Monetary policy plays a crucial role in shaping economic activity and influencing key macroeconomic variables. This comprehensive analysis by Eric M. Leeper, Christopher A. Sims, and Tao Zha explores the effects of monetary policy innovations on output and prices. The paper investigates the relationship between monetary policy and economic conditions, emphasizing the importance of identifying policy shocks. It is particularly relevant for economists, policymakers, and students studying macroeconomic theory and monetary policy dynamics. The findings suggest that while monetary policy does respond to economic conditions, its direct impact on output and inflation may be limited.

Key Points

  • Analyzes the effects of monetary policy innovations on economic output and prices.
  • Explores the identification of monetary policy shocks in macroeconomic models.
  • Discusses the relationship between monetary aggregates and economic conditions.
  • Evaluates the role of interest rates as indicators of monetary policy effectiveness.
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78 pages
Baroque Art
newtopiccyclegrowin
78 pages
Baroque Art
372
/ 78
ERIC M. LEEPER
Indiana University
CHRISTOPHER A. SIMS
Yale University
TAO ZHA
Federal Reserve Bank of Atlanta
What Does
Monetary Policy
Do?
THERE IS A long tradition in
monetary economics
of
searching for a
single policy variable-perhaps
a
monetary aggregate, perhaps an in-
terest rate-that
is
more
or less controlled
by policy
and
stably related
to economic
activity. Whether
the variable
is
conceived of as
an indi-
cator of policy
or
a measure
of
policy stance, correlations between the
variable and macroeconomic time
series
are
taken
to
reflect the effects
of
monetary policy. Conditions
for the
existence
of
such
a
variable are
stringent. Essentially, policy
choices
must
evolve
autonomously,
in-
dependent
of
economic conditions.
Even the harshest
critics
of
mone-
tary authorities
would not maintain that
policy
decisions
are unrelated
to
the economy.
In
this paper
we extend
a line of
work that builds
on
a
venerable economic
tradition
to
emphasize
the need to
specify
and
estimate behavioral relationships
for
policy.
The estimated
relationships
separate the regular response
of
policy
to the
economy
from the re-
sponse of the economy to policy,
producing
a more
accurate measure
of
the effects of policy changes.
The views
expressed
here
are
not
necessarily
those
of
the Board
of
Governors of
the
Federal Reserve System or the Federal Reserve Bank of Atlanta.
The authors would like
to
acknowledge what they have learned
about the
implementation
of
monetary policy
from conversations with Lois Berthaume,
Will
Roberds,
and
Mary Rosenbaum
of
the
Federal Reserve Bank of Atlanta, Charles Steindel
of
the
Federal Reserve Bank of New
York, Marvin Goodfriend
of
the Federal Reserve
Bank
of
Richmond, and Sheila Tschin-
kel. David Petersen of the Federal Reserve Bank
of Atlanta
helped
both in
locating data
and
in
discussing the operation
of the
money
markets.
1
2
Brookings
Papers
on
Economic
Activity, 2:1996
One sometimes encounters the
presumption
that
models for
policy
analysis
and those for
forecasting
are
sharply distinct:
a
model that is
useful for
policy choice need
not fit the data
well,
and
well-fit models
necessarily sacrifice economic
interpretability.
We do
not share this
presumption and aim to show that it is
possible
to
construct economi-
cally
interpretable models with
superior
fit to the data.
As the
recent empirical
literature
on
the effects
of
monetary policy
has
developed ways of handling more
complex,
multivariate data sets,
a
variety
of new models and approaches has
emerged.
Researchers have
chosen
different data
sets,
made different
assumptions,
and
tended to
emphasize the differences between
their results and
those of
others,
rather
than the commonalities.
This
paper uses
a
single time
frame and
data
set to check the robustness
of
results
in
the literature and
to trace
the nature and
sources
of
the
differences
in
conclusions.
We
analyze
and
interpret
the data without
imposing
strong
economic
beliefs. The
methods
that we
employ permit
estimation of
large
time-
series models and thus more
comprehensive analysis
of the
data. The
models
integrate policy
behavior
variously
with
the
banking system,
with
demand for a broad
monetary aggregate,
and
with a rich
array
of
goods
and financial market variables
to
provide
a
fuller
understanding
of
the mechanism of
monetary
transmission. The combination of
weak
economic
assumptions
and
large
models reveals difficulties of
distin-
guishing
policy effects,
which
other
approaches
fail
to
bring
out.
The size of
the
effects attributed to shifts
in
monetary policy
varies
across
specifications
of
economic
behavior. We show
that most of the
specifications
imply
that
only
a modest
portion (in
some
cases,
essen-
tially
none)
of
the
variance
in
output
or
prices
in
the United
States since
1960 can be attributed to shifts
in
monetary policy.
Furthermore,
we
point
out
substantive
problems
in
the models that
imply large
real
effects
on
output
or
prices
and
argue
that
correcting
these reduces
the
implied size
of the real
effects.
Another robust
conclusion,
common across
these
models,
is
that a
large
fraction
of
the variation
in
monetary policy
instruments
can
be
attributed to the
systematic
reaction
of
policy
authorities
to the state of
the
economy.
This
is
what one would
expect
of
good
monetary policy,
but it is also
the reason
why
it is difficult to use
the historical behavior
of
aggregate
time series to uncover
the
effects
of
monetary policy.
Eric M.
Leeper, Christopher A.
Sims,
and Tao Zha 3
Method
We
use
a class
of
models
called
identified vector
autoregressions
(VARs) that has only
recently begun to be widely used.
Nonetheless,
much of the
previous
empirical
research
on
the
effects
of
monetary
policy uses methods that
fit
within
this
general framework. In
this
section we describe the
framework,
summarize how it differs
from other
popular frameworks,
and consider some common criticisms. In
the
following section
we discuss the
ways
in
which we and
others have
put
substantive meat on this
abstract skeleton.
Model Form and
Identification
Identified vector
autoregressions
break
up
the variation
in
a
list
of
time series into
mutually
independent components,
according to the
following general scheme.
If
y(t)
is
a
(k
x
1)
vector of
time
series, we
write
in
(1)
,
A,y(t
-
s)
=
A(L)y(t)
=
e(t),
s=o
where
L is
a
lag operator
and
the disturbance vector E(t) is
uncorrelated
with
y(s)
for
s
<
t and has an
identity covariance matrix.
I
We assume
that
AO
is
invertible,
which
guarantees
that one can
solve
equation
1
to
produce
t-I
(2) y(t)
=
E
CsE(t
-
s)
+
Eoy(t).
s=o
The
elements
of
Cs,
treated
as functions of
s,
are known
as the
model's
impulse responses
because
they
delineate how each
variable
in
y
re-
sponds
over
time
to
each disturbance
in
E.2
1
Note that we
have omitted any constant terms
in
the
system. There is no
loss of
generality if ones
admits the
possibility
that one of the
equations
takes the form
yk(t)
=
Yk(t
-
1),
with no
error
term,
in which
case
Yk
becomes
the constant.
2. We write as
if
we were sure that
a
correct model
can
be
constructed
in
the
form
of
equations
1
and
2 with our list
of
variables.
If
we have
omitted some
important
variable, this
assumption may be
incorrect.
A
related, but
technically more
subtle point
is
made by Sargent
(1984), who notes
that
it is
possible
for
a representation of
the form
/ 78
End of Document
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FAQs

How do monetary policy innovations affect economic output?
Monetary policy innovations can significantly influence economic output by altering interest rates and liquidity in the financial system. The paper highlights that while these innovations are intended to stabilize the economy, their actual impact may be modest. The authors find that most variations in output can be attributed to other economic factors rather than solely to monetary policy changes. This suggests that understanding the broader economic context is essential when analyzing the effects of policy innovations.
What is the main conclusion regarding the effectiveness of monetary policy?
The main conclusion of the paper is that monetary policy has a limited direct impact on output and prices, as much of the observed variation can be attributed to the economy's response to policy rather than random policy changes. The authors emphasize that while monetary policy does react to economic conditions, its innovations do not account for a large portion of the variance in economic activity. This finding challenges traditional views that monetary policy is a primary driver of economic fluctuations.
What methodologies do the authors use to analyze monetary policy?
The authors employ identified vector autoregressions (VARs) to analyze the effects of monetary policy on macroeconomic variables. This methodology allows them to distinguish between the systematic responses of policy to economic conditions and the effects of policy innovations. By using a comprehensive dataset and robust statistical techniques, they aim to provide a clearer understanding of how monetary policy influences economic dynamics. The paper also discusses the challenges of accurately identifying policy shocks within the VAR framework.
What role do interest rates play in the analysis of monetary policy?
Interest rates are central to the analysis of monetary policy in the paper, as they serve as key indicators of policy effectiveness. The authors argue that changes in interest rates often reflect the Federal Reserve's response to economic conditions rather than independent monetary policy actions. By examining the relationship between interest rates and other economic variables, the paper highlights the importance of considering interest rates when assessing the impact of monetary policy on the economy.
How does the paper address the issue of policy endogeneity?
The paper addresses policy endogeneity by emphasizing the need to identify monetary policy shocks that are truly exogenous. The authors argue that many observed changes in monetary aggregates are responses to economic conditions rather than independent policy actions. By employing a rigorous identification strategy within their VAR framework, they aim to isolate the effects of monetary policy from those driven by the economy. This approach helps clarify the complex interactions between policy and economic variables.

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