Two-step Estimation

Two-Step Estimation is a statistical method in the class of sample selection models that corrects for selection bias by first estimating the probability of sample inclusion through a selection equation and then incorporating the estimated inverse Mills ratio as a regressor in the second-stage outcome equation.

460

Publications

45.6K

Citations

948

Authors

538

Institutions

Publications per year

2017–2026

137

Variants

Heckman CorrectionHeckman Two-step

Authors

948

  1. FW
    Frank Windmeijer

    University of Bristol, United Kingdom

    6 publications · 6.6K citations

    6

    h-index

  2. WK
    Whitney K. Newey

    Massachusetts Institute of Technology, United States

    5 publications · 2.6K citations

    5

    h-index

  3. PM
    Paulo Maçãs Nunes

    University of Beira Interior, Portugal

    5 publications · 143 citations

    5

    h-index

  4. RS
    Raufhon Salahodjaev

    Tashkent State University of Economics, Uzbekistan

    4 publications · 190 citations

    4

    h-index

  5. SG
    Sinan Gezici

    Bilkent University, Türkiye

    4 publications · 170 citations

    4

    h-index

1–5 of 948

Venues

  1. SSRN Electronic Journal

    Repository · 31 publications · 1.7K citations

    19

    h-index

  2. Journal of Econometrics

    14 publications · 7.4K citations

    13

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 13 publications · 9.6K citations

    13

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 16 publications · 2.8K citations

    13

    h-index

  5. Econometric Theory

    12 publications · 913 citations

    11

    h-index

1–5