方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 时间变化参数 KPSS 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≠ | 2000s-2010s | 1979 |
| 提出者≠ | Extension of Kwiatkowski, Phillips, Schmidt, and Shin (1992); time-varying generalizations developed by Cavaliere, Taylor, and others | David A. Dickey & Wayne A. Fuller |
| 类型≠ | Hypothesis test (stationarity) | 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: How sure are we that economic time series have 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 | TVP-KPSS test, time-varying KPSS stationarity test, locally stationary KPSS test, TV-KPSS | ADF test, Dickey-Fuller test, unit root test, Genişletilmiş Dickey-Fuller testi |
| 相关≠ | 3 | 4 |
| 摘要≠ | The time-varying parameter KPSS test extends the classic Kwiatkowski-Phillips-Schmidt-Shin (1992) stationarity test to settings where the deterministic or stochastic components of a series may shift over time. It tests the null hypothesis of stationarity while allowing the model's parameters to evolve, making it robust to structural instability that would otherwise distort the standard KPSS result. | 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. |
| ScholarGate数据集 ↗ |
|
|