Random Effects Specification

Random Effects Specification is a statistical modeling approach that belongs to the class of mixed-effects models, distinguished by its incorporation of random variables to account for unobserved heterogeneity across observational units while assuming these random effects are drawn from a common distribution.

67

Publications

6.3K

Citations

140

Authors

108

Institutions

Publications per year

2017–2026

14

Authors

140

  1. CD
    Chad D. Meyerhoefer

    Lehigh University, United States

    4 publications · 161 citations

    4

    h-index

  2. SH
    Samuel H. Zuvekas

    Agency for Healthcare Research and Quality, United States

    3 publications · 89 citations

    3

    h-index

  3. AC
    Anna Cristina D'addio

    Organisation de Coopération et de Développement Economiques, France

    2 publications · 150 citations

    2

    h-index

  4. TE
    Tor Eriksson

    Aarhus University, Denmark

    2 publications · 150 citations

    2

    h-index

  5. PF
    Paul Frijters

    Queensland University of Technology, Australia

    2 publications · 150 citations

    2

    h-index

1–5 of 140

Venues

  1. SSRN Electronic Journal

    Repository · 4 publications · 94 citations

    4

    h-index

  2. 3

    h-index

  3. Health Economics

    3 publications · 91 citations

    3

    h-index

  4. Econstor (Econstor)

    Repository · 2 publications · 34 citations

    2

    h-index

  5. Journal of Marketing Research

    2 publications · 434 citations

    2

    h-index

1–5