Instrumental Variables Specification

Instrumental Variables Specification is a model-level methodological framework within econometrics and causal inference that identifies and estimates causal relationships by using instrumental variables—exogenous predictors that are correlated with the endogenous explanatory variable but uncorrelated with the error term—to address endogeneity while satisfying exclusion and relevance assumptions.

1.4K

Publications

179K

Citations

2.4K

Authors

1.1K

Institutions

Publications per year

2017–2026

419

Authors

2.4K

  1. JD
    Joshua D. Angrist

    Massachusetts Institute of Technology, United States

    14 publications · 6.4K citations

    13

    h-index

  2. MM
    Magne Mogstad

    University of Chicago, United States

    12 publications · 1.2K citations

    11

    h-index

  3. JC
    John Cawley

    Cornell University, United States

    9 publications · 1.8K citations

    9

    h-index

  4. JJ
    James J. Heckman

    University of Chicago, United States

    8 publications · 1.3K citations

    8

    h-index

  5. RB
    Richard Blundell

    University College London, United Kingdom

    8 publications · 1.9K citations

    8

    h-index

1–5 of 2.4K

Venues

  1. SSRN Electronic Journal

    Repository · 193 publications · 9.1K citations

    44

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 60 publications · 3K citations

    26

    h-index

  3. The Journal of Human Resources

    JHR · 24 publications · 3.5K citations

    23

    h-index

  4. National Bureau of Economic Research

    Repository · 34 publications · 1.8K citations

    20

    h-index

  5. American Economic Review

    18 publications · 10.7K citations

    18

    h-index

1–5