Bayesian Panel Data Models

Bayesian Panel Data Models is a statistical modeling framework that belongs to the class of panel data models and is distinguished by its incorporation of Bayesian inference methods to estimate parameters through the specification of prior distributions and the use of posterior updating in the context of longitudinal or clustered data structures.

116

Publications

7.7K

Citations

226

Authors

164

Institutions

Publications per year

2017–2026

25

Authors

226

  1. EM
    Enrique Moral‐Benito

    Bank of Spain, Spain

    6 publications · 521 citations

    6

    h-index

  2. SC
    Siddhartha Chib

    Washington University in St. Louis, United States

    5 publications · 1.1K citations

    5

    h-index

  3. MS
    Mihaela Simionescu

    Romanian Academy, Romania

    5 publications · 159 citations

    5

    h-index

  4. JP
    James P. LeSage

    Texas State University, United States

    4 publications · 272 citations

    4

    h-index

  5. MF
    Mark F. J. Steel

    University of Warwick, United Kingdom

    3 publications · 301 citations

    3

    h-index

1–5 of 226

Venues

  1. SSRN Electronic Journal

    Repository · 13 publications · 576 citations

    12

    h-index

  2. Journal of Econometrics

    9 publications · 513 citations

    9

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 5 publications · 212 citations

    5

    h-index

  4. Applied Economics

    4 publications · 164 citations

    4

    h-index

  5. Journal of Applied Econometrics

    4 publications · 92 citations

    4

    h-index

1–5