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Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Robustní test Zivota a Andrewse×Zivotův-Andrewsův test jednotkových kořenů s jedním zlomem struktury×
OborEkonometrieEkonometrie
RodinaRegression modelHypothesis test
Rok vzniku1992 (original); 2000s (robust variants)1992
TvůrceZivot & Andrews (1992); robust extensions by subsequent literatureEric Zivot & Donald Andrews
TypUnit root test with endogenous structural breakSequential unit-root test with endogenous break-point selection
Původní zdrojZivot, 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 ↗Zivot, 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 ↗
Další názvyrobust ZA test, ZA test with robust inference, Zivot-Andrews test with heteroscedasticity-robust critical values, structural break unit root testZA Test, Zivot-Andrews Break Test, Endogenous Break Unit-Root Test, Zivot-Andrews Birim Kök Testi
Příbuzné53
ShrnutíThe Robust Zivot-Andrews test extends the classic Zivot-Andrews (1992) unit root test to provide reliable inference when the error term may be heteroscedastic or non-normal. It tests whether a time series has a unit root while endogenously identifying a single structural break in the level, trend, or both, without requiring the researcher to pre-specify the break date.The Zivot-Andrews (ZA) test, introduced by Eric Zivot and Donald Andrews in 1992, is a sequential unit-root test that allows for a single structural break at an unknown date. It extends the augmented Dickey-Fuller framework by endogenously selecting the break point that provides the strongest evidence against the unit-root null hypothesis, making it particularly useful for macroeconomic and financial time series that may have been disrupted by events such as policy changes, financial crises, or supply shocks.
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ScholarGatePorovnat metody: Robust Zivot-Andrews test · Zivot-Andrews Test. Získáno 2026-06-19 z https://scholargate.app/cs/compare