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Desirability of Nominal GDP Targeting under Adaptive Learning

  • Mitra, Kaushik

Nominal GDP targeting has been advocated by a number of authors since it produces relative stability of inflation and output. However, all of the papers assume rational expectations on the part of private agents. In this paper I provide an analysis of this assumption. I use stability under recursive learning 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.

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Article provided by Blackwell Publishing in its journal Journal of Money, Credit and Banking.

Volume (Year): 35 (2003)
Issue (Month): 2 (April)
Pages: 197-220

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Handle: RePEc:mcb:jmoncb:v:35:y:2003:i:2:p:197-220
Contact details of provider: Web page: http://www.blackwellpublishing.com/journal.asp?ref=0022-2879

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  21. Bertocchi, Graziella & Spagat, Michael, 1991. "Learning, Experimentation and Monetary Policy," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 1991018, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
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