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A bivariate model of Fed and ECB main policy rates

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Author Info
Chiara Scotti
Abstract

This paper studies when and by how much the Fed and the ECB change their target interest rates. I develop a new nonlinear bivariate framework, which allows for elaborate dynamics and potential interdependence between the two countries, as opposed to linear feedback rules, such as a Taylor rule, and I use a novel real-time data set. A Bayesian estimation approach is particularly well suited to the small data sample. Empirical results support synchronization between the central banks and non-zero correlation between magnitude shocks, but they do not support follower behavior. Institutional factors and inflation represent relevant variables for timing decisions of both banks. Inflation rates are important factors for magnitude decisions, while output plays a major role in US magnitude decisions.

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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series International Finance Discussion Papers with number 875.

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Date of creation: 2006
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Handle: RePEc:fip:fedgif:875

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Keywords: Monetary policy ; Interest rates ; Federal funds rate ; Econometric models;

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  7. Ehrmann, Michael & Fratzscher, Marcel, 2003. "Monetary Policy Announcements and Money Markets: A Transatlantic Perspective," International Finance, Blackwell Publishing, vol. 6(3), pages 309-28, Winter. [Downloadable!] (restricted)
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  12. Stephen G. Cecchetti & RÛisÌn O'Sullivan, 2003. "The European Central Bank and the Federal Reserve," Oxford Review of Economic Policy, Oxford University Press, vol. 19(1), pages 30-43.
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  18. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670. [Downloadable!]
  19. Monika Piazzesi, 2005. "Bond Yields and the Federal Reserve," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 311-344, April.
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  22. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, 05. [Downloadable!] (restricted)
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  23. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-68, November.
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  24. Charles L. Evans, 1998. "Real-time Taylor rules and the federal funds futures market," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q III, pages 44-55. [Downloadable!]
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