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Determinacy, Learnability, And Plausibility In Monetary Policy Analysis: Additional Results

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Author Info
Bennett T. McCallum
Abstract

In contrast with recent research in monetary policy analysis which has featured a great deal of work concerning conditions for determinacy, I have argued in recent publications that least-squares (LS) learnability is a compelling necessary condition for a rational expectations (RE) equilibrium to be considered plausible. As I have demonstrated in a previous paper, in a very wide class of linear RE models, determinacy implies LS learnability (but not the converse) when individuals have knowledge of current conditions available for use in the learning process. This strong result does not pertain, however, if individuals have available, in the learning process, only information regarding previous values of endogenous variables. One task of the present paper, accordingly, is to investigate the situation that is obtained when only lagged information is available. In particular, it is shown that models that are well formulated, often (but not invariably) possess the property of E-stability and hence LS learnability if current-period information is available in the learning process, even if determinacy does not prevail. Thus plausibility of a RE solution requires both that it be learnable and that the model at hand be well formulated. A sufficient condition for both of these to hold, requiring that certain matrices have positive dominant diagonals, is introduced and considered. Unfortunately, the situation in the case of lagged information is less favorable—that is, learnability can be assured only in special cases, for which no general characterization has been found.

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Paper provided by Central Bank of Chile in its series Working Papers Central Bank of Chile with number 502.

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Date of creation: Oct 2008
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Handle: RePEc:chb:bcchwp:502

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  1. 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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  2. Klein, Paul, 2000. "Using the generalized Schur form to solve a multivariate linear rational expectations model," Journal of Economic Dynamics and Control, Elsevier, vol. 24(10), pages 1405-1423, September. [Downloadable!] (restricted)
  3. Binder,M. & Pesaran,H.M., 1995. "Multivariate Rational Expectations Models and Macroeconomic Modelling: A Review and Some New Results," Cambridge Working Papers in Economics 9415, Faculty of Economics, University of Cambridge.
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  4. Benhabib, Jess & Schmitt-Grohe, Stephanie & Uribe, Martin, 2001. "The Perils of Taylor Rules," Journal of Economic Theory, Elsevier, vol. 96(1-2), pages 40-69, January. [Downloadable!] (restricted)
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  5. King, Robert G & Watson, Mark W, 1998. "The Solution of Singular Linear Difference Systems under Rational Expectations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 1015-26, November.
  6. James B. Bullard, 2006. "The learnability criterion and monetary policy," Review, Federal Reserve Bank of St. Louis, issue May, pages 203-217. [Downloadable!]
  7. Bennett T. McCallum, 1983. "On Non-Uniqueness in Rational Expectations Models: An Attempt at Perspective," NBER Working Papers 0684, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  8. Evans, George W. & Honkapohja, Seppo, 1999. "Learning dynamics," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 7, pages 449-542 Elsevier. [Downloadable!] (restricted)
  9. Blanchard, Olivier Jean & Kahn, Charles M, 1980. "The Solution of Linear Difference Models under Rational Expectations," Econometrica, Econometric Society, vol. 48(5), pages 1305-11, July. [Downloadable!] (restricted)
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