Panel Data Endogeneity

Panel Data Endogeneity is an econometric condition arising in longitudinal datasets when one or more explanatory variables are correlated with the individual-specific error term, thereby violating the strict exogeneity assumption required for consistent estimation in panel data models.

1.1K

Publications

89.2K

Citations

2.2K

Authors

1.1K

Institutions

Publications per year

2017–2026

419

Authors

2.2K

  1. DH
    Dierk Herzer

    Helmut Schmidt University, Germany

    9 publications · 571 citations

    9

    h-index

  2. AD
    Axel Dreher

    Heidelberg University, Germany

    7 publications · 896 citations

    7

    h-index

  3. CR
    Christophe Rault

    Université d'Orléans, France

    6 publications · 462 citations

    6

    h-index

  4. NC
    Nuno Carlos Leitão

    Instituto Politécnico de Santarém, Portugal

    6 publications · 146 citations

    6

    h-index

  5. AA
    António Afonso

    University of Lisbon, Portugal

    5 publications · 393 citations

    5

    h-index

1–5 of 2.2K

Venues

  1. SSRN Electronic Journal

    Repository · 91 publications · 3.5K citations

    31

    h-index

  2. Applied Economics

    31 publications · 1.3K citations

    20

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 39 publications · 1.8K citations

    18

    h-index

  4. Sustainability

    20 publications · 754 citations

    17

    h-index

  5. Journal of Econometrics

    16 publications · 2.3K citations

    15

    h-index

1–5