Distributional Modeling

Distributional Modeling is a methodological framework within Distributional Impact Analysis that formally characterizes the differential effects of policies, interventions, or systemic changes across heterogeneous populations by specifying the structure and parameters of outcome distributions.

402

Publications

28.2K

Citations

1K

Authors

590

Institutions

Publications per year

2017–2026

88

Authors

1K

  1. JL
    Janet L. Peacock

    King's College London, United Kingdom

    5 publications · 124 citations

    5

    h-index

  2. OS
    Odile Sauzet

    Bielefeld University, Germany

    5 publications · 124 citations

    5

    h-index

  3. SK
    Stephan Klasen

    University of Göttingen, Germany

    4 publications · 114 citations

    4

    h-index

  4. HB
    Helge Bruelheide

    Martin Luther University Halle-Wittenberg, Germany

    3 publications · 98 citations

    3

    h-index

  5. AZ
    Achim Zeileis

    Universität Innsbruck, Austria

    3 publications · 112 citations

    3

    h-index

1–5 of 1K

Venues

  1. SSRN Electronic Journal

    Repository · 12 publications · 238 citations

    11

    h-index

  2. arXiv (Cornell University)

    Repository · 13 publications · 635 citations

    11

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 10 publications · 279 citations

    10

    h-index

  4. Journal of the American Statistical Association

    10 publications · 835 citations

    10

    h-index

  5. PLoS ONE

    5 publications · 240 citations

    5

    h-index

1–5