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Teste de Cointegração (Johansen / Engle-Granger)×Teste de estacionariedade KPSS×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem19881992
Autor originalEngle & Granger (1987); Johansen (1988)Kwiatkowski, Phillips, Schmidt & Shin
TipoTime-series cointegration testStationarity test (reverse of unit-root tests)
Fonte seminalJohansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. 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 ↗
Outros nomesJohansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)Kwiatkowski-Phillips-Schmidt-Shin test, stationarity test, KPSS durağanlık testi
Relacionados54
ResumoThe 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).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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ScholarGateComparar métodos: Cointegration Test · KPSS Test. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare