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Author:Mitra, K.
Title:Desirability of nominal GDP targeting under adaptive learning
Journal:Journal of Money, Credit and Banking
2003 : APR, VOL. 35:2, p. 197-220
Index terms:Gross national product
Learning
Monetary policy
Language:eng
Abstract:Number of authors have advocated nominal GDP targeting since it produces relative stability to inflation and output. All the papers assume rational expectations on the part of private agents. The author of this article provides an analysis of this assumption. Stability under recursive learning is used as a criterion for evaluating nominal GDP targeting in the context of a model with explicit micro-foundations which is currently the workhorse for the analysis of monetary policy.
SCIMA record nr: 252818
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