Quasi-experimental Evaluation

Quasi-Experimental Evaluation is a rigorous impact evaluation design that belongs to the broader class of causal inference methods, distinguished by its use of naturally occurring or externally imposed variations to approximate experimental conditions without random assignment, thereby enabling credible estimation of causal effects in real-world policy and program settings.

164

Publications

24.8K

Citations

376

Authors

211

Institutions

Publications per year

2017–2026

43

Authors

376

  1. TD
    Thomas D. Cook

    Northwestern University, United States

    6 publications · 306 citations

    6

    h-index

  2. DT
    Donald T. Campbell

    Northwestern University, United States

    5 publications · 1.1K citations

    5

    h-index

  3. PT
    Peter Tugwell

    University of Ottawa, Canada

    4 publications · 294 citations

    4

    h-index

  4. JR
    John‐Arne Røttingen

    University of Oslo, Norway

    3 publications · 276 citations

    3

    h-index

  5. TD
    Thomas D. Cook

    University of Wisconsin–Madison, United States

    3 publications · 92 citations

    3

    h-index

1–5 of 376

Venues

  1. Evaluation Review

    8 publications · 713 citations

    8

    h-index

  2. SSRN Electronic Journal

    Repository · 6 publications · 168 citations

    6

    h-index

  3. Journal of Clinical Epidemiology

    5 publications · 341 citations

    5

    h-index

  4. American Economic Review

    4 publications · 1.4K citations

    4

    h-index

  5. Journal of Experimental Criminology

    4 publications · 254 citations

    4

    h-index

1–5