Vector Autoregressive Models

Vector Autoregressive Models is a multivariate time series model that captures the linear interdependencies among multiple time series by regressing each variable on its own and other variables' lagged values within a unified autoregressive framework.

2.4K

Publications

197.5K

Citations

4.3K

Authors

1.8K

Institutions

Publications per year

2017–2026

836

Variants

Var Models

Authors

4.3K

  1. HL
    Helmut Lütkepohl

    Humboldt-Universität zu Berlin, Germany

    46 publications · 7.9K citations

    26

    h-index

  2. RG
    Rangan Gupta

    University of Pretoria, South Africa

    37 publications · 1.4K citations

    23

    h-index

  3. PS
    Pentti Saikkonen

    University of Helsinki, Finland

    25 publications · 1.7K citations

    21

    h-index

  4. SJ
    Søren Johansen

    University of Copenhagen, Denmark

    24 publications · 14.6K citations

    19

    h-index

  5. LK
    Lutz Kilian

    University of Michigan, United States

    14 publications · 2K citations

    14

    h-index

1–5 of 4.3K

Venues

  1. SSRN Electronic Journal

    Repository · 161 publications · 6K citations

    38

    h-index

  2. Journal of Business and Economic Statistics

    JBES · 53 publications · 9.1K citations

    32

    h-index

  3. Applied Economics

    70 publications · 2.3K citations

    26

    h-index

  4. Journal of Applied Econometrics

    34 publications · 4.9K citations

    25

    h-index

  5. Journal of Forecasting

    38 publications · 1.8K citations

    24

    h-index

1–5