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The Structural Estimation of Behavioral Models: Discrete Choice Dynamic Programming Methods and Applications

Michael Keane (), Petra Todd and Kenneth I. Wolpin

Chapter 04 in Handbook of Labor Economics, 2011, vol. 4A, pp 331-461 from Elsevier

Abstract: The purpose of this chapter is twofold: (1) to provide an accessible introduction to the methods of structural estimation of discrete choice dynamic programming (DCDP) models and (2) to survey the contributions of applications of these methods to substantive and policy issues in labor economics. The first part of the chapter describes solution and estimation methods for DCDP models using, for expository purposes, a prototypical female labor force participation model. The next part reviews the contribution of the DCDP approach to three leading areas in labor economics: labor supply, job search and human capital. The final section discusses approaches to validating DCDP models.

Keywords: Structural estimation; Discrete choice; Dynamic programming; Labor supply; Job search; Human capital (search for similar items in EconPapers)
JEL-codes: J0 (search for similar items in EconPapers)
Date: 2011
ISBN: 978-0-444-53450-7
References: View references in EconPapers View complete reference list from CitEc
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