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February 1,1994

eOONOMIG
GOMMeNTORY
Federal Reserve Bank of Cleveland

Are Service-Sector Jobs Inferior?
by Max Dupuy and Mark E. Schweitzer
U.S. manufacturers eliminated 65,000
more jobs than they added last month.
There was growth overall — nonmanufacturing employment rose by
198,000 jobs — but these service-sector
jobs are precisely the lower-paying,
benefit-scarce "hamburgerflipping"
kind that candidate Clinton scorned as
not good enough to spark the American
economic renewal he promised.

In this Economic Commentary, we argue
that the service-producing industries now
offer wage opportunities very similar to
those in manufacturing and construction.
This finding holds for both broad and narrow industry classifications, as well as
for young workers. We do, however, see
a larger difference between wages in the
goods- and service-producing sectors for
workers with only a high school diploma.

—The Washington Post, May 13, 1993*

A n recent years, U.S. service-producing
industries have, on net, added jobs more
rapidly than the goods-producing industries. Since the end of 1990, jobs in
the service-producing sector have increased 4.1 percent overall, while goodsproducing employment has shrunk 5.6
percent." During the same period, total
nonfarm employment has risen 1.9 percent. A number of commentators have
used these basic statistics to paint a bleak
picture: The economy is creating some
new jobs and employing a few more
people, but only in low-wage service positions; meanwhile, the old high-wage
manufacturing jobs are disappearing.
This characterization is inappropriate
for three reasons. First, it takes for
granted a largely unfounded assertion
that service jobs pay considerably less
on average than manufacturing jobs.
Second, it focuses on average wage differences, which are trivial compared to
the wide range of salaries available in
either sector. Third, it implies that new
entrants to the labor force—young
workers—are limited to finding jobs in
the industries with net job creation. In
reality, gross job creation is the correct
measure of the availability of work in
any sector.

ISSN 0428-1276

• Goods-Producing vs. ServiceProducing Jobs — An Overview
It is unreasonable to describe serviceproducing employment, which accounts for nearly 80 percent of U.S.
nonfarm jobs, as "lower paying." In
1992, the average weekly wage for fulltime workers in this sector was only
3.9 percent below the average goodsproducing wage/
However, average wages can be misleading, since they often draw attention
to the small difference between very
similar pay ranges. Figure 1 compares
the distribution of wages in the goodsproducing sector to that in the serviceproducing industries. These distributions
have been smoothed to stress a point:
Although the average service wage is
less than the mean goods-producing
wage, the overlap of the two distributions is enormous. At almost any wage
rate, there is nearly the same proportion
of workers in both sectors.
Furthermore, the two distributions have
been moving closer since about 1980.
Figure 2 plots the difference between
the median goods-producing wage and
the median service-producing wage. The
median is a more appropriate measure
than the average because, in nearly all
industries, a few people earn relatively

Misconceptions about the relative
quality of jobs available to workers in
various industries abound. One of the
most difficult to dispel is the idea that
jobs in the goods-producing sector
are uniformly superior. Over the last
15 years, goods-producing wages
have fallen as service-sector pay has
increased, with the result that service
workers now generally earn about the
same as their counterparts in manufacturing. Consequently, policy that
favors goods-producing employment
is not necessarily a sensible strategy
for generating high-wage opportunities for American workers.

large amounts while most workers cluster around some lower wage. This is
evident in the asymmetric shape of the
distributions in figure 1. The high
wages of the top-paid minority tend to
pull the average above what the majority earns. The median, in contrast, is a
better measure of what most workers in
a sector are paid. In any given year, exactly half of all workers earn more than
the median, while half earn less.
For most of the 1970s, a median
worker in the goods-producing industries consistently earned about 13 percent more ($59 per week in 1992 dollars) than the median service worker.
Since then, falling goods-producing
wages and rising service-producing
pay have conspired to narrow the gap.
In 1992, the median service job paid
$19 per week less than the median
goods-producing job — down from a
1979 difference of $82 (also in 1992

dollars). Still, the perception remains
that goods-producing jobs pay better.
• Comparing Narrower Industries
The two major employment sectors described above can be further broken down
into eight specific industries—two goodsproducing and six service-producing.
These industries have a range of differently shaped wage distributions, as described in table I.5 The 10th percentile is
simply the wage that the lowest-paid 10
percent of workers fall below. The 90th
percentile is the wage that the highestpaid 10 percent surpass.
Clearly, workers' wages depend in part
on which industry employs them. There
are two reasons for this. First, individuals
choose to work in particular industries
for reasons other than pay. Such considerations include prestige, opportunities
for advancement, and appeal of the actual
work. If an industry is not generally preferred by the labor force, then managers
may have to pay a premium to attract employees. Second, some industries need
workers with advanced skills, experience,
or education. Individuals who possess
these characteristics command extra pay
from the industries that benefit from their
special abilities.
Service-producing industries are quite
diverse, ranging from retail trade,
which paid a 1992 median weekly
wage of $340, to transportation and
public utilities, with a median wage of
$605. Furthermore, there is significant
wage variation within each of the six
service categories. For example, a 90th
percentile employee in the finance, insurance, and real estate (FIRE) industry earns a whopping 151 percent more
than the median FIRE worker. The 90th
percentile for retail trade is 126 percent
above the industry median.
In contrast, wages in the two major
goods-producing industries — manufacturing and construction — are somewhat more narrowly distributed. In
manufacturing, the 90th percentile
wage is only 110 percent higher than
the median, and for construction, the
comparable figure is just 100 percent.
This is an important point. The goods-

FIGURE 1 1992 WAGE DISTRIBUTIONS

^Goods-producing

0

200

400

600
800
1,000
Weekly wages (dollars)

1,200

1,400

FIGURE 2 DIFFERENCE BETWEEN GOODS- AND
SERVICE-PRODUCING MEDIAN WEEKLY WAGE
1992 dollars
80

1974 1976 1978 1980 1982 1984 1986 1988 1990 1992
SOURCE: Authors' calculations based on data from the U.S. Department of Labor, Bureau of Labor Statistics.

producing sector does offer a few more
dollars per week at the median, but
many of the highest-paying opportunities are found in the service sector.
Note that at the 90th percentile, only retail trade pays less than the goodsproducing sector.
So, if wage opportunities are not substantially different, why favor goodsproducing jobs over high-wage service
employment? One possible answer is that
for certain groups of workers — especially the young or relatively uneducated
— the goods-producing sector does in
fact offer unique opportunities.
• Young Workers
In order to determine whether the differences between goods- and serviceproducing wages are more pronounced
for young workers than for the workforce as a whole, it is important to ask
what kinds of jobs workers entering the
labor force are taking.
Unfortunately, the most widely cited employment statistics do not supply the
answer. Each month, the BLS reports
which industries are creating new jobs on

net. For example, it recently announced
that insurance industry employment decreased by 1,000 in January, while primary metal manufacturing jobs were up
by 300. This, of course, does not mean
that insurance firms laid off precisely
1,000 people and primary metal manufacturers hired only 300. These are just the
changes at the margins of large industries
— insurance firms employ 2.1 million
people and primary metals manufacturers
employ 0.7 million.
Net employment figures likewise fail
to convey useful information about the
jobs that recent entrants to the labor
force are taking. For instance, in the insurance and primary metals example
above, it is impossible to know the age
or experience of workers being hired
and laid off. In particular, it is unclear
whether young workers are finding
jobs in primary metals rather than in
insurance, even though net employment flows are greater in the former.
Again, the alternative is to look at wage
distributions, focusing on where young
Americans are employed. Table 2 reports
the 1992 salaries of workers between the
ages of 25 and 30—individuals who

TABLE 1

1992 WEEKLY WAGES IN THE EIGHT MAJOR INDUSTRIES

Goods-producing
Construction
Manufacturing
Service-producing
Retail trade
Narrow services
Wholesale trade
FIRE
Public
administration
Transportation
and utilities
TABLE 2

90th
Percentile

$500
481
500
481
340
472
500
498

$1,019
962
1,049
1,000
769
1,019
1,091
1,250

27.9%
6.2
21.7
72.1
13.7
31.7
4.5
7.4

308

579

1.038

6.3

288

605

1,050

8.6

10th
Percentile
$231
230
231
212
173
210
249
250

648
650

1992 WEEKLY WAGES FOR WORKERS AGE 25 TO 30

Goods-producing
Construction
Manufacturing
Service-producing
Retail trade
Narrow services
Wholesale trade
FIRE
Public
administration
Transportation
and utilities
TABLE 3

Share of
Employment

Median

Mean
$587
565
593
564
425
563
611
636

10th
Percentile

Median

90th
Pereentile

Share of
Employment

$213
195
217
208
182
204
260
250

$417
391
423
415
327
417
422
433

$750
738
750
738
652
719
760
769

26.7%
6.8
19.9
73.3
17.2
30.8
4.8
7.9

308

500

817

4.9

235

495

865

7.7

1992 WEEKLY WAGES FOR WORKERS WITH
ONLY A HIGH SCHOOL DIPLOMA
10th
Percentile

Goods-producing
Construction
Manufacturing
Service-producing
Retail trade
Narrow services
Wholesale trade
FIRE
Public
administration
Transportation
and utilities

90th
Percentile

Share of
Employment

$846
899
827
750
673
615
885

231

$462
481
456
385
313
343
459
386

692

33.9%
8.0
25.9
66.1
16.6
23.0
5.0
6.5

280

481

810

5.1

269

577

922

10.0

$231
244
231
192
173
185
231

Median

NOTE: Share of employment refers to our sample, which excludes mining and agricultural workers and Ihose
who work less than 35 hours per week.
SOURCE: Authors' calculations based on data from the U.S. Department of Labor, Bureau of Labor Statistics.

have generally completed their schooling
and have entered the work world. The
most striking aspect is the generally
lower paychecks of young workers relative
to the employed labor force as a whole, a
phenomenon that can be traced in part to
older workers' greater experience.

However, we want to look beyond the
wage effects of experience and concentrate on whether young workers currently encounter an abnormally large
wage gap between the goods- and
service-producing sectors. A relatively
substantial difference might indicate
that they face worsening employment

opportunities. For 25- to 30-year-olds,
the median goods-producing wage was
only 5 percent higher in 1992 than the
median service-producing wage, compared with a 4 percent gap for the entire workforce. This implies that goodsproducing jobs are not particularly
more lucrative for young workers.
In terms of actual employment, table 2
shows that young workers are split
among the eight major industries in
nearly the same proportions as the overall working population. This is a sign that
jobs are indeed available for new workers in the shrinking goods-producing sector. It also indicates that some young
workers are finding higher-paying service jobs. Though a slightly inflated proportion of young workers are employed
in retail trade (the lowest-paying major
industry), this does not justify a policy
preference for goods-producing employment. After all, high wages are desirable
no matter who is paying them.
• High School Graduates
We have seen that the wage gap between
goods- and service-producing jobs is negligible, even for young workers. But
there is an exception worth noting. Given
the growing importance of advanced education, particularly in certain service industries, goods-producing jobs may represent a more critical source of higherpaying positions for workers with only a
high school degree. Indeed, the goodsproducing sector accounts for a relatively large 33.9 percent of all employment for this group (see table 3). Even
more important, high school graduates'
median wage is a hefty 20 percent higher
in goods-producing jobs than in the service sector (as opposed to only 4 percent
higher for the general labor force).
The goods-producing industries also
offer those without advanced education
some of their best opportunities for high
pay. For the overall workforce, the 90th
percentile wage for goods-producing
industries is only 1.9 percent higher
than for the service-producing sector.
In contrast, for high school graduates,
the difference at the 90th percentile is
12.8 percent.

•

Conclusion

Clearly, the "hamburger flipping" characterization of service jobs is inaccurate.
The real issue is matching workers to
their best wage opportunity. The goodsproducing sector does not always offer
the best wages for every worker — a
wide range of high-paying jobs is also
available in the service-producing side
of the economy. Furthermore, there is a
surprising degree of overlap between
weekly wages in the two sectors, such
that even milder characterizations of
service jobs as inferior are not borne
out in the data.
The one group that appears to benefit
from more goods-producing jobs is
less educated workers. However, this is
not an adequate argument for designing a policy that would shift the distribution of employment opportunities
toward goods production. Instead, it
suggests once again the importance of
educating Americans to meet employers' needs.

Federal Reserve Bank of Cleveland
Research Department
P.O. Box 6387
Cleveland, Ohio 44101
Address Correction Requested:
Please send corrected mailing label to
the above address.
Material may be reprinted provided that
the source is credited. Please send copies
of reprinted materials to the editor.

• Footnotes
1. See Jim Hoagland, "It's Jobs, Remember?"
The Washington Post, May 13, 1993, p. A27.
2. The Labor Department's Bureau of Labor Statistics (BLS) classifies all nonfarm
jobs as either goods-producing or serviceproducing. The monthly BLS employment
statistics are often misinterpreted by the media: Service-producing jobs are frequently
referred to simply as service positions, while
goods-producing jobs are often mistakenly
identified as "manufacturing." We follow the
BLS classification scheme, in which the
goods-producing sector includes not only
manufacturing, but also construction and
mining. The service-producing side of the
economy covers six major subindustries:
"narrow" services (comprising business services, health services, and traditional service
positions such as hotel jobs); retail trade; public administration; wholesale trade; finance,
insurance, and real estate; and transportation
and public utilities. The cited changes occurred between December 1990 and December 1993.
3. We use data from the BLS's March Current Population Suivey, which includes yearly information on a sample of nearly 60,000 households. All wage statistics refer to the weekly
wages of full-time workers (those who work

more than 35 hours per week, not necessarily
at only one job). The workweek for full-time
workers is concentrated at 40 hours, so a
comparison of weekly wages yields results
very similar to a comparison of hourly wages.
4. In raw form, the distributions have jagged
shapes because wages tend to group around
certain whole and fractional dollar amounts.
5. We exclude mining because its relative
employment share is so small that the CPS
data cannot accurately describe it.
6. Gross employment flows are typically
much greater than net employment changes
in most industries. See S. Davis and J. Haltiwanger, "Gross Job Creation, Gross Job Destruction, and Employment Reallocation,"
Quarterly Journal of Economics, vol. 108,
no. 3 (August 1992), pp. 819-64.

Max Dupuy is a research assistant and
Mark E. Schweitzer is an economist at the
Federal Reserve Bank of Cleveland.
The views stated herein are those of the
authors and not necessarily those of the Federal Reserve Bank of Cleveland or of the
Board of Governors of the Federal Resenv
System.

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