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SPECIAL ISSUE

THE FEDERAL RESERVE BANK
OF CHICAGO

MAY 2002
NUMBER 177a

Chicago Fed Letter
Is there still an investment overhang, and if so,
should we worry about it?
by Eric French, economist, Thomas Klier, senior economist, and David Oppedahl, associate economist

Does an overhang in capital equipment still exist? If so, will investment spending
continue to decline? This article finds that an overhang may still exist for some
subsectors of investment, such as telecommunications equipment. This will lead
to below-trend growth in the near future. However, the authors forecast a capital
underhang by the end of 2002, which implies strong investment growth by 2003.

A defining feature of the most recent

1. Cross-correlation of BFI with CU
0.6

0.4

0.2

0

Chicago
City

-0.2

-0.4
-10

-8

-6

-4

-2

0
k

2

4

6

economic slowdown has been the rapid decline of business fixed investment
spending. It wasn’t that long ago that
this sector was growing at 12.2%
(2000:Q2), but growth had slowed dramatically by the end of 2000,
leading to a year of negative growth in 2001. While
investment spending is traditionally very sensitive to
cyclical downturns, there
were two notable features
of the recent decline in investment spending. First, it
declined very rapidly. Second, it led the overall economic slowdown. This has
generally been attributed
to the buildup of excess capital stock during the heyday
8
10
of the Internet bubble.

This Chicago Fed Letter addresses two questions. First,
SOURCE : Authors’ calculations based on data from Bureau of Economic
Analysis and Board of Governors of the Federal Reserve System.
does an overhang in capital
equipment still exist? Second, if there still is an overhang, will investment spending continue
to decline in the near future? We measure overhang using four different approaches, described below. All four of
these approaches lead us to the same
conclusion. Overhang may still exist
NOTE :

Cross-correlation of capacity utilization (CUt ) and annualized
growth of quarterly real business fixed investment (BFI t+k ).

for some subsectors of investment, such
as telecommunications equipment. This
will lead to below-trend growth in the
near future. However, it does not signal
further declines in investment spending.
Instead, it signals an investment path that
is consistent with our current investment forecast of 4.7% growth in 2002.
Approach 1: Capacity utilization

One measure of overhang is capacity
utilization. Manufacturing capacity utilization bottomed in December 2001 at
72.9% and was still only 73.2% in February, well below its average of 81.5% over
the last 40 years. Over that entire period,
capacity utilization was lower than today
only in 1975 and 1982. By this measure,
there definitely is an overhang.
This raises the question of whether capacity utilization will inhibit growth in
the near future. Figures 1 and 2 provide
evidence on the relationship between
capacity utilization in the present and
investment growth in the near future.
Figure 1 shows the cross-correlation of
capacity utilization with business fixed
investment growth. It shows that capacity utilization is positively correlated with
lagged business fixed investment growth.
In other words, falling investment is
correlated with low capacity utilization

2. Episodes with CU manufacturing below 75% since 1960
1961:Q1

1982:Q4

percent

percent

88

20

88

30

85

10

84

20

82

0

80

BFI

10

BFI

79

-10

76

-20

72

73

-30

Chicago
City

76

0

68

CUMFG
-10

CUMFG
-6

-4

-2

0

2

4

6

-20
-6

-4

-2

1975:Q2

0

2

4

Approach 2: Investment
decisions of firms

2002:Q1

percent

percent

90

20

82

86

10

80

82

0

78

78

-10

76

74

-20

74

70

-30

20

72

BFI
BFI

CUMFG
CUMFG

-6
NOTES :

6

-4

-2

0

2

4

6

-6

-4

-2

0

2

4

Dashed line indicates forecast. CUMFG is on the left scale; BFI is on the right.

SOURCES:

Bureau of Economic Analysis and Board of Governors of the Federal Reserve System.

a few quarters out. This is not surprising, given that a drop-off in demand
for investment goods will likely cause
both investment good production and
capacity utilization to decline.
The relevant question, however, is whether low capacity utilization today predicts
low investment growth in the future.
Figure 1 shows that there is a positive
correlation between capacity utilization
today and investment growth over the
next two quarters. This indicates that today’s low capacity utilization signals that
investment growth will be below trend
for the next two quarters. However, capacity utilization is negatively correlated
with investment growth three or more
quarters in the future. This indicates
that today’s low capacity utilization
signals that investment growth will be
above trend by the end of the year.
Figure 2 shows capacity utilization and
investment growth during episodes

rebound in capacity utilization and, thus, the demand
for new investment goods.
Note, however, that in 1975
capacity utilization bounced
back slowly yet investment
bounced back quickly. Overall, we believe that our investment forecast for sluggish
but positive growth over the
next two quarters is consistent with the historical relationship between capacity
utilization and investment
growth.

when capacity utilization fell below 75%.
The vertical line running through the
0 denotes the quarter in which capacity
utilization reached its trough. The horizontal line running through 0 denotes
zero investment growth (investment
changes above the zero line denote
growth). Note that, of the 1961, 1975,
and 1982 episodes, only in 1982 was
investment growth negative one quarter after the trough of capacity utilization. Therefore, figure 2 also suggests
that today’s low capacity utilization indicates only slightly below-trend growth
in the future.
One caveat to this upbeat analysis is
that in previous downturns, capacity
utilization bounced back reasonably
quickly, along with demand for new
manufactured goods. Many observers
argue that because sales of durable
goods were high last year, the quantity
of durable goods sold will increase
slowly this year. This may inhibit the

Another way of thinking
about investment overhang is
10
to consider recent changes
in investment growth. Con0
sider the following explanation for the drop in invest-10
ment spending last year. For
some reason, such as the de-20
cline in equity prices over the
past two years, firms decided
-30
6
that their current capital
stock was too high, creating
an investment overhang.
Therefore, firms began cutting investment spending in
order to bring their capital stock down
to the newly desired level.
Overhang can persist for some time if
it is costly to cut investment spending
instantaneously. While it may be relatively cheap to cancel projects that have
not yet begun, it is costly to cancel
projects that are half-completed, such
as the building of a new factory. As a
result, investment spending can decline
for an extended period. Investment
will continue to decline until firms have
reached their new desired level of capital stock. However, once firms reach
this point, investment should no longer decline. In other words, the path
for investment growth will look like a
U with a single trough so long as there
are no further shocks to the desired
capital stock. We would not expect investment to decline rapidly, hold steady,
and then decline rapidly again, which
would make the investment growth path
look like a W.

why have they stopped cutting investment spending?

3. Ratios of stocks and flows to GDP
1.9

0.16

0.13

1.6

Approach 3: Actual
capital stock versus that
predicted by a model

Our final two approaches
involve comparing the true
capital stock with the capi0.10
1.3
tal stock predicted by a
Capital stock
model. If the current capi0.07
1.0
tal stock is above the level
Capital service flows
predicted by a model, then
there is evidence of over0.04
0.7
hang. Our third approach
1960
1970
1980
1990
2000
uses the prediction of most
NOTES : Dashed line indicates forecast. For capital service flows, 1996 = 1.
models of investment that
SOURCE : Authors’ calculations based on data from Bureau of Economic
Analysis.
the ratio of the nominal
capital stock to nominal
GDP is stable. These modThe data presented in figure 2 are con- els are guided by the empirical fact that
the nominal capital to GDP ratio has
sistent with this story. Note that the
been stable for decades, as has the share
investment paths tend to have a single
of GDP that capital receives (about onetrough. This is not exactly true in
third). The reasoning is as follows.
1960–61, where investment had troughs
in both 1960:Q3 and 1961:Q1. Howev- When the capital to GDP ratio is relatively high, there is a relatively high
er, in both the 1974–75 and 1982 relevel of capital per worker. This makes
cessions, investment spending had a
the return on capital low, causing insingle trough.
vestment to fall. Figure 3 presents this
Given that investment spending will
ratio. As is clear from the figure, the
likely be below trend in 2002:Q1, there
nominal capital to output ratio did not
still may be some overhang. Nevertheincrease during the 1990s. This figure
less, the slower rate of decline in investsuggests there is no overhang.
ment spending likely signals that the
Although the capital to GDP ratio did
remaining overhang is small. After all,
if businesses still have a large overhang, not rise rapidly during the 1990s, the
investment to GDP ratio
did rise rapidly, as shown
4. BFI capital overhang
in figure 3. One reason
that the high investment
$ billion (chain-weighted)
to GDP ratio did not lead
1500
to a high capital to GDP
trend
ratio is that much of the
1400
1990s growth in investment was in computers,
1300
and computers depreciate
rapidly. One thousand
actual
dollars of capital invested
1200
in computers produces a
greater annual service
1100
flow than $1,000 invested
in structures. If the annual
1000
service flow from comput1997
1998
1999
2000
2001
2002
ers were not greater than
NOTE : Dashed line indicates forecast.
the service flow from
SOURCE : Authors’ calculations based on data from Bureau of Economic
Analysis.
structures, nobody would
BFI
(right scale)

ever invest in computers. Firms must
recoup their computer investment
over only a few years, whereas firms
must recoup their structures investment over a much longer period.
Given that a high level of capital services can be obtained with a small capital
stock of computers, it might be reasonable to think that in the long run the
capital to GDP ratio will fall, while the
capital services flow to GDP ratio will
be stable. Service flow of capital is defined such that the present value of service flow from a unit of capital is equal
to its purchase price. A $1,000 computer that fully depreciates in one year gives
an annual service flow of $1,000. A
$1,000 machine that fully depreciates
after ten years has an annual service flow
of approximately $140. Figure 3 shows
that the capital service flow to GDP ratio, normalized to 1 in 1996, increased
slightly in the late 1990s. However, this
run-up was much smaller than the runup of the capital services to GDP ratio
during the late 1970s. Thus, the capital
service flow to GDP ratio does not give
any evidence of a large capital overhang.
Approach 4: Recent versus
historical investment growth

An alternative approach is to directly
predict growth in investment. Investment
growth between 1997 and 2000 was well
above its historical trend. Assuming
no overhang in 1997 (i.e., both capital

Michael H. Moskow, President; William C. Hunter,
Senior Vice President and Director of Research; Douglas
Evanoff, Vice President, financial studies; Charles
Evans, Vice President, macroeconomic policy research;
Daniel Sullivan, Vice President, microeconomic policy
research; William Testa, Vice President, regional
programs and Economics Editor; Helen O’D. Koshy,
Editor; Kathryn Moran, Associate Editor.
Chicago Fed Letter is published monthly by the
Research Department of the Federal Reserve
Bank of Chicago. The views expressed are the
authors’ and are not necessarily those of the
Federal Reserve Bank of Chicago or the Federal
Reserve System. Articles may be reprinted if the
source is credited and the Research Department
is provided with copies of the reprints.
Chicago Fed Letter is available without charge from
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stock and investment were at their
trend levels), the 1997–2000 surge in
investment pushed investment levels
above trend. Figure 4 shows the trend
and actual levels of investment, 1997
to present. By this measure, the level
of investment was 8% above trend at
the start of 2001, and the total overhang was about $284 billion.1 By

1

This is a much larger estimate of investment overhang than presented in the
Wall Street Journal article, “High-tech ‘overhang’: Economic hangover,” on April 30,
2001. Our estimate for information processing alone is $196 billion, versus the
$100 billion cited in that article. Therefore, vis-à-vis many estimates, we are overestimating overhang. We assume that
trend growth rates for information processing equipment, non-information
processing equipment, and structures
spending were equal to their average

2001:Q4, investment rates were 12%
below trend, and the remaining overhang was $139 billion.2 Given arguably
reasonable forecasts of investment,3 investment spending will fall even further below predicted values this year,
causing a capital underhang by the
end of 2002. This indicates strong investment growth by 2003.

growth rates between 1960 and 1997. We
also assume annual depreciation rates of
22% for information processing equipment, 12% for non-information processing equipment, and 3% for structures.
2

When broken down by sector, there is an
overhang of $96 billion in information
processing equipment and $77 billion in
non-information processing equipment.
However, there is an underhang of $34
billion in structures at the end of 2001.

Conclusion

In summary, the four approaches we
presented above point to the possibility of some investment overhang remaining today. However, all four
approaches to investigating overhang
suggest that the remaining overhang is
relatively small and should not significantly inhibit growth in investment
spending later in the year.

3

This model splits business fixed investment
into information processing equipment,
non-information processing equipment,
and structures. Current growth in each
of these sectors depends on lagged
growth rates of investment, profits, the
Institute for Supply Management’s Purchasing Managers Index, and current
and lagged interest rates. This forecast
shows investment spending 4.7% higher
in the fourth quarter of 2002 than in the
fourth quarter of 2001.