Selection Bias Correction
Selection Bias Correction is a methodological approach in statistical modeling that addresses systematic distortions arising from non-random sample selection by adjusting estimates to ensure valid inference under the assumption of missing-not-at-random data.
328
Publications
56.6K
Citations
791
Authors
448
Institutions
Publications per year
2017–2026
81
Parents
328
Sample Selection Bias as a Specification Error
James J. Heckman · Econometrica · 1979 · 28.9K citations
Jelke Bethlehem · International Statistical Review · 2010 · 1.2K citations · Full text
James Heckman · American Economic Review · 1990 · 1.2K citations
The Heckman Correction for Sample Selection and Its Critique
Patrick A. Puhani · Journal of Economic Surveys · 2000 · 1.1K citations
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448
Harvard University
Cambridge, United States
11 h-index
19 publications
944 citations
University of Michigan
Ann Arbor, United States
11 h-index
28 publications
814 citations
Northwestern University
Evanston, United States
8 h-index
12 publications
1.5K citations

Vanderbilt University
Nashville, United States
5 h-index
9 publications
392 citations
Yale University
New Haven, United States
5 h-index
6 publications
322 citations
University of California, Berkeley
Berkeley, United States
5 h-index
12 publications
405 citations
Educational Testing Service
Princeton, United States
4 h-index
4 publications
833 citations
University of Wisconsin–Madison
Madison, United States
4 h-index
4 publications
362 citations
1–8 of 448
Repository · 15 publications · 1.1K citations
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10 publications · 1.7K citations
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Repository · 8 publications · 443 citations
8
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6 publications · 693 citations
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6 publications · 1.5K citations
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