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Empirical Applications of Discrete Choice Dynamic Programming Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Michael P. Keane (Arizona State University)
Kenneth I. Wolpin (University of Pennsylvania)
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The development over the past 25 years of methods for the estimation of discrete choice dynamic programming (DCDP) models opened up new frontiers for empirical research in a host of areas, including labor economics, industrial organization, economic demography, health economics, development economics, political economy and marketing. In this paper, we first describe the development of the DCDP framework, showing how it was a natural extension of static discrete choice modeling. We then summarize six papers that adopt the DCDP paradigm that address substantively important social and economic questions. Finally, we consider the issue of the credibility of empirical findings based on the structural estimation of DCDP models. (Copyright: Elsevier)
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Article provided by Elsevier for the Society for Economic Dynamics in its journal Review of Economic Dynamics .
Volume (Year): 12 (2009)
Issue (Month): 1 (January)
Pages: 1-22
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Handle: RePEc:red:issued:08-8Contact details of provider: Postal: Review of Economic Dynamics Academic Press Editorial Office 525 "B" Street, Suite 1900 San Diego, CA 92101 Fax: 1-860-486-4463 Email: Web page: http://www.EconomicDynamics.org/review.htm More information through EDIRC
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Keywords: Discrete choice dynamic programming models Policy evaluation Structural estimation Other versions of this item:
Find related papers by JEL classification: C5 - Mathematical and Quantitative Methods - - Econometric Modeling B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
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