Structural Break Modeling
Structural Break Modeling is a statistical methodology that identifies and adjusts for abrupt changes in the underlying structure of time series data, distinguishing itself by explicitly accounting for non-stationarities caused by exogenous shocks or regime shifts in the context of forecasting models.
934
Publications
63.9K
Citations
1.6K
Authors
926
Institutions
Publications per year
2017–2026
257
Parents
934
Detrending, stylized facts and the business cycle
Andrew Harvey, Albert Jaeger · Journal of Applied Econometrics · 1993 · 1.2K citations
1–5 of 934
1.6K
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926

National Bureau of Economic Research
Cambridge, United States
14 h-index
24 publications
2.5K citations
University of Oxford
Oxford, United Kingdom
14 h-index
25 publications
1.6K citations
University of California San Diego
San Diego, United States
12 h-index
13 publications
2.6K citations
Boston University
Boston, United States
11 h-index
13 publications
1.2K citations
Centre for Economic Policy Research
London, United Kingdom
11 h-index
11 publications
479 citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
11 h-index
11 publications
581 citations

Deakin University
Burwood, Australia
11 h-index
12 publications
1.2K citations

University of Wollongong
Wollongong, Australia
10 h-index
17 publications
593 citations
1–8 of 926
Repository · 76 publications · 3K citations
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40 publications · 1.6K citations
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28 publications · 2K citations
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Repository · 43 publications · 1.7K citations
20
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17 publications · 3.3K citations
16
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