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Indicator Accuracy and Monetary Policy: Is Ignorance Bliss?

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  • Nimark, Kristoffer P.

    ()
    (EUI)

Abstract

This paper argues that assuming a common information set shared by the public and the central bank may be inappropriate when one is concerned with the value of information itself. Specifically, we argue that it may lead one to draw the conclusion that monetary policy do not benefit from accurate real time data. This paper sets up a New-Keynesian model with optimal discretionary monetary policy, where we allow for partial and diverse information. The model is used to show that monetary policy do benefit from private and accurate real time data, where ’private’ is the crucial assumption. The representative household is better of with less accurate information since this reduces the relative price distortions due to inflation and staggered prices. An implication of the negative welfare consequences of a well informed public is that central banks should be restrictive with publishing their real time data.

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Bibliographic Info

Paper provided by Sveriges Riksbank (Central Bank of Sweden) in its series Working Paper Series with number 157.

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Length: 38 pages
Date of creation: 01 Dec 2003
Date of revision:
Handle: RePEc:hhs:rbnkwp:0157

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Related research

Keywords: Monetary policy; Information; Kalman filter; Higher order beliefs; Real time data;

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References

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  1. Michael Ehrmann and Frank Smets, 2001. "Uncertain Potential Output: Implications for Monetary Policy," Computing in Economics and Finance 2001 8, Society for Computational Economics.
  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. Jeffery Amato & Hyun Song Shin, 2003. "Public and Private Information in Monetary Policy Models," Levine's Bibliography 666156000000000092, UCLA Department of Economics.
  4. Douglas O. Staiger & James H. Stock & Mark W. Watson, 1997. "How Precise Are Estimates of the Natural Rate of Unemployment?," NBER Chapters, in: Reducing Inflation: Motivation and Strategy, pages 195-246 National Bureau of Economic Research, Inc.
  5. Söderlind, Paul, 1998. "Solution and Estimation of RE Macromodels with Optimal Policy," Working Paper Series in Economics and Finance 256, Stockholm School of Economics.
  6. 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.
  7. Svensson, Lars E. O. & Woodford, Michael, 2004. "Indicator variables for optimal policy under asymmetric information," Journal of Economic Dynamics and Control, Elsevier, vol. 28(4), pages 661-690, January.
  8. Julio J. Rotemberg & Michael Woodford, 1998. "Interest-Rate Rules in an Estimated Sticky Price Model," NBER Working Papers 6618, National Bureau of Economic Research, Inc.
  9. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
  10. 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.
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  12. Townsend, Robert M, 1983. "Forecasting the Forecasts of Others," Journal of Political Economy, University of Chicago Press, vol. 91(4), pages 546-88, August.
  13. Sargent, Thomas J., 1991. "Equilibrium with signal extraction from endogenous variables," Journal of Economic Dynamics and Control, Elsevier, vol. 15(2), pages 245-273, April.
  14. Christina D. Romer & David H. Romer, 1997. "Reducing Inflation: Motivation and Strategy," NBER Books, National Bureau of Economic Research, Inc, number rome97-1, July.
  15. Pearlman, Joseph, 1986. "Diverse information and rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 10(1-2), pages 333-338, June.
  16. Joseph G. Pearlman & Thomas J. Sargent, 2005. "Knowing the Forecasts of Others," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 480-497, April.
  17. Pearlman, Joseph & Currie, David & Levine, Paul, 1986. "Rational expectations models with partial information," Economic Modelling, Elsevier, vol. 3(2), pages 90-105, April.
  18. Francesco Lippi & Stefano Neri, 2004. "Information variables for monetary policy in a small structural model of the euro area," Temi di discussione (Economic working papers) 511, Bank of Italy, Economic Research and International Relations Area.
  19. Pearlman, Joseph G., 1992. "Reputational and nonreputational policies under partial information," Journal of Economic Dynamics and Control, Elsevier, vol. 16(2), pages 339-357, April.
  20. Francis X. Diebold & Glenn D. Rudebusch, 1989. "Forecasting output with the composite leading index: an ex ante analysis," Finance and Economics Discussion Series 90, Board of Governors of the Federal Reserve System (U.S.).
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