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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Estimating Models with Sample Selection Bias: A Survey

Vella, Francis·1998·The Journal of Human Resources

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.

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Metadata

Authors
Vella, F.
Venue
The Journal of Human Resources
Publisher
JSTOR
Published
1998
Volume
33
Issue
1
Pages
127
ISSN
0022-166X (ISSN-L)
OpenAlex
W1493044792
Cited by
1,007
References
4
FWCI
15.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimating Models with Sample Selection Bias: A Survey. https://app.cochat.ai/papers/10.2307/146317
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Vella, F. (1998). Estimating Models with Sample Selection Bias: A Survey. The Journal of Human Resources. https://doi.org/10.2307/146317

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.