Nonrandom Sample Attrition
Nonrandom Sample Attrition is a type of sample selection bias in which the omission of observations from a dataset over time or across stages of analysis systematically depends on unobserved or observed characteristics related to the outcome of interest, leading to potentially biased and inconsistent parameter estimates.
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6.2K
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169
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94
Institutions
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2017–2026
3
Variants
Sample Attrition Bias
Parents
65
Modelling low income transitions
Lorenzo Cappellari, Stephen P. Jenkins · Journal of Applied Econometrics · 2004 · 275 citations
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IZA - Institute of Labor Economics
Bonn, Germany
4 h-index
6 publications
382 citations

University of Essex
Colchester, United Kingdom
4 h-index
6 publications
640 citations
University of Southern California
Los Angeles, United States
3 h-index
5 publications
194 citations
RAND Corporation
Santa Monica, United States
3 h-index
5 publications
321 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
2 publications
83 citations
University of California San Diego
San Diego, United States
2 h-index
6 publications
1.1K citations
University of Michigan
Ann Arbor, United States
2 h-index
3 publications
142 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
2 publications
780 citations
1–8 of 94
Repository · 6 publications · 154 citations
6
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Repository · 3 publications · 66 citations
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3 publications · 84 citations
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Repository · 3 publications · 88 citations
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SMR · 2 publications · 310 citations
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