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Bayesiansk ADF-enhetsrot-test×Zivot-Andrews strukturelt brudd-test×
FagfeltØkonometriØkonometri
FamilieRegression modelRegression model
Opprinnelsesår1991–19921992
OpphavspersonSims & Uhlig (1991); Koop, Osiewalski & Steel (1992)Eric Zivot and Donald W. K. Andrews
TypeBayesian hypothesis testUnit root test with endogenous structural break
Opprinnelig kildeSims, C. A., & Uhlig, H. (1991). Understanding unit rooters: A helicopter tour. Econometrica, 59(6), 1591–1599. 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 ↗
AliasBayesian ADF test, Bayesian unit root test, Bayesian Dickey-Fuller, BADFZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test
Relaterte66
SammendragThe Bayesian Augmented Dickey-Fuller (BADF) unit root test re-frames the classical ADF test within a Bayesian framework. Rather than computing a frequentist p-value, it quantifies evidence for or against a unit root by comparing posterior probabilities or Bayes factors under the null (unit root) and alternative (stationarity) hypotheses, incorporating prior beliefs about the autoregressive parameter.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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ScholarGateSammenlign metoder: Bayesian ADF unit root test · Zivot-Andrews Structural Break Test. Hentet 2026-06-17 fra https://scholargate.app/no/compare