Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Нелинейный тест на единичный корень Филлипса-Перрона× | Нелинейный тест на единичный корень ADF (тест KSS)× | |
|---|---|---|
| Область | Эконометрика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1988 (base); 2000s (nonlinear extensions) | 2003 |
| Автор метода≠ | Phillips & Perron (1988); nonlinear extensions by Kapetanios, Shin & Snell (2003) and related authors | Kapetanios, Shin, and Snell |
| Тип≠ | Unit root test with nonlinear adjustment | Nonlinear unit root test |
| Основополагающий источник≠ | Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. DOI ↗ | Kapetanios, G., Shin, Y., & Snell, A. (2003). Testing for a unit root in the nonlinear STAR framework. Journal of Econometrics, 112(2), 359-379. DOI ↗ |
| Другие названия | Nonlinear PP test, Nonlinear Phillips-Perron test, PP unit root test with nonlinear adjustment, nonlinear PP | KSS test, nonlinear unit root test, ESTAR unit root test, Kapetanios-Shin-Snell test |
| Связанные | 6 | 6 |
| Сводка≠ | The Nonlinear Phillips-Perron unit root test extends the classic PP test by allowing the adjustment toward equilibrium to follow a nonlinear path — such as a smooth transition or threshold mechanism — rather than assuming a constant linear speed of adjustment. This makes it more powerful when the true data-generating process involves regime-dependent or asymmetric mean-reversion dynamics. | The Nonlinear ADF unit root test, most prominently operationalized by Kapetanios, Shin, and Snell (2003), extends the classical Augmented Dickey-Fuller test to detect mean reversion that occurs via an Exponential Smooth Transition Autoregressive (ESTAR) process. It tests the null of a unit root against a nonlinear stationary alternative, capturing adjustment dynamics that the standard linear ADF test misses. |
| ScholarGateНабор данных ↗ |
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