State Dependence Models

State Dependence Models is a statistical framework within repeated measures analysis for categorical outcomes that accounts for the dependence of an individual's current state on their previous states over time, distinguishing itself by explicitly modeling autoregressive dynamics in categorical responses while controlling for unobserved heterogeneity.

85

Publications

7.3K

Citations

158

Authors

120

Institutions

Publications per year

2017–2026

13

Authors

158

  1. JD
    Jean‐Pierre Dubé

    University of Chicago, United States

    4 publications · 488 citations

    4

    h-index

  2. PK
    Pradeep K. Chintagunta

    University of Chicago, United States

    4 publications · 585 citations

    4

    h-index

  3. PS
    P.B. Seetharaman

    Washington University in St. Louis, United States

    4 publications · 617 citations

    4

    h-index

  4. DH
    Dean Hyslop

    Motu Economic and Public Policy Research, New Zealand

    4 publications · 517 citations

    4

    h-index

  5. PE
    Peter E. Rossi

    University of Chicago, United States

    4 publications · 488 citations

    4

    h-index

1–5 of 158

Venues

  1. SSRN Electronic Journal

    Repository · 15 publications · 462 citations

    12

    h-index

  2. Journal of Applied Econometrics

    4 publications · 885 citations

    4

    h-index

  3. Journal of Marketing Research

    3 publications · 354 citations

    3

    h-index

  4. Psychological Bulletin

    3 publications · 1.8K citations

    3

    h-index

  5. Econstor (Econstor)

    Repository · 3 publications · 81 citations

    3

    h-index

1–5