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Robusni test jedinice koren (Phillips-Perron, PP)×Prošireni test Diki-Fuler (ADF) na jedinici korena×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1988 (base); 2000s–2010s (robust extensions)1979–1984
TvoracPhillips & Perron (1988); robustification by Cavaliere & Taylor (2008) and related authorsSaid & Dickey (1984); building on Dickey & Fuller (1979)
TipUnit root / stationarity testHypothesis test (unit root)
Temeljni izvorPhillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. 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 ↗
Drugi nazivirobust Phillips-Perron test, heteroskedasticity-robust PP test, nonparametric robust unit root test, robust PPADF test, ADF unit root test, Dickey-Fuller test (augmented), Said-Dickey test
Srodne65
SažetakThe 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 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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  1. v1
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  3. PUBLISHED

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ScholarGateUporedite metode: Robust PP Unit Root Test · Augmented Dickey-Fuller unit root test. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare