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Strukturellt brott ADF-enhetsrotstest×Granger-kausalitet vid strukturbrott×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår1989-19921995-2010
UpphovspersonPerron (1989); Zivot and Andrews (1992)Granger (1969) causality framework extended by Toda & Yamamoto (1995) and Balcilar et al. (2010)
TypUnit root test with structural breakHypothesis test / time-series model
UrsprungskällaPerron, P. (1989). The great crash, the oil price shock, and the unit root hypothesis. Econometrica, 57(6), 1361-1401. DOI ↗Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. DOI ↗
AliasADF with structural break, Perron unit root test, break-augmented ADF, unit root test with structural changebreak-robust Granger causality, Granger causality under regime change, time-varying Granger causality, structural change Granger test
Närliggande63
SammanfattningThe structural break ADF unit root test extends the standard Augmented Dickey-Fuller test to allow for one or more discrete shifts in the level or trend of a time series. Because ignoring a structural break inflates the apparent persistence of a series, this test prevents false acceptance of the unit root null when the series is actually stationary around a shifting mean or trend.Structural break Granger causality extends the classic Granger causality framework to accommodate regime shifts and parameter instability in time series. By detecting break points and testing causality within sub-samples or via rolling/recursive windows, it reveals whether a predictive relationship between variables switches on, switches off, or changes direction over time.
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ScholarGateJämför metoder: Structural Break ADF Unit Root Test · Structural Break Granger Causality. Hämtad 2026-06-17 från https://scholargate.app/sv/compare