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Života-Endrūsa strukturālās lūzuma vienības saknes tests×Paplašinātais Dikija-Fullera (ADF) vienības saknes tests×
NozareEkonometrijaEkonometrija
SaimeRegression modelRegression model
Izcelsmes gads19921979–1984
AutorsEric Zivot and Donald W. K. AndrewsSaid & Dickey (1984); building on Dickey & Fuller (1979)
TipsUnit root test with endogenous structural breakHypothesis test (unit root)
PirmavotsZivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251–270. 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 ↗
Citi nosaukumiZivot-Andrews test, ZA unit root test, endogenous structural break unit root test, ZA breakpoint testADF test, ADF unit root test, Dickey-Fuller test (augmented), Said-Dickey test
Saistītās65
KopsavilkumsThe Zivot-Andrews test is an endogenous structural break unit root test that determines the break point from the data rather than imposing it externally. It tests for a unit root against the alternative of stationarity around a single structural break — in the mean, the trend, or both — choosing the break date that provides the strongest evidence against the null.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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ScholarGateSalīdzināt metodes: Structural break Zivot-Andrews test · Augmented Dickey-Fuller unit root test. Izgūts 2026-06-18 no https://scholargate.app/lv/compare