方法对比
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| 稳健KPSS单位根检验× | 增广迪基-福勒（ADF）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≠ | 1992–2004 | 1979 |
| 提出者≠ | Extension building on Kwiatkowski, Phillips, Schmidt & Shin (1992); robust variants developed by Hobijn, Franses & Ooms and others | David A. Dickey & Wayne A. Fuller |
| 类型≠ | Hypothesis test | Unit-root test for stationarity |
| 开创性文献≠ | Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54(1-3), 159-178. DOI ↗ | Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427–431. DOI ↗ |
| 别名 | Robust KPSS, outlier-robust stationarity test, robust LM stationarity test, KPSS with robustness correction | ADF test, Dickey-Fuller test, unit root test, Genişletilmiş Dickey-Fuller testi |
| 相关≠ | 2 | 4 |
| 摘要≠ | The Robust KPSS test is an extension of the classical Kwiatkowski-Phillips-Schmidt-Shin (1992) stationarity test that replaces the conventional long-run variance estimator with an outlier-robust or heteroscedasticity-robust counterpart, maintaining reliable size and power in the presence of contaminated observations, structural breaks, or non-standard error distributions. | The Augmented Dickey-Fuller (ADF) test is the most widely used test for a unit root — that is, for whether a time series is non-stationary and must be differenced before modelling. Introduced by David Dickey and Wayne Fuller in 1979 and extended by Said and Dickey in 1984 to series with higher-order autocorrelation, it regresses the change in the series on its lagged level plus lagged differences and asks whether the lagged-level coefficient is zero. |
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