Carnegie-Rochester
Conference
Series on Public Policy 28 (1988) 369-378
North-Holland
"ARE THE MACROECONOMICEFFECTS OF OIL-PRICE CHANGES SYMMETRIC?" A COMMENT JAMES 0.
HAMILTON
University
Tatom of
two
analyzes
broad
the
classes
on lagged key of
measures
nominal
GNP that
increase
in
data
functions
energy
real
from
estimated
that
increases
stability
price
decreases
not
correlation,
‘If
one had an expression In GNPt
the l
effects
a4).
of
a given
Because of
instantly *By
just
off
the
-
the coefficient
“e I ast i c i t-y” here
A particular energy prices. estimated parameters should
refer
aggregate
the
are
of
economy
agree
prices. in
A
the
level a
on
l%four
1. production
prices
empirical
and inputs elasticities
stability
added
to
symmetry, as
that
the
to data
of
the
that
much
evidence
energy
price
robustness
1981-85 but
from
these
regression. is,
as
apparent
= X+ + a,iT
on In GNPt in Tatom’s to
the
a
of
across
a
+ Asia,’
by (a0
regression,
this
relating
output
+ a,
+
. . .
sum can be read
(2).
coefficient
theoretical
. . .
would be given
this
equation
model might as
+
In GNPt_5)
pafameterizes
simply
used
+ aliF_,
imply
that
some other
elasticity,
(1981).
0 167 - 2231/88/$03.5001988
regressed
2 and 3.2
1981-85
respect
energy
numerical
the
structural be
estimates
the
is
based
in Table
evidence
actually
on AiF_, I
elasticity
to
augmented
form
in iT_4
way Taton
this
terms
of
following
sumnarized
as
with
In GNPt_,
change
quarters
help must
of the
change
some of
from
One certainly
hurt.
and energy
output
to
GNP growth
policy,
in Tables
attention when data
this
energy
this
regressions
our
elasticities
He interprets
regressions
business-sector
these
calls
of are
and GNP in
consists
percentage four
I have collected
and labor.
Tatom
the
Estimates
of
nominal
predicted
and specifications
relating
as estimated
be 1
is
prices
class
fiscal
policy,
regressions
prices.
sets
class
capital
in which
monetary
would
energy
The first
regressions.
these
second
The
of
of
from
Virginia
between
regressions,
statistic
different
correlation
of
Andersen-Jordan-style
of
Elsevier Science Publishers 8.V. (North-Holland)
as
in
to
the
function Rasche
log of of
the
and Tatom
TABLE
Elasticity with
Respect as
to
of Energy
Estimated
from
Study
Level Price
Tatom
(1981) and
Goodwin
(1986)
of
Nominal
Changes
U.S.
Four
GNP
Quarters
Andersen-Jordan-Style
Sample
Gisser
I
Earlier,
Equations
Period
Elasticity
1955:1-1978:lll
-.099
1%1:1-1982:Iv
-.ll
Tatom
(1987)
1955:1-1980:111
-.Q92
Tatom
(1987)
1955:1-1986:llI
-.
TABLE
Elasticity as
Measured
by
of
Level
Production
of
Function
Study
Output
2
with
Estimates
Sample
102
Respect for
to
U.S.
Energy
Real
Prices
Business-Sector
Period
Output
Elasticity
Rasche
and
Tatom
(1977)
1949-73
-.13
Rasche
and
Tatom
(1977)
1949-75
-.I4
Tatom
(1987)
1948-80
-.053
Tatom
( 1987)
1948-85
-.055
TABLE
Elasticity as
of
Foreign
Country
Real
of by
Output
with
Respect
Production
Function
Business-Sector
Output
Time
Period
to
Energy
Estimates by
Tatom
Prices for
(1987)
Elasticity
Canada
1961-83
-.082
France
1964-83
-.124
1962-83
-.129
1963-83
-.I38
Italy United
Level
Measured
3
Kingdom
370
large number of different data sets and techniques is quite striking. The
key
question
is,
what
economic
forces
account
for
this
In my view, the search for a satisfactory explanation
correlation?
of
either set of regressions must focus on the short-run cyclical consequences Much of the correlation between energy prices and
of energy price shocks.
GNP that Tatom has documented may well be coming from events immediately associated with economic recessions (Hamilton 1983, 1985). magnitude
of
the
elasticity
estimated
from
many
exceeds the value share of energy in total output.
of
Moreover, the
these
regressions
The marginal product of
energy is given by its relative price; thus the effect of energy shortfalls should be bounded by energy's dollar share in total GNP.3
To the extent
that a decline in GNP greater than this magnitude is observed, utilization of some other factor of production must be falling along with energy use, and such changes in utilization may well be part of the business cycle as distinct from long-run trends. Employment of labor is the first place one might look for such shortHere one can choose
run changes in utilization. regard
the
resulting
unemployment
as
involuntary
between accounts that --
unemployment
that
arises from the failure of wages and prices to adjust instantly to marketclearing levels -- and those that treat it as voluntary -- unemployment that would be present even with perfectly flexible wages and prices. labor's marginal
If
product falls with
decreasing
energy
might anticipate some voluntary substitution into leisure.
use,
one
Tatom does not
advocate such an interpretation, and, I presume, for an excellent reason. The secular trend over the last hundred years is towards higher real wages and a shorter work week.
It is accordingly most difficult to defend a
strong positive elasticity of labor supply with respect to the real wage if one
is
talking
about
a permanent
change
in the marginal
product
of
a
representative worker. This observation motivates Lucas's (1977) and Kydland and Prescott's (1982) attention to explicitly short-run substitution effects
3That
is, 3
holding
In
Y
aY
a
In
E
aE
a
ln
Y
-z-f
capital
and
E
labor
constant,
PE-E
_=Y
Py’Y
and
a in Y =
a in (pE/py)
a
In
E
-.
a
In
E
a 10 (P~/PY) 371
associated
with business-cycle frequencies.
A temporary reduction in labor's marginal
product may well induce a temporary increase in leisure, if there is some substitutability
characterizing
short intervals of time.
labor-leisure
tradeoffs
over
relatively
By contrast, a permanent drop in marginal product
need not affect employment.
Tatom's assumption that energy price changes
matter for aggregate supply primarily to the extent that they are perceived as permanent is thus fairly specific to the particular model he has in mind for the supply side of the economy. The alternative approach emphasizes wage rigidities as responsible for an
increase
in
involuntary
marginal product.
unemployment
following
a
fall
in
labor's
This theme has been ably developed by Phelps
(1978),
Mark and Hall (1980), and Bruno and Sachs (1985), among others. In both of the above examples, the temporary decline in employment is caused
by
a
decline
in the
marginal
product
of
An
labor.
oil
decrease presumably would have a symmetrically opposite effect. this conclusion
price
However,
assumes that the effects of lower energy use on labor's
marginal product represent an aggregate disturbance across all sectors.
An
oil price increase may produce a boom in the Texas oil fields and a slump Even if the dollar magnitudes of the initial shocks to the two
in Detroit. sectors
balance
each other
there
out,
are
real
short-run
technological
costs associated with shifting labor and capital between the two sectors. Resources may be idled during this shift, or alternatively may be idled if workers and firms decide to wait things out, hoping for an improvement of local conditions. emphasized capital (1982). price
by
has
Ricardo
received
A
(1817). renewed
life
Recent models developing
shocks
Hamilton
The importance of sector-specific physical capital was
have been presented
(1988).
investigated
Moreover,
regressions
in
related
perspective
stressing
in
provocative
work
the
of
human Lilien
Lilien's theme in its relation to oil by
Davis
both
Davis
which
the
(1985), Loungani (1984)
and
empirical
(1985), and
Loungani
(1986)
specification
was
explicitly asymnetric -- unemployment was related to the square rather than the
actual
value
of
oil
price
changes
--
and
reported
a
superior
statistical fit. In addition to adjustments
in labor, the other factor of production
that might account for potential multiplier effects is capital. Manne (1977) and Rasche and Tatom (1981), if the
long-run real
interest rate
Hogan and
among others, have suggested that
is fixed
by time preference,
then a
short-run reduction in capital's marginal product (occasioned by decreased energy use) will ultimately require a reduction in the steady-state ratio 372
of
capital
to
and
theoretically,
While
labor. would
again
it is difficult
connection, energy-price
elasticity
Rasche and Tatom
this
effect
motivate
symmetry
to believe that
reported
the
in
is
certainly in
the
it accounts
plausible
energy-output for
Andersen-Jordan
the
large
regressions.
rightly noted that the adjustment of the capital
(1981)
stock is surely a fairly long-run process.
Moreover, a reduction in the
capital stock is likely to be achieved, at least in the neoclassical growth If one wants
model, by an increase in aggregate spending on consumption.
to arrive at a recession by this mechanism, there must be other factors operating, such as putty-clay technology or rigidities in prices magnifying the consequences of reduced investment demand or lower capital utilization Along this same vein, if capital is putty-clay, uncertainty per se
rates.
about the future course of input prices can motivate a delay in investment commitments decrease
(Bernanke,
1983;
Pindyck
in investment demand
could
and
Rotemberg,
1983),
be a factor contributing
and
this
to rising
unemployment in either the Keynesian or sectoral-shifts account.
Again,
this is a potential asymmetry in the effect of energy shocks arising as a consequence
of
short-run
technological
or
nominal
rigidities
in
the
economy.
To summarize, I find Tatom's theoretical arguments for the symmetry hypothesis unconvincing.
Sectoral shifts and short-run uncertainties seem
likely to play an important role in accounting for the correlations that Tatom
and
others
have documented,
inconsistent with the s-try What then do assembled
and these propagation
for
the
in favor of the falling
are
I make of the empirical evidence that Tatom has ably synaaetry hypothesis?
The apparent
stability of the estimated elasticities reported certainly offers
mechanisms
hypothesis.
oil
prices
of
1981-85
support for Tatom's
are
view of
numerical
in Table 1-3, when data
added
to
symmetry
the
regressions,
in the relation.
However, the Andersen-Jordan regression is stable only when a dummy term for a growth shift beginning in 1981
is added to the regression.
If
the
same linear specification were used as in the earlier period, falling oil prices
(and rapid Ml
growth) would
growth than was actually observed. growth
shift
is a consequence
period rather than as-try
of
have led one to predict faster GNP Tatom's interpretation is that this
the decline
in Ml velocity over
this
in the effects of oil prices on the economy.
It is unclear how one would prove or disprove this claim on the basis of these data.
In any case, it seems unlikely that falling oil prices played
no role in the decline in Ml velocity. 373
Indeed, other regressions presented
by Tatom suggest that falling oil prices made some contribution to lower rates of inflation, and decreases in expected inflation are widely cited as a principal cause of the decline in the velocity of money.
Tatom does test
for interaction between the dummy and energy price coefficients and finds no
statistically significant relation.
However,
acceptance of
the null
hypothesis here may simply reflect the low power associated with trying to estimate seven new coefficients from five years of quarterly data. The
results
from
the
production-function
similarly sensitive to the
role of
regressions
trend terms
seem
to
for productivity
be
growth
I think it is a fair
shifts thought to have occurred in 1967 and 1977.
sumnary of the literature to say that both the timing and the ultimate causes of the productivity
slowdown remain a mystery to economists
(e.g.
Tatom's trend productivity terms may well be completely
Denison, 1979).
exogenous with respect to changes in the energy price regime, but if one were not persuaded of that proposition a priori,
it is not clear how one First-
should interpret the stability of these relationships after 1981. differenced
data
without
the
trend
terms
point
to
a
decrease
in
the
estimated output-energy price elasticity once the period with falling oil prices
added
is
to
the
regression
analysis,
a
result
less
strongly
on
the
dramatic
evaluate
the
symmetry
supportive of the symmetry hypothesis. Tatom decline
argues
in oil prices
other
we
now
have
ample
1981, with
since
data,
which
to
based
However, to the extent that this decline roughly coincides
hypothesis. with
that
important
such
trends,
as
the
decline
in
Ml
velocity
and
exogenous changes in productivity growth, it is difficult to separate the effects. changes
Moreover, in
relative
the
sectoral-shifts
prices
force
the
hypothesis
costly
argues
reallocation
that
of
sharp
labor
and
attributes the resulting increase in unemployment to delays in finding new The
jobs.
therefore
predicted
quite
(Davis, 1987). equally
effects
different
of
a given change
depending
on
the previous
The sharp oil price decline
sharp run-up
in oil
prices
in relative prices
seen
pattern
of
are
changes
in 1981 simply reversed the
in the
It is
previous year.
certainly possible that many of the workers displace by the previous run-up in oil prices simply got their old jobs back in 1982, in which case the oil price
decline
employment
and
of
1981 would
GNP,
according
indeed to
the
have
been
a
factor
sectoral-shifts
in
boosting
hypothesis.
By
contrast, no similar story could be told for the oil price collapse of 1985, which followed a long period of gradually declining oil prices.
An
interesting test of the competing hypotheses would thus be to see whether 374
the coefficients of Tatom's equation (2) are stable across 1985:1-1987:IV; the
symmetry
hypothesis
says
that
hypothesis holds that they would not.
375
they
would,
the
sectoral-shifts
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