Instrumental Variable Analysis

Instrumental Variable Analysis is a statistical method that belongs to the class of causal inference techniques, distinguished by its use of an instrumental variable—a measured factor that influences the exposure of interest but affects the outcome only through that exposure—to estimate causal effects while addressing unmeasured confounding.

2.8K

Publications

230.4K

Citations

6.7K

Authors

2.3K

Institutions

Publications per year

2017–2026

1.3K

Variants

Iv AnalysisIv Estimation

Authors

6.7K

  1. GD
    George Davey Smith

    University of Bristol, United Kingdom

    28 publications · 8.8K citations

    21

    h-index

  2. JD
    Joshua D. Angrist

    Massachusetts Institute of Technology, United States

    17 publications · 17.3K citations

    17

    h-index

  3. PJ
    Pornsit Jiraporn

    Pennsylvania State University, United States

    17 publications · 579 citations

    15

    h-index

  4. SB
    Stephen Burgess

    University of Cambridge, United Kingdom

    17 publications · 4.1K citations

    15

    h-index

  5. DS
    Dylan S. Small

    University of Pennsylvania, United States

    18 publications · 1.5K citations

    15

    h-index

1–5 of 6.7K

Venues

  1. SSRN Electronic Journal

    Repository · 230 publications · 10.2K citations

    48

    h-index

  2. Health Economics

    41 publications · 3.5K citations

    26

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 63 publications · 2K citations

    25

    h-index

  4. Applied Economics

    35 publications · 1.3K citations

    22

    h-index

  5. PLoS ONE

    37 publications · 1.8K citations

    22

    h-index

1–5