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Parameter Instability, Model Uncertainty and the Choice of Monetary Policy

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  • Favero, Carlo A
  • Milani, Fabio

Abstract

This paper starts from the observation that parameter instability and model uncertainty are relevant problems for the analysis of monetary policy in small macroeconomic models. We propose to deal with these two problems by implementing a novel ‘thick recursive modelling’ approach. At each point in time we estimate all models generated by the combinations of a base-set of k observable regressors for aggregate demand and supply. We compute optimal monetary policies for all possible models and consider alternative ways of summarizing their distribution. Our main results show that thick recursive modelling delivers optimal policy rates that track the observed policy rates better than the optimal policy rates obtained under a constant parameter specification, with no role for model uncertainty.

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Bibliographic Info

Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 4909.

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Date of creation: Feb 2005
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Handle: RePEc:cpr:ceprdp:4909

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Keywords: model uncertainty; optimal monetary policy; parameter instability;

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  1. Clarida, Richard & Galí, Jordi & Gertler, Mark, 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," CEPR Discussion Papers 1908, C.E.P.R. Discussion Papers.
  2. Glenn D. Rudebusch & Lars E.O. Svensson, 1999. "Eurosystem monetary targeting: lessons from U.S. data," Working Paper Series 99-13, Federal Reserve Bank of San Francisco.
  3. Gernot Doppelhofer & Ronald I. Miller & Xavier Sala-i-Martin, 2000. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (Bace) Approach," OECD Economics Department Working Papers 266, OECD Publishing.
  4. Glenn D. Rudebusch, 2001. "Term structure evidence on interest rate smoothing and monetary policy inertia," Working Paper Series 2001-02, Federal Reserve Bank of San Francisco.
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  7. Alexei Onatski & James H. Stock, 1999. "Robust monetary policy under model uncertainty in a small model of the U.S. economy," Proceedings, Federal Reserve Bank of San Francisco.
  8. Brian Sack & Volker Wieland, 1999. "Interest-rate smoothing and optimal monetary policy: a review of recent empirical evidence," Finance and Economics Discussion Series 1999-39, Board of Governors of the Federal Reserve System (U.S.).
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  10. Robert J. Tetlow & Peter von zur Muehlen, 2000. "Robust monetary policy with misspecified models: does model uncertainty always call for attenuated policy?," Finance and Economics Discussion Series 2000-28, Board of Governors of the Federal Reserve System (U.S.).
  11. Lars Peter Hansen & Ellen R. McGrattan & Thomas J. Sargent, 1994. "Mechanics of forming and estimating dynamic linear economies," Staff Report 182, Federal Reserve Bank of Minneapolis.
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  14. Sack, Brian, 2000. "Does the fed act gradually? A VAR analysis," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 229-256, August.
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Cited by:
  1. Arnulfo Rodriguez & Pedro N. Rodriguez, 2006. "Recursive Thick Modeling and the Choice of Monetary Policy in Mexico," Computing in Economics and Finance 2006 30, Society for Computational Economics.
  2. Fabio Milani, 2004. "Monetary Policy with a Wider Information Set: a Bayesian Model Averaging Approach," Macroeconomics 0401004, EconWPA.
  3. Efrem Castelnuovo, 2003. "Taylor Rules and Interest Rate Smoothing in the US and EMU," Macroeconomics 0303002, EconWPA.
  4. Efrem Castelnuovo, 2003. "Squeezing the Interest Rate Smoothing Weight with a Hybrid Expectations Model," Working Papers 2003.6, Fondazione Eni Enrico Mattei.
  5. Arnulfo Rodríguez & Pedro N. Rodríguez, 2007. "Recursive Thick Modeling and the Choice of Monetary Policy in Mexico," Working Papers 2007-04, Banco de México.
  6. Oreste Napolitano & Alberto Montagnoli, 2010. "The European Unemployment Gap and the Role of Monetary Policy," Economics Bulletin, AccessEcon, vol. 30(2), pages 1346-1358.

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