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Test de racine unitaire de Phillips-Perron (PP)×Test de cointégration (Johansen / Engle-Granger)×
DomaineÉconométrieÉconométrie
FamilleRegression modelRegression model
Année d'origine19881988
Auteur d'originePeter C. B. Phillips & Pierre PerronEngle & Granger (1987); Johansen (1988)
TypeUnit-root test for stationarityTime-series cointegration test
Source fondatricePhillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗Johansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. DOI ↗
AliasPP test, Phillips-Perron unit root test, Phillips-Perron birim kök testiJohansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)
Apparentées45
RésuméThe Phillips-Perron test, proposed by Peter Phillips and Pierre Perron in 1988, tests for a unit root in a time series, like the Augmented Dickey-Fuller test, but corrects for autocorrelation and heteroskedasticity in the errors non-parametrically rather than by adding lagged differences. It runs a simple Dickey-Fuller regression and then adjusts the test statistic using a long-run variance estimate, so the practitioner need not choose a lag length for the regression itself.The cointegration test examines whether non-stationary time series that each contain a unit root share a stable long-run equilibrium relationship. The single-equation residual approach was introduced by Engle and Granger (1987) and the system-based rank approach by Johansen (1988).
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ScholarGateComparer des méthodes: Phillips-Perron Test · Cointegration Test. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare