Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/267988 
Year of Publication: 
2022
Series/Report no.: 
Working Paper No. WP 2022-33
Publisher: 
Federal Reserve Bank of Chicago, Chicago, IL
Abstract: 
This paper studies semiparametric versions of the classical sample selection model (Heckman (1976, 1979)) without exclusion restrictions. We extend the analysis in Honor'e and Hu (2020) by allowing for parameter heterogeneity and derive implications of this model. We also consider models that allow for heteroskedasticity and briefly discuss other extensions. The key ideas are illustrated in a simple wage regression for females. We find that the derived implications of a semiparametric version of Heckman's classical sample selection model are consistent with the data for women with no college education, but strongly rejected for women with a college degree or more.
Subjects: 
Selection
Heterogeneity
Heteroskedasticity
Exclusion Restrictions
Identification
JEL: 
C01
C14
C21
C24
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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