 103.6 138.4 97.8 133.6 105.2 142.6 98.0 135.5 105.0 144.9 97.9 138.0 105.0 147.3 96.8 140.3 102.8 150.7 97.2 146.6 1021 154 7 99.0 151.5 r 102 2 r 157 6 99 7 '154.3 p _ preliminary, II 29. Percent change from preceding quarter and year in productivity, hourly compensation, unit costs, and prices, seasonally adjusted at annual rate [1977 = 100] Quarterly percent change at annual rate Item Business sector: Output per hour of all persons .................... Compensation per hour .............................. Real compensation per hour........................ Unit labor costs .......................................... Unit nonlabor payments .............................. Implicit price deflator .................................. Nonfarm business sector: Output per hour of all persons .................... Compensation per hour .............................. Real compensation per hour........................ Unit labor costs .......................................... Unit nonlabor payments .............................. Implicit price deflator .................................. Nonfinancial corporations: Output per hour of all employees ................ Compensation per hour .............................. Real compensation per hour........................ Total unit costs .......................................... Unit labor costs ...................................... Unit nonlabor costs.................................. Unit profits.................................................. Implicit price deflator .................................. Manufacturing: Output per hour of all persons .................... Compensation per hour .............................. Real compensation per hour........................ Unit labor costs .......................................... 1Not available. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis IV 1980 to I 1981 I 1981 to II 1981 Percent change from same quarter a year ago II 1981 to III 1981 III 1981 to IV 1981 IV 1981 to I 1982 11982 to II 1982 11980 to I 1981 II 1980 to II 1981 III 1980 to III 1981 IV 1980 to IV 1981 1 1981 to 11982 1.1 9.0 -2.6 7.8 12.5 9.3 -2.9 7.4 -0.4 10.6 2.9 8.0 -1.0 7.3 3.9 8.4 -5.4 3.8 '1.2 '6.9 r2.2 r5.6 '2.7 r4.7 1.4 10.5 -0.7 8.9 13.7 10.4 2.5 9.7 -0.1 6.9 14.8 9.4 2.2 9.4 -1.3 7.1 13.9 9.2 0.9 8.9 -0.6 7.9 11.0 8.9 -0.7 7.8 0.3 8.6 3.5 6.9 ' -0.4 '7.6 '0.7 '8.1 '3.0 '6.4 II 1981 to II 1982 5.6 11.7 0.2 5.7 25.0 11.6 0.0 7.5 0.5 7.5 4.9 6.6 4.9 11.8 0.4 6.6 24.9 12.1 -1.3 7.1 0.1 8.6 4.0 7.1 -0.3 9.0 -2.6 9.3 12.1 10.2 -3.5 7.3 -0.5 11.2 5.1 9.2 0.6 7.7 4.3 7.1 -4.6 3.3 r0.5 r6.0 r 1.4 r5.5 r2.0 r4.4 1.7 10.6 -0.6 8.8 14.1 10.4 2.5 9.8 0.0 7.1 13.8 9.2 1.6 9.4 -1.2 7.7 13.6 9.6 -0.1 8.8 -0.6 8.9 11.2 9.6 -1.1 7.8 0.3 9.0 4.0 7.4 ' -0.7 7.5 '0.6 '8.3 '3.5 '6.7 4.7 12.4 0.9 7.5 7.4 8.0 79.5 12.3 -0.4 6.9 -0.1 10.2 7.3 18.5 -20.8 7.1 0.3 8.5 -3.0 8.6 8.2 9.8 28.4 10.2 -2.3 8.3 0.5 12.8 10.9 17.8 -25.9 8.9 0.5 8.6 5.2 7.4 8.1 5.7 -39.4 3.0 p2.3 »6.4 p 1.7 p6.0 p4.0 »11.4 p -16.0 p4.4 2.1 10.7 -0.5 10.6 8.5 16.9 14.9 11.0 2.9 9.8 0.1 8.7 6.7 14.2 20.7 9.6 1.7 9.2 -1.4 8.9 7.5 12.9 19.7 9.7 0.6 9.0 -0.5 9.8 8.4 13.4 7.9 9.6 -0.5 8.1 0.6 9.7 8.6 12.8 -17.8 7.3 »2.3 p6.4 p 1.7 p8.7 »7.8 »11.1 »-16.6 »4.4 6.3 12.7 1.2 6.0 -0.7 6.6 -0.4 7.3 -0.1 6.8 -4.6 6.8 -8.2 9.6 1.6 19.4 '- 2 .4 11.1 7.6 r 13.9 '0.2 '7.8 '3.1 '7.7 2.6 12.2 0.8 9.3 4.5 10.7 0.9 5.9 4.7 8.9 -1.7 4.0 -0.8 8.9 -0.6 9.8 '- 2 .9 8.5 1.0 '11.7 '- 2 .7 8.8 1.8 '11.8 . r = revised. 89 WAGE AND COMPENSATION DATA are reported to the Bureau of Labor Statistics by a sample of 2,000 private non farm establishments and 750 State and local government units selected to represent total employment in those sectors. On average, each reporting unit provides wage and compensation information on five well-specified occupations. DATA FO R TH E e m p l o y m e n t c o s t i n d e x Data on negotiated wage and benefit changes are obtained from contracts on file at the Bureau, direct contact with the parties, and secondary sources. Definitions The E m ploym ent C o st In d ex (ECI) is a quarterly measure of the average change in the cost of employing labor. The rate of total com pensation, which comprises wages, salaries, and employer costs for employee benefits, is collected for workers performing specified tasks. Employment in each occupation is held constant over time for all se ries produced in the ECI, except those by region, bargaining status, and area. As a consequence, only changes in compensation are meas ured. Industry and occupational employment data from the 1970 Cen sus of Population are used in deriving constant weights for the ECI. While holding total industry and occupational employment fixed, in the estimation of indexes by region, bargaining status, and area, the employment in those measures is allowed to vary over time in accord with changes in the sample. The rate of change (in percent) is avail able for wages and salaries, as well as for total compensation. Data are collected for the pay period including the 12th day of the survey months of March, June, September, and December. The statistics are neither annualized nor adjusted for seasonal influence. W ages and sa la ries consist of earnings before payroll deductions, excluding premium pay for overtime, work on weekends and holidays, and shift differentials. Production bonuses, incentive earnings, com missions, and cost-of-living adjustments are included; nonproduction bonuses are included with other supplemental pay items in the bene fits category; and payments-in-kind, free room and board, and tips are excluded. Benefits include supplemental pay, insurance, retirement and savings plans, and hours-related and legally required benefits. D a ta on n egotiated w age changes apply to private nonfarm industry collective bargaining agreements covering 1,000 workers or more. Data on compensation changes apply only to those agreements cover ing 5,000 workers or more. First-year wage or compensation changes refer to average negotiated changes for workers covered by settle ments reached in the period and implemented within the first 12 months after the effective date of the agreement. Changes over the life Digitized for 90 FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis of the agreement refer to all adjustments specified in the contract, expressed as an average annual rate. These measures exclude wage changes that may occur under cost-of-living adjustment clauses, that are triggered by movements in the Consumer Price Index. Wage-rate changes are expressed as a percent of straight-time hourly earnings; compensation changes are expressed as a percent of total wages and benefits. E ffective w age adjustm ents reflect all negotiated changes imple mented in the reference period, regardless of the settlement date. They include changes from settlements reached during the period, changes deferred from contracts negotiated in an earlier period, and cost-ofliving adjustments. The data also reflect contracts providing for no wage adjustment in the period. Effective adjustments and each of their components are prorated over all workers in bargaining units with at least 1,000 workers. Notes on the data The Employment Cost Index data series began in the fourth quar ter of 1975, with the quarterly percent change in wages and salaries in the private nonfarm sector. Data on employer costs for employee bene fits were included in 1980, to produce a measure of the percent change in employers’ cost for employees’ total compensation. State and local government units were added to the ECI coverage in 1981, providing a measure of total compensation change in the civilian non farm economy. Data for the broad white-collar, blue-collar, and service worker groups, and the manufacturing, nonmanufacturing, and service indus try groups are presented in the ECI. Additional occupation and in dustry detail are provided for the wages and salaries component of total compensation in the private nonfarm sector. For State and local government units, additional industry detail is shown for both total compensation and its wages and salaries component. Historical indexes (June 1981 = 100) of the quarterly rates of chang es presented in the ECI are also available. For a more detailed discussion of the ECI, see chapter 25, “The Employment Cost Index,” of the BLS Handbook of Methods (Bulletin 1910), and the Monthly Labor Review articles: “Employment Cost In dex: a measure of change in the ‘price of labor,”’ July 1975; “How benefits will be incorporated into the Employment Cost Index,” Janu ary 1978; and “The Employment Cost Index: recent trends and ex pansion,” May 1982. Additional data for the ECI and other measures of wage and com pensation changes appear in Current Wage Developments, a monthly periodical of the Bureau. 30. Employment Cost Index [June 1981 =100] Percent change 1980 1981 1982 3 months ended Series June Civilian nonfarm workers'.................................. Workers, by occupational group White-collar workers .......................... Blue-collar workers.............................................. Service workers ........................ Workers, by industry division Manufacturing...................................... Nonmanufacturing.................................. Services.............................................. Public administration2 .............................. Private nonfarm workers ............................ Workers, by occupational group White-collar workers ............................................ Blue-collar workers................................ Service workers .................................... Workers, by Industry division Manufacturing........................................ Nonmanufacturing.................................. Dec. - - — — — — — March June Sept. Dec. - - 100.0 102.6 — — — — 100.0 100.0 100.0 102.7 102.3 102.8 — 100.0 100.0 100.0 100.0 _ — — — — — — — — — — — — — — — — March June 104.5 106.3 107.5 1.1 7.5 104.9 104.1 104.2 106.5 105.7 107.2 107.7 107.1 108.3 1.1 1.3 1.0 8.3 102.1 102.8 104.4 104.3 104.0 104.8 107.1 106.0 106.0 106.4 108.2 108.1 107.2 107.7 109.2 109.1 1.1 1.2 .9 .9 77 9.2 9.1 June 1982 90.7 92.8 94.7 98.1 100.0 102.0 104.0 105.8 107.2 1.3 7.2 90.8 90.5 90.8 92.6 93.0 92.7 94.5 94.9 94.3 98.3 97.8 99.3 100.0 100.0 100.0 101.8 102.2 101.9 104.0 104.0 103.1 105.8 105.6 106.7 107.2 107.0 107.9 1.3 1.3 1.1 70 90.5 90.8 92.6 92.9 94.7 94.7 98.0 98.2 100.0 100.0 102.1 102.0 104.0 103.9 106.0 105.7 107.2 107.1 1.1 1.3 7.1 - - - - 100.0 105.3 107.4 108.8 109.3 .5 9.3 — — _ — — ~ 100.0 100.0 105.7 104.2 107.8 105.9 109.1 108.2 109.5 108.9 .4 .6 8.9 — — — — — — — — 100.0 100.0 100.0 100.0 100.0 105.8 106.0 106.3 105.0 104.3 107.9 107.9 108.3 107.8 106.0 109.0 108.9 109.3 109.5 108.1 109.4 109.1 109.5 110.3 109.1 .4 .2 .2 .7 .9 94 91 95 10 3 9.1 State and local government workers .................... Workers, by occupational group White-collar workers ................................................ Blue-collar workers.......................................... Workers, by industry division Services...................................................... Schoo s .............................................. Elementary and secondary...................................... Hospitals and other services3 ...................................... Public administration2 .............................................. 'Excludes household and Federal workers. "Consists of legislative, judicial, administrative, and regulatory activities. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis Sept. 12 months ended — — — — — — — — — L2 7.9 includes, for example, library, social, and health services. Note: Dashes indicate data not available. 91 M ONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Wage and Compensation Data 31. Employment Cost Index, wages and salaries, by occupation and industry group [June 1981 =100] Percent change 1980 1981 Series 3 months ended June Sept. Dec. March June Sept. Dec. March June Civilian nonfarm workers'................................................ 12 months ended June 1982 - - - - 100.0 102.5 104.4 106.3 107.3 0.9 7.3 Workers, by occupational group White-collar workers ...................................................... Blue-collar workers ........................................................ Service workers ............................................................ — — — — — — — — — — - - 100.0 100.0 100.0 102.6 102.4 102.5 104.7 104.0 103.6 106.7 105.5 106.8 107.6 106.7 107.9 .8 1.1 1.0 7.6 6.7 7.9 Workers, by industry division Manufacturing................................................ Nonmanufacturing.................................................... Services.................................................................... Public administration2 ................................................ — — — — — — — — — — — — — — — - 100.0 100.0 100.0 100.0 102.1 102.7 104.4 103.8 104.0 104.5 106.6 105.5 105.9 106.5 108.6 107.5 107.0 107.5 109.5 108.4 1.0 .9 .8 .8 7.0 7.5 9.5 8.4 Private nonfarm workers Workers, by occupational group White-collar workers .................................................. Professional and technical workers.......................... Managers and administrators.................................. Salesworkers ........................................................ Clerical workers .................................................... Blue-collar workers .................................................... Craft and kindred workers ...................................... Operatives, except transport .................................. Transport equipment operatives .............................. Nonfarm laborers .................................................. Service workers ........................................................ Workers, by industry division Manufacturing............................................................ Durables................................................................ Nondurables.......................................................... Nonmanufacturing...................................................... Construction .......................................................... Transportation and public utilities ............................ Wholesale and retail trade...................................... Wholesale trade ................................................ Retail trade........................................................ Finance, insurance, and real estate.......................... Services................................................................ 91.5 93.5 95.4 980 100.0 102.0 103.8 105.9 107.1 1.1 7.1 91.4 908 92.0 90.7 91.9 91.6 91.4 91.5 92.2 91.8 91.9 93.3 93.2 93.5 92.2 93.8 93.8 94.0 93.6 93.5 93.9 93.4 95.2 95.3 94.7 94.8 95.7 95.7 96.1 95.5 95.3 95.7 94.8 98.1 98.2 98.6 96.2 98.6 97.7 97.8 97.8 96.8 97.5 99.2 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 101.8 103.3 101.6 98.0 102.7 102.3 102.9 102.1 101.0 101.5 101.8 103.9 105.5 102.8 101.9 104.2 103.9 104.3 104.1 102.7 103.3 102.7 106.2 108.0 105.8 102.2 107.0 105.4 106.2 105.4 103.2 104.1 106.7 107.3 109.4 107.2 101.8 108.3 106.6 107.6 106.6 104.1 105.1 107.9 1.0 1.3 1.3 -.4 1.2 1.1 1.3 1.1 .9 1.0 1.1 7.3 9.4 7.2 1.8 8.3 6.6 7.6 6.6 4.1 5.1 7.9 91.8 91.2 92.7 91.3 91.9 90.2 92.2 92.1 92.2 89.4 91.9 93.6 93.5 93.8 93.4 94.5 93.1 93.6 93.0 93.8 91.2 94.2 95.7 95.7 95.7 95.2 95.9 95.6 95.1 95.9 94.8 93.1 95.7 97.9 97.9 97.8 98.1 97.6 97.7 98.2 98.5 98.1 95.7 99.6 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 102.1 102.1 102.0 102.0 103.0 102.0 101.3 102.0 101.0 98.3 103.6 104.0 104.5 103.1 103.8 104.3 103.6 102.3 103.4 101.9 102.3 105.8 105.9 106.3 105.3 105.9 105.9 105.7 103.9 106.3 103.0 103.7 108.8 107.0 107.4 106.3 107.1 107.3 106.9 105.8 108.9 104.5 102.4 110.0 1.0 1.0 .9 1.1 1.3 1.1 1.8 2.4 1.5 -1.3 1.1 7.0 7.4 6.3 7.1 7.3 6.9 5.8 8.9 4.5 2.4 10.0 State and local government workers .............................. Workers, by occupational group White-collar workers .................................................. Blue-collar workers.................................................... Workers, by industry division Services.................................................................... Schools ................................................................ Elementary and secondary.................................. Hospitals and other services3 .................................. Public administration2 ................................................ 'Excludes household and Federal workers. Consists of legislative, judicial, administrative, and regulatory activities. 92 1982 https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis — — _ _ 100.0 105.0 107.0 108.2 108.7 .5 8.7 — — — — — — — — — — — 100.0 100.0 105.4 103.9 107.5 105.5 108.5 107.5 108.9 107.9 .4 .4 8.9 7.9 — — — — — — — — — — — — — 100.0 100.0 100.0 100.0 100.0 105.5 105.7 106.0 104.6 103.3 107.6 107.7 107.9 107.3 105.5 108.4 108.3 108.7 108.8 107.5 108.8 108.5 108.8 109.5 108.4 .4 .2 .1 .6 .8 8.8 8.5 8.8 9.5 8.4 _ _ _ 3 Includes, for example, library, social, and health services. N ote : Dashes indicate data not available. 32. Employment Cost Index, private nonfarm workers, by bargaining status, region, and area size [June 1981 = 100] Percent change 1980 1982 1981 3 months ended Series 12 months ended June Sept. Dec. March June Sept. Dec. March June June 1982 Union ................................................................................ Manufacturing ................................................................ Nonmanufacturing .......................................................... 89.7 — 92.4 — — — 94.7 — — 97.6 — — 100.0 100.0 100.0 102.5 102.3 102.7 104.8 104.6 105.0 106.5 106.3 106.8 108.4 108.0 108.7 1.8 1.6 1.8 8.4 8.0 8.7 Nonunion............................................................................ Manufacturing .................... . . . t-.................................... Nonmanufacturing .......................................................... 91.1 — — 92.8 — — 94.6 — — 98.4 — — 100.0 100.0 100.0 101.7 101.8 101.7 103.5 103.5 103.5 105.3 105.7 105.2 106.5 106.6 106.4 1.1 .9 1.1 6.5 6.6 6.4 90.6 90.3 92.8 91.9 94.7 94.2 98.1 98.1 100.0 100.0 102.1 101.8 104.1 105.2 105.7 106.2 107.2 107.0 1.4 .8 7.2 7.0 Workers, by bargaining status1 Union ................................................................................ Manufacturing ................................................................ Nonmanufacturing .......................................................... 90.8 91.3 90.4 93.5 93.8 93.1 95.8 96.1 95.5 97.4 97.7 97.1 100.0 100.0 100.0 102.7 102.6 102.8 105.0 104.7 105.2 106.5 105.9 107.0 108.1 107.3 108.8 1.5 1.3 1.7 8.1 7.3 8.8 Nonunion............................................................................ Manufacturing ................................................................ Nonmanufacturing .......................................................... 91.8 92.3 91.5 93.4 93.4 93.4 95.1 95.4 95.0 98.2 97.9 98.3 100.0 100.0 100.0 101.6 101.7 101.6 103.2 103.3 103.2 105.6 105.9 105.5 106.5 106.7 106.4 .9 .8 .9 6.5 6.7 6.4 Workers, by region1 Northeast .......................................................................... South ................................................................................ North Central...................................................................... West.................................................................................. 92.5 91.4 91.6 90.4 94.2 93.2 93.3 93.5 96.0 94.9 95.3 95.3 98.3 98.0 98.1 97.9 100.0 100.0 100.0 100.0 101.7 101.9 101.6 103.2 104.4 102.8 103.3 105.1 106.1 105.7 104.7 107.9 106.7 107.4 106.1 108.6 .6 1.6 1.3 .6 6.7 7.4 6.1 8.6 Workers, by area size1 Metropolitan areas.............................................................. Other areas........................................................................ 91.4 91.5 93.5 92.9 95.4 95.1 97.9 98.3 100.0 100.0 102.1 101.8 104.0 103.1 105.9 106.0 107.1 106.8 1.1 .8 7.1 6.8 COMPENSATION Workers, by bargaining status1 Workers, by area size1 Metropolitan areas.............................................................. Other areas........................................................................ WAGES AND SALARIES 1The indexes are calculated differently from those for the occupation and industry groups. For a detailed description of the index calculation, see BLS Handbook o f Methods, Bulletin 1910. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 93 M ONTHLY LABOR REVIEW October 1982 • Current Labor Statistics: Wage and Compensation Data 33. Wage and compensation change, major collective bargaining settlements, 1977 to date [In percent] Quarterly average Measure 1980 1981 1977 1978 1979 1980 1981 II III IV 1 9.6 6.2 8.3 6.3 9.0 6.6 10.4 7.1 10.2 8.3 10.2 7.4 11.4 7.2 8.5 6.1 First year of contract.................. Annual rate over life of contract .. 7.8 5.8 7.6 6.4 7.4 6.0 9.5 7.1 9.8 7.9 9.1 7.3 10.5 7.4 Manufacturing: First year of contract.................. Annual rate over life of contract .. 8.4 5.5 8.3 6.6 6.9 5.4 7.4 5.4 7.2 6.1 6.7 5.1 Nonmanufacturing (excluding construction): First year of contract.................. Annual rate over life of contract .. 8.0 5.9 8.0 6.5 7.6 6.2 9.5 6.6 9.8 7.3 Construction: First year of contract.................. Annual rate over life of contract .. 6.3 6.3 6.5 6.2 8.8 8.3 13.6 11.5 13.5 11.3 1982 p II III IV I II 7.7 7.2 11.6 10.8 10.5 8.1 11.0 5.8 1.9 1.2 2.1 1.6 8.3 6.5 7.1 6.2 11.8 9.7 10.8 8.7 9.0 5.7 3.0 2.8 2.9 2.7 8.4 5.6 7.8 5.8 6.4 5.5 8.2 6.7 9.0 7.5 6.6 5.4 2.5 2.7 1.3 1.2 10.3 8.5 9.5 5.9 8.2 6.8 8.0 7.3 11.8 9.1 8.6 7.2 9.6 5.6 2.6 2.1 6.5 5.7 12.2 10.4 15.4 13.0 14.3 12.0 11.4 10.3 12.9 11.1 16.4 12.4 11.4 11.7 9.1 8.9 5.8 6.0 Total compensation changes covering 5,000 workers or more, all industries: First year of contract.................. Annual rate over life of contract .. Wage rate changes covering at least 1,000 workers, all industries: p=preliminary. 34. Effective wage adjustments in collective bargaining units covering 1,000 workers or more, 1977 to date Year Year and quarter 1980 Measure 1977 1978 1979 1980 1981 1982 p 1981 II III IV I II III IV I II Average percent adjustment (Including no change): All industries.................................................... Manufacturing.............................................. Nonmanufacturing........................................ 8.0 8.4 7.6 8.2 8.6 7.9 9.1 9.6 8.8 9.9 10.2 9.7 9.5 9.4 9.5 3.3 3.4 3.2 3.5 2.9 4.0 1.3 1.7 1.1 1.7 2.3 1.2 3.2 2.4 3.8 3.3 3.1 3.4 1.5 1.9 1.1 1.0 .9 1.0 1.9 .9 2.6 From settlements reached in period .................. Deferred from settlements reached in earlier period From cost-of-living clauses................................ 3.0 3.2 1.7 2.0 3.7 2.4 3.0 3.0 3.1 3.6 3.5 2.8 2.5 3.8 3.2 1.0 1.4 .8 1.7 1.2 .7 .5 .3 .6 .4 .5 .7 1.1 1.4 .7 .5 1.5 1.2 .4 .4 .6 .2 .6 .3 .3 1.3 .2 Total number of workers receiving wage change (In thousands)' .................................................... — — — — 8,648 — — — 3,855 4,701 4,364 3,225 2,955 3,359 — — — — 2,270 — — — 579 909 540 604 199 407 — — — — — — — — — — — — — 6,267 4,593 — 888 2,639 2,055 2,669 3,023 2,934 882 2,179 1,038 1,960 1,629 1,496 — 145 _ _ — 4,937 4,092 4,428 5,568 5,767 5,364 From settlements reached in period...................................................... Deferred from settlements reached in earlier period .............................. From cost-of-llving clauses................................ Number of workers receiving no adjustments (in thousands) ...................................................... 1The total number of workers who received adjustments does not equal the sum of workers that received each type of adjustment, because some workers received more than one type of adjustment during the period. Digitized94for FRASER https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis p=preliminary, WORK STOPPAGE DATA Estimates of days idle as a percent of estimated working time measures only the impact of larger strikes (1,000 workers or more). Formerly, these estimates measured the impact of strikes involving 6 workers or more; that is, the impact of vir tually a ll strikes. Due to budget stringencies, collection of data on strikes involving 6 workers or more was discontinued with the December 1981 data. W ork S t o p p a g e s include all known strikes or lockouts in volving 1,000 workers or more and lasting a full shift or long er. Data are based largely on newspaper accounts and cover all workers idle one shift or more in establishments directly in volved in a stoppage. They do not measure the indirect or sec ondary effect on other establishments whose employees are idle owing to material or service shortages. 35. Work stoppages involving 1,000 workers or more, 1947 to date Number of stoppages Month and year Beginning in month or year Days idle Workers involved In effect during month or year Beginning in month or year (in thousands) In effect during month (in thousands) Number (in thousands) Percent of estimated working time 1947 ........................................................................................ 1948 1949 ......................................................................................... 1950 .. 270 245 262 424 1,629 1,435 2,537 1,698 25,720 26,127 43,420 30,390 .22 .38 .26 1951 1952 1953 1954 1955 ........................................................................................ ........................................................................................ ........................................................................................ ........................................................................................ ......................................................................................... 415 470 437 265 363 1,462 2,746 1,623 1,075 2,055 15,070 48,820 18,130 16,630 21,180 .12 .38 .14 .13 .16 1956 ........................................................................................ 1957 ........................................................................................ .................................................... 1958 .. . 1959 1960 287 279 332 245 222 1,370 887 1,587 1,381 896 26,840 10,340 17,900 60,850 13,260 .20 .07 .13 .43 .09 1961 1962 1963 1964 1965 ........................................................................................ ... ........................................................................................ ........................................................................................ .............................................................................. 195 211 181 246 268 1,031 793 512 1,183 999 10,140 11,760 10,020 16,220 15,140 .07 .08 .07 .11 .10 1966 ........................................................................ 1967 . 1968 ........................................................................................ 1969 1970 ........................................................................................ 321 381 392 412 381 1,300 2,192 1,855 1,576 2,468 16,000 31,320 35,567 29,397 52,761 .10 .18 .20 .16 .29 1971 1972 1973 1974 1975 ......................................................................................... ........................................................................................ ......................................................................................... ............................................................................ .............................................................................. 298 250 317 424 235 2,516 975 1,400 1,796 965 35,538 16,764 16,260 31,809 17,563 .19 .09 .08 .16 .09 1976 1977 1978 1979 1980 ........................................................................................ ........................................................................................ ........ ........................................................................................ ........................................................................................ 231 298 219 235 187 1,519 1,212 1,006 1,021 795 23,962 21,258 23,774 20,409 20,844 .12 .10 .11 .09 .09 1981 ......................................................................................... 145 729 16,908 .07 1981: January.................................................................. February ................................................................ March .................................................................... April ...................................................................... May ...................................................................... June ...................................................................... July........................................................................ August.................................................................... 6 7 16 17 18 30 23 9 12 10 20 27 27 43 38 17 12.0 10.7 201.6 48.0 85.1 200.1 80.1 36.2 29.6 20.9 207.8 223.5 259.0 415.1 125.4 86.6 257.9 118.5 861.8 4,085.2 4,454.0 2,618.3 1,575.5 1,017.9 .01 .01 .04 .20 .24 .13 .08 .05 1982“ January.................................................................. February ................................................................ March .................................................................... April ...................................................................... May ...................................................................... June ...................................................................... July........................................................................ August.................................................................... 2 2 3 9 14 17 11 14 4 6 8 16 21 25 22 23 6.1 2.5 8.3 35.7 43.7 41.4 37.3 40.2 11.4 13.9 21.3 55.3 60.3 64.5 63.2 59.1 199.9 236.9 352.2 480.3 636.1 894.0 851.9 779.0 .01 .01 .02 .02 .03 .04 .04 .04 p=preliminary. https://fraser.stlouisfed.org Federal Reserve Bank of St. Louis 95 Published by BLS in August SALES PUBLICATIONS BLS Bulletins Microfiche Employee Benefits in Medium and Large Firms, 1981. Bulletin 2140, 47 pp., $4.75 (GPO Stock No. 029-001-02711-7). The third in an annual series, this survey o f employee benefit provi sions provides representative data for 21.5 million full-time employees in a cross-section o f the Nation’s private industries in 1981. It was designed to furnish the Office o f Personnel Management with information on benefits o f private sector employees in order to compare them with benefits of Federal workers. Employment and Unemployment in States and Local Areas: 1978, BLS/LA US/AR -82/04. 1979, BLS/LA US/AR -82/03. Provides benchmarked monthly estimates o f the labor force, employment, and unemployment for States, labor market areas, counties, and county equivalents. Part of a subscription series,“ Local Area Unemployment Statistics,” available month ly: Domestic—$50 a year; Foreign—-$62.50 a year. FREE PUBLICATIONS Area Wage Survey Bulletins BLS Reports These bulletins cover office, professional, technical, maintenance, custodial, and material movement occupations in major metropolitan areas. 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