Robustness Checks

Robustness Check is a methodological procedure in natural experiments that assesses the stability and reliability of causal inferences by systematically varying model specifications, assumptions, or sample conditions to determine whether the core results persist under alternative analytical choices.

856

Publications

52.3K

Citations

2.1K

Authors

1.1K

Institutions

Publications per year

2017–2026

483

Authors

2.1K

  1. DJ
    Douglas J. Cumming

    Florida Atlantic University, United States

    10 publications · 1.1K citations

    10

    h-index

  2. MT
    Michael T. French

    University of Miami, United States

    5 publications · 164 citations

    5

    h-index

  3. AB
    Andrea Bassanini

    Organisation de Coopération et de Développement Economiques, France

    5 publications · 638 citations

    5

    h-index

  4. PJ
    Pornsit Jiraporn

    Pennsylvania State University, United States

    4 publications · 185 citations

    4

    h-index

  5. JW
    John Worrall

    The University of Texas at Dallas, United States

    4 publications · 170 citations

    4

    h-index

1–5 of 2.1K

Venues

  1. SSRN Electronic Journal

    Repository · 108 publications · 3.8K citations

    33

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 20 publications · 455 citations

    13

    h-index

  3. Applied Economics

    14 publications · 417 citations

    13

    h-index

  4. Sustainability

    14 publications · 854 citations

    12

    h-index

  5. PLoS ONE

    10 publications · 480 citations

    10

    h-index

1–5