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KPSS-testen for strukturelle brud×Augmented Dickey-Fuller (ADF) Enhedsrodstest×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår2002-20051979–1984
OphavspersonKurozumi (2002); Carrion-i-Silvestre, Del Barrio & Lopez-Bazo (2005)Said & Dickey (1984); building on Dickey & Fuller (1979)
TypeStationarity test with structural breaksHypothesis test (unit root)
Oprindelig kildeCarrion-i-Silvestre, J. L., Del Barrio, T., & Lopez-Bazo, E. (2005). Breaking the panels: An application to the GDP per capita. Econometrics Journal, 8(2), 159-175. DOI ↗Said, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599–607. DOI ↗
AliasserKPSS test with breaks, structural break stationarity test, KPSS break test, SB-KPSSADF test, ADF unit root test, Dickey-Fuller test (augmented), Said-Dickey test
Relaterede65
ResuméThe structural break KPSS test extends the standard Kwiatkowski-Phillips-Schmidt-Shin (KPSS) stationarity test to allow for one or more known or unknown structural breaks in the level or trend of a time series. Under the null hypothesis the series is stationary around a broken deterministic component, enabling researchers to distinguish genuine unit-root behaviour from apparent non-stationarity caused by regime shifts.The Augmented Dickey-Fuller test is the standard procedure for determining whether a univariate time series contains a unit root — that is, whether the series is non-stationary. It extends the original Dickey-Fuller test by including lagged difference terms that absorb serial correlation in the residuals, making the test valid for a wide range of time-series processes encountered in economics and finance.
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ScholarGateSammenlign metoder: Structural Break KPSS Test · Augmented Dickey-Fuller unit root test. Hentet 2026-06-18 fra https://scholargate.app/da/compare