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Author: Li, Tong
Resulting in 1 citation.
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Li, Tong Zheng, Xiaoyong |
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Semiparametric Bayesian Inference for Dynamic Tobit Panel Data Models with Unobserved Heterogeneity Journal of Applied Econometrics 23,6 (September 2008): 699-728. Also: http://onlinelibrary.wiley.com/doi/10.1002/jae.1017/abstract Cohort(s): NLSY79 Publisher: Wiley Online Keyword(s): Bayesian; Data Analysis; Heterogeneity; Labor Supply; Markov chain / Markov model; Monte Carlo; Statistical Analysis; Women Permission to reprint the abstract has not been received from the publisher. This paper develops semiparametric Bayesian methods for inference of dynamic Tobit panel data models. Our approach requires that the conditional mean dependence of the unobserved heterogeneity on the initial conditions and the strictly exogenous variables be specified. Important quantities of economic interest such as the average partial effect and average transition probabilities can be readily obtained as a by-product of the Markov chain Monte Carlo run. We apply our method to study female labor supply using a panel data set from the National Longitudinal Survey of Youth 1979. Copyright (c) 2008 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR] |
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Bibliography Citation
Li, Tong and Xiaoyong Zheng. "Semiparametric Bayesian Inference for Dynamic Tobit Panel Data Models with Unobserved Heterogeneity." Journal of Applied Econometrics 23,6 (September 2008): 699-728.
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