Estimating Models with Sample Selection Bias: A Survey

Francis Vella

Journal of Human Resources, 1998, vol. 33, issue 1, 127-169

Abstract: This paper surveys the available methods for estimating models with sample selection bias. I initially examine the fully parameterized model proposed by Heckman (1979) before investigating departures in two directions. First, I consider the relaxation of distributional assumptions. In doing so I present the available semi-parametric procedures. Second, I investigate the ability to tackle different selection rules generating the selection bias. Finally, I discuss how the estimation procedures applied in the cross-sectional case can be extended to panel data.

Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (509)

Downloads: (external link)
http://www.jstor.org/stable/pdfplus/146317
A subscription is required to access pdf files. Pay per article is available.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:uwp:jhriss:v:33:y:1998:i:1:p:127-169

Access Statistics for this article

More articles in Journal of Human Resources from University of Wisconsin Press
Bibliographic data for series maintained by ().