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Bayesian Phillips-Perron-Einheitswurzeltest×Zivot-Andrews-Bruchtest×
FachgebietÖkonometrieÖkonometrie
FamilieRegression modelRegression model
Entstehungsjahr1988 / early 1990s1992
UrheberPhillips & Perron (classical test, 1988); Bayesian framework: Sims & Uhlig (1991)Eric Zivot and Donald W. K. Andrews
TypUnit root test (Bayesian)Unit root test with endogenous structural break
Wegweisende QuellePhillips, 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 ↗
AliasnamenBayesian PP test, Bayesian Phillips-Perron test, Bayesian nonparametric unit root test, Bayes PP unit rootZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test
Verwandt56
ZusammenfassungThe Bayesian Phillips-Perron unit root test combines the nonparametric long-run variance correction of the classical Phillips-Perron test with a Bayesian inferential framework. Instead of a p-value, it yields a posterior probability or Bayes factor quantifying evidence for or against a unit root, allowing researchers to incorporate prior economic knowledge and obtain probability statements directly about the persistence of a time series.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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ScholarGateMethoden vergleichen: Bayesian PP unit root test · Zivot-Andrews Structural Break Test. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare