Estimating and Testing Linear Models with Multiple Structural Changes
Open accessAbstract
This paper develops the statistical theory for testing and estimating multiple change points in regression models. The rate of convergence and limiting distribution for the estimated parameters are obtained. Several test statistics are proposed to determine the existence as well as the number of change points. A partial structural change model is considered. The authors study both fixed and shrinking magnitudes of shifts. In addition, the models allow for serially correlated disturbances (mixingales). An estimation strategy for which the location of the breaks need not be simultaneously determined is discussed. Instead, the authors' method successively estimates each break point.
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The increase in distance between US and UK understandings of Empire was confirmed with a structural break test (Bai and Perron 1998).
“We confirmed this with a structural break test (Bai and Perron 1998).”
From Embedding Regression: Models for Context-Specific Description and Inference (2023) · cites this paper as Bai and Perron 1998
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- Authors
- Bai, J., & Perron, P.
- ORCID
- Bai, Jushan
- Venue
- Econometrica
- Publisher
- JSTOR
- Published
- 1998-01
- Volume
- 66
- Issue
- 1
- Pages
- 47
- ISSN
- 0012-9682 (ISSN-L)
- OpenAlex
- W1491711721
- Cited by
- 6,112
- References
- 0
- Citations by year
- 2026: 399 · 2025: 300 · 2024: 253 · 2023: 286 · 2022: 305 · 2021: 358 · 2020: 313 · 2019: 285 · 2018: 301 · 2017: 295 · 2016: 304 · 2015: 306 · 2014: 300 · 2013: 249 · 2012: 247
- FWCI
- 32.84
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc
- Locations
- Econometrica (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Papyrus : Institutional Repository (Université de Montréal) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Advanced Statistical Process Monitoring
- Keywords
- multiple structural breaks, change point estimation, linear regression, convergence rate, asymptotic distribution
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