Parallel Slopes Assumption

The Parallel Slopes Assumption is the fundamental requirement in ordinal regression models that the relationship between each pair of outcome categories is identical, implying that the effect of predictors is consistent across all cumulative logits, thereby constraining the regression slopes to be parallel across thresholds.

27

Publications

3K

Citations

41

Authors

33

Institutions

Publications per year

2017–2026

15

Authors

41

  1. AS
    Andreas Schmid

    University Medical Center Freiburg, Germany

    3 publications · 79 citations

    3

    h-index

  2. BC
    Brantly Callaway

    Vanderbilt University, United States

    3 publications · 559 citations

    3

    h-index

  3. US
    Udo Schneider

    Medizinische Hochschule Hannover, Germany

    3 publications · 79 citations

    3

    h-index

  4. AG
    Andrew Goodman-Bacon

    Federal Reserve Bank of Minneapolis, United States

    3 publications · 559 citations

    3

    h-index

  5. CP
    Christian Pfarr

    University of Bayreuth, Germany

    3 publications · 79 citations

    3

    h-index

1–5 of 41

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 273 citations

    5

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  2. Epidemiology

    2 publications · 107 citations

    2

    h-index

  3. Journal of Choice Modelling

    JOCM · 1 publications · 48 citations

    1

    h-index

  4. The Review of Economic Studies

    1 publications · 1.2K citations

    1

    h-index

  5. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 47 citations

    1

    h-index

1–5