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Indicator Accuracy and Monetary Policy: Is Ignorance Bliss?

Listed author(s):
  • Nimark, Kristoffer P.

    ()

    (EUI)

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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File URL: http://www.riksbank.se/upload/8382/WP_157.pdf
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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
Handle: RePEc:hhs:rbnkwp:0157
Contact details of provider: Postal:
Sveriges Riksbank, SE-103 37 Stockholm, Sweden

Phone: 08 - 787 00 00
Fax: 08-21 05 31
Web page: http://www.riksbank.com/
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  1. Clarida, Richard & Galí, Jordi & Gertler, Mark, 1997. "Monetary Policy Rules in Practice: Some International Evidence," CEPR Discussion Papers 1750, C.E.P.R. Discussion Papers.
  2. Hyun Song Shin & Jeffery D. Amato, 2004. "Public and Private Information in Monetary Policy Models," Econometric Society 2004 North American Winter Meetings 59, Econometric Society.
  3. Pearlman, Joseph & Currie, David & Levine, Paul, 1986. "Rational expectations models with partial information," Economic Modelling, Elsevier, vol. 3(2), pages 90-105, April.
  4. Clarida, R. & Gali, J. & Gertler, M., 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Working Papers 99-13, C.V. Starr Center for Applied Economics, New York University.
  5. Galí, Jordi, 2002. "New Perspectives on Monetary Policy, Inflation and the Business Cycle," CEPR Discussion Papers 3210, C.E.P.R. Discussion Papers.
  6. Ehrmann, Michael & Smets, Frank, 2003. "Uncertain potential output: implications for monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 27(9), pages 1611-1638, July.
  7. Svensson, Lars & Woodford, Michael, 2000. "Indicator Variables for Optimal Policy," Seminar Papers 688, Stockholm University, Institute for International Economic Studies.
  8. Pearlman, Joseph, 1986. "Diverse information and rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 10(1-2), pages 333-338, June.
  9. 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.
  10. 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.).
  11. Soderlind, Paul, 1999. "Solution and estimation of RE macromodels with optimal policy," European Economic Review, Elsevier, vol. 43(4-6), pages 813-823, April.
  12. Lars E.O. Svensson & Michael Woodford, 2001. "Indicator Variables for Optimal Policy under Asymmetric Information," NBER Working Papers 8255, National Bureau of Economic Research, Inc.
  13. Douglas Staiger & James H. Stock & Mark W. Watson, 1996. "How Precise are Estimates of the Natural Rate of Unemployment?," NBER Working Papers 5477, National Bureau of Economic Research, Inc.
  14. 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.
  15. Lippi, Francesco & Neri, Stefano, 2003. "Information Variables for Monetary Policy in a Small Structural Model of the Euro Area," CEPR Discussion Papers 4125, C.E.P.R. Discussion Papers.
  16. Townsend, Robert M, 1983. "Forecasting the Forecasts of Others," Journal of Political Economy, University of Chicago Press, vol. 91(4), pages 546-588, August.
  17. Kuttner, Kenneth N, 1994. "Estimating Potential Output as a Latent Variable," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 361-368, July.
  18. 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.
  19. Christina D. Romer & David H. Romer, 1997. "Reducing Inflation: Motivation and Strategy," NBER Books, National Bureau of Economic Research, Inc, number rome97-1.
  20. 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.
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