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The Taylor rule and interest rate uncertainty in the U.S. 1955-2006

  • Mandler, Martin

We use a Taylor rule with time-varying policy coefficients in combination with an unobserved components model for the output gap to estimate the uncertainty about future values of the Federal Funds Rate. The model makes it possible to separate ex-ante interest rate uncertainty into three components: 1) uncertainty about the Fed's future policy coefficients, 2) uncertainty about future economic fundamentals, and 3) residual uncertainty. The results show important changes in uncertainty about future short-term interest rates over time with peaks in the late 1960s/early 1970s, mid 1970s and late 1970s/early 1980s. While for one-quarter forecasts uncertainty about the Fed's policy reaction is more important than uncertainty about economic fundamentals this result is reversed for the two-quarter forecast horizon. Results from a modified model with regime shifts in the variance of the policy shocks confirm the previous findings but show changes in residual uncertainty to be important as well.

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File URL: http://mpra.ub.uni-muenchen.de/2340/1/MPRA_paper_2340.pdf
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File URL: http://mpra.ub.uni-muenchen.de/18770/1/MPRA_paper_18770.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 2340.

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Date of creation: Mar 2007
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Handle: RePEc:pra:mprapa:2340
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  1. Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, June.
  2. Kuzin, Vladimir, 2006. "The inflation aversion of the Bundesbank: A state space approach," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1671-1686.
  3. Richard Clarida & Jordi Gali & Mark Gertler, 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," NBER Working Papers 6442, National Bureau of Economic Research, Inc.
  4. Trehan, Bharat & Wu, Tao, 2007. "Time-varying equilibrium real rates and monetary policy analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 31(5), pages 1584-1609, May.
  5. Professor E. Philip Davis, 2002. "Investment and Uncertainty in the G7," NIESR Discussion Papers 144, National Institute of Economic and Social Research.
  6. Carmine Trecroci & Matilde Vassalli, 2010. "Monetary Policy Regime Shifts: New Evidence From Time-Varying Interest Rate Rules," Economic Inquiry, Western Economic Association International, vol. 48(4), pages 933-950, October.
  7. Favero, Carlo A. & Mosca, Federico, 2001. "Uncertainty on Monetary Policy and the Expectational Model of the Term Structure of Interest Rates," CEPR Discussion Papers 2748, C.E.P.R. Discussion Papers.
  8. William Poole, 2005. "How predictable is Fed policy?," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 659-68.
  9. Lanne, Markku & Saikkonen, Pentti, 2000. "Modeling the US short-term interest rate by mixture autoregressive processes," SFB 373 Discussion Papers 2000,76, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  10. Watson, Mark W., 1986. "Univariate detrending methods with stochastic trends," Journal of Monetary Economics, Elsevier, vol. 18(1), pages 49-75, July.
  11. Chuderewicz, Russell P., 2002. "Using interest rate uncertainty to predict the paper-bill spread and real output," Journal of Economics and Business, Elsevier, vol. 54(3), pages 293-312.
  12. Kuttner, Kenneth N, 1994. "Estimating Potential Output as a Latent Variable," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 361-68, July.
  13. Juan Ayuso & Andrew Haldane & Fernando Restoy, 1997. "Volatility transmission along the money market yield curve," Review of World Economics (Weltwirtschaftliches Archiv), Springer, vol. 133(1), pages 56-75, March.
  14. Cooley, Thomas F & Prescott, Edward C, 1976. "Estimation in the Presence of Stochastic Parameter Variation," Econometrica, Econometric Society, vol. 44(1), pages 167-84, January.
  15. Boivin, Jean, 2006. "Has U.S. Monetary Policy Changed? Evidence from Drifting Coefficients and Real-Time Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1149-1173, August.
  16. Athanasios Orphanides, 2002. "Monetary policy rules and the Great Inflation," Finance and Economics Discussion Series 2002-8, Board of Governors of the Federal Reserve System (U.S.).
  17. Fabio Fornari, 2005. "The rise and fall of US dollar interest rate volatility: evidence from swaptions," BIS Quarterly Review, Bank for International Settlements, September.
  18. 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.
  19. Sun, Licheng, 2005. "Regime shifts in interest rate volatility," Journal of Empirical Finance, Elsevier, vol. 12(3), pages 418-434, June.
  20. Guglielmo Maria Caporale & Andrea Cipollini, 2002. "The Euro and Monetary Policy Transparency," Eastern Economic Journal, Eastern Economic Association, vol. 28(1), pages 59-70, Winter.
  21. Vincent R. Reinhart, 2003. "Making monetary policy in an uncertain world," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 265-274.
  22. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
  23. Muellbauer, John & Nunziata, Luca, 2004. "Forecasting (and Explaining) US Business Cycles," CEPR Discussion Papers 4584, C.E.P.R. Discussion Papers.
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