Nonparametric Panel Data Models

Nonparametric Panel Data Models is a class of econometric models that, unlike parametric counterparts, specifies the functional form of relationships between variables in panel data settings nonparametrically, allowing for greater flexibility in capturing heterogeneous and nonlinear effects across individuals and over time.

122

Publications

7.8K

Citations

211

Authors

177

Institutions

Publications per year

2017–2026

37

Authors

211

  1. JS
    Jianguo Sun

    University of Missouri, United States

    5 publications · 142 citations

    5

    h-index

  2. XZ
    Xingqiu Zhao

    Hong Kong Polytechnic University, Hong Kong SAR China

    5 publications · 88 citations

    5

    h-index

  3. YL
    Yoonseok Lee

    Syracuse University, United States

    4 publications · 68 citations

    4

    h-index

  4. LS
    Léopold Simar

    UCLouvain, Belgium

    3 publications · 1.1K citations

    3

    h-index

  5. LS
    Liangjun Su

    Singapore Management University, Singapore

    3 publications · 98 citations

    3

    h-index

1–5 of 211

Venues

  1. Journal of Econometrics

    13 publications · 1.7K citations

    13

    h-index

  2. SSRN Electronic Journal

    Repository · 12 publications · 233 citations

    10

    h-index

  3. Economics Letters

    8 publications · 349 citations

    8

    h-index

  4. Energy Economics

    7 publications · 799 citations

    7

    h-index

  5. Econometric Reviews

    5 publications · 137 citations

    5

    h-index

1–5