Econometric Analysis of Sequential Discrete Choice Models

Mark Y An ()

No 95-55, Working Papers from Duke University, Department of Economics

Abstract: This paper specifies an estimable dynamic model of sequential discrete choices in a controlled jump-process framework. We study sufficient conditions under which the agent's optimal policy is stationary. We show that the observable event histories at the micro-level are sample semi-Markovian. We provide, for the first time, sufficient and necessary conditions under which the destination-specific hazard functions belong to the proportional hazard family. We propose a computing algorithm for statistical inference of the structural parameters from longitudinal survey data.

JEL-codes: C51 C81 J64 (search for similar items in EconPapers)
Date: 1995
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