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IN THIS ISSUE: • What’s Happening MONTHLY REVIEW To Prices? • Job Growth: Population Centers vs. Hinterland • Southern Mortgage Banking Matures • District Business Conditions F E D E R A L R E S E R V E B A N K O F A T L A N T A November 1967 W h a t 's H a p p e n i n g Are prices going up? If you are the average man-in-the-street con sumer, you might very well reply bitterly, “Of course. They never come down, do they?” On the other hand, if you are a dealer in inedible fats and oils or a cotton textile mill owner, you might say that you certainly hope so, but that if they keep going down, you will be bankrupt and won’t care. Which is by way of illustrating, both that prices tend to be a rather emotional topic of con versation and that you can nearly always find somebody who is dissatisfied with their behavior, either because they are going up or down or not doing one or the other fast enough. If you are selling something, whether it be a commodity, a manufactured product, or a service, you want its price to be high; if you are buying, you want prices low. All of us are concerned with the specific prices that immediately affect our welfare as producers or consumers. We are also concerned (or should be) with prices in general, since inflation or deflation affects the value of money and, therefore, our decisions to spend, to save, and to invest. If we want to measure the behavior of prices “in general,” however, we immediately face a problem. Literally, millions of prices are set everyday in the United States. They may be es- M o n t h ly R e v ie w , V o l. L I I , N o . 11. F ree su b sc rip tio n a n d a d d itio n a l copies a v a ila b le u p o n request to the R e se a r c h D e p a rtm e n t, F e d e ra l R e se rv e B a n k of A tla n ta , A tla n ta , G e o rg ia 30303. 142 t o P r i c e s ? tablished impersonally in organized markets like the Chicago Board of Trade or the New York stock exchanges, stamped on paper tags by de partment store clerks, printed in manufacturers’ price lists, or quoted verbally by the comer barber. If all prices always rose or fell simultaneously in the same proportion, there would be no prob lem of measurement. We could simply say that prices went up (or down) by x percent this month. But prices never behave this way. Some go up, while others go down, or they rise or fall at different rates. Nothing meaningful can be said about millions of individual prices simulta neously, so we must find some way to lump them together, with a single number as the result. Changes in that number, then, will provide a measure of how prices “in general” have changed. The Bureau of Labor Statistics is the prin cipal compiler of price statistics in the United States. It publishes numerous subsidiary indexes, as well as two major ones—the Consumer Price Index (CPI) and the Wholesale Price Index (W P I). At first glance, this seems like a bewild ering array of figures that is rather disappoint ing after being promised “one number” whose behavior would tell what is happening to prices. But different people want to know different things about prices and sets of prices. The tex tile industry is particularly interested in textile prices, the steel industry in steel prices, and so on. But for any particular combination of prices, the Bureau of Labor Statistics computes a single index number that represents the central ten dency of that particular universe. MONTHLY REVIEW Consumer Prices The Consumer Price Index, according to the Bureau, “is a statistical measure of changes in prices of goods and services bought by urban wage earners and clerical workers, including families and single persons.” This statistical measure is derived by comparing the total cost of a fixed “market basket” once a month with the total cost in some given base period. The base period currently used is 1957-59. Thus, if the CPI is 117.1 (as it was in September 1967), this means that in that month it cost the average urban wage earner and clerical worker family $11.71 to buy the same bundle of goods and services for which they paid $10 in 1957-59. The items making up the “market basket” are divided into five main groups: (1) food; (2) housing; (3) apparel and upkeep; (4) transpor tation; and (5) health and recreation. Chart I il lustrates how the various groups have affected the overall index (“all items,” the top line) at differ ent times. The almost steady rise in this index during the period shown is nothing new. It has been rising slowly since 1961, when the present economic expansion began. However, its rate of increase advanced in early 1965, again in early Chart I N e a rly all m ajor c o m p o n e n ts of the c o n s u m e r p rice in d e x h a ve rise n ste a d ily s in c e 1965, w ith the m o st rap id in c re a s e s in the ove rall in d e x (sh a d e d a re a s) r u n n in g c o n c u rre n tly w ith fo od p rice a d v a n c e s. Percent 1965 1966 1967 " S e a s o n a lly a d ju ste d b y B L S . S o u rc e : U. S. D e p a rtm e n t of Lab or, B u r e a u of L a b o r S ta tistic s. NOVEMBER 1967 1966, and, most recently, from June through August. The increase in early 1965 was primarily the result of rising food prices, the other components changing relatively little. In early 1966, all the components rose and their combined effect pro duced the most rapid rise in the overall index since 1957, an annual rate of 5.4 percent. In late 1966 and early 1967, food prices declined and transportation prices at least hesitated, leading to six months of very slow increases. Beginning in June of this year, this restraint disappeared, and the “all items” index climbed rapidly, at an annual rate of 4.7 percent from June through August. In September, food prices again dropped, although not to June levels, and the rise of the all items index moderated. Wholesale Prices The Wholesale Price Index is designed to meas ure price changes at a different level of produc tion, not, as with the CPI, at the moment goods and services are bought by consumers, but rather “in primary markets,” or at the level of “the first significant commercial transaction.” The relevant prices, in other words, are those at which prod ucts enter the market for the first time, as op posed to consumer prices, those at the other end of the distribution process. There are 15 major divisions of the WPI, but 13 of them are lumped together under the gen eral heading of “industrial commodities.” The other two are “farm products” and “processed foods and feeds.” These three series display markedly different behavior, as shown in Chart II. At the beginning of 1965, the overall index (“all commodities,” the top line) hardly dif fered from its level in the base period. This had been one of the outstanding characteristics of the business expansion during its first four years. Wholesale prices had remained almost constant, on average, even though consumer prices were slowly rising. But a combination of rising in dustrial, farm, and food and feed prices in 1965 and most of 1966 produced a fairly rapid increase in the overall index. The overwhelming importance of industrial prices is apparent in the period of late 1966 and early 1967 when, in spite of sharp drops in farm products and food and feed prices, the overall index declined less than one and one-half percent and was still 5.1 percent above its January 1965 level. Perhaps the most alarming feature of Chart II is the rise in industrial commodity prices from August through October of this year. After virtual 143 Chart II T h e ove ra ll w h o le s a le p rice in d e x s h o w s little flu c tu atio n b e c a u s e of the h e a v y w e ig h t of in d u stria l c o m m o d itie s. H o w ever, s o m e v o la tility is e v id e n t in the p ric e s of farm p ro d u c ts a n d p ro c e sse d fo o d s a n d feeds. Percent Sou rce: U. S. D e p a rtm e n t of Labor, B u re a u of L a b o r S ta tistic s. stability for thirteen months and absolutely no change for five, this crucial sector of the index rose at an annual rate of 2.7 percent. Since the behavior of the overall index is so strongly influenced by industrial prices, it is interesting to see which industrial groups have teen most important. Chart III shows how four of these industrial groups have behaved. Metals and metal products and machinery and equipment have contributed strongly to the 1965-67 rise, both because they have been among the most rapidly rising groups and because of their large relative importance. Metals and metal products Chart III T he C o n s tru c tio n The Consumer Price Index (CPI) attempts to measure changes in prices of goods and services bought by urban wage earners and clerical workers, including families and single persons. It is derived by compar ing the total cost of a fixed “market basket” once a month with the total cost in the base period, 195759. The key word is “same.” That is, the composi tion of the “market basket” is held constant, both as to the items included and their quantity, so that the change in total cost must be due to changes in prices. Of course, if the market basket were held constant too long, it would get out of touch with the actual behavior patterns of the population, and the Bureau would be trying to price things that nobody buys any more, such as steel phonograph needles or player pianos. To avoid this, the Bureau conducts a Con sumer Expenditure Survey periodically. The last one in 1960-61 involved collecting complete records of in come and outlay of a selected sample of families for a calendar year. As a result, the relative importance of many of the items in the market basket were changed, new ones added, and others dropped. The current sample chosen to represent the market basket includes 812 items. Not all of these are priced every month everywhere in the country, as this would be prohibitively expensive. A representative sample is priced at a selected sample of retail outlets in a selected sample of cities. The five largest urban areas are priced every month, other large cities and a selec tion of smaller cities and towns once every three months, staggered so that some are priced every month. Food prices are collected monthly in every urban area, however. In the Sixth District, prices are collected in Atlanta, Nashville, Baton Rouge, Or lando; Florence, Alabama; and Vicksburg, Mississippi. A separate CPI is published, quarterly, only for At lanta, however. Separate indexes are computed and published for each of the main subdivisions of the index and several special groupings. The major subdivisions, with their percentage weights, are: M a jo r G r o u p s T h e rela tive sta b ility of the in d u s tria l c o m m o d it ie s in d e x c o n c e a ls a h ig h d egre e of d iv e rsity in its c o m p o n e n t parts. Percent P e rce n t of A ll Ite m s D ecem ber 1963* F oo d H o u s in g A p p a re l a n d u p k e e p T ra n sp o rta tio n H e a lth a n d recre a tio n M e d ic a l ca re P e rso n a l ca re R e a d in g a n d recre a tio n O th e r g o o d s a n d s e r v ic e s ♦Totals m ay not add to 100 because of rounding. 2 2 .43 33.23 10.63 13.88 19.45 5.70 2.75 5.94 5.06 Three of these major groups—food, apparel and upkeep, and transportation—show significant seasonal movements and are regularly published on a seasonally adjusted, as well as unadjusted, basis. The overall (“all items”) index is not seasonally adjusted be cause seasonal fluctuations in the components offset one another. Source: U. S. Department of Labor, Bureau of Labor Statistics. Digitized1for 4 4 FRASER MONTHLY REVIEW o f t h e P r ic e I n d e x e s The Wholesale Price Index (WPI) is designed to measure price changes in primary markets, or at the level of the first significant commercial transaction. Wholesale prices, in other words, are those at which products enter the market for the first time. The WPI is designed to cover “all commodities sold in commercial transactions in primary markets of the United States.” A sample of about 2,300 items has been chosen to reflect price changes in this uni verse, constructed so as to represent all commodity groupings, market participants, and geographical areas. Most quotations are obtained by mail from reporting firms, but some are the prices established on organized exchanges, such as coffee, wheat, etc. The various items are weighted by the net selling value of com modities produced, processed, or imported in the U. S., according to the industrial censuses. These weights were revised in January 1967, using data from the 1963 Censuses of Manufacturers and Mineral Industries, and the commodities were regrouped to provide more meaningful aggregates. There are 15 major groups in the WPI, listed below, together with their relative importance: C o m m o d ity G ro u p s A ll account for 12.8 percent of the net selling value of all commodities, and machinery and equip ment for 12.1 percent. Chemicals and allied products and textile products and apparel, on the other hand, hardly changed. The textile group index was less than one and one-half percent higher in August than it had been in January 1962, and chemical prices were actually lower. Thus, concealed beneath the relative stability of the overall industrial index is considerable diversity among its component groups. But with in any one group the diversity is frequently even greater. Chart IV shows, for example, three of the subgroups contained within the chemicals and allied products group. The index for prepared Chart IV T h e ste e p fall in in e d ib le fa ts a n d o ils p rice s s in c e ea rly 19 6 5 c o n tra sts str o n g ly w ith the sta b le p ric e s of prepared p a in ts a n d d r u g s a n d p h a rm a c e u tic a ls. Percent a1957-59= 100 I I 120 R e la tive im p o rta n ce (percent), 19 6 3 w e ig h ts a s of D e c e m b e r 196 6 c o m m o d it ie s F a rm p ro d u c ts P ro c e ss e d fo o d s a n d fe e d s In d u s t ria l c o m m o d itie s T extile p ro d u c ts a n d a p p are l H id e s, s k in s, leather, a n d related p ro d u c ts F u e ls a n d related p ro d u c ts an d p ow er C h e m ic a ls a n d a llie d p ro d u c ts R u b b e r a n d ru b b e r p ro d u c ts L u m b e r a n d w o od p ro d u c ts Pulp, paper, a n d a llie d p ro d u c ts M e ta ls a n d m etal p ro d u c ts M a c h in e r y a n d e q u ip m e n t F u rn itu re a n d h o u se h o ld d u r a b le s N o n m e ta llic m in e ra l p ro d u c ts T ra n sp o rta tio n e q u ip m e n t M is c e lla n e o u s p ro d u c ts 1 00.000 10.637 16.533 7 2 .8 3 0 7 .149 1.264 7.130 6 .378 2 .339 2.418 4 .877 12.799 12.110 3.584 3.040 7.244 2 .498 Prepared Paints„ 110 s ; »( Drugs and i Pharmaceuticals 100 i 100 — 90 90 Inedible Fats and Oils 80 1965 1966 80 1967 S o u rc e : U. S. D e p a rtm e n t of Labor, B u re a u of L a b o r S ta tistic s. The relative importance of these groups has changed considerably over the years. For instance, the 1909 weights, used in one of the earliest versions of the index, were: C o m m o d ity G ro u p F a rm p ro d u c ts Foods A ll oth er 1 9 0 9 W e ig h ts (percent) 29.04 25.54 4 5.42 The index, when it was constructed with these weights, was much more volatile than it is now, be cause it was more heavily influenced by farm products and foods, whose prices are always much more subject to change than are those of industrial commodities. NOVEMBER 1967 paints is slowly rising, while drugs and phar maceuticals show no trend. Neither displays any pronounced movement from month to month. But the inedible fats and oils index shows tremendous volatility, and the road has been almost entirely downhill since early 1965, when the W PI actually advanced. The same underlying crosscurrents are visible in other groups, such as textiles (rising prices for silk yams and falling prices for manmade fiber products) and metals and metal products (iron and steel prices very slowly in creasing and nonferrous metals recently declin ing). The diversity in price movements that we have noted can be observed in almost any period. It is 145 an essential feature of our economic system that prices should be flexible in relation to one an other, because they are guideposts to business men, encouraging production of those things whose prices are rising, discouraging the produc tion of those whose prices are falling. Without this flexibility of individual prices, resources would be misdirected and our standard of living would inevitably be lower. It is not at all desir able, however, that the price level should be flexible. Inflation, among other things, diverts businessmen from their proper preoccupation with production and distribution to speculate on the future course of prices. Deflation’s nastiest by-product is unemployment, but it, too, pro duces business uncertainty and other unpleasant effects. So, just as flexibility of individual prices is necessary for our economy to work efficiently, reasonable stability of the price level is necessary for the same end. Inflation? By comparison with other countries, we have never had what could be called a “runaway” in flation. The 2-percent average annual rise in wholesale prices from 1965 to date, or the 2.8percent increase in consumer prices, is piddling compared with the 73-percent inflation in the cost of living in Uruguay in 1966 or the incredi ble 855-million percent rise of wholesale prices in Germany in 1923. But this gives us no grounds to be smug. A 2.8-percent average annual increase every month can cut the purchasing power of the consumer’s dollar by nearly 43 percent in twenty years, or by 61 percent at the JuneAugust annual rate of 4.7 percent. The worst feature of inflation is that it is self reinforcing. As prices in general rise, people ex pect them to continue upward and behave so as to make that expectation come true. We must be 1 4 6FRASER Digitized for constantly on the alert to prevent any such in flationary spiral—or, for that matter, a defla tionary spiral either—from getting started. The price of stability, to paraphrase a famous quota tion, is eternal vigilance. Monetary policy—the power to change the availability of bank reserves—and fiscal policy— the power to change the tax receipts and expendi tures of the Federal Government—constitute our principal defenses against inflation. Both work ultimately on the level of total demand, moderat ing its rise when it increases faster than produc tive capacity, stimulating it when it rises too slowly to employ all our productive resources. So far in 1967, the private demand sector has not been a heavy contributor to raising total de mand. Construction is only now achieving the level it reached last year before the credit squeeze; consumers have been saving larger-thanusual percentages of disposable income; businessfixed investment has marked time; and inventory investment has fallen to very low levels. It is perhaps significant that price increases were mod erate until after midyear. There are indications, however, that many of these areas are likely to show increasing strength over the next three quarters. And defense spending, while not rising so rapidly as it did in 1965-66, is still contribut ing to the expansion of total demand. Monetary and fiscal authorities will need all their wisdom and sophistication in the coming months to main tain a stable, growing economy without inflation. Lawrence F. M ansfield B a n k A n n o u n c e m e n ts On October 1 the Darien Bank, Darien, Georgia, a non member bank, began to remit at par for checks drawn on it when received from the Federal Reserve Bank. MONTHLY REVIEW J o b G r o w t h : P o p u l a t i o n One of the more popular variants of “the rich get richer and the poor get poorer” theme applies to the relative growth rates of urban and rural areas. The general belief is that large urban areas boom at the expense of smaller areas which do not receive their share of new jobs. For example, at a recent meeting of an industrial group, one speaker warned: “Industrial growth is going into population centers, while in the hinterland the growth is spotty.” The same theme has been echoed many times, and ominous implications are frequently drawn from this thesis because of urban slums and congestion. But has the recent behavior of employment displayed this urbanrural dichotomy in the Atlanta Federal Reserve District? For the purposes of this discussion, population centers are defined as the Major Labor Market Areas (MLMA’s) and the hinterland as the dif ference between the state total and the sum of the MLMA’s for each state. Hinterland data are somewhat rough because some MLMA’s include counties in more than one state. Since these counties are small, relative to the state totals, and since nonfarm payroll statistics reflect place of work rather than residence, the distortion in hinterland data will be small. The U. S. Department of Labor has defined 18 of the Standard Metropolitan Statistical Areas (SMSA’s) in the Sixth District as major labor markets. For the six states these population cen ters contain about half the Sixth District’s nonfarm jobs. In 1966 the percent of nonfarm jobs in MLMA’s by state ranged from 13 in Missis sippi, which has one MLMA, to 58 in Tennessee and Georgia, which have 4 and 5 MLMA’s, re spectively. The MLMA’s are listed in the table and outlined on the map on page 149. NOVEMBER 1967 C e n t e r s v s . H i n t e r l a n d Demographic Factors and Total Employment Population growth proceeded at a more rapid rate in the MLMA’s (11 percent) than in the less urbanized areas (10 percent) during the 1960-65 period. Moreover, the participation rate (labor force divided by the population) was low in the hinterland because farm families have more children and a large percentage of the population is made up of retirees. The migration from rural to urban areas occurs primarily among young adults, the most likely participants in the labor force. Therefore, the 40-percent participation rate of MLMA’s, compared with 35-percent for nonMLMA’s, comes as no surprise. A faster population growth and higher partici pation rate enabled the MLMA’s to outdistance the hinterland in growth of the work force be tween 1963 and 1966. With a larger supply of new workers and the declining number of farm jobs making only a slight impact, the population centers registered a 13-percent advance in total employment between 1963 and 1966, compared with an 11-percent gain in the hinterland. Despite a slower growth in total employment, the areas outside population centers recorded a dramatic reduction in the unemployment rate— from 6.0 percent in 1963 to 3.7 percent in 1966. For MLMA’s the change was from 5.1 percent to 3.3 percent. Although the rate remained lower in the MLMA’s in 1966, the differential was re duced from 0.9 to 0.4 percentage points. Florida was the only District state in which the unem ployment rate outside the MLMA’s was lower. The high percentage of farm workers in the work force in the hinterland explains much of the difference in the rate. Farm employment has large seasonal fluctuations and is experiencing a 147 secular decline in jobs. In 1966 the U. S. unem ployment rate for farm workers was nearly double that for nonfarm workers. If the same unemploy ment rate for farm workers prevailed in the Dis trict as in the U.S., the jobless rate for nonfarm workers in the non-MLMA’s would be 3.4 percent —almost the same as for MLMA’s. Although the population centers outpaced the hinterland in terms of total job growth, the more widely used statistics on nonfarm payroll employ ment give the nod to the less urbanized areas in the growth race. What accounts for the difference in the behavior of total and nonfarm employment between the two types of areas? Although MLMA’s had a faster growth in the work force than other areas, the increase in the supply of nonfarm workers was similar for both types of areas because of the reduction in farm employ ment. During the 1963-66 period farm employ ment was reduced by 108,000, or 15 percent. All of the lost agricultural jobs were outside MLMA’s. Therefore, the subtraction of farm workers from the total work force gives an equal increase of about 12-percent in the nonfarm labor for both types of areas. Lower wages outside the major labor markets explain part of the faster growth in the hinter land. Wages on which social security taxes were paid during first quarter 1962 in the six states averaged $1,041 in MLMA’s and $893 outside MLMA’s. Since wages in both types of areas ad vanced 15 percent in the 1962-66 period, relative wages have not changed. However, the dollar dif ferential has increased. Although some of the differential in wages results from the higher av erage skill in the MLMA’s—indicated partly by the higher levels of median education—area wage studies have found a wage differential between urban and rural areas for the same job. Wage rates may affect some firms’ decision to choose one location over another. Smaller towns and rural areas of the region could still be lagging if job growth in the nonMLMA’s were concentrated in the metropoli tan areas not classified as major labor markets. Of the 31 SMSA’s—defined as cities with a popu lation of 50,000 or more inhabitants and the counties which are economically and socially in tegrated with the central city—only 18 are MLMA’s. In the 1960 Census each of the MLMA’s had a population of 200,000 or more. In the 1962-66 period employment covered by social security for the non-SMSA’s grew faster than for the SMSA’s, 26.2 and 24.7 percent, re spectively. Thus, the alternative definition of Digitized148 for FRASER “population centers” does not alter the results!. With the supply of nonfarm workers similar in and outside MLMA’s, the answer for the differing behavior of job growth in the two types of areas must be found in the demand for various kinds of labor. Labor Demand by Major Types of Activity One reason for the faster nonfarm job growth out side the MLMA’s is that the types of economic activity most important in the hinterland have grown faster than average in the District states;. During the 1963-66 period, the three sectors which grew faster than total nonfarm employ ment were construction, manufacturing, and gov ernment. The less urbanized areas had a larger percent of employment in each of these activities than did the major labor market areas. The large share of employment in fast growing sectors out side MLMA’s was reinforced by a more rapid in crease in these three sectors in the hinterland. The faster growth in government jobs outside MLMA’s can be explained partially by the loca tion of two state capitals and many military and space facilities in areas outside large population centers. Inasmuch as the fast growth in construc tion jobs outside MLMA’s is expanding the busi ness base, new jobs are being created. Some Geographical Differences For the six-state total, non-MLMA’s grew faster than the MLMA’s, although in Georgia and Louisiana the situation was reversed. In cases where the other areas did not grow faster, MLMA’s registered a rather vigorous growth rate. In Georgia, Atlanta and Augusta nonfarm jobs advanced 19 percent, and in Louisiana, Baton Rouge jobs jumped 25 percent and New Orleans employment 21 percent. Of the MLMA’s, Mobile had the lowest growth rate because of a reduction in government jobs, still in progress. In 11 of the 18 cases, the MLMA had a slower growth of nonfarm jobs than did the non-MLMA in the state where it was located. In all six states the “other” area grew faster than at least one of the MLMA’s in that state. While employment for the hinterland has been concentrated in the District’s fast growing sectors during the years of cyclical expansion, this may not be the case from a longer-term secular point of view. Jobs in cyclical industries like manufac turing and mining had below average growth rates over the last 20 years. Goods producing indus tries have generally been subject to a faster rate MONTHLY REVIEW 1963-66 Percent Change in Nonfarm Employment 1966 Unemployment Rate H H Below Average Below Average [23 Average Average I H I Above Average Above Average Area Employment Indicators N o n fa rm M a n u f a c t u r in g Unem p lo ym e n t Rate, 19 6 6 14.4 10.3 2.3 18.4 18.2 8.2 13.3 22.4 4.2 4.1 4.4 4.2 18.7 12.5 15.0 20.9 15.5 23.9 2.6 2.2 3.5 16.1 22.2 21.9 20.3 2.4 2.4 16.1 18.4 19.7 18.8 12.2 8.6 14.6 17.6 20.9 19.5 7.7 20.2 8.3 17.2 3.4 2.8 3.2 3.5 2.9 3.5 3.7 1 9 6 3 -6 6 P e rce n t C h a n g e Area Alabama 1. 2. B ir m in g h a m M o b ile O u tsid e M L M A ’s Florida 3. 4. 5. J a c k s o n v ille M ia m i Tam paSt. P e te rsb u rg O u t s id e M L M A ’s Georgia 6. 7. 8. 9. 10. A tla n ta A u g u s ta C o lu m b u s M acon Savannah O u tsid e M L M A ’s NOVEMBER 1967 196 3 -6 6 P e rce n t C h a n g e N o n fa rm Area Louisiana 11. 12. 13. B a to n R o u g e N ew O rle a n s S h re v e p o rt O u tsid e M L M A ’s Mississippi 14. Jackson O u tsid e M L M A ’s Tennessee 15. 16. 17. 18. C h a tta n o o g a K n o x v ille M e m p h is N a sh v ille O u tsid e M L M A ’s Six States 18 M L M A ’s O u tsid e M L M A ’s M a n u f a c t u r in g Unem p lo ym e n t Rate, 196 6 17.9 25.4 20.5 10.5 15.8 14.5 8.2 21.9 31.6 8.6 4.3 3.7 3.3 3.2 5.3 17.0 13.5 17.7 23.6 19.5 24.0 4.2 3.2 4.3 18.6 21.9 13.8 13.5 20.8 20.9 23.5 25.4 12.5 15.8 23.2 28.0 3.2 2.9 2.7 2.9 2.4 4.3 17.0 15.8 18.1 19.8 16.1 22.7 3.5 3.3 3.7 149 of technological advance, which reduces labor requirements per unit of output, than have the service industries. Large cities, long characterized as industrial centers, now have a larger percent of employment in nonindustrial jobs than do the smaller areas. However, an important part of ex pansion depends upon the growth of an area’s in dustries which serve national markets and create a demand for jobs in the local service areas. Therefore, developments in the manufacturing sector, which primarily serves nonlocal markets, need examination. Growth in Manufacturing Employment In manufacturing, the difference in the 1963-66 percentage growth rates in jobs between MLMA’s and non-MLMA’s was greater than for any other major division, with rates of 22.7 and 16.1 per cent, respectively. Manufacturing jobs in the hinterland areas recorded their best gain in Ten nessee, with a 42-percent advance in durable jobs in which furniture and fabricated metals manufacturing led the way. Durable goods jobs in the hinterland increased more rapidly in each state than in the MLMA’s of that state, even though the fastest growing durable goods industries were concentrated in population centers. For the six states, the fastest growing durable goods manufacturers were transportation equip ment, fabricated metals, and furniture. Transpor tation equipment jobs are substantially more im portant in the MLMA’s, fabricated metals are somewhat more concentrated in MLMA’s, and furniture manufacturing is more pronounced out side the major labor markets. The only durable goods industry with a job growth rate substan tially below that of total manufacturing, lumber and wood products, is concentrated outside metropolitan areas. Furniture and fabricated metal manufacturing jobs grew faster in the nonMLMA’s in every District state than in the pop ulation centers. For nondurable goods manufacturing, the fast est growth in this region occurred in the apparel industry, located primarily in small towns. In the food, paper, and printing industries, where the area growth was about average, the pace was substantially faster outside the large urban areas. In the chemical industry, on the other hand, growth was higher in the MLMA’s. However, the chemical industry does not employ a large num Digitized150 for FRASER ber of people. For the paper and food industries, the availability of the principal material inputs makes the less populated areas attractive. The small capital requirements and the availability of many small towns with an adequate supply of female labor draws apparel firms to these areas. Thus, the more rapid growth in nondurable goods jobs outside the MLMA’s is not unexpected. Dispersion of Jobs These employment developments reflect a gen eral dispersion of industry away from population centers. A recent study by the U.S. Department of Labor also indicates that job growth is pro ceeding at a faster pace in the fringe counties of metropolitan areas than in the central counties. This dispersion reflects improved transportation and the move away from city congestion. In the central cities, the cost of both land and labor is considerably higher. The concerted effort of many industrial de velopment commissions to bring new industry into these less developed areas has also played a role in the dispersion of industry. These agen cies make special studies of small areas to un cover potentialities and develop different train ing programs to improve the quality of the local labor force. Many of the less developed counties have taken advantage of special legislation, such as industrial bonds and tax concessions, to at tract industries to their area. Such devices are less frequently used by large cities. While the data clearly indicate that the areas outside metropolitan areas have grown faster in terms of nonfarm and industrial jobs in recent years, the aggregates cover up many of the dis parities among individual areas. The variability of job growth is greater among hinterland coun ties than MLMA’s because non-urban counties are more likely to depend upon a few industries or firms. If the fortunes of a dominant firm lo cated in a less developed county falter, the local economy can easily lag. For larger areas, the number of different industries allows great op portunity for offsets. Yet the disparities in the fortunes of less populated counties do not mean the hinterland is losing out on the competition for new jobs. Growth may be spotty, but both nonfarm and industrial jobs have increased at faster rates in the hinterland in general than in the large population centers in recent years. R ichard Long MONTHLY REVIEW S o u t h e r n G ro w th M a n d o r t g a g e B a n k i n g M a t u r e s — P a r t II S tru c tu ra l C h a n g e In fulfilling the essential role of maintaining and improving regional access to national capital markets, southern mortgage bankers have be come larger, better capitalized, more experienced, and more flexible. In the 1950’s, the industry’s growth was explosive in terms of the number of companies establishing themselves and rapidly increasing their volume of specialized services. In the 1960’s expansion has continued at a slower pace, and the emphasis has shifted from quantita tive to qualitative growth. Volume and Source of Mortgage Funds Administered Mortgage bankers are service organizations. Al though they devote much of their resources to originating mortgages and providing other ser vices to their borrowing clients, they typically emphasize continuing servicing of mortgages for predominantly nonlocal investors as the measure of their size and growth. According to Bank esti mates, at the end of 1966 about $11.4 billion of mortgages on properties located in the South1 re quired such servicing, excluding that normally performed by local institutions of their own per manent portfolios (Chart I). Of this total, an estimated $9.1 billion, or 80 percent, was serviced by specialized mortgage companies. Commercial banks in the region, acting as mortgage bankers, serviced an additional 6 percent, while nonregional life insurance companies accounted for the remaining 14 percent directly or from offices xT h e states of A la b a m a , F lo rid a , G e o rgia, L o u isia n a , M is s is s ip p i, a n d Tennessee. S u r v e y T e c h n iq u e s a n d R e s u l t s The analysis presented here was drawn primarily from a universe survey of all known mortgage bank ing firms (174), active in mortgage servicing on December 31, 1966. Most of the firms are members of the Mortgage Bankers Association of America and are headquartered in the six-state region of Alabama, Florida, Georgia, Louisiana, Mississippi, and Ten nessee. Also included in the survey were known firms that are not MBA members. An auxiliary survey was made in Florida, where the most changes in the number of firms have oc curred over the past seven years. It was initially limited to determining whether firms advertising under “Mortgages” or “Real Estate Lending” in classified telephone directories were in fact mortgage banking firms and whether they would participate in the survey. Five responded to a follow-up inquiry with basic ser vicing data included in the total servicing volume of the analysis. A third supplementary survey was conducted, cover ing all known mortgage banking firms headquartered outside the six states but which had branches, affiliates, or other formal servicing arrangements for mortgages on properties in the region. The basic survey was also supplemented by personal visits, correspondence, and telephone conversations with various mortgage bankers. The main survey was patterned after a similar, but less extensive, survey made in the summer of 1960. The earlier survey was the Bank’s first formal attempt NOVEMBER 1967 to appraise the role of mortgage bankers in the region’s capital inflows and in particular to quantify their contributions to regional mortgage financing. The current survey updates those data and in addition pro vides the basis for evaluation of structural changes within the industry. Survey response was excellent, considering the type and quantity of detail requested: Survey Section Main survey Florida supplement Branch operations of firms headquartered outside region Questionnaires Responses Number Mailed Number Percent 174 106 61 185 5* 3 32 16** 50 ^Of the 22 firms responding to the 185 initial in quiries, 5 subsequently returned abbreviated ques tionnaires covering volume of servicing totaling $26.4 million, 5 returned questionnaires without furnishing any data, and 12 did not return ques tionnaires. *Two additional firms responded but could not break out their servicing volume by state because of computer programming problems. 151 Chart I S o u th e rn m o rtg a g e b a n k e rs se rv ic e d o v e r tw o-third s of m ort g a g e s ow ne d by n o n -so u th e rn in v e s to rs on s o u th e rn p ro p er ties, a c c o r d in g to a s u rv e y m ad e on D e c e m b e r 31, 1966. B ILLIO N S O F D O L L A R S 4 8 1 All Servicers Reporting Mortgage Bankers Active Non reporting Mortgage BankersEstimate Branches of NonSouthern Mortgage Bankers Life Insurance Companies SelfServicing I I located in the region. Specialized mortgage companies responding to the survey and headquartered in the South serviced $7.2 billion, or 63 percent of the total. Active nonreporting mortagage companies ser viced an estimated $826 million. Fifteen of 31 mortgage companies headquartered outside the region but who maintained branch offices within the region serviced an estimated $1.1 billion. The foregoing analysis makes it clear that a particular region such as the South is not wholly dependent upon its own mortgage companies for importation of mortgage funds. It is equally clear, however, that major dependence does have to be placed upon them. Historically, locally-ori ented institutions have maintained such channels over the longer run. Less than 25 percent of the companies head quartered in the South serviced two-thirds of the $7.2 billion total for the group, as can be seen in Chart II. The ten largest companies, represent ing less than 10 percent of all the reporters, ser viced slightly more than 40 percent of the total mortgage volume. Total 1966 servicing volume of this group exceeded $200 million per firm, and by June 30, 1967, two administered portfolios in excess of $500 million each. The prime role of the large mortgage banker is emphasized in Table I. First, he must make rapid adjustments to changing conditions in the sources of funds. The largest mortgage companies have one of the lowest proportions of servicing for life insurance companies. Since the large firms specialize heavily in mortgages with a national secondary market, i.e., FHA and VA mortgages, they had to find new sources of funds when life 152 insurance companies switched preferences to other forms of investment. They found a sub stantially enlarged investment flow from mutual savings banks. These banks, located mainly in New York State and New England, had a high preference for FHA-VA mortgages, but they also preferred to acquire them “off the shelf.” The mortgage banker must also be able to make adjustments in his operating methods. The larger mortgage firms were better equipped in staff, capital, credit lines, and other factors to en large their risk-taking functions by originating such mortgages for their own inventories. They were also frequently in a position to “make a market” for smaller companies by buying mort gages from them for later packaging and sale in large lots to “off-the-shelf” buyers. This combination of shifting sources of funds and changing methods of operations brought substantial benefits to the southern mortgage borrower. Size, resources, experience, and flexi bility enabled the large mortgage banker to move into developing pockets of relative shortage of mortgage funds by either branching, appointment of originating agents, or affiliation with existing firms. As Table I shows, the largest southern mortgage firms were considerably below average in proportion of servicing for life insurance com panies and considerably above for mutual savings banks. Because the latter are heavily concen trated in both New York State and New Eng land, these larger mortgage companies are also well above average in servicing mortgages owned by investors in both areas. The role of the medium- and small-size mort gage banker is not to be overlooked in the chang ing credit needs and sources of funds. Many Chart II L a rg e m o rtg a g e b a n k in g firm s, s e r v ic in g ove r $ 1 0 0 m illio n in m o rtga ge s, a c c o u n te d fo r a lm o s t tw o -th ird s of s e r v ic in g b y firm s h e a d q u a rte re d in the S o u th on D e c e m b e r 31, 1966. Servicing Volume M IL L IO N S O F D O L L A R S 100 0 2000 3000 No. Percent Cos. of Total 33 4.5 24 11.0 $ 5 0 + to 100 Million 19 18.2 siO O +to 2 0 0 Million 14 26.1 Over $ 2 0 0 Million 10 40.2 MONTHLY REVIEW Table I Percent Distribution of Mortgage Servicing Portfolios of Southern Mortgage Bankers at the End of 1966 100 Reporting Mortgage Bankers, by Type of Mortgage Size of Firm in $ Millions Servicing All Firms FHA Insured, 1-4 Family H ousing..................................... 49 FHA Insured, Multi-family H o u sin g...................................2 VA Guaranteed M ortgages.............................................. 25 Conventional, 1-4 Family H ousing..................................... 8 Conventional, Multi-family H ou sin g...................................5 Commercial, Other Than Multi-family H o u sin g.................... 10 Other ..................................................................... 1 96 Mortgage Bankers, by Location of Investor, Investors Headquartered New York S t a t e ..........................................................37 New England ............................................................ 21 Sixth District S t a t e s .................................................... 16 All Other S t a t e s ..........................................................26 Outside the United Sta te s.............................................. * 99 Mortgage Bankers, by Type of Investor Life Insurance Companies.............................................. 46 Mutual Savings B a n k s ................................................. 30 Pension, Retirement, & Trust F u n d s ................................2 Savings and Loan Associations........................................ 4 FNMA ..................................................................... 11 Commercial B a n k s .......................................................3 Your Own In v e n to ry ....................................................3 All Others, Including Individuals..................................... 1 20 & Over 100+ to 50+ to 200 200 100 20+ to 50 Under 53 3 27 49 45 43 52 * 2 20 16 2 5 27 9 3 6 10 23 9 4 16 40 25 15 20 40 16 15 29 35 16 17 32 24 33 15 28 42 34 47 30 41 31 2 2 2 10 6 15 12 8 10 28 10 22 40 1 2 10 2 3 4 1 1 3 5 3 2 1 1 11 1 6 63 15 4 4 13 5 4 5 14 1 49 18 5 5 16 2 *Less than 0.5 percent. of these companies, located in smaller but grow ing southern communities, were long-time cor respondents for the major life insurance company investors. As the trend from single-family to multi-unit residential building developed and as more single-family housing was financed by conven tional mortgages, these firms evidently chose to specialize more in these mortgage types. The same holds true of mortgages on commercial properties. The medium- and small-size com panies also appear to have been relatively more active in developing alternative sources of funds from within the six southern states and from “all other states.” The smallest mortgage companies were evi dently more successful than larger ones in a t tracting a relatively greater share of funds from pension, retirement, and trust funds. They also serviced a higher proportion of FNMA-owned mortgages. The largest and the smallest com panies had the highest proportion of servicing for savings and loan associations. The geographic distribution pattern of servicing portfolios, Table I, suggests that in the case of the smaller com panies a sizable volume of funds may have come from within the region or from adjacent states. NOVEMBER 1967 Savings and loan associations in the South have recently increased their interest in FHA-VA mortgage purchases, not only for diversification, but also because these are viewed as nonrisk as sets for reserve purposes. Medium- and small-size companies had higher proportions of all three types of conventional mortgage servicing than did the largest com panies. As previously noted, the tendency toward specialization was more pronounced among this size group than among the largest companies; in some cases, individuals well versed in particular types of mortgages, such as commercial, left their employment to form their own specialized firms. Growth of Southern Mortgage Banking Slows One of the m^rks of a maturing industry is that the rapid entry and fast growth phase gradually gives way to concentration of the industry into larger firms. Growth may continue, but it is typically slower and capitalization requirements tend to increase. In spite of $9.1 billion mortgages being ser viced by southern mortgage bankers at the end of 1966, the rate of total growth has declined in the 153 1960’s. In the 1950’s, for example, total volume climbed at a compound annual growth rate of 17 percent. Over the seven years, 1959 to the end of 1966, the compound growth rate amounted to only 8 percent. An expected slowing of growth was suggested by two factors noted in Part I: first, a larger share of the South’s mortgage credit requirements was being satisfield by its own local and regional institutions; second, a sharp change occurred in the investment preferences of life in surance companies away from mortgages. The same pattern of slowing growth is present when available data for 1949, 1959, and 1966 for 69 mortgage banking firms are analyzed. Over the 1949-66 period the compound growth rate of these firms was 13.1 percent. Between 1949 and 1959, it was 14.4 percent, but from 1959 to 1966 declined to 11.3 percent. Further examina tion of data for an additional 22 firms, not in operation in 1949 but in business in 1959, re veals a compound growth rate between 1959 and 1966 of 13.7 percent, or 2.4 percent per year higher than that of the older firms during the same period. In contrast to the 22 firms that began opera tions in the 1950’s, only nine respondents began operations in 1960 or later. However, between year-end 1959 and 1966, at least 51 companies known to be in operation on December 31, 1959, went out of business. Some merged with other companies; several sold their servicing accounts and concentrated on real estate, insurance, or other types of related business; a few failed; and others simply discontinued originating and/or servicing mortgages. While these data are incom plete, they are indicative of a maturing industry. Mortgage bankers were asked in the survey to state the relative importance in their growth of four specific factors and to list others of importance but not covered in the four. Twentyseven indicated that purchase of servicing ac counts from others had played some part in their growth. In two-thirds of the cases, however, it amounted to 10 percent or less of their total portfolio growth. Purchase of entire mortgage companies or merger with other companies was listed as a factor in growth by only eight companies. In three cases the contribution was 10 percent or less, but in five it amounted to more than 30 per cent. Purchase of mortgage banking portions of other companies (such as combination real estate, insurance, and mortgage lending firms) was listed by only six companies, five of which indicated its importance as 10 percent or less, and one between 20 and 30 percent. 5 4FRASER Digitized 1for Internal growth was given most frequently as the most important type of growth of 90 firms. Estimates of internal growth as a percentage of respondents’ present servicing volume were: Degree of Importance 100 percent 91 to 99 percent 81 to 90 percent 71 to 80 percent 61 to 70 percent 51 to 60 percent 41 to 50 percent 31 to 40 percent 21 to 30 percent 20 percent and under Number of Firms 56 10 8 3 1 6 3 0 3 0 Five firms listed other factors: 1 Refinancing and purchases 40 to 50 percent 1 Increasing lending areas 40 to 50 percent 3 Investor transferred loans 30 to 40 percent (1) 0 to 10 percent (1) (1) Assignment from FNMA 0 to 10 percent Growth of Assets, Capital and Net Worth, Credit Lines, and Branch Operations In the seven-year period between year-end 1959 and 1966, southern mortgage bankers expanded their capital and net worth by 86 percent. Assets grew only 72 percent. The latter is not so signifi cant, however, since mortgage inventories typi cally account for a large proportion of assets. These in turn are offset almost entirely by ware house loans. Moreover, it is probable that the cutoff date of December 31, 1966, unduly distorts the asset data; the latter half of 1966 was an un settled period in which large sales from uncom mitted inventories were made to FNMA by many mortgage bankers. For example, mortgage hold ings of FNMA on properties in the six states increased by $155.2 m illion, accounting for slightly more than 25 percent of the entire growth in FNMA holdings during the seven-year period. Growth of capital and net worth is what mat ters in mortgage banking. The degree of this growth is significant not only to the individual company and to the industry, but also to the investors and the region the industry serves. Ade quate capital is a major determinant of most of the other functions which risk-taking, flexibility, maturity, and permanency require. Throughout most of the 1950’s mortgage bank ers generally had been unable to add to their capital at rates commensurate with their overall MONTHLY REVIEW growth. Most studies during this period empha sized their newness as financial institutions, their tendency to operate as “correspondents” or “cap tive agencies” of investors, and their under-capi talization. Investors urged them to build capital faster, and so did their legacy of vulnerability in the longer past, their most recent experience in the late 1950’s, and the changing market condi tions of the times. Shifting investment prefer ences of their major suppliers of funds and the sharpened competition of local and regional in vestors under conditions of relatively easy avail ability of funds added to the pressures for taking additional risks in originating and holding mort gages in inventory. Southern mortgage bankers responded to this challenge in differing degrees. On balance, the growth rate of capital and net worth was posi tively correlated with size of firm, but there were substantial exceptions (Table II). Of the total of 77, 31 more than doubled their capi tal accounts. Only six firms showed a reduc tion, the largest of which was 35 percent. South ern mortgage bankers increased the amount of mortgage servicing per dollar of capital from $90 in 1959 to $100 in 1966, according to Table III. The smallest firms were the only ones that de creased their ratio. However, the largest firms increased this ratio by a very small amount, while the firms in the size range of $20+ to $50 million in servicing volume showed the largest rate of increase. Some of the reasons the largest firms require a higher ratio of capital to servic ing volume are that they typically operate more branch offices, provide more services to builder clients (such as construction lending, land de velopment, etc.), and are more heavily involved in servicing single-family residential mortgages. Mortgage bankers were asked to rank four Table II Growth of Capital and Net Worth 77 Mortgage Bankers Year-end 1959-66 Rate of Change (Percent) Size of Servicing Portfolio, December 31, 1966, $ Millions All $20 and $20+ to $50+ to $100+ to Over $200 $100 $200 $50 Firms Under Over 200 100 to 199 50 to 99 25 to 49 Oto 24 - 1 to - 9 — 10 and Over 11 20 15 10 15 2 4 77 NOVEMBER 1967 4 0 5 4 7 0 1 21 1 4 5 3 7 1 1 22 2 6 2 2 0 0 1 13 2 4 2 1 1 1 1 12 2 6 1 0 0 0 0 9 Table III Servicing Volume to Capital and Net Worth 1966 and 1959 1966 Portfolio Size of Company $20 Million and Under $20+ to $50 Million $50+ to $100 Million $100+ to $200 Million Over $200 Million All Companies Number of Companies 1966 24 24 13 12 9 82 Dollar Amount of Mortgages Serviced Per Dollar Capital and Net Worth 1959 1966 1959 19 22 12 12 9 74 72.5 81.3 102.9 152.8 90.0 100.1 88.1 55.2 88.2 137.1 88.2 90.3 policy factors as to relative importance in their growth over the past five years. The most im portant of these, as indicated by response, was “broadening to include more conventional loans, such as commercial and industrial.” Of 68 listing this as a factor, 40 indicated that it ranked first in importance. Forty-five respondents listed “con centrating more heavily upon ‘mortgage banking’ (as opposed to other real estate services, insur ance, etc.).” Of these, 19 ranked it first in im portance. Considerably fewer mortgage bankers empha sized “expansion of range and service functions outside of the origination and servicing of mort gages.” Only 12 of the 36 rated it most important. A somewhat larger number, 42, listed the factor of “becoming more specialized in FHA-VA mort gages and penetrating this sector of the market more deeply” as important. Most of those listing it first in importance were large firms that served extensive geographic areas and operated branches. Operational Methods and Range of Services As has been suggested, one of the reasons that higher capitalization is desirable for mortgage companies is that their function requires risktaking. Just as the investment banker must incur costs and bear risks in discovering, originating, underwriting, and distributing an issue of bonds, so must the modern mortgage banker incur costs and assume risks in originating and inventory ing mortgages. As he has matured and as market conditions have changed, risk-bearing has become an even more important measure of his effective ness. It is true, of course, that the mortgage banker has a couple of risk-limiting factors going for him that the investment banker does not. First, he has the government-insured or guaran teed mortgage, which insurance or guaranty lim its default risk and converts an otherwise ineffici 155 ent capital market instrument into one that has broad acceptability. Second, at most times he has a floor under prices of mortgages eligible for purchase by FNMA, which places some limit on inventory risk. The FHA-VA mortgage, combined with the system of advance commitment by permanent investors, facilitated the rapid growth of mort gage companies in the 1950’s. This expansion, in both numbers of companies and in volume of mortgage servicing, was possible on a relatively small capital base. Thus, it is not surprising that during most of that decade substantially less than half the southern mortgage companies orig inated mortgages without prior commitment. By 1959-60, the proportion was still only about 46 percent (Chart I I I ) . The median volume of mort gage originations without such prior commitment by these companies was only 40 percent of their total volume. Changing market conditions and growth of capital and net worth in the 1960’s made it both necessary and possible for southern mortgage bankers to assume more risk in the originating, inventorying, and selling of mortgages. Substan tial growth in capital base was accompanied by a sharp expansion in credit lines and for many companies by greater flexibility in opening, clos ing, and maintaining branch operations. As a result of these and other factors, the number of companies assuming greater risks through in creasing their “own inventory” originations rose steadily during the 1959-66 period. A similar, though less pronounced, rise occurred in the pro portion of noncommitted originations by these firms. During the current year the median proportion of noncommitted mortgages of those companies making such originations rose to 53 percent. One of the reasons is that FNMA has provided rela tively greater support volume-wise for the FHAVA market than in some prior years; and, of course, mortgages are offered to FNMA “off the shelf.” As one mortgage banker stated, “If you want to stay in business, you have to accept the risk of price changes by both the market and by FNMA and originate without commitment.” A number of mortgage bankers, with the long view and adequate capitalization, have maintained firm price floors in short-term future contracts with builders and others, even under market conditions of rising yields. Southern mortgage bankers have also been willing to assume risks in conventional mortgage originations. Somewhat more than 25 percent of 1 5 6FRASER Digitized for Chart III More mortgage bankers are originating more mortgages with out prior commitments than during the 1950’s. 0 20 I Percent 40 I 60 I 80 I 1959-60 lyoi iyo z. m n , 99 9 F rm s 1963 I5 7 U H 1LG' DA Rj iy d o 15 3 0 / those originating without commitments in 1967 were doing so in conventional mortgages. Higher capitalization has permitted southern mortgage bankers to expand other functions dur ing the 1960’s. For example, in 1959-60, only 56 percent of respondents provided construction loans. By 1967 this proportion had risen to 71 percent. Over one-third of respondents indicated they are now originating high-loan-to-value-ratio conventional loans, involving private mortgage insurance and junior liens. The majority utilize the General Electric Credit Corporation plan. A much smaller proportion of firms, about 8 percent, make loans on “second” or “vacation” homes. Less than 5 percent make loans on mobile homes. Respondents were asked to list any new ser vices or development which their companies had initiated or adopted over the last six years. Most of them listed entry into land development and making land development loans. One firm had been active in joint ventures with builders in land development. Refinement of cost account ing systems for better departmental and branch office management and control was also listed by several companies. Among other replies were expansion of operating territory, heavier empha sis on commercial and industrial loans, pre closed construction-permanent loans, and devel opment of source of funds through public sale of demand notes limited to 10 percent of outstand ing mortgages held by the issuer. MONTHLY REVIEW Present Competitive Position In a free market competition is the spur that produces progress. Southern mortgage banking firms, the least government-regulated of any re gional financial institution, achieved the results reviewed here in a highly competitive atmosphere. On the side of registering the bids of their bor rowing clients in the market for funds, they en joyed a period of ready availability of such funds for a relatively long period between 1961 and 1965. They were thus able to cope with the problem of replacement of a substantial reduc tion in the rate of increase of mortgage funds becoming available from one major investor by finding other buyers of southern mortgages. The same favorable climate for increasing the flow of outside mortgage credit into the South also stimulated more competitors to help provide the channels. Mortgage bankers were asked to evaluate the intensification since 1960 of this competition from commercial banks, from mort gage companies headquartered elsewhere but op erating in their market area, and from other firms such as real estate firms expanding into mortgage banking. Of 94 firms responding, 89 percent in dicated some increase in competition from com mercial banks, while 40 percent had experienced a substantial increase. The same proportion of respondents reported greater competition from mortgage companies headquartered elsewhere. About 44 percent indicated that it was substantial. On the other hand, reflecting higher capital requirements, scarcity of specialized personnel, and other factors, the proportion of respondents experiencing more competition from other types of firms was 39 percent. Only one percent re ported substantially greater competition from this source, while 61 percent had no change or reduced competition. Almost half the respondents—46 percent—an ticipate that competition from commercial banks will rise significantly within six months to a year. Slightly more than one-third—37 percent-—look for such competition from other mortgage com panies through branch or other operations. Less than one-fifth, however, expect significant in creases in competition from other firms. The most frequent response of the latter was that greater competition was expected from direct lending of savings and loan associations. In spite of increased competition, severe re adjustments in the wake of unsettled capital markets, and a sharp recession in housing, only 24 percent of the respondents at midyear 1967 felt that the mortgage banking industry in their markets had been weakened and only 2 percent that it had been weakened significantly. Although 46 percent replied that the industry’s ability to continue as an important member of the South’s family of financial institutions was about the same as before 1966, 29 percent felt that it was somewhat stronger. Only 1 percent felt that it was substantially stronger. What of the Future? The South has made remarkable progress in financing a growing share of its mortgage credit needs from local and regional savings flows. Con sidering its deeply based growth trends in popu la tio n , in d u strializatio n , em ploym ent, and incomes, however, the need for substantial aug mentation of its own savings capacity will most likely continue for many years. As its economy grows more like that of the nation, the need for interregional capital flows may be somewhat re duced as its savings base expands. Given the pattern of sharp differentials in growth rates in urban areas within the region, however, and the spread of industry to smaller centers, the need for intraregional capital flows seems likely to grow further. Moreover, investment diversifica tion requirements of most financial institutions will probably increase. Since it is unlikely that the basic deficiencies of the individual mortgage as a capital market instrument will soon be remedied, capital deficit regions will continue to need specialists in orig inating, inventorying, packaging, selling, and servicing such mortgages. The southern mort gage banker has demonstrated his tactical com petence by his flexibility in adjusting to sharp changes in his environment. He has given reas surance of his longer-run viability by his success in rapidly building his capital, for the most part from internal sources. He has confirmed his ma turity by the volume and quality of his service to his investors and to a fast growing region. H ir a m J. H onea This is the second in a series of articles on the southern mortgage banker. Copies of this article and Part I, which appeared in the October issue, are available upon request to the Research Department, Federal Reserve Bank of Atlanta, Atlanta, Georgia 30303. NOVEMBER 1967 157 S i x t h D i s tr i c t S t a t i s t i c s Seasonally Adjusted (All data are indexes, 1957-59 = IOO, unless indicated otherwise.) Latest Month (1967) One Two Month Months Ago Ago One Year Ago SIXTH DISTRICT 200 Unemployment Rate (Percent of Work Force) . . Avg. Weekly Hrs. in Mfg. (Hrs.) 159 149 108 88 157 150 108 77 157 150 110 83 154 143 110 78 . Sept. . Sept. 2.9 42.1 3.0 42.4 3.1 42.3 2.6 42.7 . Oct. . Oct. 270 205 222 271 200 223r 270 201 197 246 180 174 FINA NC E AND BA N KIN G PRODUCTION AND EM PLOYM ENT Nonfarm E m p lo y m e n t .................... Sept. Manufacturing .......................... Sept. Apparel .................................... Sept. C h e m i c a l s ................................. Sept. Fabricated M e t a l s ....................... Sept. F o o d ........................................... Sept. Lbr., Wood Prod., Furn. & Fix. . . . Sept. P a p e r ........................................Sept. Primary M e t a l s .......................... Sept. Textiles .................................... Sept. Transportation Equipment . . . . Sept. N o n m an utacturing.......................... Sept. C o n s t r u c t i o n ..............................Sept. Farm E m p lo y m e n t.......................... Sept. Unemployment Rate (Percent of Work F o r c e ) ............. Sept. Insured Unemployment (Percent of Cov. E m p . ) .................Sept. Avg. Weekly Hrs. in Mfg. (Hrs.) . . . Sept. Construction C o n t r a c t s * ................ Sept. R e s id e n t ia l................................. Sept. All O t h e r .................................... Sept. Electric Power Production** . . . . Aug. Cotton C o n s u m p t io n * * ....................Sept. Petrol. Prod, in Coastal La. and M iss.**Sept. 136 135 166 130 152 114 103 118 126 104 185 137 133 135 167 131 150 136 135 166 132 152 112 103 118 126 105 178 137 124 54 136 135 163 131 152 114 103 118 126 106 181 137 62 121 68 107 114 131 106 175 133 127 57 4.1 4.1 4.1 3.6 2.5r 40.9 188 179 195 148 107 270 2.5 40.7 159 177 144 145 1.8 2.4 41.3 151 160 144 146 108 274 122 110 250 112 41.8 165 124 199 141 116 211 Personal Income (Mil. $, Annual Rate) Aug. 11,305 ll,2 05 r ll,1 78 r 10,332 194 203 Manufacturing P a y r o lls .................... Sept. 141 183 Farm Cash R e c e i p t s ....................... Sept. 158 141 Loans* . Oct. Oct. 258 230 257 229 256 226 241 224 . Oct. . Oct. . Sept. 196 176 210 193 172 210r 194 174 208 178 163 183 Deposits* 202 135 130 137 128 50 135 130 138 125 62 135 131 137 124 63 131 130 132 3.7 41.4 3.8 40.7 3.5 40.4 3.7 42.0 265 215 217 268 213 225 265 212 223 252 195 198 8,613r 179 236 8,574r 182 159 PRODUCTION AND EM PLOYM EN T Nonfarm E m p lo y m e n t .................... Sept. Manufacturing ...........................Sept. N o n m a n u fa ctu rin g....................... Sept. C o n s t r u c t io n ...........................Sept. Farm E m p lo y m e n t...........................Sept. Unemployment Rate (Percent of Work F o r c e ) ............. Sept. Avg. Weekly Hrs. in Mfg. (Hrs.) . . . Sept. 120 51 FINA NC E AND BA N KIN G Member Bank L o a n s ............. Member Bank Deposits . . . . Bank D e b it s * * ....................... . , Oct. Oct. LO U ISIANA Personal Income (Mil. $, Annual Rate) Aug. 8,706 182 Manufacturing Payrolls . . . . . . . Sept. 143 Farm Cash R e c e i p t s ............. 7,951 171 130 PRODUCTION A N D E M PLO YM EN T ALABAMA INCO M E Personal Income (Mil. $, Annual Rate) Aug. Manufacturing P a y r o lls ....................Sept. Farm Cash R e c e ip t s ....................... Sept. 7,682 175 125 7,572r 177 7,567 177 7,214 174 126 PRODUCTION A N D EM PLO YM EN T Nonfarm E m p lo y m e n t ....................Sept. Manufacturing ...........................Sept. Nor m an u fac tu rin g....................... Sept. C o n s t r u c t io n ...........................Sept. Farm E m p lo y m e n t.......................... Sept. Unemployment Rate (Percent of Work F o r c e ) ............. Sept. Avg. Weekly Hrs. in Mfg. (Hrs.) . . . Sept. 124 121 126 121 55 125 4.8 40.9 4.6 40.5 122 126 120 66 126 119 82 124 123 124 131 47 4.3 40.7 r 4.3 41.3 241 175 223 275 172 125 121 FINANCE AND BA N KIN G Member Bank L o a n s ....................... Oct. Member Bank D e p o s i t s .................Oct. Bank Debits** ..............................Sept. , . , Sept. 128 121 129 132 55 127 119 128 127 62 126 119 127 121 64 124 116 126 141 62 . . Sept. . . . Sept. 5.0 42.5 5.1 41.8 5.5 42.6 4.3 42.7 Member Bank Loans* . . . . . . . Oct. Member Bank Deposits* . . . . . . Oct. Bank D e b it s * / * * .................... , . . Sept. 231 164 172 231 163 171 233 163 184 223 152 165 4,396r 4,491 r Nonfarm Employment . . . . Manufacturing ................. N o n m a n u fa ctu rin g............. C o n s t r u c t io n ................. Farm E m p lo y m e n t................. Unemployment Rate (Percent of Work Force) . . Avg. Weekly Hrs. in Mfg. (Hrs.) M IS S IS S IP P I IN CO M E Personal Income (Mil. $, Annual Rate) Aug. 4,429 216 Manufacturing P a y r o lls .................... Sept. 85 Farm Cash R e c e i p t s ....................... Sept. 212 211 4,094 206 P RODUCTION AND E M PLO YM EN T 240 190 193 240 190 199r 200 INCO M E Personal Income (Mil. $, Annual Rate) Aug. 17,248 Manufacturing P a y r o lls .................... Sept. 249 Farm Cash R e c e i p t s ....................... Sept. 164 17,025r 16,854r 15,590 246 243 237 160 140 149 PRODUCTION AND EM PLOYM EN T Nonfarm E m p lo y m e n t .................... Sept. . . . Sept. . . . Sept. . . . Sept. FINA NC E AND BA N KIN G FLORIDA 1 5FRASER 8 Digitized for 201 IN CO M E FINANCE AND BAN KING Bank D e b its * / * * .................... One Year Ago Sept. Sept. Sept. Sept. . . . . IN CO M E A N D SP EN D IN G Personal Income (Mil. $, Annual Rate) Aug. 58,600 57,978r 57,795r 53,840 Manufacturing P a y r o lls ....................Sept. 201 194 198 134 Farm Cash R e c e ip t s ....................... Sept. 146 129 161 118 147 C r o p s ........................................Sept. 99 174 L iv e sto c k .................................... Sept. 161 156 144 152 Instalment Credit at Banks* (Mil. $) 264 322 302r 298 New L o a n s ................................. Sept. 265 Repayments ..............................Sept. 268 270 256 One Two Month Months Ago Ago Latest Month (1967) 151 151 151 145 Unemployment Rate (Percent of Work Force) . . Avg. Weekly Hrs. in Mfg. (Hrs.) Sept. Sept. Sept. Sept. Sept. 138 144 135 132 38 137 143 135 131 49 137 143 135 128 58 137 147 132 145 47 Sept. Sept. 5.3 40.8 5.0 40.1 5.3 39.9 5.0 41.2 Oct. Oct. Sept. 314 232 215 306 231 220 310 231 202 291 216 198 FINA NC E AND BA N KIN G MONTHLY REVIEW Latest Month (1967) One Month Ago Two Months Ago One Year Ago T E N N E S SE E INCO M E Personal Income (Mil. $, Annual Rate) Aug. 9,230 Manufacturing Payrolls . . . . . . . Sept. 197 107 Farm Cash R e c e ip t s ............. 9,167 197 139 9,131r 191 126 8,659 191 107 One Latest Month (1967) N on m an u factu rin g................. C o n s t r u c t io n .................... Farm E m p lo ym e n t.................... Unemployment Rate (Percent of Work Force) . . . Avg. Weekly Hrs. in Mfg. (Hrs.) . . . Sept. Two Month Ago One Months Ago Year Ago 133 157 58 133 157 67 133 153 69 131 158 66 4.2 40.6 4.3 40.2 4.5 39.7 3.2 41.3 254 186 232 245 182 207 239 181 231 237 171 209 FINANCE AND BA N KING PRODUCTION AND EM PLOYM ENT Nonfarm Employment . . . . Manufacturing ................ . . . Sept. 136 142 136 143 136 142 136 145 Member Bank L o a n s * ............. Member Bank Deposits* . . . . Bank D e b i t s * / * * .................... . . Oct. . . Oct. *For Sixth District area only. Other totals for entire six states. **Daily average basis. r-Revised. Sources: Personal income estimated by this Bank; nonfarm, mfg. and nonmfg. emp., mfg. payrolls and hours, and unemp., U. S. Dept, of Labor and cooperating state agencies; cotton consumption, U. S. Bureau of Census; construction contracts, F. W. Dodge Corp.; petrol, prod., U. S. Bureau of Mines; industrial use of elec. power, Fed. Power Comm.; farm cash receipts and farm emp., U.S.D.A. Other indexes based on data collected by this Bank. All indexes calculated by this Bank. D e b its to D e m a n d D e p o s it A c c o u n ts Insured Commercial Banks in the Sixth District (In T h o u s a n d s o f D o lla r s ) Sept. 1967 Aug. 1967 Percent Change Percent Change Year-to-date 9 mos. Sept. 1967 from 1967 Sept. Aug. Sept. from 1966 1967 1966 1966 Year-to-date 9 mos. Sept. 1967 from 1967 Sept. from Sept. Aug. 1967 1966 1966 1966 STANDARD METROPOLITAN STATISTICAL A REA Sf Birmingham . . . Gadsden ............. Huntsville . . . . Mobile ............. Montgomery . . . Tuscaloosa . . . . 1,446,944 60,365 170,808 455,965 320,040 93,215 l,534,472r 64,612 193,104 522,778 333,933 102,120 l,384,857r - 6 64,171r - 7 180,010r - 1 2 416,606r -1 3 289,195r - 4 83,410 -9 +4 -6 -5 +9 + 11 + 12 +8 -5 +0 +7 +3 +9 576,551 1,427,445 2,200,773 470,560 187,237 135,612 587,408 l,526,081r 2,275,208r 538,311 199,575 151,291 528,878r - 2 l,361,298r - 6 l,868,937r - 3 460,591r - 1 3 184,075r - 6 121,481 - 1 0 +9 +5 +18 +2 +2 + 12 +8 +5 + 10 +7 +9 +14 1,292,692 370,718 l,325,198r 384,389 l,117,997r 339,668r -2 -4 + 16 +9 +10 +3 Albany ............. Atlanta ............. A u g u s t a ............. Columbus . . . . Macon ............. Savannah . . . . 89,881 4,599,060 275,339 221,362 252,432 250,426 87,505 4,784,437 310,507 236,462 261,107 276,884 97,885 +3 4,174,710r - 4 272,848r -1 1 209,736r - 6 224,27 lr -3 238,470r - 1 0 -8 + 10 +1 +6 + 13 +5 -4 +8 + 10 + 10 + 11 +9 Baton Rouge Lafayette . Lake Charles New Orleans 509,271 116,335 143,051 2,187,869 516,149 126,289 147,557 2,369,108 483,266r 115,352 138,931 2,218,506r -1 -8 -3 -8 +5 +1 +3 -1 + 10 +4 + 12 +2 611,512 652,518 591,272r -6 +3 +9 574,023 451,055 1,619,786 590,569 469,205 1,541,642 553,253r 433,336r l,485,290r -3 -4 +5 +4 +4 +9 +6 +6 + 18 Anniston . . . . Dothan ............. S e l m a ................. 62,916 64,830 47,614 67,027 60,471 57,820 -6 +7 -1 8 -3 +5 + 11 +1 + 10 + 14 Bartow ............. Bradenton . . . . Brevard County . . Daytona Beach . . Ft. Myers— N. Ft. Myers . . Gainesville . . . . 31,687 62,059 195,169 81,870 31,536 62,249 220,536 86,964 39,012 +0 59,225 -0 199,292r -1 2 77,279 -6 -1 9 +5 -2 +6 -7 +21 +5 +7 -4 +7 + 12 +1 +9 +7 Ft. LauderdaleHollywood . . . Jacksonville . . . M i a m i ................ O r l a n d o ............. Pensacola . . . . Tallahassee . . . Tam paSt. Petersburg W. Palm Beach . . Jackson . . . . . . . . . . . . ............. Chattanooga . . . Knoxville . . . . Nashville . . . . OTHER C E N T ERS 71,442 84,336 74,177 78,854r 64,676 61,655 42,822 63,856 83,411 ‘ Includes only banks in the Sixth District portion of the state. NOVEMBER 1967 fPartially estimated. Sept. 1967 Aug. 1967 -3 107,190 29,403r + 4 51,897 -5 19,298 -1 1 -6 254,078 90,144r - 4 -0 610,697 +8 52,507 +3 + 16 +2 -8 +14 +3 +16 +1 +4 +5 +4 +1 +11 +1 +8 +1 80,661 38,791 81,550 15,838 68,543 31,674 24,028 22,118 72,076 50,254 -1 +0 -1 -1 2 -1 1 +7 +8 +2 —6 -9 -1 2 +6 -2 +2 -2 + 14 -6 +13 -4 +28 +4 +5 -4 +11 +5 +6 -5 +1 +0 +17 11,965 134,368 6,793 36,425 39,846 11,430 21,799 13,216 116,582 6,169 36,258 34,986 10,832 21,106 +4 -7 -1 2 + 18 -1 5 -1 0 -5 -6 +7 -3 + 19 -3 -5 -2 +2 +13 +19 + 17 -0 +11 +2 98,216 51,994 31,523 61,553 34,868 104,495 56,872 32,779 66,751 38,873 92,963 55,950 34,516 62,141 33,451 -6 -9 -4 -8 -1 0 +6 -7 -9 -1 +4 +9 +1 -5 +2 +6 53,668 39,543 25,402 55,321 42,427 51,164 51,506 40,545 25,739 -3 -7 -5 0 +4 -2 -1 +8 +3 +4 75,336 72,112 141,548 78,775 73,733 157,095 71,419 66,247 142,606 -4 -2 -1 0 +5 +9 -1 +4 +8 +5 30,982,312r 27,125,481r -7 +6 +7 3,631,057r 7,699,520 6,946,930r 3,792,474r 1,293,351r 3,762,149r -9 -9 -8 -6 -9 -3 +7 +11 +4 -1 +3 +6 +7 +8 +7 +3 +8 +11 109,980 33,988 52,887 17,777 290,655 93,204 705,834 53,029 113,723 32,829 55,960 19,934 307,166r 96,923 706,984 49,058 Athens ............. Brunswick . . . . Dalton ............. E lb e r t o n ............. Gainesville . . . . G r i f f i n ................ LaGrange . . . . Newnan ............. R o m e ................ V a l d o s t a ............. 70,680 41,278 80,068 16,166 67,507 35,993 22,543 24,919 69,414 64,099 71,676 41,241 81,216 18,342 75,468 33,574 20,877 24,318 73,514 70,506 Abbeville . . . . Alexandria . . . . Bunkie ............. Hammond . . . . New Iberia . . . . Plaquemine . . . Thibodaux . . . . 12,412 124,755 5,960 42,983 33,899 10,287 20,680 Biloxi-Gulfport . . Hattiesburg . . . Laurel ............. Meridian . . . . N a t c h e z ............. Pascagoula— M oss Point . . . Vicksburg . . . . Yazoo City . . . . B r i s t o l ................ Johnson City . . . Kingsport . . . . Lakeland . . . . Monroe County . . O c a l a ................ St. Augustine . . St. Petersburg . . S a r a s o t a ............. Tampa ............. Winter Haven . . SIXTH DISTRICT, Total 28,712,696 Alabam a! . . . . F l o r i d a ! ............. Georgia! . . . . Louisiana!* . . . M ississippi!* • ■ • Tennessee!* . . . 3,869,491 8,519,704 7,251,038 3,756,983 1,336,346 3,979,134 {Estimated. 4,246,282r 9,339,478r 7,853,322 3,989,398 1,469,852 4,083,980 r-Revised. 159 D is tric t B u s in e s s C o n d it io n s Expansion in most sectors exemplifies the District’s economy. Retail spending continued to advance slowly, despite the sharp increase in consumer incomes. Manufacturing employment rose again, in the face of adverse developments. Bank credit expanded at a lively pace in October, but the construction sector showed somewhat less vigorous signs of recovery. Both cash receipts and net farm incomes may fall below those of last year. July and August retail sales in the District were level to slightly declining, reflecting in part de pressed automobile sales prior to the new model year announcements. In September, new car sales, up only slightly, were probably held back by the auto strike. Outstanding consumer credit at banks rose only fractionally in September, compared with a steady advance in personal in come through the first eight months of the year. Little change occurred in the size of the Dis trict states’ work force and unemployment rate. A small gain in manufacturing employment and a longer workweek boosted payrolls, in spite of an auto strike and layoffs. Jobs in apparel and chemical industries increased more than other manufacturing industries. Louisiana led other District states in both manufacturing and non manufacturing gains. Large commercial banks were busy suppliers of credit in October, with much of the activity being influenced by recent Treasury borrowings. Loans to securities dealers sparked a moderately strong gain in total loans while holdings of short-term U.S. Governments in banks’ own port Digitized for 1 6 0FRASER folios rose sharply. Deposit expansion at both Reserve city and country banks resulted from gains in demand deposits and passbook savings, extending an emerging trend. After achieving record dollar volume in August, construction contracts retreated sharply in Sep tember. Following four straight months of ex panded volume, residential contracts declined. An even sharper decrease occurred in other types of construction. The exceptionally vigorous non residential contracting last autumn and the erratic nature of its volume make current inter pretation difficult, but it appears that overall recovery in construction is continuing. Lower yields are expected in some District crops. The projected output for oranges and grapefruits in Florida is well below last year’s. Cotton yields will drop for the second consecu tive year, but corn and soybeans production will exceed 1966 levels. Total farm cash receipts will probably be lower than those received last year. N O T E : Data on w h ic h sta t e m e n ts are b a se d h a ve been a d ju ste d w h e n e v e r p o s s ib le to e lim in a te s e a s o n a l in flu e n c e s. MONTHLY REVIEW