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Handbook of Computational Economics by Kenneth L. Judd, Karl Schmedders

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Chapter 1

Learning About Learning in Dynamic Economic Models*

David A. Kendricka, Hans M. Ammanb and Marco P. Tuccic,    aDepartment of Economics, University of Texas, Austin, Texas 78712, USA,    bUtrecht School of Economics, Utrecht University, Heidelberglaan, 8, Utrecht, 3584 CS, The Netherlands,    cDipartimento di Economia Politica, Università di Siena, Piazza S. Francesco, 7, Siena, 53100, Italy,    kendrick@austin.utexas.edu, h.m.amman@uu.nl, tucci@unisi.it

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 system equations are linear, the criterion function is quadratic, and the additive noise terms are Gaussian. ...

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