Counterfactual Identification

Counterfactual Identification is a methodological framework within causal inference that specifies the conditions under which counterfactual quantities can be uniquely determined from observed data, distinguished from other identification problems by its focus on individual-level causal effects under hypothetical interventions.

127

Publications

9.3K

Citations

339

Authors

188

Institutions

Publications per year

2017–2026

74

Authors

339

  1. MG
    Marc Giannoni

    Federal Reserve Bank of New York, United States

    4 publications · 103 citations

    4

    h-index

  2. JB
    Jean Boivin

    HEC Montréal, Canada

    4 publications · 103 citations

    4

    h-index

  3. IS
    Ilya Shpitser

    Johns Hopkins University, United States

    3 publications · 87 citations

    3

    h-index

  4. JP
    Judea Pearl

    University of California, Los Angeles, United States

    3 publications · 99 citations

    3

    h-index

  5. MA
    Miguel A. Hernán

    Harvard University, United States

    3 publications · 51 citations

    3

    h-index

1–5 of 339

Venues

  1. SSRN Electronic Journal

    Repository · 10 publications · 234 citations

    10

    h-index

  2. arXiv (Cornell University)

    Repository · 9 publications · 267 citations

    9

    h-index

  3. Quantitative Economics

    QE · 4 publications · 114 citations

    4

    h-index

  4. Mind

    3 publications · 169 citations

    3

    h-index

  5. Management Science

    2 publications · 61 citations

    2

    h-index

1–5