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ERS тест оптималан по тачки×DF-GLS тест: Дики-Фулеров тест корена са ДФ-ГЛС де-трендingом×
OblastEkonometrijaEkonometrija
PorodicaHypothesis testHypothesis test
Godina nastanka19961996
TvoracElliott, Rothenberg & StockElliott, Rothenberg & Stock
TipOne-sided parametric unit-root testOne-sided t-test on GLS-detrended series
Temeljni izvorElliott, 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 ↗
Drugi naziviERS P-test, Point-Optimal Unit-Root Test, ERS PT statistic, ERS Nokta-Optimal Birim Kök TestiElliott-Rothenberg-Stock test, ERS unit-root test, GLS-detrended Dickey-Fuller test, DF-GLS birim kök testi
Srodne33
SažetakThe 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.The 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.
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ScholarGateUporedite metode: ERS Point-Optimal Test · DF-GLS Test. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare