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Test de rupture structurelle de Zivot-Andrews×Modèle ARIMA (Modèle Autorégressif Intégré à Moyenne Mobile)×
DomaineÉconométrieÉconométrie
FamilleRegression modelRegression model
Année d'origine19921970
Auteur d'origineEric Zivot and Donald W. K. AndrewsGeorge Box and Gwilym Jenkins
TypeUnit root test with endogenous structural breakTime series forecasting model
Source fondatriceZivot, 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 ↗Box, G. E. P., & Jenkins, G. M. (1970). Time Series Analysis: Forecasting and Control. Holden-Day. link ↗
AliasZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break testARIMA, Box-Jenkins model, integrated ARMA, ARIMA(p,d,q)
Apparentées66
RésuméThe 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.The ARIMA(p,d,q) model is the standard workhorse for univariate time series forecasting. It combines autoregressive terms (past values), differencing to induce stationarity, and moving average terms (past shocks) into a unified linear framework. Developed by Box and Jenkins (1970), it remains one of the most widely applied models in econometrics and applied statistics.
ScholarGateJeu de données
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  1. v1
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  3. PUBLISHED

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ScholarGateComparer des méthodes: Zivot-Andrews Structural Break Test · ARIMA model. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare