Regime Shift Modeling

Regime Shift Modeling is a statistical framework that identifies and characterizes abrupt changes in the underlying structure of a time series process, distinguishing itself from other structural break methods by explicitly modeling the transitions between distinct regimes as endogenous, state-dependent shifts governed by threshold, Markov, or latent variable mechanisms.

435

Publications

40.4K

Citations

1.1K

Authors

667

Institutions

Publications per year

2017–2026

98

Variants

Regime-switching Modeling

Authors

1.1K

  1. ÉG
    Éric Ghysels

    University of North Carolina at Chapel Hill, United States

    7 publications · 279 citations

    7

    h-index

  2. CK
    Chang‐Jin Kim

    University of California, Los Angeles, United States

    6 publications · 838 citations

    6

    h-index

  3. MS
    Martín Solà

    Birkbeck, University of London, United Kingdom

    5 publications · 330 citations

    5

    h-index

  4. SR
    Stephen R. Carpenter

    University of Wisconsin–Madison, United States

    5 publications · 1K citations

    5

    h-index

  5. WA
    William A. Brock

    University of Wisconsin–Madison, United States

    5 publications · 1K citations

    5

    h-index

1–5 of 1.1K

Venues

  1. SSRN Electronic Journal

    Repository · 34 publications · 960 citations

    21

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 19 publications · 332 citations

    11

    h-index

  3. Journal of Econometrics

    10 publications · 5.3K citations

    10

    h-index

  4. Journal of Business and Economic Statistics

    JBES · 10 publications · 1.4K citations

    10

    h-index

  5. Journal of Applied Econometrics

    10 publications · 859 citations

    10

    h-index

1–5