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Economic Dynamics with Learning: New Stability Results

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Author Info
Honkapohja, Seppo
Evans, George W.

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Abstract

Drawing upon recent contributions in the statistical literature, we present a new result on the convergence of recursive, stochastic algorithms which can be applied to eonomic models with learning. The formal result provides probability bounds for convergence which can be used to describe the local stability under learning of rational expectations equilibria. Our treatment also generalizes previous results by permitting the state variable to follow a nonlinear Markov process. Two economic applications are discussed.

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Publisher Info
Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number CESifo Working Paper No. 110.

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Date of creation: 1996
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Handle: RePEc:ces:ceswps:_110

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  1. Seppo Honkapohja & Kaushik Mitra, 2006. "Learning Stability in Economies with Heterogeneous Agents," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(2), pages 284-309, April. [Downloadable!] (restricted)
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  2. Atanas Christev, 2006. "Learning Hyperinflations," Computing in Economics and Finance 2006 475, Society for Computational Economics. [Downloadable!]
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  3. Evans , George W & Honkapohja, Seppo, 2007. "Robust learning stability with operational monetary policy rules," Research Discussion Papers 31/2007, Bank of Finland. [Downloadable!]
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  4. Shurojit Chatterji & Ignacio Lobato, 2009. "Transformations of the State Variable and Learning Dynamics," Working Papers 0902, Centro de Investigacion Economica, ITAM. [Downloadable!]
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  5. Seppo Honkapohja & Kaushik Mitra, 2002. "Performance of monetary policy with nternal Central Bank forecasting," Working Paper Series 127, European Central Bank. [Downloadable!]
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  6. George Evans & Seppo Honkapohja & Kaushik Mitra, 2007. " Anticipated Fiscal Policy and Adaptive Learning," CDMA Working Paper Series 0717, Centre for Dynamic Macroeconomic Analysis. [Downloadable!]
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  7. George Evans & Seppo Honkapohja & Paul Romer, 1996. "Growth Cycles," NBER Working Papers 5659, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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    • Paul Romer & George Evans & Seppo Hokapohja, . "Growth Cycles," Home Pages _001, Stanford University. [Downloadable!]
    • Evans, Geroge W & Honkapohja, Seppo & Romer, Paul, 1998. "Growth Cycles," American Economic Review, American Economic Association, vol. 88(3), pages 495-515, June. [Downloadable!] (restricted)
  8. Vitor Gaspar & Frank Smets & David Vestin, 2006. "Optimal Monetary Policy under Adaptive Learning," Computing in Economics and Finance 2006 183, Society for Computational Economics. [Downloadable!]
  9. Jondeau, E. & Le Bihan, H., 2003. "ML vs GMM Estimates of Hybrid Macroeconomic Models (With an Application to the New Phillips Curve)," Documents de Travail 103, Banque de France. [Downloadable!]
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  10. James Bullard & George W. Evans & Seppo Honkapohja, 2005. "Near-rational exuberance," Working Paper Series 555, European Central Bank. [Downloadable!]
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  11. In-Koo Cho & Thomas J. Sargent, 2000. "Escaping Nash inflation," Working Paper Series 23, European Central Bank. [Downloadable!]
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  12. Ricardo Nunes, 2005. "Learning the inflation target," Macroeconomics 0504033, EconWPA, revised 26 Apr 2005. [Downloadable!]
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  13. James B. Bullard & George W. Evans & Seppo Honkapohja, 2007. "A model of near-rational exuberance," Working Papers 2007-009, Federal Reserve Bank of St. Louis. [Downloadable!]
    Other versions:
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