Causal Inference Diagnostics

Causal Inference Diagnostics is a methodological framework within causal inference that systematically identifies and evaluates structural or distributional anomalies in observed data to ensure the validity of causal assumptions underlying sample ratio mismatch detection.

16

Publications

951

Citations

52

Authors

38

Institutions

Publications per year

2017–2026

5

Authors

52

  1. DK
    Daniel Kaffine

    University of Colorado Boulder, United States

    1 publications · 13 citations

    1

    h-index

  2. JR
    José R. Zubizarreta

    Harvard University, United States

    1 publications · 31 citations

    1

    h-index

  3. SB
    Stelios Bekiros

    European University Institute, Italy

    1 publications · 13 citations

    1

    h-index

  4. YN
    Yoshihiko Nishiyama

    Kyoto University, Japan

    1 publications · 315 citations

    1

    h-index

  5. JM
    Josh M. Colston

    Johns Hopkins University, United States

    1 publications · 45 citations

    1

    h-index

1–5 of 52

Venues

  1. Ecological Applications

    1 publications · 75 citations

    1

    h-index

  2. Journal of Econometrics

    1 publications · 315 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Statistical Planning and Inference

    1 publications · 33 citations

    1

    h-index

  5. SSRN Electronic Journal

    Repository · 1 publications · 24 citations

    1

    h-index

1–5