Structural Breaks

Structural Breaks is a statistical phenomenon in time series analysis denoting a sudden and significant change in the underlying data-generating process that violates the assumption of stationarity by introducing discontinuities in model parameters over time.

1.8K

Publications

131.1K

Citations

3.1K

Authors

1.5K

Institutions

Publications per year

2017–2026

542

Variants

Structural Shifts

Authors

3.1K

  1. PP
    Pierre Perrón

    Boston University, United States

    33 publications · 20.3K citations

    21

    h-index

  2. RS
    Russell Smyth

    Monash University, Australia

    26 publications · 1.7K citations

    19

    h-index

  3. JL
    Junsoo Lee

    University of Alabama, United States

    20 publications · 5.2K citations

    19

    h-index

  4. PK
    Paresh Kumar Narayan

    Deakin University, Australia

    26 publications · 2.5K citations

    19

    h-index

  5. MS
    Muhammad Shahbaz

    COMSATS University Islamabad, Pakistan

    19 publications · 1.3K citations

    16

    h-index

1–5 of 3.1K

Venues

  1. SSRN Electronic Journal

    Repository · 126 publications · 12.1K citations

    37

    h-index

  2. Journal of Econometrics

    54 publications · 9.4K citations

    34

    h-index

  3. Applied Economics

    73 publications · 3.1K citations

    29

    h-index

  4. Journal of Applied Econometrics

    28 publications · 4.7K citations

    23

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 28 publications · 3.4K citations

    23

    h-index

1–5