Heckman Correction

Heckman Correction is a statistical method that addresses sample selection bias by incorporating an inverse Mills ratio derived from a first-stage selection equation into a second-stage outcome equation to correct for non-randomly missing data.

75

Publications

5.8K

Citations

155

Authors

96

Institutions

Publications per year

2017–2026

23

Variants

Heckman Two-stage ProcedureHeckman's Two-step Method

Authors

155

  1. PA
    Patrick A. Puhani

    Leibniz University Hannover, Germany

    2 publications · 1.1K citations

    2

    h-index

  2. MA
    Monazza Aslam

    University of Oxford, United Kingdom

    2 publications · 121 citations

    2

    h-index

  3. DP
    Daniela Piazzalunga

    University of Turin, Italy

    2 publications · 58 citations

    2

    h-index

  4. AB
    Anne Busch

    German Institute for Economic Research, Germany

    2 publications · 48 citations

    2

    h-index

  5. EH
    Elke Holst

    German Institute for Economic Research, Germany

    2 publications · 48 citations

    2

    h-index

1–5 of 155

Venues

  1. RePEc: Research Papers in Economics

    Repository · 5 publications · 140 citations

    5

    h-index

  2. SSRN Electronic Journal

    Repository · 4 publications · 108 citations

    4

    h-index

  3. AgEcon Search (University of Minnesota, USA)

    Repository · 3 publications · 75 citations

    3

    h-index

  4. Applied Economics

    3 publications · 69 citations

    3

    h-index

  5. Journal of Economic Studies

    JES · 3 publications · 52 citations

    3

    h-index

1–5