Gross domestic product by industry for 2002.
Yuskavage, Robert E. ; Strassner, Erich H.
ON April 17, 2003, the Bureau of Economic Analysis released new
estimates of gross domestic product (GDP) for 10 broad industry groups
for 2002. These estimates, which incorporate data for 2002 from the
national income and product accounts (NIPA's) and other sources,
provide the first broad view of how industry groups, such as
manufacturing and services, contributed to last year's economic
rebound. The GDP-by-industry estimates are value-added measures that are
based on the NIPA components of gross domestic income.
The release of these estimates in April--7 months ahead of the
regular release of the GDP-by-industry estimates--was one of the goals
in BEA's strategic plan to provide more timely data from the
industry accounts. In June 2002, BEA reported on the research that led
to a prototype methodology for the accelerated estimates and provided
illustrative current-dollar estimates for 2001 for industry groups. (1)
This year, real (inflation-adjusted) estimates of GDP-by-industry are
also provided. Recent budget increases have enabled BEA to provide both
the current-dollar and real estimates on an accelerated schedule, and
continuation of this funding will sustain the research into expanding
and improving the accelerated estimates.
Highlights of the accelerated estimates for 2002 include the
following:
* Real GDP growth increased 2.4 percent after an increase of 0.3
percent in 2001. Real GDP in private services-producing industries,
which account for about two-thirds of GDP, led the broad-based economic
growth, increasing 2.8 percent; real GDP in private goods-producing
industries, which account for about one-fifth of GDP, increased 1.3
percent. (2)
* Real GDP increased in all of the 10 major industry groups, but
the gains were very small for 2 of the private goods-producing industry
groups.
* Real GDP growth in retail trade increased 5.9 percent. Electric,
gas, and sanitary services (in the transportation and public utilities
industry group) and wholesale trade also increased sharply.
* Growth in manufacturing (1.8 percent) was mixed; relatively
strong growth in nondurable-goods manufacturing (4.3 percent) offset a
slight decline in durable-goods manufacturing (-0.1 percent).
The estimates presented in this article are more limited in scope
than the full set of annual GDP-by-industry estimates, which are usually
released in November and which present detailed estimates for 66
industries and estimates of the components of current-dollar GDP by
industry, gross output, and intermediate inputs. (3) BEA prepared these
accelerated estimates with limited source data and an abbreviated
methodology that differs from the regular, more extensive methodology.
This article is presented in three parts. The first part discusses
the relative performance of industry groups. The second part provides a
brief description of the methodology, reviews the research that led to
the development of the prototype methodology, and describes the
extensions of that research to address issues raised in last year's
article. The third part discusses future initiatives that could lead to
the expansion and improvement of the accelerated estimates.
Industry Performance
The relative performance of industry groups can be assessed by
examining their real growth rates, their contributions to real GDP
growth, their shares of current-dollar GDP, and their contributions to
the change in GDP prices.
Real growth rates and contributions In 2002, growth in real GDP
increased to 2.4 percent from 0.3 percent in 2001. Private industries,
which account for 87 percent of GDP, increased 2.5 percent, and
government increased 1.9 percent. Economic growth in 2002 was led by the
private services-producing sector, which increased 2.8 percent; growth
in the private goods-producing sector increased 1.3 percent (table A).
In the NIPA's, real GDP for "services" increased 2.8
percent, the same increase as that in the services-producing sector of
the GDP-by-industry estimates. Real GDP for "goods" increased
3.3 percent, much faster than the goods-producing sector of the
GDP-by-industry estimates, which excludes the wholesale trade and retail
trade industries. (4)
Real GDP in all five major industry groups in the
services-producing sector increased. Retail trade led with an increase
of 5.9 percent. Electric, gas, and sanitary services (5.6 percent),
within the transportation and public utilities group, and wholesale
trade (5.0 percent) also increased sharply. Both finance, insurance, and
real estate (FIRE) and services grew relatively slowly (1.6 percent).
The growth in services was restrained by weakness in the business and
professional services industries, which includes software production.
Within the goods-producing sector, real GDP in all four major
industry groups increased. Real GDP in manufacturing increased 1.8
percent, as a 0.1-percent decline in durable-goods manufacturing that
was caused by weakness in the industries that produce information and
communications technology equipment was offset by a 4.3-percent increase
in nondurable-goods manufacturing. Mining increased 1.4 percent.
The acceleration of real GDP growth in 2002 can be examined in
terms of the changes in each industry group's contribution to real
GDP growth. (5) About two-thirds of the economic rebound in 2002 was
accounted for by the goods-producing sector, whose contribution to real
GDP growth swung from -1.0 percentage point in 2001 to 0.3 percentage
point in 2002 (table B). The upswing primarily reflected an upturn in
nondurable-goods manufacturing, whose contribution increased 0.8
percentage point (from -0.5 percentage point to 0.3 percentage point).
Durable-goods manufacturing's contribution increased 0.5 percentage
point (from -0.5 percentage point to 0.0 percentage point).
The private services-producing sector accounted for about a third
of the economic rebound, as its contribution increased 0.7 percentage
point (from 1.2 percentage points to 1.9 percentage points). The largest
upswings in contributions from 2001 were in wholesale trade and in
transportation and public utilities (0.3 percentage point each). These
increases were partly offset by FIRE, whose contribution declined 0.3
percentage point.
Current-dollar levels and shares
Current-dollar GDP and gross domestic income (GDI) both increased
3.6 percent in 2002. In the NIPA estimates, strong increases in
corporate profits with inventory valuation and capital consumption
adjustments (7.6 percent), net interest (5.3 percent), and
proprietors' income with inventory valuation and capital
consumption adjustments (3.9 percent) offset slow growth in compensation
of employees (1.7 percent). In the GDP-by-industry estimates, which are
based on the components of GDI, GDP in private industries increased 3.4
percent, and GDP in government increased 5.0 percent (computed from
table 1).
The effects of current-dollar growth in 2002 are reflected in the
changes in current-dollar shares of GDP by industry. (6) The share of
GDP accounted for by private industries declined slightly from 87.3
percent in 2001 to 87.1 percent in 2002, while government's share
increased slightly from 12.7 percent to 12.9 percent (table C).
The goods-producing sector's share of GDP continued its
downtrend, falling from 21.6 percent to 21.1 percent. The decrease was
widespread, but it was led by a decline in the share of durable-goods
manufacturing from 8.1 percent to 7.8 percent. The services-producing
sector's share of GDP continued its uptrend, rising from 66.8
percent to 67.1 percent. The increase was primarily due to FIRE, whose
share increased from 20.6 percent to 20.9 percent.
Price change and contributions
The growth rate in an industry's GDP-by-industry (value-added)
price index indicates the extent to which its prices of labor and
capital services are changing relative to economywide price change. (7)
Changes in value-added prices also reflect changes in productivity,
which affect an industry's unit labor costs and unit capital costs.
Growth in GDP prices decelerated from 2.4 percent in 2001 to 1.1 percent
in 2002 (table D). Value-added price growth slowed for both private
industries and government.
Value-added prices for the goods-producing sector declined 0.3
percent in 2002. Mining declined the most (-12.6 percent), primarily
because of a sharp drop in natural gas wellhead prices. Value-added
prices for the manufacturing industry group were unchanged because of
offsetting changes within the manufacturing subgroups. Value-added
prices for nondurable-goods manufacturing declined 0.4 percent, while
value-added prices for durable-goods manufacturing increased 0.3
percent.
Value-added price growth for the services-producing sector slowed
to 1.3 percent in 2002. Prices declined sharply for electric, gas, and
sanitary services (-3.3 percent), transportation (-1.9 percent), and
retail trade (-1.6 percent). Prices for FIRE increased 3.5 percent in
2002, partly reflecting strong increases in the prices for the insurance
carriers industry and for nonfarm housing services in real estate.
The deceleration in GDP price growth from 2.4 percent in 2001 to
1.1 percent in 2002 can be examined in terms of changes in the industry
contributions to this growth. (8) The contribution of the
goods-producing sector declined 0.4 percentage point, from 0.3
percentage point in 2001 to -0.1 percentage point in 2002 (table E). The
decline primarily reflected decreases in the contributions of
nondurable-goods manufacturing, mining, and construction (-0.2
percentage point each). The contribution of the services-producing
sector declined 0.5 percentage point, from 1.4 percentage points to 0.9
percentage point. The decline primarily reflected 0.4-percentage-point
decreases in the contributions of services and of electric, gas, and
sanitary services.
In 2002, GDP price growth was primarily fueled by a
0.7-percentage-point contribution by FIRE and a 0.5-percentage-point
contribution by services. Within the goods-producing sector, a
0.1-percentage-point contribution by construction was the only positive
contribution to GDP price growth.
Methodology and Research
Last June, BEA reported on its research to develop estimates of GDP
by industry on an accelerated schedule. Speeding up the release of the
input-output, GDP-by-industry, and capital-flow accounts were among the
initiatives for the industry accounts in BEA's strategic plan. (9)
Developing a prototype methodology for accelerated estimates of GDP by
industry was identified as one of the first major steps in testing the
feasibility of these initiatives. This section briefly describes the
methodology used to prepare the accelerated estimates for 2002,
summarizes and updates the key research findings reported in last
year's article, and discusses how the research has been extended in
order to better understand the behavior of the real estimates.
Methodology
The methodology that was used to prepare the accelerated estimates
of GDP by industry for 2002 is the same as that described in the June
2002 SURVEY. (10) The current-dollar estimates were primarily prepared
by extrapolating the major published components of industry income for
2001 by largely unpublished industry source data from the NIPA's.
The chain-type quantity indexes and chained-dollar estimates were
primarily prepared by using the single-deflation method: An index of
current-dollar GDP by industry was divided by the industry's gross
output price index. The chain-type quantity indexes for industry groups
and for "all industries" are Fisher aggregations of the
detailed industries. The real growth rate for "all industries"
using the single-deflation method was 2.4 percent, the same as that for
real GDP in the NIPA's.
Updating the research
The research that BEA described last June had been designed
primarily to assess the feasibility of providing industry estimates
shortly after the release of the final fourth-quarter GDP estimate in
late March, because users expressed a need for more timely information
on the direction and scale of industry growth. The research findings
suggested that reasonably reliable current-dollar estimates could be
prepared for industry groups and for major aggregates but not for
detailed industries and that the reliability of the real estimates
appeared to be sensitive to economic developments, such as
business-cycle fluctuations and changes in relative prices.
The statistical criteria for evaluating the methods proposed for
the accelerated estimates were the mean absolute revision (MAR) in
annual percent changes for industries and the simple average MAR for all
industries. Other statistics were also computed to test the reliability
of the direction of change, of the acceleration or deceleration in
growth rates, and of the ranking of growth rates. Experimental
accelerated estimates of GDP by industry were computed for 1998-2000,
and they were compared with actual changes obtained from several
vintages of the published GDP-by-industry accounts. MAR measures were
computed for current-dollar estimates and for real estimates. The
measures for the real estimates were computed using two different
methods--the single-deflation method and the gross-output-extrapolation
method.
The research results reported last year have been updated to
include experimental accelerated estimates for 2001 and the published
GDP-by-industry estimates for 1999-2001 that were released in November
2002. The MAR measures are slightly higher than those reported last
June, partly reflecting the revisions to current-dollar and real GDP
growth rates for 2001. However, these updated results do not change the
interpretations of the reliability of the accelerated estimates: The
accelerated current-dollar estimates for broad industry groups
successfully indicated
* The direction of change 98 percent of the time (down from last
year's 100 percent)
* Whether an industry group's GDP was accelerating or
decelerating more than 80 percent of the time (up from about 75 percent)
* Whether an industry group's GDP growth was high, medium, or
low in comparison with that of other industry groups about 70 percent of
the time (about the same as last year)
Last year's research results also showed that the range of
revisions to the growth rates for the major industry groups did not
significantly differ from that for the major expenditure components of
GDP and that many of the revisions to the growth rates for detailed
industries were offsetting at the industry-group level. These findings
continue to hold using the up dated estimates.
For each measure, the percent change in the accelerated estimate is
compared with that in both the first regular estimate and the
"latest" regular estimate; for perspective, the percent change
in the first estimate is also compared with that in the latest estimate.
For updated current-dollar estimates, the average MAR for the 13
industry groups relative to the first estimate increased to 1.75
percentage points from 1.61 percentage points, and it increased to 2.20
points from 2.04 points relative to the latest estimate (table F). For
the updated real estimates using the single-deflation method, the
average MAR for 13 industry groups relative to the first estimate
increased to 2.40 points from 2.25 points. The average MAR for all of
the other real estimate measures were about the same as before.
Extending the research
Experimental accelerated estimates of real GDP by industry for 2001
were not presented last June, primarily because of a relatively large
unexplained difference between the growth rate of real GDP by industry
for "all industries" using the single-deflation method and the
growth rate of overall real GDP from the NIPA's. These aggregate
real output measures are conceptually equivalent, but they often differ
in practice--even in comparisons of the regular GDP-by-industry
estimates with the NIPA estimates--because of differences in
methodology, source data, and aggregation procedures. For 1988-2001, the
mean difference (industry less NIPA) was 0.03 percentage point, and the
mean absolute difference was 0.16 percentage point. The difference has
ranged from -0.42 point in 1992 to 0.35 point in 1997.
For the accelerated estimates, the previous research had suggested
that in the absence of data needed for the preferred double-deflation
method, single deflation by the industry's gross output price index
would yield more reliable results than the method of extrapolation using
the industry's gross output quantity index. The assumptions
underlying the single-deflation method were judged more likely to hold
under a wider variety of macroeconomic conditions than those underlying
the extrapolation method. Because of data limitations, however, those
conclusions were based on only 3 years of testing with experimental
accelerated estimates. In addition, the previous research focused on
comparisons of revisions for the industry groups within the industry
accounts, not on the comparison of "all industries" with GDP.
BEA solicited comments on the proposed methodology for the
accelerated estimates, particularly about the methodology for the real
estimates. The results of the previous research suggested that the
errors due to using methods other than the conceptually preferred
double-deflation method were likely to be larger during unstable economic periods, such as periods around business-cycle turning points
or periods with sharp changes in relative prices. Several respondents to
BEA's request for comments strongly encouraged BEA to conduct
further research aimed at improving the methodology for the real
estimates and extending the time period for evaluation. It was also
noted that an analysis based on estimates for 1998-2000 may be
misleading because of the economic boom during this period. In addition,
energy prices in this period were quite volatile, declining sharply in
1998 and increasing sharply in 2000. The current-dollar estimates for
industry groups were considered to be significantly better than a
"naive" estimate based on assuming no change in the industry
shares of GDP, but the real estimates were considered to be only
marginally better.
The previous research was extended by examining more closely the
differences in aggregate real output measures for the 3 earlier years of
experimental accelerated estimates using updated results for 2001. The
extended research focused on differences in growth rates between
"all industries" and the initial estimates of GDP, and it
evaluated the results for "all industries" relative to several
vintages of the regular GDP-by-industry estimates. It also provided
further perspective on the reliability of alternatives to the
double-deflation method by computing aggregate estimates from the
historical published GDP-by-industry estimates using the alternative
methods.
The extended research produced the following results:
* For the 4 years of accelerated GDP-by-industry estimates
(1998-2001), the extrapolation method performed better than the
single-deflation method relative to the initial NIPA GDP estimate for
each year, and it performed better relative to the latest regular
GDP-by-industry estimate for 3 of the 4 years;
* For 1987-2001, based on the historical published GDP-by-industry
estimates, the single-deflation method performed slightly better for
"all industries" but this advantage was greater in the earlier
years (1988-1994) than in the later years (1995-2001);
* For 1987-2001, based on the historical published GDP-by-industry
estimates, the single-deflation method performed significantly better
for most of the industry groups; and
* Use of some form of the double-deflation method improves the
performance of the accelerated real GDP-by-industry estimates for
industry groups and for "all industries" especially in years
with volatile energy prices.
Questions raised. These results raise several important questions.
One question concerns which estimate--the April NIPA GDP or the most
recent regular GDP by industry--is the more appropriate standard for
evaluating the alternative methods for preparing the accelerated real
estimates. Both standards are important, but in different ways. On the
one hand, estimates that closely track the NIPA real GDP estimate
released in April raise the level of confidence in the use of the
accelerated industry real growth rates to compute contributions to real
GDP growth. On the other hand, estimates that closely track subsequent
annual revisions of GDP by industry raise the level of confidence in the
use of the accelerated estimates as early indicators of industry real
growth. On balance, the April NIPA GDP estimate appears to be a slightly
more important standard because of the proximity of its release with
that of the accelerated GDP-by-industry estimates.
Another important question concerns which alternative to the
double-deflation method--the single-deflation method or the
gross-output-extrapolation method--should be used when double deflation
is not feasible. The answer should be determined by the results of
research using both the accelerated estimates and the published
estimates. The extended research using published data is based on a
longer period (13 years rather than 4 years) and avoids the
complications associated with using preliminary and incomplete
"accelerated" source data, allowing the analysis to focus on
the effects of the methods themselves. The weight of the evidence over
the longer period comes down slightly in favor of the single-deflation
method; the performance for most of the industry groups is consistently
better with this method. The poorer performance of this method for
"all industries" for 1995-2001 is primarily due to the results
for 1998 and for 2000, when energy prices were volatile.
The large difference for 2001 between the April real GDP estimate
from the NIPA's and the accelerated estimate for "all
industries" was similar to the differences in the published
estimates for other years with unusual economic conditions. However, the
single-deflation method can be improved by accounting for changes in the
intermediate input prices for selected industries. BEA will continue to
investigate ways to implement a modified double-deflation method, and it
will continue to monitor the relative performance of the alternative
methods because they may be sensitive to trends and cycles in the
economy. BEA will also investigate the feasibility of tailoring methods
to particular industries, especially if one method consistently performs
better for certain industries or industry groups.
Future Initiatives
The accelerated GDP-by-industry estimates for 2002 represent the
achievement of a key milestone for the new initiatives described in
BEA's strategic plan. Preparation of these estimates was made
possible by recent budget increases in support of this project, and
continuation of this funding will sustain the research into expanding
and improving the estimates.
BEA welcomes your feedback on the value of this initiative and the
other initiatives in the strategic plan to speed up the availability of
estimates from the industry accounts. BEA is interested in learning more
about your interests and priorities regarding the accelerated estimates,
especially whether additional industry detail for the April estimates
would be useful despite the prospect of substantial revisions in
November.
As a result of the increased funding, BEA could investigate the
feasibility of increasing the level of industry detail to include many
of the industries that are included in the regular November release. BEA
could also consider providing additional estimates, such as gross output
and the shares of labor and capital income. BEA could also develop more
extensive estimating methodologies and expedite the conversion of the
estimates to the new North American Industry Classification System.
Please e-mail your comments on these issues to Sumiye Okubo,
BEA's Associate Director for Industry Accounts, at
industryaccts@bea.gov.
Tables 1-4 follow.
Table 1. Gross Domestic Product by Industry Group
in Current Dollars, 1999-2002
[Billions of dollars]
1999 2000 2001 2002
Gross domestic product 9,274.3 9,824.6 10,082.2 10,446.2
Private industries 8,123.0 8,606.9 8,800.8 9,101.1
Private goods-producing
industries 2,138.6 2,248.9 2,182.7 2,204.6
Agriculture, forestry,
and fishing 127.7 134.3 140.6 142.1
Mining 104.1 133.1 139.0 123.2
Construction 425.4 461.3 480.0 490.3
Manufacturing 1,481.3 1,520.3 1,423.0 1,448.4
Durable goods 853.8 886.4 812.8 814.4
Nondurable goods 627.5 633.9 610.2 634.0
Private services-producing
industries 6,023.1 6,486.5 6,735.4 7,013.7
Transportation and public
utilities 770.1 809.3 819.5 839.3
Transportation 301.9 313.7 306.1 310.4
Communications 257.2 279.1 291.5 302.4
Electric, gas, and
sanitary services 211.0 216.5 221.9 226.6
Wholesale trade 645.3 696.8 680.7 707.7
Retail trade 831.7 887.3 931.8 970.8
Finance, insurance, and
real estate 1,798.8 1,976.7 2,076.9 2,183.8
Services 1,977.2 2,116.4 2,226.6 2,312.2
Statistical discrepancy (1) -38.8 -128.5 -117.3 -116.7
Government 1,151.3 1,217.7 1,281.3 1,345.2
(1.) Equals gross domestic product measured as the sum of
expenditures less gross domestic income.
Table 2. Chain-Type Quantity Indexes for Gross Domestic Product
by Industry Group, 1999-2002
[1996=100]
1999 2000 2001 2002
Gross domestic product 113.39 117.64 117.94 120.82
Private Industries 115.58 120.10 120.56 123.53
Private goods-producing
industries 114.77 118.89 113.92 115.38
Agriculture, forestry,
and fishing 118.50 127.82 125.64 125.76
Mining 101.45 90.14 94.44 95.79
Construction 116.23 119.45 117.53 117.68
Manufacturing 115.03 120.47 113.24 115.26
Durable goods 126.84 139.52 132.29 132.20
Nondurable goods 100.57 98.32 91.32 95.21
Private services-producing
industries 117.41 123.80 125.96 129.46
Transportation and public
utilities 109.89 117.34 117.13 121.68
Transportation 110.35 116.06 111.06 114.78
Communications 118.94 133.55 149.97 154.76
Electric, gas, and
sanitary services 100.28 102.70 93.31 98.50
Wholesale trade 133.80 141.65 141.37 148.44
Retail trade 123.15 132.33 138.45 148.57
Finance, insurance, and
real estate 117.50 124.83 128.31 130.33
Services 113.05 116.74 117.84 119.67
Government 103.99 106.71 108.54 110.56
Table 3. Real Gross Domestic Product by Industry Group, 1999-2002
[Billions of chained (1996) dollars]
1999 2000 2001 2002
Gross domestic product 8,859.0 9,191.4 9,214.5 9,439.9
Private Industries 7,851.0 8,157.8 8,189.4 8,390.8
Private goods-producing
industries 2,153.0 2,230.3 2,137.0 2,164.5
Agriculture, forestry,
and fishing 154.6 166.7 163.9 164.0
Mining 114.7 101.9 106.8 108.3
Construction 367.8 378.0 371.9 372.4
Manufacturing 1,513.9 1,585.4 1,490.3 1,516.9
Durable goods 949.3 1,044.3 990.1 989.4
Nondurable goods 570.8 558.0 518.3 540.4
Private services-producing
industries 5,734.3 6,046.4 6,152.1 6,322.6
Transportation and public
utilities 732.2 781.9 780.5 810.8
Transportation 268.6 282.5 270.3 279.4
Communications 255.3 286.7 321.9 332.2
Electric, gas, and
sanitary services 208.8 213.9 194.3 205.1
Wholesale trade 708.6 750.2 748.7 786.1
Retail trade 846.2 909.2 951.2 1,007.1
Finance, insurance, and
real estate 1,688.3 1,793.5 1,843.5 1,872.5
Services 1,768.4 1,826.0 1,843.3 1,871.9
Statistical discrepancy (1) -37.3 -121.3 -108.3 -107.0
Government 1,061.1 1,088.8 1,107.5 1,128.2
Not allocated by industry (2) -66.1 -87.0 -108.9 -110.2
(1.) Equals the current-dollar statistical discrepancy deflated by
the implicit price deflator for gross domestic business product.
(2.) Equals gross domestic product (GDP) less the statistical
discrepancy and the sum of GDP by industry of the industry groups.
The value of not allocated by industry reflects the nonadditivity
of chained-dollar estimates and the differences in source data used
to estimate real GDP by industry and the expenditures measure of
real GDP.
Table 4. Chain-Type Price Indexes for Gross Domestic Product
by Industry Group, 1999-2002
[1996=100]
1999 2000 2001 2002
Gross domestic product 104.69 106.89 109.42 110.66
Private industries 103.46 105.51 107.47 108.47
Private goods-producing
industries 99.33 100.83 102.14 101.83
Agriculture, forestry,
and fishing 82.62 80.54 85.82 86.65
Mining 90.82 130.62 130.24 113.78
Construction 115.68 122.05 129.07 131.68
Manufacturing 97.85 95.89 95.49 95.48
Durable goods 89.94 84.88 82.09 82.31
Nondurable goods 109.94 113.59 117.73 117.31
Private service-producing
industries 105.04 107.28 109.48 110.93
Transportation and public
utilities 105.18 103.50 105.00 103.52
Transportation 112.40 111.03 113.23 111.10
Communications 100.74 97.36 90.53 91.02
Electric, gas, and
sanitary services 101.04 101.21 114.21 110.46
Wholesale trade 91.08 92.89 90.92 90.02
Retail trade 98.29 97.59 97.95 96.40
Finance, insurance, and
real estate 106.55 110.22 112.66 116.62
Services 111.81 115.90 120.80 123.52
Government 108.51 111.83 115.69 119.23
Table A. Percent Changes in Real Gross Domestic Product
by Industry Group
Average annual
2000 2001 2002 rate of change
1995-2000
Gross domestic product 3.8 0.3 2.4 4.0
Private industries 3.9 0.4 2.5 4.6
Private goods-producing
industries 3.6 -4.2 1.3 4.1
Agriculture, forestry,
and fishing 7.9 -1.7 0.1 6.2
Mining -11.2 4.8 1.4 -2.0
Construction 2.8 -1.6 0.1 4.8
Manufacturing 4.7 -6.0 1.8 4.3
Durable goods 10.0 -5.2 -0.1 7.9
Nondurable goods -2.2 -7.1 4.3 -0.4
Private services-producing
industries 5.4 1.7 2.8 5.3
Transportation and public
utilities 6.8 -0.2 3.9 4.3
Transportation 5.2 -4.3 3.3 4.6
Communications 12.3 12.3 3.2 7.2
Electric, gas, and
sanitary services 2.4 -9.1 5.6 0.6
Wholesale trade 5.9 -0.2 5.0 9.2
Retail trade 7.5 4.6 5.9 7.2
Finance, insurance, and
real estate 6.2 2.8 1.6 5.2
Services 3.3 0.9 1.6 3.9
Government 2.6 1.7 1.9 1.4
Table B. Contributions to Percent Change in Real
Gross Domestic Product by Industry Group
Average annual
2000 2001 2002 rate of change
1995-2000
Gross domestic product 3.8 0.3 2.4 4.0
Percentage points
Private industries 3.4 0.3 2.1 4.0
Private goods-producing
industries 0.8 -1.0 0.3 1.0
Agriculture, forestry,
and fishing 0.1 0.0 0.0 0.1
Mining -0.1 0.1 0.0 -0.0
Construction 0.1 -0.1 0.0 0.2
Manufacturing 0.8 -0.9 0.3 0.7
Durable goods 0.9 -0.5 0.0 0.7
Nondurable goods -0.2 -0.5 0.3 -0.0
Private services-producing
industries 3.5 1.2 1.9 3.4
Transportation and public
utilities 0.6 0.0 0.3 0.4
Transportation 0.2 -0.1 0.1 0.1
Communications 0.3 0.3 0.1 0.2
Electric, gas, and
sanitary services 0.1 -0.2 0.1 0.0
Wholesale trade 0.4 0.0 0.3 0.6
Retail trade 0.7 0.4 0.5 0.6
Finance, insurance, and
real estate 1.2 0.6 0.3 1.0
Services 0.7 0.2 0.3 0.8
Government 0.3 0.2 0.2 0.2
NOTE. For information on the calculation of the contributions to
percent change, see footnote 5 in text. Percentage-point contributions
do not sum to the percent change in the chain-type quantity index for
gross domestic product or to the percentage-point contribution for
private industries, because the contributions of the statistical
discrepancy and of "not allocated by industry" are excluded (see
table 3 for the estimates of real gross domestic product by
industry group).
Table C. Gross Domestic Product by Industry Group in Current
Dollars as a Percentage of Gross Domestic Product
[Percent]
1999 2000 2001 2002
Gross domestic product 100.0 100.0 100.0 100.0
Private Industries 87.6 87.6 87.3 87.1
Private goods-producing
industries 23.1 22.9 21.6 21.1
Agriculture, forestry,
and fishing 1.4 1.4 1.4 1.4
Mining 1.1 1.4 1.4 1.2
Construction 4.6 4.7 4.8 4.7
Manufacturing 16.0 15.5 14.1 13.9
Durable goods 9.2 9.0 8.1 7.8
Nondurable goods 6.8 6.5 6.1 6.1
Private services-producing
industries 64.9 66.0 66.8 67.1
Transportation and public
utilities 8.3 8.2 8.1 8.0
Transportation 3.3 3.2 3.0 3.0
Communications 2.8 2.8 2.9 2.9
Electric, gas, and
sanitary services 2.3 2.2 2.2 2.2
Wholesale trade 7.0 7.1 6.8 6.8
Retail trade 9.0 9.0 9.2 9.3
Finance, insurance, and
real estate 19.4 20.1 20.6 20.9
Services 21.3 21.5 22.1 22.1
Statistical discrepancy (1) -0.4 -1.3 -1.2 -1.1
Government 12.4 12.4 12.7 12.9
(1.) Equals gross domestic product measured as the sum of
expenditures less gross domestic income.
Table D. Percent Changes in Chain-Type Price Indexes for
Gross Domestic Product by Industry Group
Average
annual rate
2000 2001 2002 of change
1995-2000
Gross domestic product 2.1 2.4 1.1 1.7
Private industries 2.0 1.9 0.9 1.4
Private goods-producing
industries 1.5 1.3 -3.0 0.6
Agriculture, forestry,
and fishing -2.5 6.6 1.0 -2.0
Mining 43.8 -0.3 -12.6 9.1
Construction 5.5 5.8 2.0 4.7
Manufacturing -2.0 -0.4 0.0 -0.9
Durable goods -5.6 -3.3 0.3 -3.6
Nondurable goods 3.3 3.6 -0.4 3.0
Private services-producing
industries 2.1 2.1 1.3 1.7
Transportation and public
utilities -1.6 1.4 -1.4 0.4
Transportation -1.2 2.0 -1.9 1.4
Communications -3.4 -7.0 0.5 -0.5
Electric, gas, and
sanitary services 0.2 12.8 -3.3 0.3
Wholesale trade 2.0 -2.1 -1.0 -2.2
Retail trade -0.7 0.4 -1.6 -0.7
Finance, insurance, and
real estate 3.4 2.2 3.5 2.6
Services 3.7 4.2 2.3 3.7
Government 3.1 3.5 3.1 2.8
Table E. Contributions to Percent Change in the Chain-Type Price
Index for Gross Domestic Product by Industry Group
Average annual
2000 2001 2002 rate of change
1995-2000
Gross domestic product 2.1 2.4 1.1 1.7
Percentage points
Private industries 1.7 1.6 0.8 1.2
Private goods-producing
industries 0.3 0.3 -0.1 0.1
Agriculture, forestry,
and fishing 0.0 0.1 0.0 -0.0
Mining 0.5 0.0 -0.2 0.1
Construction 0.3 0.3 0.1 0.2
Manufacturing -0.3 -0.1 0.0 -0.1
Durable goods -0.5 -0.3 0.0 -0.3
Nondurable goods 0.2 0.2 0.0 0.2
Private services-producing
industries 1.4 1.4 0.9 1.1
Transportation and public
utilities -0.1 0.1 -0.1 0.0
Transportation 0.0 0.1 -0.1 0.0
Communications -1.0 -0.2 0.0 -0.0
Electric, gas, and
sanitary services 0.0 0.3 -0.1 0.0
Wholesale trade 0.1 -0.2 -0.1 -0.1
Retail trade -0.1 -0.2 -0.1 -0.1
Finance, insurance, and
real estate 0.7 0.4 0.7 0.5
Services 0.8 0.9 0.5 0.7
Government 0.4 0.4 0.4 0.4
NOTE. For information on the calculation of the contributions to
percent change, see footnote 8 in text. Percentage-point contributions
do not sum to the percent change in the chain-type price index for
gross domestic product or to the percentage-point contribution for
private industries, because the contributions of the statistical
discrepancy and of "not allocated by industry" are excluded (see table
3 for the estimates of real gross domestic product by industry group).
Table F. Mean Absolute Revisions to Annual Percent Changes in
GDP by Industry for Industry Groups, 1998-2001
[Percentage points]
Current-dollar estimates
First less Latest less Latest
accelerated accelerated less first
Agriculture, forestry,
and fishing 1.83 2.21 1.54
Mining 4.90 4.02 3.31
Construction 0.80 2.28 1.98
Manufacturing 1.33 1.76 1.11
Durable goods 1.47 1.76 1.13
Nondurable goods 1.30 2.17 1.83
Transportation and
public utilities 1.92 2.65 1.05
Transportation 2.19 2.63 1.09
Communications 2.70 2.50 1.72
Electric, gas, and
sanitary services 2.75 5.35 3.66
Wholesale trade 1.93 1.33 0.81
Retail trade 0.36 0.84 0.95
Finance, insurance,
and real estate 1.00 2.34 1.79
Services 0.97 0.52 0.98
Government 0.61 0.69 0.26
Average for 13 industry
groups (1) 1.75 2.20 1.62
Real Estimates
Gross-out-
put-extra-
Single-deflation polation
method method
First less Latest less First less
accelerated accelerated accelerated
Agriculture, forestry,
and fishing 3.63 3.53 3.92
Mining 3.74 3.44 7.80
Construction 2.50 2.34 1.24
Manufacturing 1.97 1.80 0.45
Durable goods 3.12 3.05 1.86
Nondurable goods 2.66 3.05 2.38
Transportation and
public utilities 2.13 1.72 2.01
Transportation 2.06 1.29 1.94
Communications 2.74 1.57 4.46
Electric, gas, and
sanitary services 4.08 5.22 4.56
Wholesale trade 1.79 2.12 2.47
Retail trade 1.14 1.09 1.51
Finance, insurance,
and real estate 1.58 1.53 0.88
Services 1.93 1.88 2.02
Government 0.19 0.40 0.32
Average for 13 industry
groups (1) 2.40 2.35 2.72
Gross-out-
put-extra-
polation
method
Latest less Latest
accelerated less first
Agriculture, forestry,
and fishing 3.82 1.12
Mining 5.76 2.72
Construction 1.21 1.53
Manufacturing 0.66 0.67
Durable goods 2.38 2.00
Nondurable goods 3.08 1.16
Transportation and
public utilities 1.98 1.57
Transportation 1.33 1.37
Communications 4.11 1.97
Electric, gas, and
sanitary services 5.39 2.78
Wholesale trade 2.40 1.37
Retail trade 1.31 0.33
Finance, insurance,
and real estate 1.17 0.73
Services 2.57 0.78
Government 0.33 0.33
Average for 13 industry
groups (1) 2.68 1.40
(1.) Includes all industry groups listed above except for the
aggregates "manufacturing" and "transportation and public
utilities."
NOTE. The mean revision is defined as the average of all revisions.
Each revision is calculated as the percentage change in the later
annual estimate less the percentage change in the earlier annual
estimate. Revisions are summed and divided by the number of
observations in the sample period over which the summation is
calculated. The mean absolute revision is calculated using the
absolute value of each revision, The "first" annual estimate refers
to the first time for which the regular estimate of a particular
year was released, and the "latest" refers to the most recently
revised estimate of the particular year. For example, the first
estimate for 1998 was released in June 2000, and the latest estimate
for 1998 was released in November 2001.
Acknowledgments
The methodology for the accelerated GDP-by-industry estimates was
developed by Robert E. Yuskavage, senior economist in the Office of the
Associate Director for Industry Accounts, under the guidance of Sumiye
Okubo, Associate Director for Industry Accounts. The estimates for 2002
and the tables for this article were prepared by Erich H. Strassner of
the Industry Economics Division (IED). Kali A. Kong of the National
Income and Wealth Division provided valuable assistance in the
preparation of the estimates. Ann M. Lawson, Chief of IED, and Brian C.
Moyer, Chief of the Annual Industry Branch of IED, reviewed the
estimates.
(1.) See Robert E. Yuskavage, "Gross Domestic Product by
Industry: A Progress Report on Accelerated Estimates," SURVEY OF
CURRENT BUSINESS 82 (June 2002): 19-27.
(2.) Private goods-producing industries consist of agriculture,
forestry, and fishing; mining; construction; and manufacturing. Private
services-producing industries consist of transportation and public
utilities; wholesale trade; retail trade; finance, insurance, and real
estate; and services.
(3.) The revised GDP-by-industry estimates for 2002 on a North
American Industry Classification System basis will be released in spring
2004 as part of a comprehensive revision of the GDP-by-industry
accounts. This release will also include accelerated estimates for 2003.
For the most recently published estimates, see Robert J. McCahill and
Brian C. Moyer, "Gross Domestic Product by Industry for
1999-2001" SURVEY 82 (November 2002): 23-41.
(4.) Conceptual differences between GDP-by-industry and the NIPA
final expenditures categories make such comparisons rough at best. NIPA
final expenditures reflect amounts paid by final users, including all
wholesale and retail trade margins. The GDP-by-industry estimates
reflect only the amounts received by producers. When the GDP-by-industry
estimates for goods-producing industries are adjusted to include a
measure of trade margins, the growth rates are much closer.
(5.) An industry's contribution to real GDP growth depends on
both its real growth rate and its relative size. It is the product of
its share of current-dollar GDP and its real GDP-by-industry growth
rate. See the box "Using Chained-Dollar Estimates for Computing
Contributions to Economic Growth: A Cautionary Note" in Sherlene
K.S. Lum and Brian C. Moyer, "Gross Product by Industry,
1995-97," SURVEY 78 (November 1998): 24-25.
(6.) An industry's share of current-dollar GDP is a better
indicator of the industry's relative size in the economy than its
share of real GDP, because the shares of real GDP are affected by the
choice of the reference year. See McCahill and Moyer, 27.
(7.) The GDP-by-industry prices for 2002 are computed as implicit
price deflators. An industry's current-dollar index of GDP is
divided by the industry's chain-type quantity index (base
year=1996). Chain-type price indexes for industry groups are Fisher
aggregations of the detailed industries.
(8.) An industry's contribution to GDP price growth is the
product of its share of current-dollar GDP and the growth in its
GDP-by-industry price index.
(9.) See "BENs Strategic Plan for 2001-2005," SURVEY 82
(May 2002): 23.
(10.) Yuskavage, 20-21.