Instrumental Variables

Instrumental Variables is an econometric technique that uses exogenous variables, correlated with the explanatory variable but uncorrelated with the error term, to consistently estimate causal effects in the presence of endogeneity.

2.7K

Publications

350.9K

Citations

3.6K

Authors

1.5K

Institutions

Publications per year

2017–2026

604

Authors

3.6K

  1. JD
    Joshua D. Angrist

    Massachusetts Institute of Technology, United States

    44 publications · 20.6K citations

    32

    h-index

  2. GW
    Guido W. Imbens

    Stanford University, United States

    30 publications · 16.7K citations

    25

    h-index

  3. JJ
    James J. Heckman

    University of Chicago, United States

    27 publications · 5.5K citations

    22

    h-index

  4. DS
    Dylan S. Small

    University of Pennsylvania, United States

    27 publications · 2.2K citations

    20

    h-index

  5. CH
    Christian Hansen

    University of Chicago, United States

    21 publications · 3.8K citations

    19

    h-index

1–5 of 3.6K

Venues

  1. Journal of Econometrics

    161 publications · 52K citations

    67

    h-index

  2. Econometrica

    95 publications · 58.4K citations

    63

    h-index

  3. SSRN Electronic Journal

    Repository · 219 publications · 9.6K citations

    48

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 145 publications · 7.6K citations

    43

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 61 publications · 10.4K citations

    39

    h-index

1–5