Fixed-effect Specification Tests

Fixed-Effect Specification Tests is a statistical methodology used in panel data analysis to assess the validity of the fixed-effects assumption by testing whether the individual-specific effects are uncorrelated with the explanatory variables, distinguishing it from general diagnostic tests through its focus on the appropriateness of the fixed-effects modeling approach relative to random or pooled alternatives.

100

Publications

10.6K

Citations

169

Authors

134

Institutions

Publications per year

2017–2026

17

Variants

Fixed-effects Specification Tests

Authors

169

  1. EA
    Eric A. Hanushek

    Hoover Institution, United States

    4 publications · 927 citations

    4

    h-index

  2. DM
    Daniel McFadden

    University of California, Berkeley, United States

    3 publications · 2.9K citations

    3

    h-index

  3. JA
    Jerry A. Hausman

    Massachusetts Institute of Technology, United States

    3 publications · 2.7K citations

    3

    h-index

  4. LW
    Ludger Woessmann

    Ifo Institute for Economic Research, Germany

    3 publications · 664 citations

    3

    h-index

  5. RJ
    Rajshri Jayaraman

    European School of Management and Technology, Germany

    3 publications · 114 citations

    3

    h-index

1–5 of 169

Venues

  1. SSRN Electronic Journal

    Repository · 12 publications · 561 citations

    11

    h-index

  2. Journal of Econometrics

    10 publications · 790 citations

    10

    h-index

  3. The Review of Economics and Statistics

    5 publications · 833 citations

    5

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 4 publications · 221 citations

    4

    h-index

  5. 3

    h-index

1–5