Break Point Estimation

Break Point Estimation is a methodological framework within structural break analysis that identifies the specific points in a time series or regression model where a statistically significant change in structural parameters occurs, distinguishing it from other detection techniques by focusing on the precise localization of such changes.

262

Publications

25.7K

Citations

530

Authors

356

Institutions

Publications per year

2017–2026

52

Authors

530

  1. PP
    Pierre Perrón

    Boston University, United States

    8 publications · 6.9K citations

    8

    h-index

  2. SJ
    Stephen J. Leybourne

    University of Nottingham, United Kingdom

    6 publications · 252 citations

    6

    h-index

  3. JB
    Jushan Bai

    Columbia University, United States

    5 publications · 7.5K citations

    5

    h-index

  4. VM
    Vito M. R. Muggeo

    University of Palermo, Italy

    5 publications · 4.8K citations

    5

    h-index

  5. TC
    Thomas C. M. Lee

    Colorado State University, United States

    5 publications · 583 citations

    5

    h-index

1–5 of 530

Venues

  1. Journal of Econometrics

    30 publications · 2.6K citations

    21

    h-index

  2. SSRN Electronic Journal

    Repository · 13 publications · 374 citations

    13

    h-index

  3. Journal of Time Series Analysis

    9 publications · 579 citations

    9

    h-index

  4. Econometric Theory

    7 publications · 1.1K citations

    7

    h-index

  5. 7

    h-index

1–5