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Тест DF-GLS: Тест за единичен корен на Дики-Фулър с премахнат тренд чрез ОНЛ×Тест за стационарност KPSS×
ОбластИконометрияИконометрия
СемействоHypothesis testRegression model
Година на възникване19961992
СъздателElliott, Rothenberg & StockKwiatkowski, Phillips, Schmidt & Shin
ТипOne-sided t-test on GLS-detrended seriesStationarity test (reverse of unit-root tests)
Основополагащ източникElliott, G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64(4), 813–836. DOI ↗Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54(1–3), 159–178. DOI ↗
Други названияElliott-Rothenberg-Stock test, ERS unit-root test, GLS-detrended Dickey-Fuller test, DF-GLS birim kök testiKwiatkowski-Phillips-Schmidt-Shin test, stationarity test, KPSS durağanlık 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 KPSS test, introduced by Kwiatkowski, Phillips, Schmidt and Shin in 1992, tests the null hypothesis that a series is stationary against the alternative that it contains a unit root — the reverse of the ADF and Phillips-Perron tests. By flipping the burden of proof, it is designed to be used alongside unit-root tests so that the two can confirm one another and expose ambiguous, borderline cases.
ScholarGateНабор от данни
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  2. 1 Източници
  3. PUBLISHED
  1. v1
  2. 1 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: DF-GLS Test · KPSS Test. Извлечено на 2026-06-18 от https://scholargate.app/bg/compare