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Teste de Raiz Unitária Robusto de Dickey-Fuller Aumentado×Teste de Raiz Unitária de Phillips-Perron×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem1996-20011988
Autor originalNg and Perron (2001); Elliott, Rothenberg, and Stock (1996)Peter C. B. Phillips and Pierre Perron
TipoUnit root / stationarity testHypothesis test (unit root)
Fonte seminalNg, S., and Perron, P. (2001). Lag length selection and the construction of unit root tests with good size and power. Econometrica, 69(6), 1519-1554. DOI ↗Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗
Outros nomesrobust ADF test, HAC-corrected ADF, heteroscedasticity-robust unit root test, GLS-detrended ADFPP test, PP unit root test, Phillips-Perron test, nonparametric unit root test
Relacionados65
ResumoThe Robust ADF unit root test extends the classical ADF procedure with improvements that correct for size distortions arising from heteroscedastic or serially correlated errors, and from poor lag-length selection. Drawing on GLS detrending (Elliott, Rothenberg, and Stock 1996) and modified information criteria (Ng and Perron 2001), it delivers reliable size and power in the presence of non-standard error processes common in macroeconomic and financial time series.The 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.
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ScholarGateComparar métodos: Robust ADF Unit Root Test · Phillips-Perron unit root test. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare