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Monetary policy and data uncertainty

  • Jarkko Jääskelä
  • Tony Yates

One of the problems facing policymakers is that recent releases of data are liable to subsequent revisions. This paper discusses how to deal with this, and is in two parts. In the normative part of the paper, we study the design of monetary policy rules in a model that has the feature that data uncertainty varies according to the vintage. We show how coefficients on lagged variables in optimised simple rules for monetary policy increase as the relative measurement error in early vintages of data increases. We also explore scenarios when policymakers are uncertain by how much measurement error in new data exceeds that in old data. An optimal policy can then be one in which it is better to assume that the ratio of measurement error in new compared to old data is larger, rather than smaller. In the positive part of the paper, we show that the response of monetary policy to vintage varying data uncertainty may generate evidence of apparent interest rate smoothing in interest rate reaction functions: but we suggest that it may not generate enough to account for what has been observed in the data.

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File URL: http://www.bankofengland.co.uk/research/Documents/workingpapers/2005/WP281.pdf
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Paper provided by Bank of England in its series Bank of England working papers with number 281.

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Date of creation: Nov 2005
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Handle: RePEc:boe:boeewp:281
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  1. Glenn Rudebusch, 2000. "Assessing Nominal Income Rules for Monetary Policy with Model and Data Uncertainty," Econometric Society World Congress 2000 Contributed Papers 0065, Econometric Society.
  2. Svensson, Lars E. O. & Woodford, Michael, 2003. "Indicator variables for optimal policy," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 691-720, April.
  3. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
  4. Athanasios Orphanides & John C. Williams, 2003. "Robust monetary policy rules with unknown natural rates," Finance and Economics Discussion Series 2003-11, Board of Governors of the Federal Reserve System (U.S.).
  5. Athanasios Orphanides & Richard D. Porter & David Reifschneider & Robert Tetlow & Frederico Finan, 1999. "Errors in the measurement of the output gap and the design of monetary policy," Finance and Economics Discussion Series 1999-45, Board of Governors of the Federal Reserve System (U.S.).
  6. George Kapetanios & Tony Yates, 2004. "Estimating time-variation in measurement error from data revisions; an application to forecasting in dynamic models," Bank of England working papers 238, Bank of England.
  7. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1997. "Monetary Policy Rules in Practice: Some International Evidence," Working Papers 97-32, C.V. Starr Center for Applied Economics, New York University.
  8. Glenn D. Rudebusch, 2001. "Term structure evidence on interest rate smoothing and monetary policy inertia," Working Paper Series 2001-02, Federal Reserve Bank of San Francisco.
  9. Michael Woodford, 2003. "Optimal Interest-Rate Smoothing," Review of Economic Studies, Oxford University Press, vol. 70(4), pages 861-886.
  10. John M. Roberts, 1994. "Is inflation sticky?," Working Paper Series / Economic Activity Section 152, Board of Governors of the Federal Reserve System (U.S.).
  11. Michael Woodford, 2000. "Pitfalls of Forward-Looking Monetary Policy," American Economic Review, American Economic Association, vol. 90(2), pages 100-104, May.
  12. Jeffery D. Amato & Thomas Laubach, 1999. "The value of interest rate smoothing : how the private sector helps the Federal Reserve," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 47-64.
  13. Bennett T. McCallum & Edward Nelson, . "An Optimizing IS-LM Specification for Monetary Policy and Business Cycle Analysis," GSIA Working Papers 1997-71, Carnegie Mellon University, Tepper School of Business.
  14. Frank Smets, 1998. "Output gap uncertainty: does it matter for the Taylor rule?," BIS Working Papers 60, Bank for International Settlements.
  15. Eric T. Swanson, 2000. "On signal extraction and non-certainty-equivalence in optimal monetary policy rules," Finance and Economics Discussion Series 2000-32, Board of Governors of the Federal Reserve System (U.S.).
  16. Harrison, Richard & Kapetanios, George & Yates, Tony, 2005. "Forecasting with measurement errors in dynamic models," International Journal of Forecasting, Elsevier, vol. 21(3), pages 595-607.
  17. Brian Sack & Volker Wieland, 1999. "Interest-rate smoothing and optimal monetary policy: a review of recent empirical evidence," Finance and Economics Discussion Series 1999-39, Board of Governors of the Federal Reserve System (U.S.).
  18. Clarida, R. & Gali, J. & Gertler, M., 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and some Theory," Working Papers 98-01, C.V. Starr Center for Applied Economics, New York University.
  19. Smets, Frank, 2003. "Maintaining price stability: how long is the medium term?," Journal of Monetary Economics, Elsevier, vol. 50(6), pages 1293-1309, September.
  20. Goodfriend, Marvin, 1991. "Interest rates and the conduct of monetary policy," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 34(1), pages 7-30, January.
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  22. Roberts, John M, 1995. "New Keynesian Economics and the Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(4), pages 975-84, November.
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