方法对比
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| 时变参数Zivot-Andrews单位根检验× | Phillips-Perron单位根检验× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1992 (base test); TVP adaptation in later applied work | 1988 |
| 提出者≠ | Zivot & Andrews (1992); TVP extension in subsequent applied econometrics literature | Peter C. B. Phillips and Pierre Perron |
| 类型≠ | Unit root test with endogenous structural break under time-varying parameters | Hypothesis test (unit root) |
| 开创性文献≠ | 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 ↗ | Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗ |
| 别名≠ | TVP Zivot-Andrews test, time-varying Zivot-Andrews unit root test, TVP-ZA test | PP test, PP unit root test, Phillips-Perron test, nonparametric unit root test |
| 相关≠ | 6 | 5 |
| 摘要≠ | The time-varying parameter Zivot-Andrews test extends the classic Zivot-Andrews (1992) structural break unit root test by allowing the regression coefficients to evolve over time. Rather than assuming fixed parameters across the full sample, this approach lets the autoregressive dynamics and break timing adapt through a state-space or rolling framework, improving robustness when economic relationships shift gradually. | The Phillips-Perron (PP) test is a nonparametric unit root test for time series that corrects for serial correlation and heteroscedasticity in the error term without adding lagged differences. Introduced by Phillips and Perron (1988), it applies a kernel-based long-run variance estimator to adjust the Dickey-Fuller statistic, making it robust to a wide class of weakly dependent error processes. |
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