Vector Autoregression

Vector Autoregression is a multivariate time series model that extends the univariate autoregressive framework by capturing the linear interdependencies among multiple time series through a system of equations in which each variable is regressed on its own lagged values and the lagged values of all other variables in the system.

2.1K

Publications

179.9K

Citations

3.6K

Authors

1.7K

Institutions

Publications per year

2017–2026

716

Authors

3.6K

  1. DA
    David A. Bessler

    Texas A&M University, United States

    16 publications · 691 citations

    14

    h-index

  2. HL
    Helmut Lütkepohl

    Humboldt-Universität zu Berlin, Germany

    15 publications · 879 citations

    13

    h-index

  3. RG
    Rangan Gupta

    University of Pretoria, South Africa

    12 publications · 527 citations

    12

    h-index

  4. MM
    Massimiliano Marcellino

    Bocconi University, Italy

    12 publications · 573 citations

    11

    h-index

  5. MH
    M. Hashem Pesaran

    University of Southern California, United States

    11 publications · 1.1K citations

    11

    h-index

1–5 of 3.6K

Venues

  1. SSRN Electronic Journal

    Repository · 196 publications · 9.2K citations

    39

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 74 publications · 3.5K citations

    29

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 45 publications · 4.8K citations

    28

    h-index

  4. Applied Economics

    58 publications · 2.7K citations

    27

    h-index

  5. Journal of Econometrics

    31 publications · 7.8K citations

    23

    h-index

1–5