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Learning, inflation reduction and optimal monetary policy

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Schaling, E. (Tilburg University, Center for Economic Research)

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Abstract

In this paper we analyze disinflation in two environments. One in which the central bank has perfect knowledge, in the sense that it understands and observes the process by which private sector inflation expectations are generated, and one in which the central bank has to learn the private sector inflation forecasting rule. Here, the learning scheme we investigate is that of least-squares learning (recursive OLS) using the Kalman filter. With imperfect knowledge, results depend on the learning scheme that is employed. A novel feature of the passive learning policy - compared to the central bank s disinflation policy under perfect knowledge - is that the degree of monetary accommodation (the extent to which the central bank accommodates private sector inflation expectations) is no longer constant across the disinflation, but becomes state-dependent. This means that the central bank's behaviour changes during the disinflation as it collects more information.

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Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 74.

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Date of creation: 2003
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Handle: RePEc:dgr:kubcen:200374

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Find related papers by JEL classification:
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Determination of Interest Rates; Term Structure of Interest Rates
E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions

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  1. James B. Bullard, 1991. "Learning, rational expectations and policy: a summary of recent research," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 50-60. [Downloadable!]
  2. Wieland, Volker, 2000. "Monetary policy, parameter uncertainty and optimal learning," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 199-228, August. [Downloadable!] (restricted)
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  3. Marcet, Albert & Sargent, Thomas J, 1989. "Convergence of Least-Squares Learning in Environments with Hidden State Variables and Private Information," Journal of Political Economy, University of Chicago Press, vol. 97(6), pages 1306-22, December. [Downloadable!] (restricted)
  4. Eric Schaling, . "The non-linear Phillips curve and inflation forecast targeting," Bank of England working papers 98, Bank of England. [Downloadable!]
  5. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December. [Downloadable!] (restricted)
    Other versions:
  6. Mervyn King, 1996. "How should central banks reduce inflation? conceptual issues," Proceedings, Federal Reserve Bank of Kansas City, pages 53-91. [Downloadable!]
  7. Athanasios Orphanides & John C. Williams, 2002. "Imperfect knowledge, inflation expectations, and monetary policy," Working Papers in Applied Economic Theory 2002-04, Federal Reserve Bank of San Francisco. [Downloadable!]
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  8. Eric Schaling, James Bullard, 2001. "New economy : new policy rules?," Computing in Economics and Finance 2001 53, Society for Computational Economics. [Downloadable!]
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  9. Mervyn King, 1996. "How should central banks reduce inflation? - Conceptual issues," Economic Review, Federal Reserve Bank of Kansas City, issue Q IV, pages 25-52. [Downloadable!]
  10. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March. [Downloadable!] (restricted)
  11. Andolfatto, David & Scott Hendry & Kevin Moran, 2002. "Inflation Expectations and Learning about Monetary Policy," Working Papers 02-30, Bank of Canada. [Downloadable!]
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  12. Jovanovic, B. & Nyarko, Y., 1996. "Learning by Doing and the Choice of Technology," Working Papers 96-25, C.V. Starr Center for Applied Economics, New York University. [Downloadable!]
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  13. Bertocchi, Graziella & Spagat, Michael, 1993. "Learning, experimentation, and monetary policy," Journal of Monetary Economics, Elsevier, vol. 32(1), pages 169-183, August. [Downloadable!] (restricted)
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  14. Kiefer, Nicholas M & Nyarko, Yaw, 1989. "Optimal Control of an Unknown Linear Process with Learning," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(3), pages 571-86, August. [Downloadable!] (restricted)
  15. Ellison, Martin & Valla, Natacha, 2001. "Learning, uncertainty and central bank activism in an economy with strategic interactions," Journal of Monetary Economics, Elsevier, vol. 48(1), pages 153-171, August. [Downloadable!] (restricted)
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