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DF-GLS test: GLS-detrenditud Dickey-Fulleri ühikjuure test×ERS-i punktoptimaalne ühetüve test×
ValdkondÖkonomeetriaÖkonomeetria
PerekondHypothesis testHypothesis test
Tekkeaasta19961996
LoojaElliott, Rothenberg & StockElliott, Rothenberg & Stock
TüüpOne-sided t-test on GLS-detrended seriesOne-sided parametric unit-root test
AlgallikasElliott, G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64(4), 813–836. DOI ↗Elliott, G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64(4), 813–836. DOI ↗
RööpnimetusedElliott-Rothenberg-Stock test, ERS unit-root test, GLS-detrended Dickey-Fuller test, DF-GLS birim kök testiERS P-test, Point-Optimal Unit-Root Test, ERS PT statistic, ERS Nokta-Optimal Birim Kök Testi
Seotud33
KokkuvõteThe 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 Elliott-Rothenberg-Stock (ERS) Point-Optimal test, introduced in their landmark 1996 Econometrica paper, is a near-efficient parametric procedure for testing whether a univariate time series contains a unit root. By first applying GLS detrending at a carefully chosen local-to-unity value and then computing a likelihood-ratio-type statistic, it achieves power close to the Gaussian power envelope—making it one of the most powerful unit-root tests available to applied econometricians.
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ScholarGateVõrdle meetodeid: DF-GLS Test · ERS Point-Optimal Test. Loetud 2026-06-18 aadressilt https://scholargate.app/et/compare