Serial Correlation Testing

Serial Correlation Testing is a statistical method used within the framework of the Generalized Method of Moments to detect the presence of temporal dependence among error terms by examining whether past realizations of the error process contain information predictive of current ones.

397

Publications

81.6K

Citations

604

Authors

331

Institutions

Publications per year

2017–2026

37

Authors

604

  1. AH
    Andrew Harvey

    University of Cambridge, United Kingdom

    9 publications · 469 citations

    9

    h-index

  2. JD
    J. Durbin

    London School of Economics and Political Science, United Kingdom

    8 publications · 6.3K citations

    8

    h-index

  3. TJ
    Timothy J. Vogelsang

    Cornell University, United States

    8 publications · 656 citations

    8

    h-index

  4. LG
    L. G. Godfrey

    University of York, United Kingdom

    6 publications · 2.3K citations

    6

    h-index

  5. EJ
    E. J. Hannan

    Australian National University, Australia

    4 publications · 472 citations

    4

    h-index

1–5 of 604

Venues

  1. Biometrika

    31 publications · 8K citations

    23

    h-index

  2. Econometrica

    22 publications · 9K citations

    20

    h-index

  3. SSRN Electronic Journal

    Repository · 19 publications · 764 citations

    15

    h-index

  4. Journal of the American Statistical Association

    16 publications · 662 citations

    13

    h-index

  5. Journal of Econometrics

    13 publications · 1.1K citations

    13

    h-index

1–5