Using data from the National Longitudinal Survey of Youth (NLSY) we introduce and estimate various Bayesian hierarchical models that investigate the nature of unobserved heterogeneity in returns to schooling. We consider a variety of possible forms for the heterogeneity, some motivated by previous theoretical and empirical work and some new ones, and let the data decide among the competing specifications. Empirical results indicate that heterogeneity is present in returns to education. Furthermore, we find strong evidence that the heterogeneity follows a continuous rather than a discrete distribution, and that bivariate normality provides a very reasonable description of individual-level heterogeneity in intercepts and returns to schooling. Copyright (C) 2004 John Wiley Sons, Ltd.
机构:
China Agr Univ, Coll Econ & Management, Dept Appl Econ, Beijing, Peoples R ChinaChina Agr Univ, Coll Econ & Management, Dept Appl Econ, Beijing, Peoples R China
Chen, Qihui
Xu, Jingqin
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Zhejiang A&F Univ, Sch Econ & Management, Linan, Peoples R China
Ctr Farmers Dev Res Zhejiang Prov, Linan, Peoples R ChinaChina Agr Univ, Coll Econ & Management, Dept Appl Econ, Beijing, Peoples R China
Xu, Jingqin
Zhao, Jiaqi
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China Agr Univ, Coll Econ & Management, Beijing, Peoples R ChinaChina Agr Univ, Coll Econ & Management, Dept Appl Econ, Beijing, Peoples R China
Zhao, Jiaqi
Zhang, Bo
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US FDA, Potomac, MD USAChina Agr Univ, Coll Econ & Management, Dept Appl Econ, Beijing, Peoples R China
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Waseda Univ, Sch Social Sci, Tokyo, Japan
Waseda Univ, Sch Social Sci, 1-104, Totsukamachi, Tokyo 1698050, JapanWaseda Univ, Sch Social Sci, Tokyo, Japan