LEARNING, EXPERIMENTATION, AND MONETARY-POLICY

成果类型:
Article
署名作者:
BERTOCCHI, G; SPAGAT, M
署名单位:
Brown University
刊物名称:
JOURNAL OF MONETARY ECONOMICS
ISSN/ISSBN:
0304-3932
DOI:
10.1016/0304-3932(93)90040-M
发表日期:
1993
页码:
169-183
关键词:
Monetary policy learning
摘要:
We present a model of monetary policy where the policymaker faces uncertainty about which he is learning in a Bayesian fashion. A fixed money supply rule is not optimal since the learning leads to adjustments in the monetary action. We present cases in which it is optimal to bear some cost in terms of current output performance in order to gain information that can be used in the formulation of future monetary policy: experimentation therefore pays. We also show that even passive learning without experimentation still leads to an activist monetary policy, i.e., one that is responsive to new information.
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