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Monetary policy inertia: More a fiction than a fact?

  • Consolo, Agostino
  • Favero, Carlo A.

Empirical estimates of monetary policy reaction functions feature a very high estimated degree of monetary policy inertia. This evidence is very hard of reconcile with the alternative evidence of low predictability of monetary policy rates. In this paper we examine the potential relevance of the problem of weak instruments to correctly identify the degree of monetary policy inertia in forward-looking monetary policy reaction function of the type originally proposed by Taylor [1993. Discretion versus policy rules in practice. Canergie-Rochester Conference Series on Public Policy, 39, 195-214]. After appropriately diagnosing and taking care of the weak instruments problem, we find an estimated degree of policy inertia which is significantly lower than the common value in the empirical literature on monetary policy rules.

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Article provided by Elsevier in its journal Journal of Monetary Economics.

Volume (Year): 56 (2009)
Issue (Month): 6 (September)
Pages: 900-906

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Handle: RePEc:eee:moneco:v:56:y:2009:i:6:p:900-906
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/505566

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  1. Lars E.O. Svensson, 2002. "What Is Wrong with Taylor Rules? Using Judgment in Monetary Policy through Targeting Rules," Working Papers 118, Princeton University, Department of Economics, Center for Economic Policy Studies..
  2. James Bullard & Kaushik Mitra, 2002. "Learning about monetary policy rules," Working Papers 2000-001, Federal Reserve Bank of St. Louis.
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  8. Richard Clarida & Jordi Galí & Mark Gertler, 1997. "Monetary policy rules and macroeconomic stability: Evidence and some theory," Economics Working Papers 350, Department of Economics and Business, Universitat Pompeu Fabra, revised May 1999.
  9. Lars E. O. Svensson, 1996. "Inflation Forecast Targeting: Implementing and Monitoring Inflation Targets," NBER Working Papers 5797, National Bureau of Economic Research, Inc.
  10. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
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  12. Söderlind, Paul & Söderström, Ulf & Vredin, Anders, 2003. "Taylor Rules and the Predictability of Interest Rates," Working Paper Series 147, Sveriges Riksbank (Central Bank of Sweden).
  13. 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.
  14. Evans, George W. & Honkapohja, Seppo, 2003. "Adaptive Learning and Monetary Policy Design," CEPR Discussion Papers 3962, C.E.P.R. Discussion Papers.
  15. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
  16. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  17. S Derlind, Paul & S Derstr M, Ulf & Vredin, Anders, 2005. "Dynamic Taylor Rules And The Predictability Of Interest Rates," Macroeconomic Dynamics, Cambridge University Press, vol. 9(03), pages 412-428, June.
  18. Motohiro Yogo, 2004. "Estimating the Elasticity of Intertemporal Substitution When Instruments Are Weak," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 797-810, August.
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