Truncated Regression Models

Truncated Regression Models is a class of econometric models that belongs to the broader category of regression analysis, distinguished by its explicit treatment of data samples in which observations are systematically excluded beyond a certain threshold, thereby requiring adjustments to the likelihood function to account for the resulting sample selection bias.

168

Publications

16.3K

Citations

403

Authors

251

Institutions

Publications per year

2017–2026

51

Authors

403

  1. TA
    Takeshi Amemiya

    Stanford University, United States

    3 publications · 1.7K citations

    3

    h-index

  2. BE
    Bo E. Honoré

    Princeton University, United States

    3 publications · 1K citations

    3

    h-index

  3. WH
    William H. Greene

    New York University, United States

    3 publications · 1.2K citations

    3

    h-index

  4. AL
    Arthur Lewbel

    Boston College, United States

    3 publications · 145 citations

    3

    h-index

  5. CP
    Carlos Pestana Barros

    University of Lisbon, Portugal

    3 publications · 98 citations

    3

    h-index

1–5 of 403

Venues

  1. Econometrica

    9 publications · 3.4K citations

    9

    h-index

  2. 5

    h-index

  3. 3

    h-index

  4. Sustainability

    3 publications · 79 citations

    3

    h-index

  5. Econometric Theory

    3 publications · 85 citations

    3

    h-index

1–5