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Teste de Raiz Unitária com Quebra Estrutural em Painel Zivot-Andrews×Teste de Raiz Unitária Painel Phillips-Perron×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem1992 (panel extension: 2000s)1988 (original PP); panel adaptation widely established by 2003
Autor originalZivot & Andrews (1992); extended to panel settings by subsequent literaturePhillips & Perron (1988); panel extension by Im, Pesaran & Shin (2003)
TipoUnit root test with endogenous structural breakNonparametric unit root test
Fonte seminalZivot, 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 ↗Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53-74. DOI ↗
Outros nomespanel ZA test, panel structural break unit root test, Zivot-Andrews panel unit root test, panel endogenous break unit root testPanel PP test, Phillips-Perron panel unit root, Im-Pesaran-Shin PP panel test, panel nonparametric unit root test
Relacionados66
ResumoThe Panel Zivot-Andrews test extends the single-series Zivot-Andrews (1992) structural break unit root test to panel data, allowing each cross-sectional unit to have its own endogenously determined break date. It tests the null of a unit root against the alternative of stationarity with a one-time structural break, accounting for regime shifts that bias standard panel unit root tests toward false non-rejection.The Panel PP unit root test extends the nonparametric Phillips-Perron correction for serial correlation to a multi-individual panel setting. It tests the null hypothesis that all cross-sectional units contain a unit root, using a pooled or averaged PP-type statistic that is robust to heteroscedastic and serially correlated errors without requiring explicit lag selection.
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ScholarGateComparar métodos: Panel Zivot-Andrews test · Panel PP unit root test. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare