Bayesian Spatial Econometrics

Bayesian Spatial Econometrics is a formal framework within spatial econometrics that integrates Bayesian inference methods to estimate and interpret spatial dependence and heterogeneity in economic data, distinguishing itself through the incorporation of prior information and probabilistic reasoning in spatial model specification and posterior analysis.

134

Publications

9.5K

Citations

267

Authors

194

Institutions

Publications per year

2017–2026

33

Authors

267

  1. JP
    James P. LeSage

    Texas State University, United States

    16 publications · 1.5K citations

    15

    h-index

  2. JL
    Julie Le Gallo

    Université de Franche-Comté, France

    4 publications · 205 citations

    4

    h-index

  3. OP
    Olivier Parent

    University of Cincinnati, United States

    4 publications · 392 citations

    4

    h-index

  4. TK
    Thomas Kneib

    University of Göttingen, Germany

    4 publications · 210 citations

    4

    h-index

  5. GH
    Garth Holloway

    University of Reading, United Kingdom

    4 publications · 316 citations

    4

    h-index

1–5 of 267

Venues

  1. Papers of the Regional Science Association

    7 publications · 166 citations

    7

    h-index

  2. Spatial Economic Analysis

    SEA · 6 publications · 2.4K citations

    6

    h-index

  3. SSRN Electronic Journal

    Repository · 5 publications · 205 citations

    5

    h-index

  4. Regional Science and Urban Economics

    5 publications · 150 citations

    5

    h-index

  5. Geographical Analysis

    5 publications · 658 citations

    5

    h-index

1–5