Fixed Effects Count Models

Fixed Effects Count Models is a class of panel data regression models designed for count outcomes that control for unobserved time-invariant heterogeneity by incorporating individual-specific fixed effects within a conditional maximum likelihood framework.

32

Publications

2K

Citations

81

Authors

57

Institutions

Publications per year

2017–2026

7

Authors

81

  1. FW
    Frank Windmeijer

    University of Bristol, United Kingdom

    4 publications · 414 citations

    4

    h-index

  2. JB
    Jean‐Philippe Boucher

    CEA Grenoble, France

    2 publications · 69 citations

    2

    h-index

  3. KT
    Kasaundra Tomlin

    Oakland University, United States

    2 publications · 71 citations

    2

    h-index

  4. JM
    J. M. C. SANTOS SILVA

    Institute for Fiscal Studies, United Kingdom

    2 publications · 313 citations

    2

    h-index

  5. MD
    Michel Denuit

    UCLouvain, Belgium

    2 publications · 69 citations

    2

    h-index

1–5 of 81

Venues

  1. Economics Letters

    2 publications · 130 citations

    2

    h-index

  2. Southern Economic Journal

    2 publications · 71 citations

    2

    h-index

  3. Astin Bulletin

    2 publications · 69 citations

    2

    h-index

  4. Journal of Applied Econometrics

    2 publications · 313 citations

    2

    h-index

  5. SSRN Electronic Journal

    Repository · 2 publications · 121 citations

    2

    h-index

1–5