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| Modèle SVAR à ruptures structurelles× | Test de rupture structurelle de Zivot-Andrews× | |
|---|---|---|
| Domaine | Économétrie | Économétrie |
| Famille | Regression model | Regression model |
| Année d'origine≠ | 1980–2000s | 1992 |
| Auteur d'origine≠ | Sims (1980) for SVAR; structural break extensions developed throughout 1990s–2000s | Eric Zivot and Donald W. K. Andrews |
| Type≠ | Multivariate time-series model with regime change | Unit root test with endogenous structural break |
| Source fondatrice≠ | Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48. 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 ↗ |
| Alias | break-SVAR, SVAR with regime change, structural break structural VAR, SB-SVAR | ZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test |
| Apparentées | 6 | 6 |
| Résumé≠ | The structural break SVAR model extends the standard Structural Vector Autoregression by allowing one or more discrete shifts in the system's parameters across time. It simultaneously identifies causal (structural) shocks and accounts for regime changes — such as policy shifts, crises, or institutional reforms — that alter the dynamics among multiple 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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