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KPSS Stationariteitstest×Coïntegratietest (Johansen / Engle-Granger)×
VakgebiedEconometrieEconometrie
FamilieRegression modelRegression model
Jaar van ontstaan19921988
GrondleggerKwiatkowski, Phillips, Schmidt & ShinEngle & Granger (1987); Johansen (1988)
TypeStationarity test (reverse of unit-root tests)Time-series cointegration test
Oorspronkelijke bronKwiatkowski, 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 ↗
AliassenKwiatkowski-Phillips-Schmidt-Shin test, stationarity test, KPSS durağanlık testiJohansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)
Verwant45
SamenvattingThe 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).
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ScholarGateMethoden vergelijken: KPSS Test · Cointegration Test. Geraadpleegd op 2026-06-17 via https://scholargate.app/nl/compare