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Тест DF-GLS: Тест за единичен корен на Дики-Фулър с премахнат тренд чрез ОНЛ×Тест на разширен Дики-Фулер (ADF) за единичен корен×
ОбластИконометрияИконометрия
СемействоHypothesis testRegression model
Година на възникване19961979
СъздателElliott, Rothenberg & StockDavid A. Dickey & Wayne A. Fuller
ТипOne-sided t-test on GLS-detrended seriesUnit-root test for stationarity
Основополагащ източникElliott, G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64(4), 813–836. DOI ↗Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427–431. DOI ↗
Други названияElliott-Rothenberg-Stock test, ERS unit-root test, GLS-detrended Dickey-Fuller test, DF-GLS birim kök testiADF test, Dickey-Fuller test, unit root test, Genişletilmiş Dickey-Fuller testi
Свързани34
РезюмеThe 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 Augmented Dickey-Fuller (ADF) test is the most widely used test for a unit root — that is, for whether a time series is non-stationary and must be differenced before modelling. Introduced by David Dickey and Wayne Fuller in 1979 and extended by Said and Dickey in 1984 to series with higher-order autocorrelation, it regresses the change in the series on its lagged level plus lagged differences and asks whether the lagged-level coefficient is zero.
ScholarGateНабор от данни
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ScholarGateСравнение на методи: DF-GLS Test · Augmented Dickey-Fuller Test. Извлечено на 2026-06-17 от https://scholargate.app/bg/compare