Binary Instrumental Variables

Binary Instrumental Variables is an instrumental variable that belongs to the class of discrete instruments and is specifically characterized by taking on only two distinct values, typically 0 and 1, to address endogeneity in causal inference.

34

Publications

1.2K

Citations

71

Authors

46

Institutions

Publications per year

2017–2026

15

Authors

71

  1. JM
    James M. Robins

    Harvard University, United States

    3 publications · 62 citations

    3

    h-index

  2. TS
    Thomas S. Richardson

    University of Washington, United States

    3 publications · 62 citations

    3

    h-index

  3. ET
    Eric Tchetgen Tchetgen

    Harvard University, United States

    2 publications · 78 citations

    2

    h-index

  4. MA
    Mark A. Huselid

    Rutgers, The State University of New Jersey, United States

    2 publications · 327 citations

    2

    h-index

  5. JP
    Jason P. Fine

    University of North Carolina at Chapel Hill, United States

    2 publications · 30 citations

    2

    h-index

1–5 of 71

Venues

  1. Biometrika

    5 publications · 112 citations

    5

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  2. 3

    h-index

  3. Quantitative Economics

    QE · 2 publications · 78 citations

    2

    h-index

  4. Journal of Applied Psychology

    2 publications · 327 citations

    2

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 2 publications · 29 citations

    2

    h-index

1–5