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Teste de Raiz Unitária de Phillips-Perron×Teste de estacionariedade KPSS×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem19881992
Autor originalPeter C. B. Phillips and Pierre PerronKwiatkowski, Phillips, Schmidt & Shin
TipoHypothesis test (unit root)Stationarity test (reverse of unit-root tests)
Fonte seminalPhillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. 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 nomesPP test, PP unit root test, Phillips-Perron test, nonparametric unit root testKwiatkowski-Phillips-Schmidt-Shin test, stationarity test, KPSS durağanlık testi
Relacionados54
ResumoThe Phillips-Perron (PP) test is a nonparametric unit root test for time series that corrects for serial correlation and heteroscedasticity in the error term without adding lagged differences. Introduced by Phillips and Perron (1988), it applies a kernel-based long-run variance estimator to adjust the Dickey-Fuller statistic, making it robust to a wide class of weakly dependent error processes.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: Phillips-Perron unit root test · KPSS Test. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare