Spatial Sample Selection Models

Spatial Sample Selection Models is a class of econometric models that account for non-random sampling mechanisms in spatial data by simultaneously modeling the spatial dependence in both the selection and outcome processes to correct for sample selection bias arising from spatially correlated unobservables.

5

Publications

283

Citations

12

Authors

9

Institutions

Publications per year

2017–2026

2

Authors

12

  1. ST
    Süleyman Taşpınar

    Queens College, CUNY, United States

    1 publications · 15 citations

    1

    h-index

  2. LS
    Lina Schelin

    Umeå University, Sweden

    1 publications · 217 citations

    1

    h-index

  3. MB
    Martha Bohorquez

    Universitat Jaume I, Spain

    1 publications · 26 citations

    1

    h-index

  4. OD
    Osman Doğan

    University of Illinois Urbana-Champaign, United States

    1 publications · 15 citations

    1

    h-index

  5. RG
    Ramón Giraldo

    Universidad Nacional de Colombia, Colombia

    1 publications · 26 citations

    1

    h-index

1–5 of 12

Venues

  1. 1

    h-index

  2. Statistical Methods & Applications

    1 publications · 26 citations

    1

    h-index

  3. Biometrics

    1 publications · 217 citations

    1

    h-index

  4. Oxford Bulletin of Economics and Statistics

    1 publications · 15 citations

    1

    h-index

  5. 1

    h-index

1–5