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The Meta Taylor Rule

Listed author(s):
  • Kevin Lee
  • James Morley
  • Kalvinder Shields

This paper provides a characterisation of U.S. monetary policy within a generalized Tay¬lor rule framework that accommodates uncertainties about the duration of policy regimes and the speciÞcation of the rule, in addition to the standard parameter and stochastic un¬certainties inherent in traditional Taylor rule analysis. Our approach involves estimation and inference based on Taylor rules obtained through standard linear regression methods, but combined using Bayesian model averaging techniques. Employing data that were available in real time, the estimated version of the ‘meta’ Taylor rule provides a ßexible but compelling characterisation of monetary policy in the United States over the last forty years.

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File URL: http://www.nottingham.ac.uk/cfcm/documents/papers/11-07.pdf
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Paper provided by University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM) in its series Discussion Papers with number 11/07.

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Handle: RePEc:not:notcfc:11/07
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School of Economics University of Nottingham University Park Nottingham NG7 2RD

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  1. Orphanides, Athanasios & Porter, Richard D. & Reifschneider, David & Tetlow, Robert & Finan, Frederico, 2000. "Errors in the measurement of the output gap and the design of monetary policy," Journal of Economics and Business, Elsevier, vol. 52(1-2), pages 117-141.
  2. Timothy Cogley & Thomas J. Sargent, 2005. "The conquest of US inflation: Learning and robustness to model uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 528-563, April.
  3. Lindsey, David E. & Orphanides, Athanasios & Rasche, Robert H., 2013. "The Reform of October 1979: How It Happened and Why," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 487-542.
  4. 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.
  5. Kevin Lee & Nilss Olekalns & Kalvinder Shields, 2008. "Nowcasting, Business Cycle Dating and the Interpretation of New Information when Real Time Data are Available," Discussion Papers in Economics 08/17, Department of Economics, University of Leicester.
  6. Sharon Kozicki, 1999. "How useful are Taylor rules for monetary policy?," Economic Review, Federal Reserve Bank of Kansas City, issue Q II, pages 5-33.
  7. Garrat, A. & Lee, K. & Pesaran, M.H. & Shin, Y., 2000. "Forecast Uncertainties in Macroeconometric Modelling: An Application to the UK Economy," Cambridge Working Papers in Economics 0004, Faculty of Economics, University of Cambridge.
  8. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
  9. Graham Elliott & Allan Timmermann, 2016. "Economic Forecasting," Economics Books, Princeton University Press, edition 1, number 10740, March.
  10. 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.
  11. Anthony Garratt & Kevin Lee & Emi Mise & Kalvinder Shields, 2008. "Real-Time Representations of the Output Gap," The Review of Economics and Statistics, MIT Press, vol. 90(4), pages 792-804, November.
  12. Michael Woodford, 2001. "The Taylor Rule and Optimal Monetary Policy," American Economic Review, American Economic Association, vol. 91(2), pages 232-237, May.
  13. Christina D. Romer & David H. Romer, 2004. "Choosing the Federal Reserve Chair: Lessons from History," Journal of Economic Perspectives, American Economic Association, vol. 18(1), pages 129-162, Winter.
  14. Orphanides, Athanasios, 2003. "Historical monetary policy analysis and the Taylor rule," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 983-1022, July.
  15. Cinzia Alcidi & Alessandro Flamini & Andrea Fracasso, 2011. "Policy Regime Changes, Judgment and Taylor rules in the Greenspan Era," Economica, London School of Economics and Political Science, vol. 78(309), pages 89-107, January.
  16. Garratt, Anthony & Lee, Kevin & Mise, Emi & Shields, Kalvinder, 2009. "Real time representation of the UK output gap in the presence of model uncertainty," International Journal of Forecasting, Elsevier, vol. 25(1), pages 81-102.
  17. Lee, Kevin C & Pesaran, M Hashem & Pierse, Richard G, 1990. "Testing for Aggregation Bias in Linear Models," Economic Journal, Royal Economic Society, vol. 100(400), pages 137-150, Supplemen.
  18. Schwartz, Anna J., 2003. "Comment on: Historical monetary policy analysis and the Taylor rule," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 1023-1027, July.
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