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| 稳健 Phillips-Perron (PP) 单位根检验× | Zivot-Andrews 结构性断点检验× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1988 (base); 2000s–2010s (robust extensions) | 1992 |
| 提出者≠ | Phillips & Perron (1988); robustification by Cavaliere & Taylor (2008) and related authors | Eric Zivot and Donald W. K. Andrews |
| 类型≠ | Unit root / stationarity test | Unit root test with endogenous structural break |
| 开创性文献≠ | Phillips, 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 ↗ |
| 别名 | robust Phillips-Perron test, heteroskedasticity-robust PP test, nonparametric robust unit root test, robust PP | ZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test |
| 相关 | 6 | 6 |
| 摘要≠ | The Robust Phillips-Perron unit root test extends the classical PP test by applying corrections — such as heteroskedasticity-consistent covariance estimation or wild-bootstrap critical values — that maintain valid inference when the error variance of a time series is non-constant or exhibits unconditional heteroskedasticity, conditions under which the standard PP test is severely size-distorted. | 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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