Arbeitspapier
Bayesian procedures as a numerical tool for the estimation of dynamic discrete choice models
Dynamic discrete choice models usually require a general specification of unobserved heterogeneity. In this paper, we apply Bayesian procedures as a numerical tool for the estimation of a female labor supply model based on a sample size which is typical for common household panels. We provide two important results for the practitioner: First, for a specification with a multivariate normal distribution for the unobserved heterogeneity, the Bayesian MCMC estimator yields almost identical results as a classical Maximum Simulated Likelihood (MSL) estimator. Second, we show that when imposing distributional assumptions which are consistent with economic theory, e.g. log-normally distributed consumption preferences, the Bayesian method performs well and provides reasonable estimates, while the MSL estimator does not converge. These results indicate that Bayesian procedures can be a beneficial tool for the estimation of dynamic discrete choice models.
- Language
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Englisch
- Bibliographic citation
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Series: DIW Discussion Papers ; No. 1210
- Classification
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Wirtschaft
Bayesian Analysis: General
Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
Time Allocation and Labor Supply
- Subject
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Bayesian Estimation
Dynamic Discrete Choice Models
Intertemporal Labor Supply Behavior
- Event
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Geistige Schöpfung
- (who)
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Haan, Peter
Kemptner, Daniel
Uhlendorff, Arne
- Event
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Veröffentlichung
- (who)
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Deutsches Institut für Wirtschaftsforschung (DIW)
- (where)
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Berlin
- (when)
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2012
- Handle
- Last update
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10.03.2025, 11:45 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Haan, Peter
- Kemptner, Daniel
- Uhlendorff, Arne
- Deutsches Institut für Wirtschaftsforschung (DIW)
Time of origin
- 2012
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