학술저널
Semiparametric Estimation of Dynamic Discrete Choice Models of Optimal Stopping with Unobserved Heterogeneity
- 한국계량경제학회
- JOURNAL OF ECONOMIC THEORY AND ECONOMETRICS
- Vol.23 No.3
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2012.09201 - 212 (12 pages)
- 22
This paper derives a multinomial logit form for dynamic discrete choice models of optimal stopping and suggests a two-step estimator. The first stage estimates nonparametrically the choice probability of terminal state next period. The second stage is an implementation of modified multinomial logit estimation. This paper also suggests semiparametric conditional choice probability (CCP) estimators for discrete choice dynamic models allowing for unobserved individual heterogeneity. I describe a modified Expectation-Maximization (EM) algorithm that involves nonparametric first stage estimation.
Abstract
1. INTRODUCTION
2. DYNAMIC DISCRETE CHOICE MODEL
3. PROBLEMS OF OPTIMAL STOPPING
4. ALLOWING FOR UNOBSERVED INDIVIDUAL HETEROGENEITY
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