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Learning About the Term Structure and Optimal Rules for Inflation Targeting

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Author Info
Tesfaselassie, M.F.
Schaling, E.
Eijffinger, S.C.W. (Erasmus Research Institute of Management (ERIM), RSM Erasmus University)

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Abstract

In this paper we incorporate the term structure of interest rates in a standard inflation forecast targeting framework. We find that under flexible inflation targeting and uncertainty in the degree of persistence in the economy, allowing for active learning possibilities has effects on the optimal interest rate rule followed by the central bank. For a wide range of possible initial beliefs about the unknown parameter, the dynamically optimal rule is in general more activist, in the sense of responding aggressively to the state of the economy, than the myopic rule for small to moderate deviations of the state variable from its target. On the other hand, for large deviations, the optimal policy is less activist than the myopic and the certainty equivalence policies.

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Publisher Info
Paper provided by Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. in its series Research Paper with number ERS-2006-058-F&A Revision_Date: 2009-07-29.

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Date of creation: 30 Oct 2006
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Handle: RePEc:dgr:eureri:30009027

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Related research
Keywords: Learning; Rational Expectations; Separation Principle; Term Structure of Interest Rates;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Yetman, James, 2003. "Probing potential output: Monetary policy, credibility, and optimal learning under uncertainty," Journal of Macroeconomics, Elsevier, vol. 25(3), pages 311-330, September. [Downloadable!] (restricted)
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  2. Ellison, Martin, 2003. "The Learning Cost of Interest Rate Reversals," CEPR Discussion Papers 4135, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  3. Richard Clarida & Jordi Gali & Mark Gertler, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December. [Downloadable!] (restricted)
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  4. James Bullard & Kaushik Mitra, 2002. "Learning about monetary policy rules," Working Papers 2000-001, Federal Reserve Bank of St. Louis. [Downloadable!]
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  5. 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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  6. Thomas Sargent & Noah Williams & Tao Zha, 2006. "The Conquest of South American Inflation," NBER Working Papers 12606, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  7. Stephen Pollock, 2002. "Recursive Estimation in Econometrics," Working Papers 462, Queen Mary, University of London, Department of Economics. [Downloadable!]
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  8. Wieland, Volker, 2000. "Learning by doing and the value of optimal experimentation," Journal of Economic Dynamics and Control, Elsevier, vol. 24(4), pages 501-534, April. [Downloadable!] (restricted)
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  9. 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!]
  10. James Bullard & Eric Schaling, 2006. "Monetary policy, determinacy, and learnability in the open economy," Working Paper Series 611, European Central Bank. [Downloadable!]
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  11. 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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  12. Svensson, Lars E. O., 1997. "Inflation forecast targeting: Implementing and monitoring inflation targets," European Economic Review, Elsevier, vol. 41(6), pages 1111-1146, June. [Downloadable!] (restricted)
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  13. Eijffinger, Sylvester C W & Schaling, Eric & Verhagen, Willem, 2000. "The Term Structure of Interest Rates and Inflation Forecast Targeting," CEPR Discussion Papers 2375, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  14. George W. Evans & Seppo Honkapohja, 2003. "Adaptive learning and monetary policy design," Proceedings, Federal Reserve Bank of Cleveland, pages 1045-1084.
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  15. Andrew T. Levin & Richhild Moessner, 2005. "Inflation persistence and monetary policy design - an overview," Working Paper Series 539, European Central Bank. [Downloadable!]
  16. 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. [Downloadable!] (restricted)
  17. repec:bep:macadv:v:6:y:2006:i:1:p:1288-1288 is not listed on IDEAS
  18. 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)
  19. Schaling , Eric & Eijffinger , Sylvester & Tesfaselassie , Mewael, 2004. "Heterogeneous information about the term structure, least-squares learning and optimal rules for inflation targeting," Research Discussion Papers 23/2004, Bank of Finland. [Downloadable!]
  20. Schaling, Eric, 2004. "The Nonlinear Phillips Curve and Inflation Forecast Targeting: Symmetric versus Asymmetric Monetary Policy Rules," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(3), pages 361-86, June.
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  21. 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. [Downloadable!] (restricted)
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Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Lars E.O. Svensson & Noah Williams, 2008. "Optimal monetary policy under uncertainty: a Markov jump-linear-quadratic approach," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 275-294. [Downloadable!]
  2. Lars E.O. Svensson & Noah M. Williams, 2007. "Bayesian and Adaptive Optimal Policy under Model Uncertainty," NBER Working Papers 13414, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  3. David A. Kendrick & Hans M. Amman & Marco P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics. [Downloadable!]
  4. Lars E.O. Svensson & Noah Williams, 2008. "Optimal Monetary Policy Under Uncertainty in DSGE Models: A Markov Jump-Linear-Quadratic Approach," Working Papers Central Bank of Chile 484, Central Bank of Chile. [Downloadable!]
    Other versions:
  5. George W. Evans & Seppo Honkapohja, 2008. "Expectations, Learning, And Monetary Policy: An Overview Of Recent Research," Working Papers Central Bank of Chile 501, Central Bank of Chile. [Downloadable!]
    Other versions:
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