Heckman Selection Correction

Heckman Selection Correction is an econometric method that addresses sample selection bias by modeling the selection process as a probit equation and incorporating an inverse Mills ratio into the outcome equation to correct for non-random sample selection.

111

Publications

6.8K

Citations

252

Authors

175

Institutions

Publications per year

2017–2026

28

Variants

Heckman Two-stage ProcedureHeckman's Two-step Method

Authors

252

  1. PW
    Patrick W. Sullivan

    University of Colorado Denver, United States

    3 publications · 189 citations

    3

    h-index

  2. VG
    Vahram Ghushchyan

    University of Colorado Denver, United States

    3 publications · 189 citations

    3

    h-index

  3. JW
    Jennifer Wu Tucker

    University of Florida, United States

    2 publications · 537 citations

    2

    h-index

  4. PA
    Patrick A. Puhani

    Leibniz University Hannover, Germany

    2 publications · 1.1K citations

    2

    h-index

  5. DP
    Daniela Piazzalunga

    University of Turin, Italy

    2 publications · 58 citations

    2

    h-index

1–5 of 252

Venues

  1. SSRN Electronic Journal

    Repository · 13 publications · 800 citations

    11

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 5 publications · 134 citations

    5

    h-index

  3. International Journal of Manpower

    IJM · 4 publications · 70 citations

    4

    h-index

  4. AgEcon Search (University of Minnesota, USA)

    Repository · 3 publications · 42 citations

    3

    h-index

  5. Applied Economics

    3 publications · 69 citations

    3

    h-index

1–5