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ERS punktuāli optimālais vienības saknes tests×KPSS stacionaritātes tests×
NozareEkonometrijaEkonometrija
SaimeHypothesis testRegression model
Izcelsmes gads19961992
AutorsElliott, Rothenberg & StockKwiatkowski, Phillips, Schmidt & Shin
TipsOne-sided parametric unit-root testStationarity test (reverse of unit-root tests)
PirmavotsElliott, 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 ↗
Citi nosaukumiERS P-test, Point-Optimal Unit-Root Test, ERS PT statistic, ERS Nokta-Optimal Birim Kök TestiKwiatkowski-Phillips-Schmidt-Shin test, stationarity test, KPSS durağanlık testi
Saistītās34
KopsavilkumsThe 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 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.
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ScholarGateSalīdzināt metodes: ERS Point-Optimal Test · KPSS Test. Izgūts 2026-06-19 no https://scholargate.app/lv/compare