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.

28

Publications

2K

Citations

41

Authors

37

Institutions

Publications per year

2017–2026

1

Authors

41

  1. MM
    Marcia M. A. Schafgans

    London School of Economics and Political Science, United Kingdom

    3 publications · 293 citations

    3

    h-index

  2. ML
    Myoung‐jae Lee

    Korea University, South Korea

    2 publications · 30 citations

    2

    h-index

  3. DW
    Donald W. K. Andrews

    Yale University, United States

    2 publications · 249 citations

    2

    h-index

  4. SC
    Songnian Chen

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 75 citations

    2

    h-index

  5. GM
    Giampiero Marra

    University College London, United Kingdom

    2 publications · 62 citations

    2

    h-index

1–5 of 41

Venues

  1. Journal of Econometrics

    5 publications · 212 citations

    5

    h-index

  2. Econometric Theory

    3 publications · 66 citations

    3

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 3 publications · 52 citations

    3

    h-index

  4. Annual Review of Sociology

    2 publications · 827 citations

    2

    h-index

  5. Journal of Applied Econometrics

    2 publications · 147 citations

    2

    h-index

1–5