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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Testi i Rrënjës Njësi Robust Phillips-Perron (PP)×Testi Zivot-Andrews për Ndërprerje Strukturore×
FushaEkonometriEkonometri
FamiljaRegression modelRegression model
Viti i origjinës1988 (base); 2000s–2010s (robust extensions)1992
KrijuesiPhillips & Perron (1988); robustification by Cavaliere & Taylor (2008) and related authorsEric Zivot and Donald W. K. Andrews
LlojiUnit root / stationarity testUnit root test with endogenous structural break
Burimi themeluesPhillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. 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 ↗
Emërtime të tjerarobust Phillips-Perron test, heteroskedasticity-robust PP test, nonparametric robust unit root test, robust PPZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test
Të lidhura66
PërmbledhjaThe Robust Phillips-Perron unit root test extends the classical PP test by applying corrections — such as heteroskedasticity-consistent covariance estimation or wild-bootstrap critical values — that maintain valid inference when the error variance of a time series is non-constant or exhibits unconditional heteroskedasticity, conditions under which the standard PP test is severely size-distorted.The Zivot-Andrews (ZA) test is a unit root test that endogenously identifies the most likely location of a single structural break in a time series. Unlike the standard ADF test, it does not require the researcher to pre-specify when the break occurred, making it robust to data-driven regime shifts such as policy changes, financial crises, or major economic events.
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ScholarGateKrahasoni metodat: Robust PP Unit Root Test · Zivot-Andrews Structural Break Test. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare