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Desirability of Nominal GDP Targeting Under Adaptive Learning

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  • Kaushik Mitra

Abstract

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. The results of the paper provide support for such a monetary policy.

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Paper provided by Department of Economics, University of York in its series Discussion Papers with number 00/60.

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Handle: RePEc:yor:yorken:00/60

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Postal: Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
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Keywords: Nominal GDP; learning; expectational stability.;

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Cited by:
  1. George W. Evans & Seppo Honkapohja, 2004. "Adaptive learning and monetary policy design," Macroeconomics 0405008, EconWPA.
  2. Heinz-Peter Spahn, 2004. "Learning in Macroeconomics and Monetary Policy: The Case of an Open Economy," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 236/2004, Department of Economics, University of Hohenheim, Germany.
  3. Honkapohja, Seppo & Mitra, Kaushik, 2002. "Performance of monetary policy with internal central bank forecasting," Research Discussion Papers 3/2002, Bank of Finland.
  4. Mewael Tesfaselassie & Eric Schaling & Sylvester Eijffinger, 2004. "Heterogeneous Information about the Term Structure of Interest Rates, Least-Squares Learning and Optimal Interest Rate Rules for Inflation Forecast Targeting," Econometric Society 2004 North American Summer Meetings 78, Econometric Society.
  5. Martin ZUMPE (GREThA UMR CNRS 5113), 2010. "Monetary Policy Rules, Learning and Stability: a Survey of the Recent Literature (In French)," Cahiers du GREThA 2010-01, Groupe de Recherche en Economie Théorique et Appliquée.
  6. Eijffinger, Sylvester C W & Schaling, Eric & Tesfaselassie, Mewael F., 2004. "Heterogenous Information About the Term Structure of Interest Rates, Least-Squares Learning and Optimal Interest Rate Rules," CEPR Discussion Papers 4279, C.E.P.R. Discussion Papers.
  7. Schaling , Eric & Eijffinger , Sylvester & Tesfaselassie , Mewael, 2004. "Heterogeneous information about the term structure, least-squares learning and optimal rules for inflation targeting," Research Discussion Papers 23/2004, Bank of Finland.
  8. Marco Airaudo & Luis-Felipe Zanna, 2012. "Equilibrium Determinacy and Inflation Measures for Interest Rate Rules," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(4), pages 573-592, October.

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