Revisions to GDP, GDI, and their major components.
Fixler, Dennis J. ; Greenaway-McGrevy, Ryan ; Grimm, Bruce T. 等
THE NATIONAL income and product accounts (NIPAs) provide a timely,
comprehensive, and accurate description of the condition of the U.S.
economy. Their two featured measures--gross domestic product (GDP) and
gross domestic income (GDI)--are summary measures of the same concept of
economic activity. GDP measures activity as the sum of all final
expenditures in the economy; it is detailed on the product side of the
domestic income and product account. GDI measures activity as the sum of
all incomes generated in production; it is detailed on the income side
of the domestic income and product account. In principle, GDP and GDI
give the same measure of economic activity, but in practice, they differ
because each is estimated from different source data. (1)
Measuring the accuracy of national accounts estimates is a
long-standing challenge for three main reasons. One, the early GDP and
GDI estimates are based on partial data and are intended to provide an
"early read" on the general picture of economic activity for
decision-makers. These early estimates are revised as more complete and
accurate source data become available. Two, the source data for the
national accounts come from a mix of survey, tax, and other business and
administrative data; these source data are subject to a mix of sampling
and nonsampling errors and biases that cannot be measured in terms of
standard errors. Three, the national accounts are regularly revised to
reflect the changes in the economic concepts and methods necessary for
these accounts to provide a picture of the evolving U.S. economy that is
relevant and accurate for today's economy. These updates range from
expanding the definition of investment from investments in plant and
equipment to include investments in computer software to updating
seasonal adjustment factors to reflect the most recent seasonal
patterns.
Accuracy, as a result, cannot be assessed by conventional
statistical measures, such as standard errors. It can, however, be
assessed by examining magnitudes and patterns of revisions. Some of the
revisions to the estimates are due to the replacement of early
extrapolations for missing source data or preliminary sample survey
results with more complete and accurate annual and benchmark data.
However, some of the revisions to GDP and GDI are the result of updates
to the concepts against which the early estimates are benchmarked.
These revisions to concepts and definitions can be significant. In
the last six comprehensive revisions (2009, 2003, 1999, 1995, 1991, and
1985), the average change in the levels of current-dollar GDP for
selected periods was 2 percent, and of that change, about one-third
resulted from changes in concepts and definitions and about two-thirds
resulted from statistical revisions. (For the 1996 and 1999
comprehensive revisions, the changes due to definitional changes
exceeded those due to statistical revisions.)
BEA's standard of accuracy is based on a comparison of its
early estimates to its "latest" estimates, which are revised
to incorporate the most up-to-date concepts, statistical methods, and
the most complete and accurate source data. These revisions are
indications of the accuracy of BEA's early estimates; that is,
these revisions do not substantively change BEA's measures of
long-term growth, the picture of business cycles, and the trends in
major components of GDP provide a consistent and accurate picture of
general economic activity. Economic policy decisions should not need to
be reconsidered in the light of revisions to GDP estimates, and
policymakers should be able to rely on the early estimates as accurate
indicators of the state of the economy. More specifically, BEA judges
the accuracy of its early estimates by whether they present the same
general picture of economic activity as its latest estimates in terms of
the following:
* Long-term growth rates
* Trends in saving, investment, government spending, corporate
profits, and other key components of GDP and GDI
* Broad features of the business cycle, including the timing and
depth of recessions, the strength of recoveries, and the major
components contributing to growth and contractions
* The pattern of quarterly growth, including whether growth in any
particular period is high or low relative to trend, is accelerating or
decelerating, or is positive or negative
Revisions are measured as the changes from an earlier vintage of a
given estimate to a later vintage of that estimate, for example, from
the advance estimate to the third estimate (see the box "Vintages
and Timing of Revisions"). Because the latest available estimates
incorporate the estimates from the most recent comprehensive revision,
they incorporate all the available source data that are believed to be
the most reliable. Thus, the latest available estimates are assumed to
be the best estimates and are used as the standards for-accuracy.
Over the long run, this study finds the following results:
* Revisions to long-term growth rates are small, averaging less
than 0.1 percentage point for average growth rates over the
comprehensive benchmark revisions between 1985 and 2009.
* There are no substantial revisions--as measured by the shares of
GDP or GDI--in key measures, such as investment and government
expenditures or the national saving rate.
* The revisions to the contributions of key components of GDP
growth are small and do not substantially change the ordinal rankings of
the components' contributions to growth over expansions and
contractions.
* The overall pattern of change in GDP over business cycles is
little changed by the revisions (charts 1 and 2).
In the short run, there are three vintages of "current
quarterly" estimates of GDP, the advance, the second, and the third
estimates. Each estimate is produced using a wide mix of source
data--preliminary survey results, such as the Census Bureau's
survey of retail sales and services, and manufacturers' shipments,
various indicators, trade industry data and more--that are later revised
to reflect more complete information or to replace trend projections
with data. The three vintages of GDP estimates successfully indicate the
following:
* The direction of change in real GDP 97 percent of the time
* The acceleration or deceleration of growth about 72 percent of
the time
* The relative magnitude of growth--whether it was above, near, or
below trend (near trend is less than one standard deviation from the
mean) more than four-fifths of the time
* The cyclical peaks before five of the six recessions in 1969-2006
* The cyclical troughs of four of the six recessions 2 In addition,
regardless of vintage, average absolute revisions to GDP and GDI are
generally smaller than those to most of their components, because
revisions to the components tend to offset each other.
The early quarterly estimates are replaced successively with three
vintages of "current annual" estimates that are primarily
based on increasingly complete annual source data. For a description of
GDP source data and the revision process see Grimm and Weadock (2006).
For a description of a similar progression of source data for GDI, see
Holdren and Grimm (2008).
Revisions are typically measured in percent changes at annual
rates. This avoids distortions arising from the trend growth in economic
activity that would otherwise make revisions to later year estimates
seem relatively larger than those of earlier estimates. For example, a
1-percentage-point revision to current-dollar GDP for 2009 would be
worth about four times as many dollars as a 1-percentage-point revision
to GDP for 1983.
[GRAPHIC 1 OMITTED]
[GRAPHIC 2 OMITTED]
Other findings in this study include the following:
* Revisions in both current-dollar and real GDP and their major
components are roughly similar to each other.
* Revisions before and during recessions are similar to revisions
in 1983-2009.
* Revisions to the contributions of the major components of GDP are
small in comparison to their year-to-year fluctuations, and the ordinal
rankings of the sizes of the contributions of the components are stable
across vintages of estimates.
* The ratios of GDI to its major components retain their patterns
from the current quarterly estimates to those in place before and after
the 2009 comprehensive NIPA revision.
* For some purposes, an average of GDP and GDI is superior to
either measure alone. The mean absolute revisions (MARs) to the annual
rates of change--that is, taking the average of the revisions without
regard to sign--from the current quarterly estimates for 1983-2009 to
the latest available estimates of current-dollar and real GDP and GDI
have averaged modestly more than 1 percentage point. That represents a
decline from about 3 percentage points for pre-1960 values for
current-dollar GDP (see Fixler and Grimm 2008).
The MARs within the current quarterly estimates are somewhat
smaller. For example, the MAR from the advance estimates to the second
estimates of real GDP is 0.5 percentage point, and the MAR from the
advance estimates to the third estimates is 0.6 percentage point. The
MAR from the second estimates to the third estimates is 0.3 percentage
point.
The MAR is a measure of accuracy that reflects both the mean and
the spread of the revision so that even if the revision is zero on
average, the MAR will not be zero, because the variance of the revision
will be positive. In order to assess whether the revision is zero on
average, it is necessary to use another measure of estimate accuracy,
such as the mean revision.
Mean revisions (MRs) indicate whether the revisions are generally
positive or negative. Because revisions may be offsetting, the MRs are
much smaller than the MARs. The MR from the advance estimates to the
latest estimates of GDP is 0.3 percentage point. As discussed below,
much of this MR reflects revisions that stem from the comprehensive
revisions. The MRs from both the second and third estimates to the
latest available estimates are both somewhat more than 0.1 percentage
point.
To put these MRs into context, for 1983-2009, the mean growth rate
of real GDP was 2.8 percent. (3) The growth rates ranged from -6.8
percent to 9.3 percent.
The remainder of this article discusses (1) revisions to quarterly
estimates of GDP, (2) revisions to annual estimates of GDP, (3)
revisions to quarterly estimates of GDI, (4) revisions to annual
estimates of GDI, (5) the relationships of the quarterly estimates of
GDP and to those of GDI, (6) revisions to quarterly estimates of the
price indexes for GDP, and (7) an alternative method for examining
revisions to current-dollar estimates of GDP. These sections are
followed by a brief summary and conclusions.
Revisions to Quarterly Estimates of GDP
The measures of reliability featured here are MRs and MARs from the
earlier estimates to the latest available estimates (see the box
"Mean Revisions, Mean Absolute Revisions, Standard Deviations, and
Correlations of Revisions"). Standard deviations of the revisions
are also shown in selected tables and provide supplementary information
to that provided by MARs. The three measures are shown for revisions
from the three current quarterly estimates to the latest available
estimates.
The measures of revisions for real and current-dollar GDP and its
major components are shown in table 1. In 1983-2009, for all three
current quarterly vintages, the MARs for current-dollar GDP are about
1.1 percentage points, and those for real GDP are about 1.3 percentage
points. The standard deviations have a similar pattern, with those for
current-dollar GDP being about 1.4 percentage points and those for real
GDP being about 1.6 percentage points. Thus, there are essentially no
reductions in MARs or standard deviations from the advance estimates to
the second and third estimates of both current-dollar and real GDP even
though some additional or revised source data are incorporated and some
trend-based projections are replaced with source data (see Grimm and
Weadock 2006).
The lack of declines in the MARs of GDP in successive vintages of
current quarterly estimates is a phenomenon that has been noted in
nearly all of BEA's analyses of revisions. Alan Young (1996)
suggested reasons why the sizes of later current quarterly estimates
have revisions that are similar to those of earlier vintage revisions.
One reason is that the judgmental trend-based estimates used for some
portions of the estimates are not subject to revisions due to revised
seasonal adjustment factors; an earlier revision study found that
revisions to the seasonal adjustments were roughly as large as revisions
to seasonally unadjusted estimates. (In addition to the studies listed
in the references to this article, see earlier studies by BEA in the
references of Fixler and Grimm 2002, 27.)
Another analysis of the reliability of early estimates that
incorporate highly incomplete information can be made by comparing MARs
of the various vintages with MARs of the average forecasts of the Survey
of Professional Forecasters--that are available on the Web site of the
Federal Reserve Bank of Philadelphia.
Mean Revisions, Mean Absolute Revisions, Standard Deviations, and
Correlations of Revisions
By convention, revisions are calculated as the later vintage
estimates less the earlier vintage estimates; that is, for any time t,
the revision is
[R.sub.t] = [L.sub.t]- [E.sub.t],
where L is the change or percent change in the later vintage
quarterly or annual estimates, and E is the change or percent change in
the earlier vintage estimates. Percent changes in quarterly estimates
are at annual rates; this corresponds to the convention generally used
for the estimates.
The mean revision is the average of the revisions in the sample
period.
MR = [[summation].sub.t][R.sub.t]/n,t = 1, ..., n
The revisions can be positive or negative, so they may be
offsetting. As a result, it is also useful to look at the mean absolute
revision, which is the average of the absolute revisions in the sample
period.
MAR = [[summation].sub.t][absolute value of [R.sub.t]]/n, t = 1,
..., n
For some purposes, it is also useful to calculate the standard
deviation of the revisions. The standard deviation is the square root of
the variance of the revisions. In turn, the variance is the average of
the square of the deviation of the revisions about their mean.
SD(R) = Var[(R).sup.1/2]
and
Var(R) = [[summation].sub.t][([R.sub.t] - MR).sup.2] /n, t = 1,
..., n
Correlations between revisions to two GDP components, [R.sub.i] and
[R.sub.j], may be calculated to examine the relationship between the
revisions. Let [MR.sub.i] and [MR.sub.j] be the mean revisions of
[R.sub.i] and [R.sub.j], respectively. The correlation coefficient of
the two sets of revisions is
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII].
These average forecasts are based on a number of private forecasts
and are made soon after the advance estimates for the previous quarter.
The MARs for these forecasts in 1983-2009 are 1.6 percentage points for
real GDP and 1.9 percentage points for current-dollar GDP; these MARs
are only moderately larger than the MARs for the current quarterly
vintage estimates.
The MARs for current-dollar personal consumption expenditures (PCE)
are only slightly larger than those for GDP, at 1.1 percentage points to
1.2 percentage points, and the MARs for real PCE are 0.1 percentage
point to 0.2 percentage point smaller than those for all the vintages of
the GDP estimates for 1983-2001. Similarly, the standard deviations for
current-dollar PCE are about 0.1 percentage point larger than those for
current-dollar GDP, and the standard deviations for real PCE are about
0.1 percentage point smaller than those for real GDP. The MARs for both
current-dollar and real PCE are about 1.2 percentage points for the
advance estimates and 1.1 percentage points for the second and third
estimates.
The MARs for most major components of GDP are generally similar for
both current-dollar and real estimates, usually within a few tenths of a
percentage point of one another. Because most estimates are prepared in
current dollars and deflated to obtain real estimates and because the
deflators are also subject to revisions, it is generally best to
emphasize the current-dollar revisions. Unless otherwise specified, the
following discussion is valid for both current-dollar and real
estimates.
The reclassification of the detailed components of PCE as part of
the 2009 comprehensive revision affected the composition of the three
major components of PCE, but not total PCE. The effects of the
reclassification appear to be minimal with regard to revisions to the
major PCE components in both current and real dollars, though these
effects cannot be separated from the effects of other changes. The MARs
for PCE for durable goods declined slightly, those for nondurable goods
increased slightly, and those for services were largely unchanged; the
MARs are generally within about 0.1 percentage point of those in the
previous study (see Fixler and Grimm 2008). The MARs for durable goods
are more than twice those for nondurable goods and four times those for
services.
The MARs for gross private domestic investment are considerably
larger than those for PCE and its major components; they range from 6.8
to 7.2 percentage points. As will be further discussed below, these
large MARs reflect large revisions to change in private inventories.
MARs for fixed investment, which excludes change in private inventories,
are less than half as large as those for total investment. Within fixed
investment, the MARs for both nonresidential investment and residential
investment are both noticeably larger than the total, with those for
residential investment being larger. Within nonresidential investment,
the MARs for both structures and equipment and software investment are
considerably larger than the MARs for total nonresidential fixed
investment. At all levels of disaggregation, there is little or no
tendency for the MARs to decline for later vintages.
The MARs for both exports and imports range from somewhat less than
4 percentage points to somewhat more than 6 percentage points; they are
generally in the same size range as the components of fixed investment.
Unlike those for the investment components, the MARs decline by about a
seventh from the advance estimates to the second estimates. The MARs
remain about unchanged for the third estimates.
The MARs for total government consumption expenditures and gross
investment are roughly twice the size of those for PCE, but smaller than
those for the other major components of GDP. The MARs for state and
local government consumption expenditures and gross investment are less
than half the sizes of those for Federal defense expenditures and much
smaller than those for nondefense expenditures. The revisions to the
estimates of nondefense expenditures reflect a change in the accounting
treatment of purchases and sales of agricultural goods by the Commodity
Credit Corporation that was made in 1991. This accounting change is
responsible for more than two-thirds of the MARs for nondefense
expenditures, but it does not affect the estimates of GDP.
The MRs for GDP and its components are smaller, generally much
smaller, than the MARs for GDP because the MARs are functions of both
the MRs and the variances of the estimates, which by definition are
positive. This occurs because individual revisions are both positive and
negative and tend to offset one another. For most of the measures shown
here, there is little or no tendency for MRs to become smaller with
successive vintages of estimates. As discussed below, comprehensive
revisions contain definitional revisions that have generally tended to
increase both the levels and the growth rates of GDP.
The MRs for both current-dollar and real GDP are rather small and
positive. The MR for the advance estimate of current-dollar GDP is 0.3
percentage point and that for real GDP is 0.2 percentage point. The MRs
for the second and third estimates of both current-dollar and real GDP
are somewhat more than 0.1 percentage point. The MRs of the components
and subcomponents of current-dollar and real GDP are both positive and
negative, and the sign of the MR may vary with successive vintages. The
MRs are generally less than 1.0 percentage point for most measures and
vintages. Larger negative MRs for nondefense expenditures reflect an
accounting change in the classification of Commodity Credit Corporation
purchases and sales. The modest sizes of the MRs indicate that the
successive estimates have preserved the trends of GDP components over
time.
The MRs for GDP and its components generally do not indicate bias.
These revisions reflect definitional changes that are part of
comprehensive revisions that are made to improve the estimates (Fixler
2004). These definitional revisions have generally, but not universally,
raised both the levels and rates of change in GDP and some components.
The revisions from the third estimates to the latest available
estimates of current-dollar GDP to revisions of its major components are
positively correlated (table 2). Because it is not possible to calculate
percent changes for change in private inventories, both gross private
domestic investment and fixed investment are shown. Revisions to imports
are negatively correlated with revisions to GDP, as is expected, because
imports are subtracted in the calculation of GDP. Revisions to federal
government expenditures are also negatively correlated, but the
correlation coefficient is not significantly different from zero.
The standard deviations of revisions are somewhat larger than the
MARs for the various components, and the standard deviations for
vintages have similar patterns and relationships to those of the MARs
(table 1). Standard deviations also can be used to test whether the MRs
are statistically significant. For 1983-2009, the MRs for the advance
estimates of current-dollar GDP are statistically significant, but the
MRs for the advance, second, and third estimates of real GDP are not
statistically significant. (4) This is the first time that a
statistically significant MR has been found for any estimates of GDP.
(5) As reported previously (Fixler and Grimm 2008, 19), the MRs for both
the second and third estimates of both current-dollar and real equipment
and software investment are also statistically significant. These
estimates, in turn, are reflected in statistically significant MRs for
both the second and third estimates of real (but not current-dollar)
nonresidential fixed investment and fixed investment. The MRs for the
advance estimates of current-dollar and real exports and of real state
and local government consumption expenditures and gross investment are
also statistically significant.
The signs of the correlations of revisions among the components are
mixed, with nearly half of them being negative (table 2). These negative
correlations are symptomatic of the tendency for revisions to components
to offset one another. The offsets, in turn, are why the MARs for
various vintages of GDP tend to be smaller than those for all of the
major components except PCE.
Comprehensive NIPA revisions tend to increase both the levels and
the growth rates of GDP. In the four of the five most recent
comprehensive revisions, the MRs for current-dollar GDP were positive,
with an average of 0.05 percentage point (table 3). In the periods
covered by the comprehensive revisions, the revisions are cumulative.
The MARs for the five comprehensive revisions averaged nearly 0.6
percentage point.
Some of these revisions are due to the benchmarking the NIPA
estimates to quinquennial input-output tables, but the MARs also reflect
definitional changes and other statistical changes that are a part of
comprehensive revisions. For example, a major change in the October 1999
comprehensive revision was the reclassification of business expenditures
for software from intermediate consumption (which is not a component of
GDP) to fixed investment. (For a discussion of this reclassification,
see "Revisions to Annual Estimates of GDP.")
Although the MR for GDP that resulted from the 2009 comprehensive
NIPA revision was 0.03 percentage point, the MRs for the components
range from -0.12 percentage point to 0.42 percentage point (table 3).
Three of the MRs for the major GDP components were positive and three
were negative, and the effects of the positive MRs outweighed those of
the negative MRs. The MARs for the components range from 0.30 percentage
point for PCE to 1.45 percentage points for imports. The MAR for GDP is
smaller than the MARS for a majority of the components because of the
negative correlations of the revisions to the components.
It is useful to examine revisions from earlier vintages of the
estimates to subsequent vintages. The MARs for the quarterly GDP
estimates increase rapidly from the second estimates to the first annual
estimates and then more slowly; the MARs for the first annual estimates
are at least two-thirds the sizes of those for the latest estimates
(table 4). The MARs for the second and third estimates to the successive
annual revision estimates continue to increase monotonically; similar
monotonic increases from earlier to later vintages of annual revisions
estimates also occur, and the MARs for all earlier vintages to the
latest estimates are the largest. Because comprehensive benchmark NIPA
revisions occur about every 5 years, the first annual revision contains
the redefinitions and reclassifications about one-fifth of the time; the
second annual revision estimates, about two-fifths of the time, and the
third annual revision estimates, about three-fifths of the time. Thus,
the MARs for the successive annual revision estimates reflect the
effects of these benchmark changes as well as the incorporation of
increasing amounts of annual data that are available with 1-to-3-year
lags.
The MARs for the latest estimates decline steadily from the advance
estimates of GDP through the third annual estimates. This is consistent
with the increasing accuracy of the successive later estimates, assuming
that the latest estimates are the most accurate.
These same patterns generally hold for the five major components of
GDP. The MARs for the various vintages of the estimates of PCE to the
latest estimates are slightly smaller than those for GDP. The MARs for
the latest estimates of government expenditures are modestly larger than
MARs for GDP. The MARs for three vintages of fixed investment are
roughly twice as large. The MARs for the latest estimates of both
exports and imports are up to twice as large for the current quarterly
vintages and for the first annual revision estimates. The MARs for the
second and third annual revision estimates of exports and imports are
only modestly larger than those for fixed investment.
Estimates of GDP components and recent recessions
One indication of the usefulness of early vintage real GDP
estimates is provided by their ability to accurately portray the path of
real GDP before, during, and after recessions. In most of this study,
three recessions in the sample period of 1983-2009 are used. The most
recent recession in 2007-2009 is also in this period, but only the first
annual revision estimates are available for the full period of decline,
and the third annual revision estimates will not be available until the
second half of 2012. Vintages of GDP estimates are also available for
two earlier recessions, 1980 and 1981-82. (6) The examination of all
five recessions results in some limitations. In particular, this study
looks at revisions for just the eight quarters leading up to, and
including the peaks of each cycle. It also looks at revisions for the
quarters after the peaks until the quarters of the troughs. The study
does not look at the periods of recovery after troughs. The 1981-82
recession began just 12 months after the trough of the 1980 recession,
and the intervening period is too short to permit a good comparison with
the other recoveries. In addition, there are no fully revised data for
the period after the trough in 2009. Thus, it is possible to study only
three recoveries, and they are sufficiently different from one another
so that no strong conclusions can be drawn.
This study thus examines revisions before and during the five
recessions, from the third current quarterly to the second annual
revision vintage estimates, and to the latest estimates.
Generally, the MARs for GDP and its components in the eight
quarters before recessions are smaller to slightly larger than the MARs
for all the quarters in the 1983-2009 period. (table 5). This suggests
that there is little or no deterioration in accuracy in the periods
immediately before recessions or during recessions. However, earlier
studies by BEA found that current quarterly estimates in the periods
around the troughs of recessions performed somewhat less well than they
did around cyclical peaks.
Comprehensive revisions have generally preserved the patterns of
change in and around recessions. As indicated in chart 3, the revisions
to the rates of change in real GDP in the July 2009 estimates before the
August 2009 comprehensive revision and the estimates after the
comprehensive revision around the 1990-91 recession were only minor. (7)
The pattern of revisions around the 2001 recession is also preserved,
though the small decrease in the third quarter of 2000 was revised up to
an even smaller increase (chart 4). The pattern of revisions is again
generally preserved before and during the 2007-2009 recession (chart 5);
however, in the fourth quarter of 2007 and the first quarter of 2008,
the directions of change were reversed.
These revisions include revisions to seasonal adjustments; an
earlier study found that revisions to seasonal adjustments were about as
large as the revisions to seasonally adjusted GDP (Fixler and Grimm,
2003). It is not possible to measure the effects of revisions to
seasonal adjustments during recessions because seasonal adjustment
factors are not available for all of the components. According to Fixler
and Grimm, it is possible to conclude that the 2009 comprehensive
revision preserved the patterns of real GDP in and around the five most
recent recessions. (8)
[GRAPHIC 3 OMITTED]
News versus noise
It is often asked whether the revisions result from news (new
information) or noise (measurement error). (9) Answers can be found by
looking at correlations between the vintage growth rates of GDP and the
revisions to various quarterly vintages of GDP (table 6). (10) The
shaded sections show the correlations that if significant, indicate the
importance of new information ("news"). The unshaded sections
show the correlations that if significant, indicate the importance of
measurement error ("noise"). For both current-dollar and real
GDP, the majority of the correlations indicate that the importance of
news is statistically significant at the 5 percent level.
[GRAPHIC 4 OMITTED]
Consider the revisions to the quarterly estimates ("advance to
second," "second to third," and "third to first
annual"). For current-dollar GDP, 10 of the 15 correlations in the
shaded section are significant, and for real GDP, 14 of the 15
correlations in the shaded section are significant, so this is strong
evidence in favor of the news hypothesis. Conversely, in the unshaded
sections, for current dollar GDP, none of the six correlations is
significant, and for real GDP, only two correlations are significant, so
there is little statistical evidence in favor of the noise hypothesis.
The picture changes slightly when the revisions to the annual
estimates are considered. For both current-dollar and real GDP, the
first annual to the second annual revision is significantly correlated
with the growth rates in the advance, second, third, and first annual
vintages. However, the revision from the first annual estimates to the
second annual estimates is not significantly correlated with the growth
rates in the second annual, third annual, and latest vintages; this is
strong evidence in favor of the noise hypothesis for this vintage. The
correlations for the revision from the second annual estimates to the
third annual estimates and the revision from the third annual estimates
to latest estimates are ambiguous, with only a few indications of either
news or noise.
Revisions to contributions to changes in real GDP
Insight into the robustness of early vintage estimates is provided
by comparing the contributions to percent changes in real GDP by its
major components. It is desirable that successive vintages of estimates
of the contributions maintain similar patterns. Table 7 shows the
contributions of GDP's five major components for the years before
the most recent recession that began in December 2007 and for the first
year of the recession. Each year is an average of four quarters of the
contributions of components. The succeeding blocks show the
contributions of personal consumption expenditures, gross private
domestic investment, exports, imports, and government consumption
expenditures and gross investment. For a given year, the revisions
across the vintages to the contributions of each component are small in
comparison to the year-to-year fluctuations in contributions. The
directions (signs) of the contributions stay the same across the
vintages. Further, the ordinal rankings of the components'
contributions (from most positive to most negative) are invariant over
the successive vintages. Thus, the early vintage estimates of
contributions may be judged as quite robust.
Revisions to Annual Estimates of GDP
The MRs, MARs, and standard deviations for the "early"
annual estimates and the three succeeding current annual estimates are
shown in table 8. The estimates are in percentage changes of annual
estimates of current-dollar GDP and real GDP and their major components.
The revisions to these estimates reflect the 2010 annual NIPA revision.
The MARs for both current-dollar GDP and real GDP are much smaller
than the MARs and standard deviations for the three current quarterly
vintages. Like the annual revision of the quarterly estimates of
current-dollar GDP and real GDP and their major components, the MARs
tend to decline with successive vintages of estimates; however, the
tendencies of the revisions to components of GDP are not entirely
monotonic. The smaller revisions to the components reflect two factors:
(1) annual estimates are unaffected by revisions to seasonal
adjustments, and (2) revisions that affect the quarterly estimates, such
as the replacement of extrapolations with interpolations between annual
estimates, do not affect annual estimates. (11)
The patterns of the standard deviations for both the annual
estimates and for the quarterly estimates are similar, but the
deviations for the vintages of the annual estimates are smaller than
those for the vintages of the current quarterly estimates. However, the
MRs for the vintages of the annual estimates are generally in the same
size range as those for the vintages of the current quarterly estimates.
The MRs for the annual estimates of both current-dollar GDP and real GDP
are all positive, and those for the annual revisions to the real GDP
estimates are about 0.1 percentage point larger than those for
current-dollar GDP estimates. (12) Most of the MRs are positive, but the
MRs for the first two annual vintages of estimates of both
current-dollar and real fixed investment are negative.
The effects of definitional changes on trends in growth can be
examined by looking at revisions to the ratios of various components to
GDP from the early annual estimates to the latest estimates. Most
changes have had only modest effects on the trends that existed before
the changes. For example, even though there have been a number of
definitional changes that affected the estimates of government
consumption expenditures and gross investment--such as the changed
treatment of Commodity Credit Corporation purchases and sales--the ratio
of government consumption expenditures and investment to GDP has changed
little (chart 6); it has maintained its general pattern over time, and
there are only modest year-to-year deviations in the ratio from early
annual estimates to latest estimates. Typically, this is the effect that
most of the definitional changes have on GDP.
Some changes, however, have had larger effects on trends in growth.
For example, the change to fixed investment in the 1999 comprehensive
revision affected in the trend in growth (business expenditures for
software were added to fixed investment). Until 1999, the pattern of the
trend in growth from the early annual estimates of fixed investment to
the latest estimates is generally the same; the early annual estimates
are well below the latest estimates. For 1999 forward, the early and
latest annual estimates differ little because both vintages of estimates
incorporated the change. Including business expenditures on software as
investment raised GDP by slightly less than 0.5 percent in 1983, about
1.5 percent in 1998, and nearly 2.0 percent in 2009. Thus, the
reclassification of software noticeably increased both the levels and
growth rates of GDP and raised the ratio of fixed investment to GDP.
Another perspective on MRs can be obtained by scaling the MRs for
GDP and its major components by the mean percent changes in the
measures. No particular trends in the MRs for GDP and its components are
evident, though the absolute value of the MRs for GDP increases steadily
from the early annual estimates--which are first published in April of
the following year--to the third annual revisions (table 9).
Definitional revisions as part of comprehensive NIPA revisions tend to
result in increases in the growth rates of GDP. However, absolute values
of the MRs of three of the five components are larger for the third
annual estimates than they are for the early annual estimates
[GRAPHIC 6 OMITTED]
The mean percent changes, however, vary over the various vintages
of estimates. From the early annual estimates to the first annual
estimates, the mean percent changes for GDP and all the major components
except government consumption expenditures and gross investment decline.
For both the second annual and third annual vintages of estimates, the
mean percent changes for GDP and all the major components increase.
The absolute values are small: except for the early annual
estimates of government expenditures, all of the values are 0.12 or
smaller. This is consistent with other findings that mean revisions are
small.
Revisions to Quarterly Estimates of GDI
Advance estimates of GDI are not prepared, and since 1995, second
quarterly estimates of GDI for the fourth quarter have not been
prepared. The naming convention used for the current quarterly vintages
of GDI and its components are the same as those used for GDP. Thus, for
example, although no advance estimates are prepared for GDI and some of
its components, the estimates of GDI and components that are published
the month after the advance estimates of GDP are called the second
estimates. When advance and second vintages of the quarterly estimates
of components of GDI have been published, revisions statistics for these
are shown (table 10). The MARs for GDI and its components show little or
no tendency to decline with successive vintages of estimates.
Beginning with the first quarter of 2001, a fourth vintage of the
current quarterly estimate of compensation of employees--and thus of GDI
and net national factor income--has been prepared. This estimate uses
source data from the Quarterly Census of Employment and Wages (QCEW),
and it is published at the same time as the second estimate of the
following quarter (see the box "Vintages and Timing of
Revisions"). These fourth estimates are discussed separately;
because there are only 32 observations in the sample period, the
findings are much less robust than those for the other current quarterly
vintages.
The MAR for the third estimate of GDI is almost 0.2 percentage
point larger than the MAR for the third estimate of current-dollar GDP.
(13) Similarly, the standard deviation for the third estimate of GDI is
about 0.3 percentage point larger than the standard deviation for the
third estimate of current-dollar GDP. The MR for GDI, however, is just
above 0.02 percentage point, compared with the MR for GDP of 0.1
percentage point. In sum, the revisions statistics for GDI are
reasonably similar to those for GDP.
The MARs for all of the components of GDI are larger than MARs for
GDI, and some are much larger. The calculation of MARs for some
components--including business current transfer payments, current
surplus of government enterprises, and rental income of persons--is not
feasible, either because of definitional changes during the sample
period or because of negative values in some quarters that make the
calculation of percent changes impossible.
The MARs for net national factor income are slightly more than 1
1/2 times the size of those for GDI. (14) Among the components of net
national factor income, only compensation of employees has MARs similar
to those for net national factor income. The MARs for corporate profits
and for net interest are roughly 10 times the size of those for GDI.
MRs for GDI and its components are smaller than the MARs, and none
are statistically significant.
The MAR for the fourth quarterly estimates of compensation of
employees is nearly a fifth smaller than that for the third estimates.
This is an indication that the introduction of QCEW source data, which
are more comprehensive and broader than the survey-based estimates of
nonsupervisory wages used in the third estimates, adds to the
reliability of the compensation estimates. The fourth estimate also has
a MR of 0.02 percentage point, one-tenth the size of the MRs for the
earlier vintages of estimates.
The MAR for the fourth estimate of GDI, however, is noticeably
larger than that for the third estimate because a substantial negative
correlation between revisions to employee compensation and revisions to
GDI less compensation in the third estimate is supplanted by a near-zero
correlation between the two revisions in the fourth estimates. This
occurs as judgmental trends incorporated in the third estimates are
replaced by source-data-based inputs from the QCEW. The MARs of net
national factor income also increase from the third estimate to the
fourth estimate. Fourth estimates of all the other GDI components are
unchanged from the third estimates.
Composition of GDI
The relative importance of the major components of GDI has not
changed from the earliest estimates to the latest estimates. In
1983-2009, compensation of employees is 55 to 58 percent of GDI, with
somewhat higher values in the 1980s and somewhat lower values in the
2000s. In this period, taxes on production and imports are 7 to 8
percent of GDI, and consumption of fixed capital is 7 to 8 percent.
Subsidies are roughly 0.5 percent of GDI. The remainder, about
one-quarter of GDI, is operating surplus.
The main components of operating surplus are corporate profits, net
interest, proprietors' income, and rental income of persons. (15)
The ratios of corporate profits for the third current quarterly
estimates, the July 2009 estimates before the 2009 comprehensive
revision, and the estimates after the comprehensive revision to GDI
range from about 7 percent to 12 percent of GDI (chart 7). (16) The
pattern of all three vintages of estimates are similar: declines in the
recessions of 2001 and 2007-2009 and gradually rising values in
2002-2006. The third current quarterly estimates are more volatile than
the other two vintages, but the pattern of these estimates is the same.
[GRAPHIC 7 OMITTED]
The sum of the other components of operating surplus show little
trend over time. The ratios of the third current quarterly estimates are
generally somewhat lower than the ratios of the other two vintages and
are somewhat more volatile. Upward revisions to the comprehensive
revision estimates reflect upward revisions to rental income of persons.
As a result, the ratios of the third current quarterly estimates range
from about 12 to 15 percent of GDI and the ratios of the other two
vintage estimates range from about 13 to 16 percent of GDI, with the
ratios of the comprehensive revision estimates ranging from 0.4 to 1.3
percentage points higher than the ratios of the prerevision estimates to
GDI.
The general picture of the ratio of national saving to GDI is also
consistent across vintages of estimates. It is similar for the ratios of
both the third current quarterly estimates and the 2009 comprehensive
revision estimates. From early 2000 to the middle of 2009, the ratios
for both vintages of estimates fall by nearly half (chart 8). In
2004-2007, the third current quarterly estimates roughly level off, but
the 2009 comprehensive benchmark revision estimates of the ratio were
higher than in the immediately preceding period. This reflects higher
ratios of personal saving to GDI that are mostly due to upward revisions
to personal income that are greater than upward revisions to personal
outlays; personal current taxes are little revised.
[GRAPHIC 8 OMITTED]
In summary, over time, the shares of GDI and the patterns of growth
of the major components of GDI have been maintained over the course of
all the vintages of estimates.
Revisions to Annual Estimates of GDI
The MAR for the early annual estimate of GDI is about half the size
of the MAR for the fourth quarterly estimate (tables 10 and 11). MARs
decline sharply in the first and second annual revision estimates and
are about unchanged in the third annual revision estimate. The MARs for
the early annual estimates of private consumption of fixed capital and
for taxes on production and imports are both less than a third the size
of those for the third quarterly estimates, and the MARs for subsequent
vintages of the annual estimates decrease steadily.
The MARs for the early annual estimates of net national factor
income are less than half the size of the MARs for the third quarterly
estimates (table 11), and they also decline steadily with subsequent
vintages.
The MARs for the annual estimates of the other components of G DI
are also less than the MARs for the current quarterly estimates of these
components, and they decline from the early annual estimates through the
second annual revision. The MARs for the third annual revision estimates
increase slightly for compensation of employees and proprietors'
income.
The MRs for all the components of GDI except corporate profits and
the second and third annual revision estimates of net interest are
generally positive. Like the quarterly estimates, the MRs for the annual
estimates are much smaller than the MARs for GDI and for its components.
GDP and GDI
GDP and GDI are both measures of the same concept of activity in
the U.S. economy (Fixler and Nalewaik 2004). They are constructed using
different source data, but they are, in theory, estimates of the
economic output of the economy. The true state of the economy is never
known, but it is reasonable to assume that in any period, both GDP and
GDI present a more or less unbiased estimate of output.
The relative merits of GDP and GDI as measures of economic activity
have been discussed extensively. For a recent discussion, see Nalewaik
(2010) and the accompanying comments by Landefeld (2010). Nalewaik finds
some explanatory power for revisions of GDP from the early estimates of
GDI; the paper argues that GDI has some superior statistical properties
and finds some significant relationships between GDI and some other
cyclical measures, especially the unemployment rate. (17) Landefeld
points out that missing source data prevents preparing advance estimates
of GDI for all quarters and second estimates of GDI for the fourth
quarter. He also suggests that the quality of source data for the other
current quarterly estimates of GDP is superior to that of GDI. Depending
on which vintage of estimates is examined, the strength of the
underlying source data is key to perceptions of accuracy. For example,
the second annual revision estimates of GDI, which are the first vintage
to incorporate tax data into estimates of the income components, have a
slightly lower MAR than that for the second annual revision estimates of
GDP, while the first annual MAR for GDI is much larger than that for
GDP.
The difference between GDP and GDI is known as the statistical
discrepancy. There are several different vintages of both GDP and GDI,
and for each vintage pair of GDP and GDI estimates, there is an
associated statistical discrepancy. Chart 9 depicts the statistical
discrepancy for three vintages of GDP and GDI. Each vintage is expressed
in logged form in order to convert the exponential trend in GDP and GDI
to a linear trend before taking the difference.
It seems likely that a weighted average of GDP and GDI might have
smaller revisions because the measurement errors in the early vintages
are unlikely to be perfectly correlated. In table 12, the variances of
different weighted sums of GDP and GDI for the third quarterly estimate
and for the latest estimate for 1983-2009, for 1983-1992, and for
1993-2009 are shown. The largest MARs are for GDI in all three periods.
The weighted averages are constructed by assigning weights (that sum to
one) to the levels of GDP and GDI. The percent changes underlying the
table are those of the weighted-together levels.
The weighted averages have smaller MARs than either GDP or GDI
alone. This is consistent with GDP and GDI being independent measures of
the same variable--unknown true economic activity. For both the third
estimates and the latest estimates, GDP has a smaller variance than GDI.
The differences, however, are small. For 1983-2009, the MAR of GDP is
about 0.2 percentage point smaller than the MAR of GDI and about 0.1
percentage point larger than the smallest MAR for weighted averages of
GDP and GDI. These MARs may be compared with an average rate of growth
of current-dollar GDP of 5.6 percent.
[GRAPHIC 9 OMITTED]
Based on the quality of source data, the earlier estimates of GDP
should be more accurate than the earlier estimates of GDI. Nearly
four-sevenths of the source data for the third current quarterly
estimates of GDP--and thus the early annual vintage--are based on
monthly or revised monthly data (Grimm and Weadock 2006). In contrast,
only about one-sixth of the source data for the third current-quarterly
estimates of GDI is based on comprehensive or direct indicator data
(Holdren and Grimm 2008).
Note that the variances of the weighted average are not linear with
respect to the weights because GDP and GDI are not perfectly correlated
(table 12). In fact, for the latest estimates, the correlation between
the two series is sufficiently low so that a weighted average of GDP and
GDI has a lower variance than GDP itself. If both GDP and GDI are each
interpreted as the sums of true, unobserved, economic activity and
measurement errors, it is possible to infer that a weighted average of
GDP and GDI is a more accurate measure of output than either GDP or GDI
alone because some of the measurement error is averaged out, and this is
reflected in the reduced magnitude in subsequent revisions to the
weighted average.
In table 12, the largest MARs for GDP, GDI, and selected weighted
averages of the two for each of the three periods are denoted by
boldface numbers, and the smallest by shaded cells. In all the samples,
the MARs for GDI are greater than that those for GDE However, the MAR
for a weighted average of the two series is below the MARs for GDP and
for GDI. In each sample, the smallest MARs are provided by different
weighted sums that are at least 50 percent GDE The MAR is a measure of
both the mean and the spread of the time series of revisions; that is,
even if the revisions have a mean of zero, the revisions would not be
expected to have an MAR of zero, because the revision series exhibits
variance around the mean. As table 12 demonstrates, GDP and GDI vintage
pairs are not perfectly correlated series, meaning that some weighted
average of GDP and GDP offers a more accurate measure of output. More
advanced statistical techniques also find that a combination of GDP and
GDI is preferred to either alone (see the box "Is GDP or GDI
Responsible for the Statistical Discrepancy?").
Another way of comparing GDP and GDI is their performance around
turning points. Grimm (2005) found that neither measure captured all of
the turning-point quarters as determined by the Business Cycle Dating
Committee of the National Bureau of Economic Research (NBER). Around the
peak quarters, weighted sums of one-third to two-thirds of GDP have the
smallest MARs (table 13). GDP alone has the largest MARs, but it is tied
with GDI for the quarter after the peak. Around the trough, GDP also has
the largest MARs. Around the trough, GDI has the smallest MARs, but at
the trough quarter, it has the largest MAR, and a weighted sum favoring
GDP has the smallest. However, because of the small sample size, these
results must be viewed with some caution.
Thus, tables 12 and 13 suggest that weighted sums of GDP and GDI do
better than either alone for large periods of time, and around cyclical
peaks. Around cyclical troughs, the results are less clear,
GDP Price Indexes
Average revisions to the price indexes for GDP and its major
components have much smaller MARs than either real or current-dollar GDP
and its components. For example, the MAR for the third estimates of the
GDP price index is 0.3 percentage point; in comparison, for the third
estimate, the MAR the of real GDP is 1.1 percentage points, and the MAR
for the current-dollar GDP is 1.3 percentage points.
The MARs for the three current quarterly vintages of
estimates--advance, second, and third estimates-are shown in table 14,
page 28. The sample period is 1997 to 2009; current quarterly estimates
of chain prices began during 1996. (18) The largest MARs are for the
price index for imports, followed by those for the price index for
federal nondefense expenditures.
The MRs for the price indexes for GDP and its major components are
generally not smaller than those for real GDP and current-dollar GDP and
its major components. The standard deviations for the price indexes,
however, are smaller. As a result, the MRs for GDP and some of its major
components are statistically significant.
The MRs for all three quarterly vintages of the estimates of the
price index for GDP are statistically significant. The MRs for the price
indexes for all three vintages of residential fixed investment and
government consumption expenditures and gross investment are also
statistically significant. Within government expenditures, the MRs for
price indexes for the advance estimates of the price index of federal
defense expenditures and for all three vintages of state and local
government expenditures are significant. Except for the advance estimate
of current-dollar GDP, these MRs are all larger than the corresponding
MRs for the three vintages of real and current-dollar estimates of GDP.
Another Way of Measuring Revisions
All BEA studies of the revisions to the NIPAs have featured
revisions to percent changes in GDP and its components. Percent changes
are used because the size of the economy has grown greatly over time.
For example, current-dollar GDP in 2009 is about 4 times the size of GDP
in 1983, and a 1 dollar revision in 1983 is proportionally a much larger
revision than a 1 dollar revision in 2009. Similarly, real GDP in 2009
is somewhat more than twice the size of real GDP in 1983.
The use of percent changes has some disadvantages. First, percent
changes cannot be used to measure changes in measures such as change in
private inventories that have both positive and negative values; a
percent change has no meaning, for example, when going from a negative
value in one period to a positive value in the next period. This
limitation means that the importance of revisions to inventories cannot
be directly examined. Similarly, because net exports may have both
positive and negative values, it may not be possible to calculate
percent changes for all periods. Second, the effects of percent changes
in two components cannot be directly compared. For example, a 1 percent
revision to PCE, which accounts for about 70 percent of GDP, means much
more to the overall economy than a 1 percent revision to fixed
investment, which accounts for about 16 percent of GDP. Third, there is
a well-known phenomenon that the revisions to larger aggregates,
measured in percent changes, are typically smaller than those to their
components because their subcomponents' revisions tend to offset
one another. With a percent change formulation, however, the offsets
cannot be examined directly.
An alternative approach is to scale the revisions to produce
dimensionless units so that a 1-unit revision at the end of the period
of analysis means about the same thing as a 1-unit revision at the
beginning of the period. The scaled measures used here are the ratios of
the components to trended activity. First differences in the scaled
measures can be used in the same way that percent changes are used to
measure revisions in the rest of this study.
More formally, the scaling is done by dividing the values of the
components by trend economic activity, which is defined here as a
detrended unweighted average of GDP and GDI that is constructed using a
Hodrick-Prescott filter. (19) Scaled GDP component C of vintage i is
defined as
[C.sub.i,t] = Component [i.sub.t]/[Trendactivity.sub.t]
First differences of the scaled measures are then used instead of
the percent changes. First differences are from the
then-latest-available estimate of the previous quarter (vintage j) to
the ith current quarterly vintage of the then-current quarter.
The first difference is [DELTA] [C.sub.i, t] = [C.sub.i, t] -
[C.sub.j, t - 1].
For example, the first difference for the advance estimate of the
first quarter of 2009 is calculated using the third current quarterly
estimate for the fourth quarter of 2008. The [C.sub.i,t] can be used in
the same types of revisions calculations that the percent changes in
components support. The revision from vintage i to vintage n would be
[R.sub.in,t] = [DELTA][C.sub.n,t] - [DELTA][C.sub.i,t].
The results of this methodology are directly comparable among
components as well as for aggregates like GDE. (20) A 1-unit MAR in a
component will, ceteris paribus, yield a 1-unit MAR in GDE Similarly, a
1-unit revision to one component means the same thing as a 1-unit
revision to another component. (21) A caveat of this approach results
from the fact that there are many ways to calculate trends; the units of
measure are thus internally comparable but cannot be compared with the
results of calculations using a different trend computation methodology.
Measures of the revisions of the third estimates to the latest
estimates are shown in table 15. The scaling methodology allows both the
calculation of revisions to estimates of change in private inventories
and a direct evaluation of their impact on revisions to GDR The ratio of
GDP to trend activity is slightly greater than 1.000 because the trend
measure is not constrained to equal GDP over the sample period. The
ratio of change in private inventories to trend activity is very small,
0.003, reflecting the existence of both positive and negative values in
the various quarters. However, the ratio of the absolute value of change
in private inventories to trend activity is much larger, 0.306.
The MRs are generally small and, with the exception of fixed
nonresidential investment, positive. The MARs are many times larger than
the MRs. The MAR for final sales of domestic product is somewhat larger
than that for GDP, as the revisions to final sales are partly offset by
revisions to change in private inventories. If the sample period for
federal government expenditures is shortened to 1992 in order to
eliminate the effects of the revised accounting treatment for Commodity
Credit Corporation purchases and sales, the MAR for federal government
expenditures is reduced by somewhat more than half. Unlike the percent
change calculations, the MARs for all of the components of GDP are
smaller than the MAR for GDP. The MAR for change in private inventories
is the largest among the components, and the MAR for state and local
government is the smallest (chart 10). The ordinal rankings of sizes of
the MARs for components is quite different from that shown for the
percent changes in table 1.
[GRAPHIC 10 OMITTED]
An "intensity" measure may be calculated that scales the
MARs by the ratios of the components to trend activity. This scaling
allows the direct comparison of revisions to one component of GDP to the
revisions to all of the other components, and thus the evaluation of the
importance of the revisions of one component compared to those of other
components. This is useful because indirect comparisons using percent
changes have suggested that revisions to inventories were
disproportionately important in revisions to GDP relative to revisions
to other components. In the calculations, the intensity of change in
private inventories is obtained by dividing the revisions in the scaled
estimates by the ratio of the absolute values of change in private
inventories to trend activity. (And similarly for the other components
of GDP.) Although the intensity for change in private inventories is
more than 2 1/2 times as large as that for GDP, it is well within the
range of the intensities of the other components. Thus, by the intensity
measure, the revisions to change in private inventories are not
outliers.
Summary and Conclusions
The results of this review are generally consistent with those of
previous studies. (22)
* The estimates of GDP and GDI are accurate; the MARs for both
measures are modestly above 1.0 percentage point.
* The MRs for both GDP and GDI are near zero and reflect the
improvements in measures of economic activity and the expansions of the
definition of economic activity that have been introduced in
comprehensive NIPA revisions that adapt the NIPAs to a changing economy.
* Revisions to the major components of GDP have preserved the
trends found in the early estimates.
* The quarterly estimates are accurate indicators of whether the
economy is growing at rates above, near, or below the long-term trend.
* The MARs for all of the annual estimates of GDP and GDI are half,
or less than half, of those for the current quarterly estimates. The
MARs decline modestly with each succeeding vintage of estimates from the
early annual estimates to the third annual revision estimates.
* The revised estimates of GDI and compensation of employees that
are published 5 months after the end of each quarter reduce the MAR for
compensation but not the MR for GDI.
* GDI provides additional and valuable information about the course
of true economic activity, which is never observed.
* The MARs for price indexes for GDP and its major components are
small in comparison with the MARs for the corresponding real and
current-dollar measures.
Vintages and Timing of Revisions
The Bureau of Economic Analysis (BEA) prepares quarterly and annual
estimates of gross domestic product (GDP) and gross domestic income
(GDI). It prepares three current quarterly vintages of GDP
estimates--advance, second, and third estimates. The advance estimates
for a quarter are released about a month after the quarter ends. The
second estimates for the quarter are released about 2 months after the
quarter ends. And the third estimates are released about 3 months after
the quarter ends. In addition, as part of the annual revision of the
national income and product accounts (NIPAs) that are released in late
July of each year, the quarterly estimates for the 3 preceding years are
revised.
For GDI, BEA prepares a fourth vintage of quarterly estimates.
These revised estimates, which incorporate data from the Quarterly
Census of Employment and Wages, are released with the second estimates
of GDP for a quarter. These revised estimates are available beginning
with the estimates for the first quarter of 2002.
BEA initially prepares four vintages of annual estimates--early
annual, first annual, second annual, and third annual estimates. For GDP
and GDI, the early annual estimates for a year are the sum of the third
quarterly estimates for that year. The estimates of GDP are released in
March with the third estimates for the fourth quarter of the year. The
estimates of GDI are released with the release of the fourth estimate
for the fourth quarter of the year in late May. In most years, the
quarterly estimates for the first quarter of the previous year is from
the first current annual estimate released the previous summer.) The
current annual estimates for the 3 preceding years are revised as part
of the annual NIPA revision. After the third annual revision of the
estimates for a year is released, these estimates are not revised or
released again until the next comprehensive revision.
Annual NIPA revisions estimates are superseded by comprehensive
NIPA revisions, which occur about every 5 years. These revisions
incorporate changes in definitions, in classifications, and in
statistical methodology. The most recent comprehensive revision was
released in late July 2009. It presented revised annual estimates for
1929-2008 and revised quarterly estimates for 1947-2008. The latest
available estimates are the comprehensive revision estimates for
1947-2006, the third annual estimates for 2007, the second annual
estimates for 2008, and the first annual estimates for 2009.
Is GDP or GDI Responsible for the Statistical Discrepancy?
The difference between the GDP and GDI--the "statistical
discrepancy"--can be large and persistent over time. Though GDP and
GDI are constructed using different source data, conceptually, they are
estimates of the same entity--the economic output of the economy.
Therefore, the statistical discrepancy can be thought of as the sum of
the measurement error in GDP and the measurement error in GDI. We
investigate which measure of output--GDP or GDI--contributes more to the
statistical discrepancy.
Let [Y.sub.GDP,t] denote the log level of GDP, and let
[y.sub.GDI,t] denote the log level of GDI at time t. Then let
[x.sub.t] = [y.sub.GDP,t] - [y.sub.GDI,t]
denote the statistical discrepancy (in log levels). If each measure
of output is comprised of "true" output ([y.sub.TRUE,t]) and a
measurement error ([u.sub.GDP,t] for GDP and [u.sub.GDI,t], for GDI),
then the statistical discrepancy is the difference between the
measurement errors. Algebraically,
[x.sub.t] = [y.sub.GDP,t] - [y.sub.GDI,t]
= [y.sub.TRUE,t] + [u.sub.GDP,t] - [y.sub.TRUE,t] - [u.sub.GDI,t]
= [u.sub.GDP,t] - [u.sub.GDI,t].
Hence, the statistical discrepancy can be thought of as the sum of
the measurement error in GDP less the measurement error in GDI.
The Kalman (1960) filter was used to estimate "true"
output that is based on the observable time series of GDP and GDI. The
filter works by predicting "true" output growth in the current
period through the use of "true" output growth in the previous
period. It then constructs the mean square error of observed GDP and GDI
output growth in the current period. The filter updates the estimate of
"true" growth in the current period by minimizing the mean
square error (the sum of variance and squared bias) of GDP and GDI
growth. The filter recursively estimates the whole time series of
"true" output growth by recursively updating the estimates
until no further reductions in mean square error can be made. This
approach is used by Greenaway-McGrevy (forthcoming) to decompose the
growth rates in the latest current-dollar estimates of GDP and GDI into
"true" growth in output and measurement errors over 1983-2009.
The chart exhibits the statistical discrepancy [x.sub.t] and the
cumulative measurement error in GDP and the cumulative measurement error
in GDI.
Note that by construction, at each point and time t, the solid
black line (the statistical discrepancy) is equal to the sum of the
other two lines (GDP and GDI measurement errors). The measurement error
series that more closely tracks the statistical discrepancy indicates
which source--GDP or GDI--is more responsible for measurement error. It
is clear from the chart that the solid green line more closely tracks
the solid black line, particularly since the early 1990s, indicating
that GDI measurement error is mostly responsible for the statistical
discrepancy.
[GRAPHIC OMITTED]
References
Denison, Edward F. 1971. "Welfare Measurement and the
GDP." SURVEY OF CURRENT BUSINESS 51 (January): 13-15.
Fixler, Dennis J. 2004. "Revisions to GDP Estimates in the
United States." Paper presented at the OECD Workshop on Revisions,
Paris, October 7.
Fixler, Dennis J., and Bruce T. Grimm. 2006. "GDP Estimates:
Rationality Tests and Turning Point Performance." Journal of
Productivity Analysis 25 (June): 213-229.
Fixler, Dennis J., and Bruce T. Grimm. 2008. "The Reliability
of the GDP and the GDI Estimates." SURVEY OF CURRENT BUSINESS 88
(February): 16-32.
Fixler, Dennis J., and Bruce T. Grimm. 2002. "Reliability of
GDP and Related NIPA Estimates." SURVEY OF CURRENT BUSINESS 82
(January): 9-27.
Fixler, Dennis J., and Bruce T. Grimm. 2005. "Reliability of
the NIPA Estimates of U.S. Economic Activity." SURVEY OF CURRENT
BUSINESS 85 (February): 9-19.
Fixler, Dennis J., and Bruce T. Grimm. 2003. "Revisions,
Rationality, and Turning Points in GDP." Paper presented at the
American Economic Association meeting, Washington, DC, January 3-5. BEA
Working Paper WP2003-01.
Fixler, Dennis J., and Jeremy Nalewaik. 2004. "News, Noise,
and Estimates of the 'True' Unobserved State of the
Economy." BEA Working Paper WP2005-08.
Greenaway-McGrevy, Ryan. 2011. "IS GDP or GDI a Better Measure
of Output? A Statistical Approach" BEA Working Paper. Forthcoming.
Grimm, Bruce T. 2005. "Alternative Measures of U.S. Economic
Activity in Business Cycles and Business Cycle Dating." BEA Working
Paper WP2005-05.
Grimm, Bruce T. 2007. "The Statistical Discrepancy." BEA
Working Paper WP2007-01.
Grimm, Bruce T., and Robert P. Parker. 1998. "Reliability of
the Quarterly and Annual Estimates of GDP and Gross Domestic
Income." SURVEY OF CURRENT BUSINESS 78 (December): 12-21.
Grimm, Bruce T., and Teresa L. Weadock. 2006. "Gross Domestic
Product: Revisions and Source Data." SURVEY OF CURRENT BUSINESS 86
(February): 11-15.
Hodrick, Robert, and Edward C. Prescott. 1997. "Postwar U.S.
Business Cycles: An Empirical Investigation)' Journal of Money,
Credit, and Banking 29 (January: 1-16.
Holdren, Myssa E., and Bruce T. Grimm. 2008. "Gross Domestic
Product: Revisions and Source Data." SURVEY OF CURRENT BUSINESS 88
(December): 14-20.
Kalman, R.E. 1960. "A New Approach to Linear Filtering and
Prediction Problems." Journal of Basic Engineering 82 (January):
35-45.
Mankiw, Gregory N., and Matthew D. Shapiro. 1986. "News or
Noise: An Analysis of GNP Revisions." SURVEY OF CURRENT BUSINESS 66
(May): 20-25.
Okun, Arthur M. 1971. "Social Welfare Has No Price Tag."
SURVEY OF CURRENT BUSINESS 51 (July, part II): 129-133.
Young, Allan H. 1996. "Reliability and Accuracy of Quarterly
GDP Estimates: A Review." In The New System of Economic Accounts,
edited by John W. Kendrick, 423-449. Norwell, MA: Kluwer Academic
Publishers.
By Dennis J. Fixler, Ryan Greenaway-McGrevy, and Bruce T. Grimm
(1.) Neither GDP nor GDI is a measure of welfare. BEA has
previously published articles by Edward Dennison (1971) and Arthur Okun
(1971) that argued that it is not possible to modify the NIPAs to
produce unambiguous measures of welfare.
(2.) No major measure of economic activity has captured the
cyclical peaks and troughs in all the postwar recessions. This applies
to the quarterly measures of GDP and GDI and to the four monthly
measures emphasized by the Business Cycle Dating Committee of the
National Bureau of Economic Research in determining peaks and troughs;
see Grimm (2005).
(3.) This growth rate was affected by the most recent recession.
The growth rate from 1983 to 2007 was 3.1 percent.
(4.) The MRs for the advance to second estimates of current-dollar
GDP are significant.
(5.) Two previous studies reported no statistically significant MRs
for any current quarterly estimates of current-dollar or real GDP (see
Fixler and Grimm 2005, 2008). The newly significant finding results from
the addition to the sample period of about one-third more quarterly
estimates, subsequent to the period that was used in the previous
studies. With increasing sample size, the likelihood of statistical
significance increases.
(6.) Vintage estimates of GDP and its components begin with 1978.
(7.) Although not shown here, the revisions to real GDP in the 1980
and 1981-82 recessions were quite small, even in comparison with the
revisions around the 1990-91 recession.
(8.) An earlier, unpublished study by BEA found that with the
exception of upward revisions to real gross national product in the
1973-75 recession, there has been no tendency to revise away recessions
over time.
(9.) For a more complete discussion, see Mankiw and Shapiro (1986).
(10.) The most recent revisions for the third annual quarterly
estimates are for 2005.
(11.) Fixler and Grimm (2002) found that revisions to seasonal
adjustments were about as important as revisions to source data in
determining the overall revisions to estimates.
(12.) These positive MRs are statistically significant and this,
too, is consistent with the tendency for the growth rates of GDP to be
revised up at the times of comprehensive revisions.
(13.) Second estimates are not compared because there are no
fourth-quarter estimates for 1995 and thereafter. Fixler and Grimm
(2002) found differences in the MARs for GDP estimates for the different
quarters of the year, and the lack of second estimates of GDI for the
fourth quarter would make the comparisons of dubious value.
(14.) Net national factor income is the measure in the present
accounts that is most similar to the concept used for national income in
the accounts before the 2003 comprehensive NIPA revision.
(15.) The other components are business transfer payments, which
are 1 percent or less of GDI, and current surplus of government
enterprises, which has ranged from -0.1 to 0.2 percent of GDI.
(16.) The first quarter of 2009 is the last quarter that third
current quarterly estimates were published before the comprehensive
revision; the first quarter of 2000 was selected as the starting point
in order to simplify this examination. Advance and second current
quarterly estimates of GDI are not available for all quarters.
The third current quarterly estimates for 2000 are 2003 benchmark
estimates, third annual revision estimates for 2001-2005, second annual
estimates for 2006, first annual estimates for 2007, and third current
quarterly estimates for 2008 and the first quarter of 2009.
(17.) As part of the preparation for this article, the authors
reexamined the statistical relationship between the unemployment rate
and the statistical discrepancy (noted by Nalewaik) and found that the
apparent contemporaneous correlation was vitiated when lags and serial
correlation corrections were included in the regression equations.
(18.) The switch to chained price indexes began in 1996, and the
1997 start for the sample period is based on this.
(19.) The trend estimates here use a penalty (lambda) parameter of
1,600 and are not unique; a different lambda--or an alternative
methodology such as a logarithmic trend will yield somewhat different
estimates of trend activity. The detrending is not ideal, because the
shares of the components in the total tend to change somewhat over time.
In particular, the share of imports increases from less than 10 percent
in 1983 to more than 16 percent in 2007, before declining cyclically.
(20.) This methodology cannot be used for real GDP. BEA estimates
real GDP by chaining together its components. As a result, real GDP does
not equal the sum of its components.
(21.) Because the constant-share assumption does not quite hold,
the results of the scaled revisions for the components are not precisely
additive; this has little effect on the qualitative results described
here.
(22.) Although not included in this review, the reliability of real
GDP estimates around the most recent five recessions--excluding the most
recent recession--are the same as that presented in a previous study
(Fixler and Grimm 2005). Full revisions are not yet available for the
most recent recession.
Table 1. Average Revisions to Quarterly Estimates of GDP and
Its Major Components in 1983-2009
[Percentage points]
Mean Standard
revision deviation
Current- Current-
dollar Real dollar Real
Gross domestic product
Advance * 0.31 0.21 1.41 1.62
Second 0.13 0.10 1.35 1.60
Third 0.14 0.12 1.39 1.62
Personal consumption
expenditures
Advance 0.29 0.20 1.52 1.49
Second 0.20 0.11 1.47 1.41
Third 0.21 0.14 1.51 1.43
Durable goods
Advance 0.40 0.36 5.39 5.43
Second 0.36 0.30 5.25 5.26
Third 0.30 0.21 5.35 5.36
Nondurable goods
Advance 0.18 0.45 2.62 2.60
Second -0.07 0.21 2.38 2.39
Third -0.05 0.24 2.43 2.39
Services
Advance 0.08 -0.04 1.68 1.34
Second 0.08 -0.09 1.70 1.34
Third 0.09 0.00 1.67 1.43
Gross private domestic
investment
Advance -0.46 -0.85 9.11 9.10
Second -0.63 -0.92 9.05 9.26
Third -0.71 -1.10 9.12 9.20
Fixed investment
Advance 0.12 -0.49 3.58 3.84
Second -0.35 * -0.83 3.34 3.65
Third -0.52 * -1.05 3.40 3.68
Nonresidential
Advance 0.02 -0.51 4.30 4.75
Second -0.66 * -1.10 4.34 4.74
Third * -0.82 * -1.34 4.25 4.72
Structures
Advance * 0.96 0.41 8.42 7.72
Second 0.13 -0.02 7.95 7.17
Third 0.15 0.19 7.69 6.58
Equipment and
software
Advance -0.25 -0.48 4.90 5.75
Second * -1.06 * -1.27 5.20 5.85
Third * -1.42 * -1.65 5.01 5.68
Residential
Advance 0.19 -0.48 6.10 6.00
Second 0.10 -0.24 5.67 6.08
Third -0.01 -0.38 6.01 6.14
Change in private
inventories (1) ... ... ... ...
Net exports of goods and
services (1)
Exports
Advance * 1.92 * 1.74 5.47 5.38
Second 0.72 0.69 4.87 4.74
Third 0.36 0.36 4.88 4.82
Imports
Advance 0.69 0.10 9.10 9.81
Second 0.23 -0.81 8.34 10.31
Third -0.24 -1.03 8.57 10.43
Government consumption
expenditures and gross
investment
Advance 0.34 0.37 3.43 3.93
Second 0.10 0.14 3.44 3.85
Third 0.18 0.32 3.40 3.87
Federal
Advance 0.25 -0.06 7.68 8.88
Second -0.07 -0.18 7.88 8.85
Third 0.16 0.15 7.78 8.81
Defense
Advance 0.27 -0.47 3.40 4.60
Second 0.22 -0.19 3.45 3.95
Third 0.32 -0.16 3.47 4.03
Nondefense (2)
Advance -2.74 0.26 37.24 39.21
Second -3.87 0.04 37.63 40.13
Third -2.88 0.13 34.97 38.41
State and local
Advance 0.35 * 0.46 2.22 2.14
Second 0.16 0.29 2.08 2.14
Third 0.18 0.34 2.10 2.16
Mean
absolute revision
Current-
dollar Real
Gross domestic product
Advance 1.16 1.31
Second 1.06 1.29
Third 1.06 1.32
Personal consumption
expenditures
Advance 1.18 1.19
Second 1.11 1.09
Third 1.10 1.11
Durable goods
Advance 4.17 4.09
Second 4.17 4.13
Third 4.15 4.12
Nondurable goods
Advance 1.99 2.02
Second 1.75 1.88
Third 1.76 1.86
Services
Advance 1.19 1.02
Second 1.14 1.03
Third 1.13 1.04
Gross private domestic
investment
Advance 6.88 6.82
Second 7.18 7.22
Third 7.18 7.07
Fixed investment
Advance 2.80 3.01
Second 2.59 2.90
Third 2.57 3.03
Nonresidential
Advance 3.46 3.75
Second 3.54 3.79
Third 3.40 3.85
Structures
Advance 6.91 5.92
Second 6.27 5.39
Third 6.21 5.14
Equipment and
software
Advance 3.83 4.38
Second 4.13 4.53
Third 4.14 4.60
Residential
Advance 4.68 4.46
Second 4.31 4.67
Third 4.13 4.49
Change in private
inventories (1) ... ...
Net exports of goods and
services (1)
Exports
Advance 4.55 4.36
Second 3.81 3.62
Third 3.85 3.69
Imports
Advance 6.02 6.55
Second 5.17 5.86
Third 5.11 5.81
Government consumption
expenditures and gross
investment
Advance 2.24 2.55
Second 2.23 2.46
Third 2.26 2.50
Federal
Advance 4.80 5.28
Second 4.93 5.31
Third 4.95 5.33
Defense
Advance 3.52 3.01
Second 3.35 2.81
Third 3.36 2.78
Nondefense (2)
Advance 15.47 17.73
Second 16.01 18.09
Third 15.62 17.69
State and local
Advance 1.71 1.72
Second 1.54 1.69
Third 1.58 1.69
* Significant at p-values [less than or equal to] 0.05.
(1.) Percentage changes cannot be calculated because of negative
values in some quarters.
(2.) A 1991 change in the accounting treatment of purchases and
sales of agricultural goods by the Commodity Credit Corporation
affected nondefense revisions, but not GDP revisions.
The MARs for the advance, second, and third estimates for
1992-2009 are 4.54, 4.57, and 4.56, respectively.
Table 2. Correlation Coefficients of Revisions From Third
to Latest Quarterly Estimates of Real GDP
and Its Major Components in 1983-2009
Personal Gross
consumption private
GDP expenditures domestic
investment
Personal consumption
expenditures 0.52 ... ...
Gross private domestic
investment 0.48 -0.02 ...
Fixed investment 0.39 0.11 0.39
Exports 0.30 -0.10 0.17
Imports -0.31 -0.05 0.30
Federal government
consumption expenditures
and gross investment -0.16 -0.13 -0.51
State and local government
consumption expenditures
and gross investment 0.33 0.19 -0.03
Fixed
investment Exports Imports
Personal consumption
expenditures ... ... ...
Gross private domestic
investment ... ... ...
Fixed investment ... ... ...
Exports 0.13 ... ...
Imports 0.04 0.06 ...
Federal government
consumption expenditures
and gross investment -0.03 -0.20 0.01
State and local government
consumption expenditures
and gross investment 0.10 -0.15 -0.15
Federal
government
consumption
expenditures
and gross
investment
Personal consumption
expenditures ...
Gross private domestic
investment ...
Fixed investment ...
Exports ...
Imports ...
Federal government
consumption expenditures
and gross investment ...
State and local government
consumption expenditures
and gross investment 0.00
Table 3. Average Revisions to Quarterly Estimates of Current
Dollar GDP and Its Components in Comprehensive Revisions
[Percentage points]
Mean
Year of comprehensive Mean absolute
revision GDP Period revision revision
1991 1983:I-1991:III 0.05 0.76
1996 1983:I-1995:III -0.04 0.60
1999 1983:I-1999:II 0.16 0.54
2003 1983:I-2003:III 0.03 0.56
2009 1983:I-2009:I 0.03 0.43
Average ... 0.05 0.58
Mean
2009 comprehensive Mean absolute
revision Components Period revision revision
Personal consumption 1983:I-2009:I 0.02 0.30
expenditures
Nonresidential fixed 1994:I-2009:I 0.42 0.78
investment
Residential fixed investment 1994:I-2009:I -0.12 0.52
Exports 1986:I-2009:I -0.09 0.79
Imports 1986:I-2009:I 0.03 1.45
Government consumption
expenditures and gross
investment 1983:1-2009:1 -0.02 0.42
(1.) The first quarters of the periods vary because the revisions
to estimates of some components were carried back further than
others.
Table 4. Mean Absolute Revisions to Successive Vintages of
Changes in Current-Dollar GDP and Its Components in 1983-2009
[Percentage points]
Vintage of revision
used as standard
Second Third First
annual
Gross domestic product
Advance 0.55 0.68 1.03
Second ... 0.27 0.82
Third ... ... 0.80
First annual ... ... ...
Second annual ... ... ...
Third annual ... ... ...
Personal consumption expenditures
Advance 0.38 0.44 0.80
Second ... 0.26 0.78
Third ... ... 0.75
First annual ... ... ...
Second annual ... ... ...
Third annual ... ... ...
Fixed investment
Advance 1.39 1.63 2.51
Second ... 0.74 1.94
Third ... ... 1.82
First annual ... ... ...
Second annual ... ... ...
Third annual ... ... ...
Exports
Advance 3.00 3.40 4.00
Second ... 1.57 2.86
Third ... ... 2.90
First annual ... ... ...
Second annual ... ... ...
Third annual ... ... ...
Imports
Advance 3.83 3.92 5.53
Second ... 1.33 3.96
Third ... ... 3.84
First annual ... ... ...
Second annual ... ... ...
Third annual ... ... ...
Government consumption
expenditures and gross
investment (1)
Advance 0.75 0.97 1.21
Second ... 0.29 1.09
Third ... ... 1.08
First annual ... ... ...
Second annual ... ... ...
Third annual ... ... ...
Vintage of revision
used as standard
Second Third Latest
annual annual
Gross domestic product
Advance 1.15 1.16 1.22
Second 0.99 1.06 1.13
Third 0.98 1.06 1.13
First annual 0.62 0.84 1.06
Second annual ... 0.54 0.96
Third annual ... ... 0.88
Personal consumption expenditures
Advance 1.00 1.10 1.18
Second 0.92 1.01 1.11
Third 0.91 1.01 1.10
First annual 0.61 0.77 1.01
Second annual ... 0.52 0.87
Third annual ... ... 0.72
Fixed investment
Advance 2.91 2.87 2.80
Second 2.61 2.57 2.59
Third 2.60 2.52 2.57
First annual 1.96 2.50 2.54
Second annual ... 1.61 2.28
Third annual ... ... 2.11
Exports
Advance 4.34 2.62 4.55
Second 3.14 3.62 3.81
Third 3.35 3.82 3.81
First annual 2.15 2.85 3.57
Second annual ... 1.87 2.76
Third annual ... ... 2.79
Imports
Advance 5.64 5.95 6.02
Second 4.29 4.45 5.17
Third 4.29 4.27 5.11
First annual 2.42 2.56 3.71
Second annual ... 1.47 2.57
Third annual ... ... 2.41
Government consumption
expenditures and gross
investment (1)
Advance 1.26 1.54 1.39
Second 1.24 1.52 1.37
Third 1.21 1.47 1.37
First annual 0.70 1.14 1.22
Second annual ... 0.87 1.03
Third annual ... ... 0.85
(1.) For 1992-2009, changes in the accounting treatment of
Commodity Credit Corporation purchases and sales in earlier years
result in MARS for this component that have no effect on the MARs
for GDP
Table 5. Mean Absolute Revisions in the Quarters Before and Du
Five Recessions in 1980-2009
[Percentage points]
Eight quarters
before the peak
Third Third
quarterly quarterly
to second to latest
annual quarterly
Gross domestic product 0.6 1.6
Personal consumption expenditures 0.5 1.3
Gross private domestic investment 2.8 5.2
Exports 2.6 2.4
Imports 2.2 2.6
Government consumption expenditures
and investment 2.6 1.3
Peak to trough
Third Third
quarterly quarterly
to second to latest
annual (1) quarterly
Gross domestic product 0.4 0.6
Personal consumption expenditures 0.3 0.4
Gross private domestic investment 1.6 2.1
Exports 0.6 1.0
Imports 0.7 2.3
Government consumption expenditures
and investment 0.9 0.81
All quarters in
1983-2009
Third Third
quarterly quarterly
to second to latest
annual quarterly
Gross domestic product 1.1 1.3
Personal consumption expenditures 1 1.1
Gross private domestic investment 5.7 7.1
Exports 3.5 3.6
Imports 5.6 5.8
Government consumption expenditures
and investment 1.8 2.5
(1.) Four recessions; second annual revision estimates for 2009
have not yet been released.
Table 6. Correlations Between GDP
Growth Rates and Revisions in 1983-2005
Vintage
First
Correlations Advance Second Third annual
Current-dollar GDP
Advance to second -0.06 0.19 0.22# 0.22#
P-value 0.54 0.06 0.03 0.04
Second to third 0.09 0.16 0.29# 0.27#
P-value 0.37 0.14 0.01 0.01
Third to first annual -0.14 -0.14 -0.14 0.28#
P-value 0.17 0.18 0.19 0.01
First annual to second annual -0.26# -0.25# -0.26# -0.30#
P-value 0.01 0.02 0.01 0.00
Second annual to third annual 0.05 0.02 0.00 0.04
P-value 0.63 0.84 0.96 0.97
Third annual to latest 0.01 -0.02 -0.05 -0.15
P-value 0.95 0.81 0.67 0.13
Real GDP
Advance to second 0.14 0.42# 0.40# 0.37#
P-value 0.17 0.00 0.00 0.00
Second to third 0.26 0.25 0.38# 0.30#
P-value 0.01 0.02 0.00 0.00
Third to first annual -0.13 -0.13 -0.14 0.34#
P-value 0.20 0.21 0.17 0.00
First annual to second annual -0.22# -0.21# -0.21# -0.23#
P-value 0.04 0.05 0.04 0.03
Second annual to third annual -0.02 -0.07 -0.07 -0.03
P-value 0.86 0.51 0.49 0.77
Third annual to latest -0.14 -0.15 -0.16 -0.28#
P-value 0.20 0.16 0.12 0.01
Vintage
Second Third
Correlations annual annual latest
Current-dollar GDP
Advance to second 0.24# 0.19 0.14
P-value 0.02 0.08 0.19
Second to third 0.25# 0.20 0.13
P-value 0.02 0.06 0.21
Third to first annual 0.25# 0.23# 0.12
P-value 0.02 0.03 0.27
First annual to second annual 0.00 0.03 -0.07
P-value 0.97 0.75 0.48
Second annual to third annual 0.04 0.35# 0.26#
P-value 0.69 0.00 0.01
Third annual to latest -0.24# -0.30# 0.14
P-value 0.02 0.00 0.20
Real GDP
Advance to second 0.36# 0.30# 0.27#
P-value 0.00 0.00 0.01
Second to third 0.28# 0.26# 0.20
P-value 0.01 0.01 0.06
Third to first annual 0.33# 0.35# 0.24#
P-value 0.00 0.00 0.02
First annual to second annual 0.07 -0.05 -0.02
P-value 0.49 0.62 0.80
Second annual to third annual -0.05 0.25# 0.24#
P-value 0.63 0.02 0.02
Third annual to latest 0.33# 0.34 0.14
P-value 0.00 0.19 0.46
NOTE. Correlations with P-values [less than or equal to] 0.05 are
shown in bold.
NOTE. Correlations with P-values [less than or equal to] 0.05
indicated with #.
Table 7. Contributions to Percent Change in Real GDP
[Percentage points] (1)
Vintage 2005 2006 2007 2008
Gross domestic product
Third quarterly 3.2 3.2 2.5 -0.8
Second annual 2.9 2.5 2.5 -2.7
Latest 2.7 2.5 2.3 -2.7
Personal consumption expenditures
Third quarterly 2.1 2.6 1.9 -1.0
Second annual 2.1 2.2 1.6 -1.3
Latest 1.9 2.3 1.2 -1.3
Gross private domestic investment
Third quarterly 1.1 -0.3 -0.6 -1.6
Second annual 1.0 -0.7 -0.5 -2.8
Latest 0.9 -0.5 -0.3 -2.7
Exports
Third quarterly 0.7 1.0 1.0 -0.2
Second annual 0.7 1.0 1.2 -0.6
Latest 0.7 1.1 1.1 -0.4
Imports
Third quarterly -0.7 -0.6 -0.2 1.4
Second annual -0.9 -0.5 -0.2 1.5
Latest -0.8 -0.7 -0.1 1.0
Government consumption expenditures
and gross investment
Third quarterly 0.2 0.5 0.5 0.7
Second annual 0.2 0.4 0.5 0.6
Latest 0.1 0.3 0.4 0.6
(1.) Gross domestic product estimates are averages of percent
changes for the four quarters of each year and vintage.
Contributions of components are averages of percent change
contribution for the four quarters of each year and vintage.
Table 8. Average Revisions to Annual Estimates of GDP and Its
Major Components in 1983-2009
[Percentage points]
Mean
revision
Current- Real
dollar
Gross domestic product
Early annual 0.18 0.18
First annual 0.17 0.27
Second annual 0.20 0.34
Third annual 0.17 0.35
Personal consumption expenditures
Early annual 0.30 0.28
First annual 0.23 0.35
Second annual 0.21 0.36
Third annual 0.21 0.39
Durable goods
Early annual 0.48 0.60
First annual 0.29 0.38
Second annual 0.34 0.40
Third annual 0.34 0.48
Nondurable goods
Early annual -0.16 0.16
First annual -0.22 0.14
Second annual -0.15 0.20
Third annual -0.18 0.20
Services
Early annual 0.32 0.25
First annual 0.25 0.38
Second annual 0.18 0.35
Third annual 0.17 0.38
Gross private domestic investment
Early annual -0.27 -0.61
First annual -0.17 -0.38
Second annual 0.23 0.25
Third annual 0.15 0.24
Fixed investment
Early annual -0.25 -0.64
First annual -0.28 -0.53
Second annual 0.41 0.35
Third annual 0.30 0.31
Nonresidential
Early annual -0.54 -0.16
First annual -0.35 0.06
Second annual 0.60 1.47
Third annual 0.45 0.41
Residential
Early annual 0.41 -0.09
First annual 0.01 -0.29
Second annual 0.18 0.13
Third annual 0.22 0.17
Change in private inventories (1) ... ...
Net exports of goods and services (1) ... ...
Exports
Early annual 0.34 0.34
First annual 0.47 0.35
Second annual 0.19 0.00
Third annual -0.10 -0.22
Imports
Early annual 0.34 -0.22
First annual 0.24 -0.10
Second annual 0.13 0.16
Third annual 0.03 -0.34
Government consumption expenditures
and gross investment
Early annual 0.16 0.37
First annual 0.07 0.24
Second annual 0.11 0.22
Third annual 0.04 0.14
Federal
Early annual 0.25 0.27
First annual 0.05 0.19
Second annual 0.14 0.23
Third annual 0.17 0.17
Defense
Early annual 0.07 0.02
First annual -0.04 0.05
Second annual 0.03 0.13
Third annual 0.07 0.05
Nondefense
Early annual 0.47 0.28
First annual 0.11 -0.19
Second annual 0.40 0.27
Third annual 0.33 -0.01
State and local
Early annual 0.15 0.29
First annual 0.12 0.27
Second annual 0.10 0.19
Third annual -0.04 0.11
Standard
deviation
Current- Real
dollar
Gross domestic product
Early annual 0.57 0.72
First annual 0.44 0.56
Second annual 0.42 0.47
Third annual 0.33 0.32
Personal consumption expenditures
Early annual 0.69 0.68
First annual 0.54 0.56
Second annual 0.46 0.41
Third annual 0.36 0.29
Durable goods
Early annual 1.22 1.33
First annual 1.21 1.08
Second annual 1.00 0.92
Third annual 1.02 0.95
Nondurable goods
Early annual 0.75 0.98
First annual 0.72 0.88
Second annual 0.60 0.59
Third annual 0.57 0.50
Services
Early annual 0.89 0.84
First annual 0.68 0.63
Second annual 0.74 0.58
Third annual 0.53 0.44
Gross private domestic investment
Early annual 2.32 2.21
First annual 2.20 2.17
Second annual 1.66 1.64
Third annual 1.43 1.39
Fixed investment
Early annual 1.32 1.44
First annual 1.39 1.36
Second annual 0.97 1.11
Third annual 0.97 0.97
Nonresidential
Early annual 2.03 3.24
First annual 1.76 3.08
Second annual 1.25 2.90
Third annual 1.20 3.36
Residential
Early annual 1.67 1.80
First annual 1.18 1.40
Second annual 1.16 1.03
Third annual 1.15 1.02
Change in private inventories (1) ... ...
Net exports of goods and services (1) ... ...
Exports
Early annual 1.03 1.53
First annual 0.82 1.35
Second annual 0.82 1.31
Third annual 1.01 1.42
Imports
Early annual 0.78 1.36
First annual 0.57 1.01
Second annual 0.53 1.40
Third annual 0.57 1.50
Government consumption expenditures
and gross investment
Early annual 0.75 1.02
First annual 0.77 0.99
Second annual 0.81 0.87
Third annual 0.77 0.77
Federal
Early annual 1.38 1.71
First annual 1.57 1.94
Second annual 1.57 1.81
Third annual 1.74 1.83
Defense
Early annual 0.71 1.14
First annual 0.71 0.92
Second annual 0.71 0.68
Third annual 0.77 0.50
Nondefense
Early annual 5.53 5.21
First annual 6.25 4.76
Second annual 6.21 4.81
Third annual 6.68 5.03
State and local
Early annual 1.03 1.20
First annual 0.82 0.94
Second annual 0.85 0.86
Third annual 0.55 0.58
Mean
absolute revision
Current Real
dollar
Gross domestic product
Early annual 0.45 0.62
First annual 0.39 0.53
Second annual 0.30 0.48
Third annual 0.28 0.39
Personal consumption expenditures
Early annual 0.55 0.56
First annual 0.42 0.54
Second annual 0.40 0.36
Third annual 0.31 0.39
Durable goods
Early annual 1.06 1.16
First annual 1.01 0.92
Second annual 0.90 0.83
Third annual 0.94 0.86
Nondurable goods
Early annual 0.63 0.78
First annual 0.61 0.76
Second annual 0.50 0.55
Third annual 0.46 0.44
Services
Early annual 0.68 0.61
First annual 0.54 0.58
Second annual 0.55 0.53
Third annual 0.34 0.43
Gross private domestic investment
Early annual 1.97 1.91
First annual 1.84 1.74
Second annual 1.39 1.35
Third annual 1.09 1.13
Fixed investment
Early annual 1.12 1.34
First annual 1.14 1.21
Second annual 0.87 0.96
Third annual 0.81 0.77
Nonresidential
Early annual 1.76 2.59
First annual 1.48 2.22
Second annual 1.19 2.14
Third annual 1.02 1.89
Residential
Early annual 1.50 1.51
First annual 0.86 1.11
Second annual 0.76 0.68
Third annual 0.77 0.65
Change in private inventories (1) ... ...
Net exports of goods and services (1) ... ...
Exports
Early annual 0.78 1.13
First annual 0.68 1.04
Second annual 0.56 0.82
Third annual 0.59 0.79
Imports
Early annual 0.60 1.04
First annual 0.41 0.73
Second annual 0.35 0.86
Third annual 0.35 0.82
Government consumption expenditures
and gross investment
Early annual 0.61 0.76
First annual 0.57 0.65
Second annual 0.59 0.66
Third annual 0.46 0.49
Federal
Early annual 0.98 1.30
First annual 0.88 1.21
Second annual 0.83 1.17
Third annual 0.90 1.09
Defense
Early annual 0.62 0.95
First annual 0.49 0.74
Second annual 0.41 0.46
Third annual 0.40 0.31
Nondefense
Early annual 3.70 3.41
First annual 3.43 2.69
Second annual 3.18 2.57
Third annual 3.47 2.78
State and local
Early annual 0.89 1.01
First annual 0.65 0.80
Second annual 0.66 0.71
Third annual 0.45 0.42
(1.) Percentage changes cannot be calculated because of
negative values in some quarters.
Table 9. Mean Revisions, Mean Percent Changes,
and the Absolute Values of Their Ratios in 1983-2009
[Latest estimates less annual estimates]
Early First Second Third
annual annual annual annual
Gross domestic product
Mean revision (1) 0.18 0.27 0.34 0.35
Mean percent change (1) 2.79 2.71 2.86 2.99
Absolute value (2) 0.06 0.10 0.12 0.12
Personal consumption expenditures
Mean revision (1) 0.28 0.35 0.36 0.39
Mean percent change (1) 2.97 2.91 3.07 3.21
Absolute value (2) 0.09 0.12 0.12 0.12
Gross private domestic investment
Mean revision (1) -0.61 -0.38 0.25 0.24
Mean percent change (1) 4.09 3.85 4.25 4.82
Absolute value (2) 0.15 0.10 0.06 0.05
Exports
Mean revision (1) 0.34 0.35 0.00 -0.22
Mean percent change (1) 5.58 5.58 6.50 6.72
Absolute value (2) 0.06 0.06 0.00 0.03
Imports
Mean revision (1) -0.22 -0.10 0.16 -0.34
Mean percent change (1) 6.81 6.69 7.23 8.10
Absolute value (2) 0.03 0.01 0.02 0.04
Government consumption
expenditures and gross
investment
Mean revision (1) 0.37 0.24 0.22 0.14
Mean percent change (1) 1.89 2.03 2.08 2.13
Absolute value (2) 0.20 0.12 0.11 0.07
(1.) Percentage points.
(2.) Absolute value is calculated as mean revision divided
by mean percent change.
Table 10. Average Revisions to Quarterly Estimates of
Gross Domestic Income and Selected Components in 1983-2009
[Percentage points]
Mean
Mean Standard absolute
revision deviation revision
Gross domestic income
Advance ... ... ...
Second (1) -0.01 1.71 1.28
Third 0.02 1.70 1.24
Fourth (2) -0.16 1.83 1.43
Private consumption of fixed capital
Advance -0.03 18.53 7.65
Second -0.19 18.67 7.59
Third -0.68 22.34 7.98
Taxes on production and imports
Advance 0.08 3.86 2.88
Second -0.02 3.84 2.85
Third 0.10 3.93 2.91
Net national factor income (3)
Advance ... ... ...
Second (1) 0.18 2.42 1.91
Third -0.07 2.78 2.01
Fourth (2) -0.48 4.07 2.87
Compensation of employees
Advance 0.38 2.68 2.13
Second 0.14 2.65 2.09
Third 0.21 2.93 1.90
Fourth (2) 0.02 2.00 1.54
Proprietors' income
Advance -1.17 13.68 9.88
Second -0.80 13.46 9.72
Third -0.63 12.85 9.24
Nonfarm proprietors' income
Advance -0.99 7.88 5.34
Second -0.62 6.47 4.83
Third -0.49 6.57 4.93
Rental income of persons with IVA
and CCAdj (4) ... ... ...
Corporate profits with IVA and CCAdj
Advance ... ... ...
Second (1) -2.06 18.01 14.35
Third -3.46 23.41 16.82
Net interest and miscellaneous
payments
Advance (5) 2.16 24.27 14.77
Advance 1.53 15.90 9.96
Third 1.20 15.36 10.44
IVA Inventory valuation adjustment
CCAdj Capital consumption adjustment
(1.) Beginning in 1995, there are no fourth-quarter estimates
(2.) Estimates begin in the first quarter of 2002
(3.) Equals national income plus subsidies less taxes on
production and imports, business current transfer payments (net),
and current surplus of government enterprises
(4.) Percentage changes cannot be calculated because of negative
values in some quarters
(5.) Estimates begin in the second quarter of 2002
NOTE. None of the mean revisions are statistically significant at
the 5 percent level
Table 11. Average Revisions to Annual Estimates of Gross Domestic
Income and Selected Components in 1983-20091
[Percentage points]
Mean revision
Early First Second Third
annual annual annual annual
Gross domestic income 0.23 0.13 0.13 0.18
Private consumption of fixed capital 0.66 0.53 0.66 -0.26
Taxes on production and imports 0.46 0.39 0.27 0.09
Net national factor income (2) 0.22 0.17 0.16 0.21
Compensation of employees 0.10 0.11 0.11 0.13
Proprietors' income with inventory
valuation and capital
consumption adjustments 0.71 0.67 0.38 0.74
Nonfarm 0.37 0.51 0.37 0.68
Rental income of persons with
inventory valuation and capital
consumption adjustments (3) ... ... ... ...
Corporate profits with inventory
valuation and capital consumption
adjustments -0.73 -0.32 -0.45 -0.74
Net interest and miscellaneous
payments 1.73 0.95 -0.03 -0.54
Mean absolute revision
Early First Second Third
annual annual annual annual
Gross domestic income 0.74 0.48 0.29 0.30
Private consumption of fixed capital 2.20 1.94 1.67 1.59
Taxes on production and imports 1.14 0.75 0.73 0.67
Net national factor income (2) 0.82 0.60 0.42 0.41
Compensation of employees 0.88 0.37 0.22 0.24
Proprietors' income with inventory
valuation and capital
consumption adjustments 3.79 2.98 2.32 2.51
Nonfarm 3.81 3.34 2.42 2.79
Rental income of persons with
inventory valuation and capital
consumption adjustments (3) ... ... ... ...
Corporate profits with inventory
valuation and capital consumption
adjustments 7.20 6.52 4.19 3.19
Net interest and miscellaneous
payments 6.76 5.77 3.43 2.25
(1.) Periods ending in 2008 for first annual, 2007 for second
annual, 2005 for third annual.
(2.) Equals national income plus subsidies less taxes on
production and imports, business current transfer payments (net),
and current surplus of government enterprises.
(3.) Percentage changes cannot be calculated because of negative
values in some quarters.
Table 12. Mean Absolute Revisions and Variances of the Third
to Latest Estimates of Current-Dollar GDP and GDI
[Percentage points]
Variances, 1983-2009
GDP .75P+.251 .67P+.331 .5P+.51
Third 7.93## 7.94 7.97 8.07
Latest 9.20 8.90## 8.91 9.10
Variances, 1983-2009
.33P+.671 .25P+.751 GDI
Third 8.23 8.33 8.72#
Latest 9.51 9.80 11.00#
Mean absolute revisions
GDP 75P+.251 67P+.331 5P+.51
1983-2009 1.12 1.01 0.99## 1.00
1983-1992 1.07 1.04## 1.06 1.13
1993-2009 1.15 0.98 0.95 0.93##
33P+.671 25P+.751 GDI
1983-2009 1.07 1.13 1.33#
1983-1992 1.21 1.26 1.43#
1993-2009 0.99 1.05 1.27#
NOTES. Bold indicates highest value in row, and shade indicates
lowest value in row.
Percent changes are calculated by xP + (1-x)I, where P denotes the
percent change in GDP, and I that in GDI.
Note: Bold indicates highest value in row indicated by #, and
shade indicates lowest value in row indicated by ##.
Table 13. Mean Absolute Revisions Around Cyclical Turning Points of
the Third to Latest Quarterly Estimates of Current-Dollar GDP and GDI
[Percentage points]
GDP 75P+.251 67P+.331 5P+.51
Prior quarter 3.24## 1.57 1.54 1.48
Peak quarter 2.68## 0.66 0.64# 0.77
After quarter 1.21## 0.74 0.59 0.41#
Prior quarter 2.86## 2.55 2.44 2.32
Trough quarter 2.89## 2.79# 2.88 3.07
After quarter 2.43## 1.83 1.70 1.52
33P+.671 25P+.751 GDI
Prior quarter 1.46# 1.51 1.79
Peak quarter 1.20 1.41 2.06
After quarter 0.57 0.73 1.21##
Prior quarter 2.71 2.15 1.99#
Trough quarter 3.26 3.35 3.72##
After quarter 1.34 1.28 1.11#
NOTES. Recessions: 1969-70, 1973-75, 1980, 1981-82, 1990-91, and
2001.
Bold indicates highest value in row, and shade indicates lowest
value in row.
Percent changes are calculated by xP + (1-x)I, where P denotes the
percent change in GDP, and I that in GDI.
Note: Bold indicates highest value in row indicated by #, and shade
indicates lowest value in row indicated by ##.
Table 14. Average Revisions to Quarterly Estimates of Price
Indexes of GDP and Its Major Components in 1997-2009
[Percentage points]
Mean
Mean Standard absolute
revision deviation revision
Gross domestic product
Advance * 0.25 0.70 0.38
Second * 0.24 0.72 0.36
Third * 0.20 0.69 0.31
Personal consumption
expenditures
Advance 0.07 0.52 0.42
Second 0.11 0.52 0.45
Third 0.12 0.62 0.47
Nonresidential fixed investment
Advance 0.22 0.84 0.78
Second 0.20 0.83 0.75
Third 0.18 0.83 0.72
Residential fixed investment
Advance * 1.38 1.69 1.82
Second * 1.31 1.68 1.57
Third * 1.06 1.55 1.48
Change in private
inventories (1) ... ... ...
Net exports of goods and
services (1) ... ... ...
Exports
Advance -0.14 0.68 0.54
Second 0.01 0.67 0.61
Third -0.09 0.62 0.36
Imports
Advance 0.06 4.36 3.05
Second 0.08 4.33 2.95
Third 0.12 4.33 2.93
Government consumption
expenditures and gross
investment
Advance * 0.55 0.93 0.92
Second * 0.46 0.92 0.87
Third * 0.41 0.91 0.82
Federal defense
Advance * 0.60 1.70 1.35
Second 0.75 4.06 1.85
Third 0.40 1.64 1.24
Federal nondefense
Advance 0.09 2.60 1.82
Second 0.70 5.34 2.42
Third 0.05 2.63 1.84
State and local
Advance * 0.58 1.16 1.05
Second * 0.53 1.05 0.94
Third * 0.47 1.02 0.86
Significant at p [less than or equal to] 0.05
(1.) Estimates are not available.
Table 15. Revisions to GDP and Its Components in 1983-2009
Ratio Mean Mean Intensity
to trend revision absolute
activity revision
Decimal Scaled units Units
Gross domestic product 1.002 0.043 0.272 0.272
Personal consumption
expenditures 0.676 0.024 0.175 0.259
Nonresidential fixed
investment 0.156 -0.009 0.099 0.634
Residential fixed
investment 0.044 0.001 0.039 0.865
Change in private
inventories 0.003 0.005 0.219 0.717
Exports 0.099 0.014 0.087 0.883
Imports 0.127 0.002 0.137 1.085
Federal government
consumption
expenditures and
gross investment 0.077 0.014 0.100 1.299
State and local
government
consumption
expenditures and
gross investment 0.117 0.017 0.053 0.456
Addenda:
Final sales of
domestic product 0.998 0.085 0.324 0.325
Federal government
consumption
expenditures and
gross investment,
1992-2009 0.069 -0.001 0.046 0.667
Activity = (GDP + GDI)/2
Trend activity is HP-filtered activity, with the HP filter curvature
penalty set to 1,600.
Intensity = MAR/Ratio of activity to trend activity
Absolute value of (Change in private industries)/Trend activity for
inventories