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Learning About Learning in Dynamic Economic Models

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Author Info
David A. Kendrick ()
Hans M. Amman ()
Marco P. Tucci ()

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Abstract

This chapter of the Handbook of Computational Economics is mostly about research on active learning and is confined to discussion of learning in dynamic models in which the systems equations are linear, the criterion function is quadratic and the additive noise terms are Gaussian. Though there is much work on learning in more general systems, it is useful here to focus on models with these specifications since more general systems can be approximated in this way and since much of the early work on learning has been done with these quadratic-linear-gaussian systems. We begin with what has been learned about learning in dynamic economic models in the last few decades. Then we progress to a discussion of what we hope to learn in the future from a new project that is just getting underway. However before doing either of these it is useful to provide a short description of the mathematical framework that will be used in the chapter.

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Publisher Info
Paper provided by Utrecht School of Economics in its series Working Papers with number 08-20.

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Length: 40 pages
Date of creation: Aug 2008
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Handle: RePEc:use:tkiwps:0820

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Related research
Keywords: Active learning; dual control; optimal experimentation; stochastic optimization; time-varying parameters; forward looking variables; numerical experiments.;

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Find related papers by JEL classification:
C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques
E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination

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  1. Tucci, Marco P., 2002. "A note on global optimization in adaptive control, econometrics and macroeconomics," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1739-1764, August. [Downloadable!] (restricted)
  2. Hans M. Amman & David Kendrick, . "Should Macroeconomic Policy Makers Consider Parameter Covariances?," Computing in Economics and Finance 1997 8, Society for Computational Economics. [Downloadable!]
    Other versions:
  3. Amman, Hans M. & Kendrick, David A., 2003. "Mitigation of the Lucas critique with stochastic control methods," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11-12), pages 2035-2057, September. [Downloadable!] (restricted)
    Other versions:
  4. Aghion, P. & Bolton, P. & Harris, C. & Jullien, B., 1990. "Optimal Learning By Experimentation," DELTA Working Papers 90-10, DELTA (Ecole normale supérieure).
    Other versions:
  5. Kendrick, David, 2000. "Control theory with applications to economics," Handbook of Mathematical Economics, in: K. J. Arrow & M.D. Intriligator (ed.), Handbook of Mathematical Economics, edition 4, volume 1, chapter 4, pages 111-158 Elsevier. [Downloadable!] (restricted)
  6. Amman, Hans, 1996. "Numerical methods for linear-quadratic models," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 13, pages 587-618 Elsevier. [Downloadable!] (restricted)
  7. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January. [Downloadable!] (restricted)
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    Other versions:
  10. Gunter Coenen, Volker Wieland, Andrew Levin, 2001. "Evaluating Information Variables for Monetary Policy in a Noisy Economic Environment," Computing in Economics and Finance 2001 131, Society for Computational Economics.
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  19. Thomas F. Cosimano, 2003. "Optimal Experimentation and the Perturbation Method," Computing in Economics and Finance 2003 71, Society for Computational Economics.
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  21. Kiefer, Nicholas M., 1989. "A value function arising in the economics of information," Journal of Economic Dynamics and Control, Elsevier, vol. 13(2), pages 201-223, April. [Downloadable!] (restricted)
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  23. MacRae, Elizabeth Chase, 1975. "An Adaptive Learning Rule for Multiperiod Decision Problems," Econometrica, Econometric Society, vol. 43(5-6), pages 893-906, Sept.-Nov. [Downloadable!] (restricted)
  24. Tucci, Marco P., 1997. "Adaptive control in the presence of time-varying parameters," Journal of Economic Dynamics and Control, Elsevier, vol. 22(1), pages 39-47, November. [Downloadable!] (restricted)
  25. Amman, Hans & Kendrick, David, 1999. "Linear-Quadratic Optimization For Models With Rational Expectations," Macroeconomic Dynamics, Cambridge University Press, vol. 3(04), pages 534-543, December. [Downloadable!]
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  26. David Kendrick & Hans Amman, 2006. "A Classification System for Economic Stochastic Control Models," Computational Economics, Springer, vol. 27(4), pages 453-481, June. [Downloadable!] (restricted)
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  27. Eijffinger, Sylvester C W & Schaling, Eric & Tesfaselassie, Mewael F., 2006. "Learning About the Term Structure and Optimal Rules for Inflation Targeting," CEPR Discussion Papers 5896, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  28. 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)
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  31. Amman, Hans M & Kendrick, David A, 1995. "Nonconvexities in Stochastic Control Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(2), pages 455-75, May. [Downloadable!] (restricted)
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