Random Coefficients Models

Random Coefficients Models is a statistical modeling framework within panel data methods and discrete choice theory that generalizes fixed effects and random effects models by treating individual-specific parameters as random draws from a common distribution, thereby allowing for heterogeneity in preferences or responses across decision-makers.

346

Publications

33.5K

Citations

676

Authors

413

Institutions

Publications per year

2017–2026

49

Variants

Random-coefficient ModelsRandom-coefficients Models

Authors

676

  1. JT
    Jeremy T. Fox

    University of Chicago, United States

    7 publications · 501 citations

    7

    h-index

  2. SH
    Stephane Hess

    University of Leeds, United Kingdom

    5 publications · 642 citations

    5

    h-index

  3. CH
    Chêng Hsiao

    University of Southern California, United States

    5 publications · 341 citations

    5

    h-index

  4. IH
    Ian H. Sloan

    UNSW Sydney, Australia

    4 publications · 528 citations

    4

    h-index

  5. CS
    Christian Soize

    Laboratoire Modélisation et Simulation Multi-Echelle, France

    4 publications · 377 citations

    4

    h-index

1–5 of 676

Venues

  1. RePEc: Research Papers in Economics

    Repository · 15 publications · 518 citations

    13

    h-index

  2. SSRN Electronic Journal

    Repository · 14 publications · 556 citations

    12

    h-index

  3. Journal of Econometrics

    11 publications · 507 citations

    11

    h-index

  4. 8

    h-index

  5. Econometrica

    7 publications · 3.6K citations

    7

    h-index

1–5