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Parameters´ Instability, Model Uncertainty and Optimal Monetary Policy

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  • Carlo A. Favero

Abstract

Observed policy rates are smooth. Why should central banks smooth interest rates? We investigate if model uncertainty and parameters instability are a valid reason. We do so by implementing a novel ´´thick recursive modelling´´ approach within the framework of small structural macroeconomic models. At each point in time we estimate all models generated by the combinations of a base-set of $k$ observable regressors. Our econometric procedure delivers 2$^{k}$ models for aggregate demand and supply at any point in time. We compute optimal monetary policies for each of these specifications and then take their average as our benchmark optimal monetary policy. We then compare observed policy rates with those generated by the traditional ´´thin modelling´´ approach to optimal monetary policy and to our proposed ´´thick modelling´´ approach. Our results confirm the difficulty of recovering the deep parameters describing the preferences of the monetary policy makers from their observed behaviour. However, they also show that thick recursive modelling can, at least partially, explain the observed interest rate smoothness.

Suggested Citation

  • Carlo A. Favero, "undated". "Parameters´ Instability, Model Uncertainty and Optimal Monetary Policy," Working Papers 196, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  • Handle: RePEc:igi:igierp:196
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    File URL: ftp://ftp.igier.uni-bocconi.it/wp/2001/196.pdf
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    1. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, Oxford University Press, vol. 115(1), pages 147-180.
    2. Anderson, Evan W. & McGrattan, Ellen R. & Hansen, Lars Peter & Sargent, Thomas J., 1996. "Mechanics of forming and estimating dynamic linear economies," Handbook of Computational Economics,in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 4, pages 171-252 Elsevier.
    3. Sack, Brian & Wieland, Volker, 2000. "Interest-rate smoothing and optimal monetary policy: a review of recent empirical evidence," Journal of Economics and Business, Elsevier, vol. 52(1-2), pages 205-228.
    4. Pesaran, M Hashem & Timmermann, Allan, 2000. "A Recursive Modelling Approach to Predicting UK Stock Returns," Economic Journal, Royal Economic Society, vol. 110(460), pages 159-191, January.
    5. Pesaran, M Hashem & Timmermann, Allan, 1995. " Predictability of Stock Returns: Robustness and Economic Significance," Journal of Finance, American Finance Association, vol. 50(4), pages 1201-1228, September.
    6. Granger, Clive W. J. & Jeon, Yongil, 2004. "Thick modeling," Economic Modelling, Elsevier, vol. 21(2), pages 323-343, March.
    7. Rudebusch, Glenn D. & Svensson, Lars E. O., 2002. "Eurosystem monetary targeting: Lessons from U.S. data," European Economic Review, Elsevier, vol. 46(3), pages 417-442, March.
    8. Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
    9. Onatski, Alexei & Stock, James H., 2002. "Robust Monetary Policy Under Model Uncertainty In A Small Model Of The U.S. Economy," Macroeconomic Dynamics, Cambridge University Press, vol. 6(01), pages 85-110, February.
    10. Söderström, Ulf, 1999. "Should central banks be more aggressive?," Working Paper Series 84, Sveriges Riksbank (Central Bank of Sweden).
    11. Soderstrom, Ulf, 2002. " Monetary Policy with Uncertain Parameters," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(1), pages 125-145.
    12. Rudebusch, Glenn D., 2002. "Term structure evidence on interest rate smoothing and monetary policy inertia," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1161-1187, September.
    13. J. Tetlow, Robert & von zur Muehlen, Peter, 2001. "Robust monetary policy with misspecified models: Does model uncertainty always call for attenuated policy?," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 911-949, June.
    14. Sack, Brian, 2000. "Does the fed act gradually? A VAR analysis," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 229-256, August.
    15. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1.
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    Cited by:

    1. Efrem Castelnuovo, 2002. "Squeezing the Interest Rate Smoothing Weight with a Hybrid Expectations Model," Macroeconomics 0211006, EconWPA.
    2. Efrem Castelnuovo, 2003. "Taylor Rules and Interest Rate Smoothing in the US and EMU," Macroeconomics 0303002, EconWPA.
    3. Efrem Castelnuovo, 2004. "Describing the Fed's conduct with simple Taylor rules: is interest rate smoothing important?," Money Macro and Finance (MMF) Research Group Conference 2003 12, Money Macro and Finance Research Group.

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