Multilevel Panel Models

Multilevel Panel Models is a statistical modeling framework that belongs to the class of panel data models and is distinguished by its incorporation of hierarchical structures, allowing for the simultaneous analysis of within-unit dynamics over time and across multiple levels of clustering such as individuals nested within groups or regions.

329

Publications

34.4K

Citations

980

Authors

456

Institutions

Publications per year

2017–2026

143

Variants

Hierarchical Panel Models

Authors

980

  1. HG
    Harvey Goldstein

    University of Bristol, United Kingdom

    4 publications · 459 citations

    4

    h-index

  2. AG
    Andrew Gelman

    Columbia University, United States

    4 publications · 359 citations

    4

    h-index

  3. SB
    Susan Branje

    Utrecht University, Netherlands

    4 publications · 191 citations

    4

    h-index

  4. WM
    Wim Meeus

    Utrecht University, Netherlands

    4 publications · 191 citations

    4

    h-index

  5. KV
    Kristopher Velasco

    The University of Texas at Austin, United States

    3 publications · 158 citations

    3

    h-index

1–5 of 980

Venues

  1. Journal of Econometrics

    11 publications · 2.6K citations

    11

    h-index

  2. PLoS ONE

    7 publications · 268 citations

    7

    h-index

  3. Journal of Personality and Social Psychology

    6 publications · 869 citations

    6

    h-index

  4. Developmental Psychology

    4 publications · 236 citations

    4

    h-index

  5. SSRN Electronic Journal

    Repository · 5 publications · 233 citations

    4

    h-index

1–5