Lagged Dependent Variable Models

Lagged Dependent Variable Models is a panel data econometric model that incorporates past values of the dependent variable as regressors to account for dynamic persistence, distinguishing it from static panel models by explicitly modeling temporal dependence in the outcome variable.

289

Publications

30.9K

Citations

643

Authors

380

Institutions

Publications per year

2017–2026

103

Variants

Dynamic Panel Data Models

Authors

643

  1. MH
    M. Hashem Pesaran

    University of Southern California, United States

    7 publications · 5.5K citations

    7

    h-index

  2. NB
    Nathaniel Beck

    University of California San Diego, United States

    5 publications · 2K citations

    5

    h-index

  3. JP
    J. Paul Elhorst

    University of Groningen, Netherlands

    4 publications · 264 citations

    4

    h-index

  4. AC
    Alexander Chudík

    Federal Reserve Bank of Dallas, United States

    4 publications · 2.5K citations

    4

    h-index

  5. GO
    Gerard O’Reilly

    Monash University, Australia

    3 publications · 219 citations

    3

    h-index

1–5 of 643

Venues

  1. SSRN Electronic Journal

    Repository · 13 publications · 637 citations

    13

    h-index

  2. The Review of Economics and Statistics

    10 publications · 1.4K citations

    10

    h-index

  3. Econometrica

    9 publications · 3.2K citations

    9

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 6 publications · 96 citations

    6

    h-index

  5. Journal of Applied Econometrics

    5 publications · 266 citations

    5

    h-index

1–5