Margin Effects

Margin Effects is a statistical phenomenon in contingency table analysis that refers to the influence of marginal distributions on the interpretation of association patterns between categorical variables, distinguishing it from joint distribution-based measures by emphasizing how row and column totals shape observed dependencies.

42

Publications

3.6K

Citations

98

Authors

73

Institutions

Publications per year

2017–2026

13

Variants

Marginal Effects

Authors

98

  1. RS
    Richard Sweeney

    Boston College, United States

    3 publications · 74 citations

    3

    h-index

  2. JE
    Joseph E. Aldy

    Resources For The Future, United States

    3 publications · 74 citations

    3

    h-index

  3. TG
    Todd Gerarden

    Cornell University, United States

    3 publications · 74 citations

    3

    h-index

  4. RN
    Ramana Nanda

    Harvard University, United States

    2 publications · 90 citations

    2

    h-index

  5. MT
    Michèle Tertilt

    University of Mannheim, Germany

    2 publications · 155 citations

    2

    h-index

1–5 of 98

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 122 citations

    5

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 2 publications · 38 citations

    2

    h-index

  3. Journal of money credit and banking

    2 publications · 39 citations

    2

    h-index

  4. The Review of Economics and Statistics

    2 publications · 38 citations

    2

    h-index

  5. National Bureau of Economic Research

    Repository · 2 publications · 34 citations

    2

    h-index

1–5