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Robustný Zivotov-Andrewsov test×Test Lumsdaine-Papell na jednotkový koreň s dvoma štrukturálnymi zlomami×
OdborEkonometriaEkonometria
RodinaRegression modelHypothesis test
Rok vzniku1992 (original); 2000s (robust variants)1997
TvorcaZivot & Andrews (1992); robust extensions by subsequent literatureRobin Lumsdaine & David Papell
TypUnit root test with endogenous structural breakSequential two-break unit-root test
Pôvodný 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 ↗Lumsdaine, R. L., & Papell, D. H. (1997). Multiple trend breaks and the unit-root hypothesis. Review of Economics and Statistics, 79(2), 212–218. DOI ↗
Ďalšie názvyrobust ZA test, ZA test with robust inference, Zivot-Andrews test with heteroscedasticity-robust critical values, structural break unit root testLP Test, Two-Break Unit-Root Test, Double Structural Break Unit-Root Test, Lumsdaine-Papell İki Kırılmalı Birim Kök Testi
Príbuzné53
ZhrnutieThe 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 Lumsdaine-Papell test, introduced by Robin Lumsdaine and David Papell in 1997, extends the Zivot-Andrews single-break unit-root test to allow for two simultaneous structural breaks in the intercept and/or linear trend of a time series. It is widely used in macroeconomics and finance when data are suspected to have experienced two major regime shifts — such as policy changes, financial crises, or wars — and the researcher needs to determine whether the series is nonetheless integrated of order one.
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ScholarGatePorovnať metódy: Robust Zivot-Andrews test · Lumsdaine-Papell Test. Získané 2026-06-20 z https://scholargate.app/sk/compare