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Heterogeneous Information about the Term Structure of Interest Rates, Least-Squares Learning and Optimal Interest Rate Rules for Inflation Forecast Targeting

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  • Mewael Tesfaselassie
  • Eric Schaling
  • Sylvester Eijffinger

Abstract

In this paper we incorporate the term structure of interest rates in a standard inflation forecast targeting framework. Learning about the transmission process of monetary policy is introduced by having heterogeneous agents - i.e. the central bank and private agents - who have different information sets about the future sequence of short-term interest rates. We analyse inflation forecast targeting 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 interest rate expectations are generated, and one in which the central bank has imperfect knowledge and has to learn the private sector forecasting rule for short-term interest rates. In the case of imperfect knowledge, the central bank has to learn about private sector interest rate expectations, as the latter affect the impact of monetary policy through the expectations theory of the term structure of interest rates. Here following Evans and Honkapohja (2001), the learning scheme we investigate is that of least-squares learning (recursive OLS) using the Kalman filter. We find that optimal monetary policy under learning is a policy that separates estimation and control. Therefore, this model suggests that the practical relevance of the breakdown of the separation principle and the need for experimentation in policy may be limited

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Bibliographic Info

Paper provided by Econometric Society in its series Econometric Society 2004 North American Summer Meetings with number 78.

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Date of creation: 11 Aug 2004
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Handle: RePEc:ecm:nasm04:78

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Keywords: Learning; Rational Expectations; Separation Principle; Kalman Filter; Term Structure of Interest Rates;

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  1. Rudebusch, Glenn D. & Svensson, Lars E. O., 2002. "Eurosystem monetary targeting: Lessons from U.S. data," European Economic Review, Elsevier, vol. 46(3), pages 417-442, March.
  2. Bullard, J. & Schaling, E., 2000. "New Economy - New Policy Rules?," Discussion Paper 2000-72, Tilburg University, Center for Economic Research.
  3. Volker Wieland, 1999. "Monetary policy, parameter uncertainty and optimal learning," Finance and Economics Discussion Series 1999-48, Board of Governors of the Federal Reserve System (U.S.).
  4. Mitra, Kaushik, 2003. " Desirability of Nominal GDP Targeting under Adaptive Learning," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(2), pages 197-220, April.
  5. 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.
  6. Athanasios Orphanides & John C. Williams, 2002. "Imperfect knowledge, inflation expectations, and monetary policy," Working Paper Series 2002-04, Federal Reserve Bank of San Francisco.
  7. Beck, Gunter W. & Wieland, Volker, 2002. "Learning and control in a changing economic environment," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1359-1377, August.
  8. Mark Rosenzweig & Andrew D. Foster, . "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Home Pages _068, University of Pennsylvania.
  9. Schaling, Eric, 2003. "Learning, inflation expectations and optimal monetary policy," Research Discussion Papers 20/2003, Bank of Finland.
  10. Fuhrer, Jeffrey C & Moore, George R, 1995. "Monetary Policy Trade-offs and the Correlation between Nominal Interest Rates and Real Output," American Economic Review, American Economic Association, vol. 85(1), pages 219-39, March.
  11. Klok, H.J. & Schaik, A.B.T.M. van & Smulders, J.A., 2001. "Economologues: Liber Amicorum voor Theo van de Klundert," Open Access publications from Tilburg University urn:nbn:nl:ui:12-86472, Tilburg University.
  12. Eijffinger, S.C.W. & Schaling, E. & Verhagen, W.H., 1998. "The Term Structure of Interest Rates and Inflation Forecast Targeting," Discussion Paper 1998-85, Tilburg University, Center for Economic Research.
  13. 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.
  14. Eric Schaling, 1999. "The non-linear Phillips curve and inflation forecast targeting," Bank of England working papers 98, Bank of England.
  15. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
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