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Caution and Gradualism in Monetary Policy Under Uncertainty

Authors: Ben Martin;

Caution and Gradualism in Monetary Policy Under Uncertainty

Abstract

This paper explores the theoretical implication of parameter uncertainty for the optimal monetary policy reaction function. The policy-maker sets the nominal interest rate to meet an inflation target in a simple dynamic model of the economy. The paper looks at how parameter uncertainty in the transmission mechanism affects the optimal nominal and real interest rate relative to the case when the parameters are known. Its chief contribution is to show that three consequences are identified: conservatism (smaller deviations of real and nominal interest rates from some neutral level in response to inflationary shocks), gradualism (increased autocorrelation in real and nominal interest rates) and caution (a smaller cumulative policy response). The paper examines the sensitivity of these effects to different specifications of the transmission mechanism; in particular the introduction of an exchange rate channel. The paper also considers situations in which a more aggressive response may be called for.

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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!
5
Average
Average
Average
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