Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/73128
Authors: 
Schwiebert, Jörg
Year of Publication: 
2012
Series/Report no.: 
Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät, Universität Hannover 503
Abstract: 
We provide a semiparametric copula approach for estimating a classical sample selection model. We impose that the joint distribution function of unobservables can be characterized by a specifc copula, but the marginal distribution functions are estimated semiparametrically. In contrast to existing semiparametric estimators for sample selection models, our approach provides a measure of dependence between unobservables in main and selection equation which can be used to analyze the composition of, say, the female workforce. We apply our estimation procedure to a female labor supply data set and show that those women with the best skills participate in the labor market; moreover, we find evidence for the existence of an ability threshold which involves that women with high ability are to some extent advantaged and, therefore, have also obtained the best skills.
Subjects: 
Sample selection model
semiparametric estimation
copula approach
composition of the female workforce
female labor force participation
JEL: 
C21
C24
J21
J31
Document Type: 
Working Paper

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