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DF-GLS Test: GLS-detrendad Dickey-Fuller enhetstest×Phillips-Perron (PP) enhetsrotstest×
ÄmnesområdeEkonometriEkonometri
FamiljHypothesis testRegression model
Ursprungsår19961988
UpphovspersonElliott, Rothenberg & StockPeter C. B. Phillips & Pierre Perron
TypOne-sided t-test on GLS-detrended seriesUnit-root test for stationarity
UrsprungskällaElliott, G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64(4), 813–836. DOI ↗Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗
AliasElliott-Rothenberg-Stock test, ERS unit-root test, GLS-detrended Dickey-Fuller test, DF-GLS birim kök testiPP test, Phillips-Perron unit root test, Phillips-Perron birim kök testi
Närliggande34
SammanfattningThe DF-GLS test, introduced by Elliott, Rothenberg, and Stock (1996), is a modified augmented Dickey-Fuller procedure that applies generalized least squares (GLS) detrending before the standard unit-root regression. By removing deterministic components under a local alternative rather than the null hypothesis, the test achieves near-optimal power for detecting stationarity in time series, making it the preferred unit-root test in applied econometrics when a trend or intercept is present.The Phillips-Perron test, proposed by Peter Phillips and Pierre Perron in 1988, tests for a unit root in a time series, like the Augmented Dickey-Fuller test, but corrects for autocorrelation and heteroskedasticity in the errors non-parametrically rather than by adding lagged differences. It runs a simple Dickey-Fuller regression and then adjusts the test statistic using a long-run variance estimate, so the practitioner need not choose a lag length for the regression itself.
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ScholarGateJämför metoder: DF-GLS Test · Phillips-Perron Test. Hämtad 2026-06-19 från https://scholargate.app/sv/compare