Semi-parametric Sample Selection Models
Semi-Parametric Sample Selection Models is a sample selection model that belongs to the class of statistical methods for correcting selection bias, distinguished by its relaxation of strict parametric assumptions on the distribution of error terms while maintaining some parametric structure in the selection or outcome equation.
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Publications
2K
Citations
41
Authors
37
Institutions
Publications per year
2017–2026
1
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28
Models for Sample Selection Bias
Christopher Winship, Robert D. Mare · Annual Review of Sociology · 1992 · 761 citations
1–5 of 28
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London School of Economics and Political Science, United Kingdom
3 publications · 293 citations
3
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2
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2
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Hong Kong University of Science and Technology, Hong Kong SAR China
2 publications · 75 citations
2
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2
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1–5 of 41
37
London School of Economics and Political Science
London, United Kingdom
3 h-index
3 publications
293 citations
University of Michigan
Ann Arbor, United States
3 h-index
3 publications
83 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
2 publications
75 citations
Korea University
Seoul, South Korea
2 h-index
2 publications
30 citations
University of Cyprus
Nicosia, Cyprus
1 h-index
1 publications
35 citations

University of Rochester
Rochester, United States
1 h-index
1 publications
42 citations
Shanghai University of Finance and Economics
Shanghai, China
1 h-index
1 publications
33 citations

McGill University
Montreal, Canada
1 h-index
1 publications
10 citations
1–8 of 37
5 publications · 212 citations
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3 publications · 66 citations
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Repository · 3 publications · 52 citations
3
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2 publications · 827 citations
2
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2 publications · 147 citations
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