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An econometric specification of monetary policy dark art

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Author Info
Ielpo, Florian
Guégan, Dominique

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Abstract

The classical Taylor rules usually do not yield the same estimation error when working in a monthly or a quarterly framework. This brings us to the conclusion that there must be something that monthly Taylor rules can capture and that the quarterly one cannot: we postulate that it simply boils down to the fact that the target rate’s changes are irregularly spaced in time. So as to tackle this issue, we propose to split the target rate chronicle between changes in the target and the associated durations, that is the time spending between two changes in the target rate. In this framework, we propose to consider that changes in rate can be regarded as a real monetary policy decision, whereas the duration period between two changes can be related to a ”wait and see” position or some fine tuning problematic. To show that both these features of monetary policy do not react to the same fundamentals, we propose an econometric understanding of the Fed’s reaction function using a new model derived from financial econometrics that has been proposed by Engle and Russell (2005). We propose to model the changes in target rates with a classical ordered probit and the durations with an autoregressive conditional duration model. We extracted the Fed anticipations regarding inflation and activity using some factor based method, and used these factors as explanatory variables for the changes in rates and the related durations. We show that the target rate level, the scale of the change in target rate and the associated duration do not necessarily react to the same factors and if they do, the impact can be different. This empirical result supports the idea that durations and scale of the change in target rate deserve equal attention when modeling a Central Bank reaction function.

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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 1004.

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Date of creation: 04 Mar 2006
Date of revision: 07 Oct 2006
Handle: RePEc:pra:mprapa:1004

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Related research
Keywords: Taylor rule duration models probit models Central Bank expectations factor based methods.

Find related papers by JEL classification:
E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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References listed on IDEAS
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  1. Robert F. Engle & Jeffrey R. Russell, 1994. "Forecasting Transaction Rates: The Autoregressive Conditional Duration Model," NBER Working Papers 4966, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  2. Kai Carstensen, 2006. "Estimating the ECB Policy Reaction Function," German Economic Review, Blackwell Publishing, vol. 7, pages 1-34, 02. [Downloadable!] (restricted)
  3. N. Kundan Kishor & Evan F. Koenig, 2005. "VAR estimation and forecasting when data are subject to revision," Working Papers 05-01, Federal Reserve Bank of Dallas. [Downloadable!]
  4. Richard Clarida & Jordi Gali & Mark Gertler, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December. [Downloadable!] (restricted)
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  5. Fischer, Andreas M, 2000. "Do Interventions Smooth Interest Rates?," CEPR Discussion Papers 2479, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  6. Meitz, Mika & Teräsvirta, Timo, 2004. "Evaluating models of autoregressive conditional duration," Working Paper Series in Economics and Finance 557, Stockholm School of Economics, revised 13 Dec 2004. [Downloadable!]
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  7. Bauwens, L. & Giot, P., 1998. "Asymmetric ACD Models: Introducing Price Information in ACD Models with a Two State Transition Model," Papers 9844, Universite catholique de Louvain - Center for Operations Research and Economics (CORE).
  8. Marvin Goodfriend, 1990. "Interest rates and the conduct of monetary policy," Working Paper 90-06, Federal Reserve Bank of Richmond. [Downloadable!]
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  9. Hausman, Jerry A. & Lo, Andrew W. & MacKinlay, A. Craig, 1992. "An ordered probit analysis of transaction stock prices," Journal of Financial Economics, Elsevier, vol. 31(3), pages 319-379, June. [Downloadable!] (restricted)
    Other versions:
  10. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules And Macroeconomic Stability: Evidence And Some Theory," The Quarterly Journal of Economics, MIT Press, vol. 115(1), pages 147-180, February. [Downloadable!] (restricted)
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  11. James D. Hamilton & Oscar Jorda, 2000. "A Model for the Federal Funds Rate Target," NBER Working Papers 7847, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  12. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November. [Downloadable!] (restricted)
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  13. Robert F. Engle & Jeffrey R. Russell, 1995. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Time Series Data," University of California at San Diego, Economics Working Paper Series 94-27r, Department of Economics, UC San Diego.
  14. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1998. "Monetary policy rules in practice Some international evidence," European Economic Review, Elsevier, vol. 42(6), pages 1033-1067, June. [Downloadable!] (restricted)
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  15. Andreas M. Fischer & Mathias Zurlinden, 2004. "Are Interventions Self Exciting?," Open Economies Review, Springer, vol. 15(3), pages 223-237, 07. [Downloadable!]
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  16. Ben S. Bernanke & Jean Boivin, 2001. "Monetary Policy in a Data-Rich Environment," NBER Working Papers 8379, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
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