Treatment Effects

Treatment Effects is a causal inference framework in econometrics that identifies and estimates the impact of a specific intervention or policy on an outcome variable by comparing potential outcomes under treatment and non-treatment conditions.

3.7K

Publications

611.2K

Citations

5.8K

Authors

1.8K

Institutions

Publications per year

2017–2026

1.3K

Authors

5.8K

  1. GW
    Guido W. Imbens

    Stanford University, United States

    71 publications · 38.2K citations

    43

    h-index

  2. JJ
    James J. Heckman

    University of Chicago, United States

    50 publications · 9.5K citations

    35

    h-index

  3. DB
    Donald B. Rubin

    Harvard University, United States

    42 publications · 70.4K citations

    34

    h-index

  4. JM
    James M. Robins

    Harvard University, United States

    50 publications · 16.1K citations

    34

    h-index

  5. PC
    Peter C. Austin

    University of Toronto, Canada

    36 publications · 27.1K citations

    33

    h-index

1–5 of 5.8K

Venues

  1. Statistics in Medicine

    214 publications · 32.1K citations

    71

    h-index

  2. Journal of the American Statistical Association

    151 publications · 42.5K citations

    66

    h-index

  3. SSRN Electronic Journal

    Repository · 226 publications · 15.1K citations

    58

    h-index

  4. Biometrics

    103 publications · 7.7K citations

    43

    h-index

  5. Econometrica

    48 publications · 28.9K citations

    39

    h-index

1–5