Nonparametric Sample Selection Models
Nonparametric Sample Selection Models is a sample selection model that belongs to the class of statistical methods used to correct selection bias, distinguished by its avoidance of parametric assumptions about the functional form or distribution of the error terms, thus allowing for more flexible and data-driven estimation of selection mechanisms.
18
Publications
1K
Citations
29
Authors
29
Institutions
Publications per year
2017–2026
1
Variants
Non-parametric Sample Selection Models
Parents
18
NONPARAMETRIC CONTINUOUS/DISCRETE CHOICE MODELS*
Whitney K. Newey · International Economic Review · 2007 · 39 citations
1–5 of 18
29
2
h-index
2
h-index
1
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
1 publications · 33 citations
1
h-index
1
h-index
1–5 of 29
29
University of Bergen
Bergen, Norway
1 h-index
1 publications
23 citations
Yale University
New Haven, United States
1 h-index
1 publications
234 citations
Voluntary Health Association Of India
New Delhi, India
1 h-index
1 publications
39 citations

Universidad Carlos III de Madrid
Madrid, Spain
1 h-index
1 publications
25 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
1 h-index
1 publications
33 citations
The Ohio State University
Columbus, United States
1 h-index
1 publications
13 citations
London School of Economics and Political Science
London, United Kingdom
1 h-index
1 publications
234 citations
European University Institute
Florence, Italy
1 h-index
1 publications
407 citations
1–8 of 29
3 publications · 101 citations
3
h-index
2 publications · 641 citations
2
h-index
Repository · 1 publications · 15 citations
1
h-index
Repository · 1 publications · 23 citations
1
h-index
1 publications · 18 citations
1
h-index
1–5