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Parameter Instability, Model Uncertainty and the Choice of Monetary Policy

Author

Listed:
  • Favero Carlo A.

    () (IGIER, Bocconi University and CEPR)

  • Milani Fabio

    () (Princeton University)

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 then 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.

Suggested Citation

  • Favero Carlo A. & Milani Fabio, 2005. "Parameter Instability, Model Uncertainty and the Choice of Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-33, February.
  • Handle: RePEc:bpj:bejmac:v:topics.5:y:2005:i:1:n:4
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Efrem Castelnuovo, 2003. "Taylor Rules and Interest Rate Smoothing in the US and EMU," Macroeconomics 0303002, EconWPA.
    2. Fabio Milani, 2008. "Monetary Policy With A Wider Information Set: A Bayesian Model Averaging Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(1), pages 1-30, February.
    3. Efrem Castelnuovo, 2002. "Squeezing the Interest Rate Smoothing Weight with a Hybrid Expectations Model," Macroeconomics 0211006, EconWPA.
    4. Oreste Napolitano & Alberto Montagnoli, 2010. "The European Unemployment Gap and the Role of Monetary Policy," Economics Bulletin, AccessEcon, vol. 30(2), pages 1346-1358.
    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. 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.

    More about this item

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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