Structural Break Analysis

Structural Break Analysis is a statistical methodology within time series econometrics that identifies and accounts for abrupt changes in the underlying data-generating process of a revenue series, distinguishing it from conventional forecasting techniques by explicitly modeling shifts in structural parameters over time.

1.5K

Publications

109.5K

Citations

2.3K

Authors

1.3K

Institutions

Publications per year

2017–2026

397

Authors

2.3K

  1. PP
    Pierre Perrón

    Boston University, United States

    23 publications · 11.4K citations

    19

    h-index

  2. JL
    Junsoo Lee

    University of Alabama, United States

    17 publications · 5.4K citations

    16

    h-index

  3. RS
    Russell Smyth

    Monash University, Australia

    17 publications · 1.4K citations

    15

    h-index

  4. AT
    Allan Timmermann

    University of California San Diego, United States

    15 publications · 1.9K citations

    15

    h-index

  5. PK
    Paresh Kumar Narayan

    Deakin University, Australia

    19 publications · 2.3K citations

    15

    h-index

1–5 of 2.3K

Venues

  1. SSRN Electronic Journal

    Repository · 119 publications · 12.6K citations

    37

    h-index

  2. Journal of Econometrics

    44 publications · 8.2K citations

    29

    h-index

  3. Applied Economics

    72 publications · 2.7K citations

    29

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 56 publications · 2.8K citations

    22

    h-index

  5. Energy Economics

    27 publications · 3.3K citations

    22

    h-index

1–5