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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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References

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Cited by:
  1. Honkapohja, Seppo & Mitra, Kaushik, 2005. "Performance of monetary policy with internal central bank forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 29(4), pages 627-658, April.
  2. George W. Evans & Seppo Honkapohja, 2004. "Adaptive learning and monetary policy design," Macroeconomics 0405008, EconWPA.
  3. 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.
  4. 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.
  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. 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.
  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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