Fixed-effect Estimators

Fixed-Effect Estimators is a statistical method that belongs to the class of panel data estimation techniques, distinguished by its explicit modeling of unobserved heterogeneity through individual-specific intercepts assumed to be correlated with the independent variables.

868

Publications

95.2K

Citations

1.3K

Authors

753

Institutions

Publications per year

2017–2026

333

Variants

Fixed-effects Estimators

Authors

1.3K

  1. CD
    Clément de Chaisemartin

    University of California, Santa Barbara, United States

    12 publications · 6.1K citations

    12

    h-index

  2. MW
    Martin Weidner

    University College London, United Kingdom

    13 publications · 1.3K citations

    12

    h-index

  3. JH
    Jinyong Hahn

    University of California, Los Angeles, United States

    12 publications · 1.8K citations

    11

    h-index

  4. BH
    Badi H. Baltagi

    Syracuse University, United States

    11 publications · 1.7K citations

    11

    h-index

  5. IF
    Iván Fernández‐Val

    Boston University, United States

    10 publications · 819 citations

    10

    h-index

1–5 of 1.3K

Venues

  1. Journal of Econometrics

    66 publications · 14.1K citations

    42

    h-index

  2. SSRN Electronic Journal

    Repository · 68 publications · 5.5K citations

    30

    h-index

  3. 21

    h-index

  4. Economics Letters

    29 publications · 2.6K citations

    19

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 38 publications · 1.8K citations

    18

    h-index

1–5