ScholarGate
Assistant

Comparer des méthodes

Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.

Test de stationnarité KPSS×Test de cointégration (Johansen / Engle-Granger)×
DomaineÉconométrieÉconométrie
FamilleRegression modelRegression model
Année d'origine19921988
Auteur d'origineKwiatkowski, Phillips, Schmidt & ShinEngle & Granger (1987); Johansen (1988)
TypeStationarity test (reverse of unit-root tests)Time-series cointegration test
Source fondatriceKwiatkowski, 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 ↗Johansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. DOI ↗
AliasKwiatkowski-Phillips-Schmidt-Shin test, stationarity test, KPSS durağanlık testiJohansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)
Apparentées45
RésuméThe 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.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).
ScholarGateJeu de données
  1. v1
  2. 1 Sources
  3. PUBLISHED
  1. v1
  2. 2 Sources
  3. PUBLISHED

Aller à la recherche Télécharger les diapositives

ScholarGateComparer des méthodes: KPSS Test · Cointegration Test. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare