Copula-based Sample Selection Models

Copula-Based Sample Selection Models is a statistical modeling framework that extends traditional sample selection models by using copula functions to flexibly specify the joint distribution of the selection and outcome equations, allowing for general forms of dependence between the error terms beyond the Gaussian assumption.

21

Publications

2.1K

Citations

47

Authors

34

Institutions

Publications per year

2017–2026

6

Authors

47

  1. GM
    Giampiero Marra

    University College London, United Kingdom

    3 publications · 79 citations

    3

    h-index

  2. MS
    Murray Smith

    The University of Sydney, Australia

    2 publications · 215 citations

    2

    h-index

  3. CR
    Chandra R. Bhat

    The University of Texas at Austin, United States

    2 publications · 104 citations

    2

    h-index

  4. TH
    Takuya Hasebe

    Sophia University, Japan

    2 publications · 66 citations

    2

    h-index

  5. RR
    Rosalba Radice

    University College London, United Kingdom

    2 publications · 51 citations

    2

    h-index

1–5 of 47

Venues

  1. Computational Statistics & Data Analysis

    CSDA · 2 publications · 54 citations

    2

    h-index

  2. 2

    h-index

  3. SSRN Electronic Journal

    Repository · 2 publications · 27 citations

    2

    h-index

  4. 1

    h-index

  5. Computers and Geotechnics

    1 publications · 212 citations

    1

    h-index

1–5