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Journal of Monetary Economics
Article . 2003 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
SSRN Electronic Journal
Article . 1999 . Peer-reviewed
Data sources: Crossref
SSRN Electronic Journal
Article . 2002 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2002
Data sources: EconStor
EconStor
Research . 1999
Data sources: EconStor
EconStor
Research . 2003
Data sources: EconStor
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Modest Policy Interventions

Authors: Eric M. Leeper; Tao Zha;

Modest Policy Interventions

Abstract

Abstract We present a theoretical and empirical framework for computing and evaluating linear projections conditional on hypothetical paths of monetary policy. A modest policy intervention does not significantly shift agents’ beliefs about policy regime and does not induce the changes in behavior that Lucas (Carnegie–Rochester Conference Series on Public Policy, Vol. 1, Amsterdam, North-Holland, 1976, pp. 104–130) emphasizes. Applied to an econometric model of U.S. monetary policy, we find that a rich class of interventions routinely considered by the Federal Reserve is modest and their impacts can be reliably forecasted by an identified linear model. Modest interventions can shift projected paths and probability distributions of macro variables in economically meaningful ways.

Keywords

ddc:330, Macroeconomics, Econometric models, Equilibrium (Economics) ; Monetary policy ; Macroeconomics ; Inflation (Finance) ; Econometric models, Monetary policy ; Forecasting ; Vector autoregression ; Econometrics, Inflation (Finance), Vector autoregression, Monetary policy, Equilibrium (Economics), Econometrics, Monetary policy ; Forecasting ; Vector autoregression, Forecasting, jel: jel:E52, jel: jel:E47

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
206
Top 1%
Top 1%
Top 10%
bronze