Bayesian Economic Modeling

Bayesian Economic Modeling is a type of economic modeling that incorporates Bayesian statistical methods to update prior beliefs with observed data, thereby quantifying uncertainty and informing decision-making within model-based economic evaluations.

571

Publications

47.3K

Citations

914

Authors

509

Institutions

Publications per year

2017–2026

92

Authors

914

  1. AZ
    Arnold Zellner

    University of Chicago, United States

    14 publications · 4.5K citations

    14

    h-index

  2. GK
    Gary Koop

    University of Strathclyde, United Kingdom

    13 publications · 751 citations

    13

    h-index

  3. MF
    Mark F. J. Steel

    University of Warwick, United Kingdom

    14 publications · 1.8K citations

    13

    h-index

  4. JF
    Juan Francisco Rubio-Ramı́rez

    Federal Reserve Bank of Atlanta, United States

    11 publications · 1.5K citations

    10

    h-index

  5. JG
    John Geweke

    University of Technology Sydney, Australia

    10 publications · 3.5K citations

    10

    h-index

1–5 of 914

Venues

  1. SSRN Electronic Journal

    Repository · 54 publications · 2.5K citations

    25

    h-index

  2. Journal of Business and Economic Statistics

    JBES · 20 publications · 2.1K citations

    15

    h-index

  3. Journal of Applied Econometrics

    18 publications · 3.3K citations

    15

    h-index

  4. Journal of Econometrics

    17 publications · 1.2K citations

    14

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 20 publications · 1.2K citations

    13

    h-index

1–5