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Teste de Raiz Unitária de Phillips-Perron×Teste de Quebra Estrutural de Zivot-Andrews×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem19881992
Autor originalPeter C. B. Phillips and Pierre PerronEric Zivot and Donald W. K. Andrews
TipoHypothesis test (unit root)Unit root test with endogenous structural break
Fonte seminalPhillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251–270. DOI ↗
Outros nomesPP test, PP unit root test, Phillips-Perron test, nonparametric unit root testZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test
Relacionados56
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 Zivot-Andrews (ZA) test is a unit root test that endogenously identifies the most likely location of a single structural break in a time series. Unlike the standard ADF test, it does not require the researcher to pre-specify when the break occurred, making it robust to data-driven regime shifts such as policy changes, financial crises, or major economic events.
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ScholarGateComparar métodos: Phillips-Perron unit root test · Zivot-Andrews Structural Break Test. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare