Bayesian Cointegration Analysis

Bayesian Cointegration Analysis is a statistical methodology within time series econometrics that employs Bayesian inference to model and detect long-run equilibrium relationships among non-stationary variables, distinguishing itself from classical approaches by incorporating prior information and uncertainty quantification in the estimation of cointegrating vectors.

109

Publications

5.6K

Citations

164

Authors

118

Institutions

Publications per year

2017–2026

28

Authors

164

  1. MV
    Mattias Villani

    Stockholm University, Sweden

    7 publications · 441 citations

    7

    h-index

  2. HK
    Herman K. van Dijk

    Erasmus University Rotterdam, Netherlands

    6 publications · 424 citations

    6

    h-index

  3. GK
    Gary Koop

    University of Strathclyde, United Kingdom

    6 publications · 315 citations

    6

    h-index

  4. RW
    Rodney W. Strachan

    The University of Queensland, Australia

    5 publications · 297 citations

    5

    h-index

  5. FS
    Frank Smets

    European Central Bank, Germany

    4 publications · 787 citations

    4

    h-index

1–5 of 164

Venues

  1. SSRN Electronic Journal

    Repository · 10 publications · 513 citations

    10

    h-index

  2. Journal of Econometrics

    8 publications · 495 citations

    8

    h-index

  3. Journal of Applied Econometrics

    7 publications · 969 citations

    7

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 6 publications · 134 citations

    6

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 4 publications · 122 citations

    4

    h-index

1–5