Threshold Autoregression

Threshold Autoregression is a nonlinear time series model that extends the autoregressive framework by allowing regime switches in the dynamics of the process based on the value of a threshold variable, thereby capturing asymmetric behavior across different states of the system.

190

Publications

18.3K

Citations

292

Authors

205

Institutions

Publications per year

2017–2026

26

Variants

Tar

Authors

292

  1. HT
    Howell Tong

    London School of Economics and Political Science, United Kingdom

    9 publications · 536 citations

    9

    h-index

  2. KC
    Kung‐Sik Chan

    University of Iowa, United States

    9 publications · 2.5K citations

    9

    h-index

  3. BE
    Bruce E. Hansen

    University of Wisconsin–Madison, United States

    8 publications · 4K citations

    8

    h-index

  4. CW
    Cathy W. S. Chen

    Feng Chia University, Taiwan

    6 publications · 292 citations

    6

    h-index

  5. DW
    Dehui Wang

    Jilin University, China

    6 publications · 199 citations

    6

    h-index

1–5 of 292

Venues

  1. Journal of Time Series Analysis

    14 publications · 1.2K citations

    13

    h-index

  2. SSRN Electronic Journal

    Repository · 10 publications · 177 citations

    10

    h-index

  3. Journal of Econometrics

    9 publications · 510 citations

    9

    h-index

  4. Biometrika

    8 publications · 2K citations

    8

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 7 publications · 157 citations

    7

    h-index

1–5