Concepedia

Neyman-rubin Model

The Neyman-Rubin Model is a causal inference framework that formalizes the estimation of treatment effects through potential outcomes, distinguishing itself by its reliance on randomized assignment and the explicit definition of counterfactuals to establish causal relationships.

39

Publications

4.2K

Citations

60

Authors

40

Institutions

Publications per year

2017–2026

15

Parents

Publications

39

[On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies

Donald B. Rubin · Statistical Science · 1990 · 665 citations · Full text

, , +17

Logistic or linear? Estimating causal effects of experimental treatments on binary outcomes using regression analysis.

Robin Gomila · Journal of Experimental Psychology General · 2020 · 530 citations

, , +15

Double/Debiased/Neyman Machine Learning of Treatment Effects

Victor Chernozhukov, Denis Chetverikov, Mert Demirer et al. · American Economic Review · 2017 · 364 citations · Full text

, , +14

Econometric Causality

James J. Heckman · International Statistical Review · 2008 · 254 citations

, , +13

Practical Implications of Modes of Statistical Inference for Causal Effects and the Critical Role of the Assignment Mechanism

Cambridge University Press eBooks · 2006 · 212 citations

, , +11

1–5 of 39

Authors

60

  1. JS
    Jasjeet S. Sekhon

    University of California, Berkeley, United States

    4 publications · 216 citations

    4

    h-index

  2. JA
    Joel A. Middleton

    New York University, United States

    3 publications · 99 citations

    3

    h-index

  3. JJ
    James J. Heckman

    University of Chicago, United States

    3 publications · 317 citations

    3

    h-index

  4. RG
    Robin Gomila

    Princeton University, United States

    2 publications · 592 citations

    2

    h-index

  5. PM
    Peter M. Aronow

    Yale University, United States

    2 publications · 87 citations

    2

    h-index

1–5 of 60

Institutions

40

  1. University of California, Berkeley

    Berkeley, United States

    6 h-index

    11 publications

    859 citations

  2. Yale University

    New Haven, United States

    5 h-index

    5 publications

    248 citations

  3. Harvard University Press

    Cambridge, United States

    3 h-index

    4 publications

    216 citations

  4. Stanford University

    Stanford, United States

    2 h-index

    2 publications

    277 citations

  5. Mathematica Policy Research

    Princeton, United States

    2 h-index

    5 publications

    174 citations

  6. Harvard University

    Cambridge, United States

    2 h-index

    3 publications

    239 citations

  7. Princeton University

    Princeton, United States

    2 h-index

    2 publications

    592 citations

  8. University of Chicago

    Chicago, United States

    2 h-index

    6 publications

    2.1K citations

1–8 of 40

Venues

  1. Statistical Science

    2 publications · 781 citations

    2

    h-index

  2. Journal of Educational Statistics

    2 publications · 63 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 31 citations

    2

    h-index

  4. International Statistical Review

    1 publications · 254 citations

    1

    h-index

  5. Political Analysis

    1 publications · 19 citations

    1

    h-index

1–5