Selection On Observables

Selection On Observables is a methodological assumption in causal inference that asserts selection into treatment or sample membership depends only on observed covariates, thereby allowing for consistent estimation of causal effects through conditioning on these observed variables.

24

Publications

9.7K

Citations

353

Authors

62

Institutions

Publications per year

2017–2026

4

Variants

Selection On Observables Assumption

Authors

353

  1. EO
    Emily Oster

    University of Chicago, United States

    3 publications · 5.1K citations

    3

    h-index

  2. JG
    Joseph G. Altonji

    National Bureau of Economic Research, United States

    3 publications · 3.9K citations

    3

    h-index

  3. TE
    Todd E. Elder

    Michigan State University, United States

    3 publications · 3.9K citations

    3

    h-index

  4. CT
    Christopher Taber

    University of Wisconsin–Madison, United States

    3 publications · 3.9K citations

    3

    h-index

  5. TK
    T. Kobayashi

    The University of Tokyo, Japan

    1 publications · 21 citations

    1

    h-index

1–5 of 353

Venues

  1. National Bureau of Economic Research

    Repository · 3 publications · 174 citations

    3

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 2 publications · 61 citations

    2

    h-index

  3. Econometrica

    1 publications · 46 citations

    1

    h-index

  4. Journal of Political Economy

    JPE · 1 publications · 3.7K citations

    1

    h-index

  5. Scholarworks (University of Massachusetts Amherst)

    Repository · 1 publications · 11 citations

    1

    h-index

1–5