Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Тест Филлипса-Перрона на единичный корень с изменяющимися во времени параметрами× | Тест Филлипса-Перрона (PP) на единичный корень× | |
|---|---|---|
| Область | Эконометрика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1988-1999 | 1988 |
| Автор метода≠ | Extension of Phillips & Perron (1988); TVP framework attributed to Hall & Luginbuhl (1999) and related literature | Peter C. B. Phillips & Pierre Perron |
| Тип≠ | Unit root test with time-varying parameters | Unit-root test for stationarity |
| Основополагающий источник≠ | Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. DOI ↗ | Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗ |
| Другие названия≠ | TVP-PP unit root test, time-varying PP test, Phillips-Perron test with time-varying parameters, TVP unit root test | PP test, Phillips-Perron unit root test, Phillips-Perron birim kök testi |
| Связанные≠ | 3 | 4 |
| Сводка≠ | The time-varying parameter PP unit root test extends the classical Phillips-Perron test by allowing the autoregressive coefficient to change over time. It detects stochastic non-stationarity in series whose persistence may shift across regimes or periods, offering more reliable inference when structural change is suspected in the data-generating process. | The Phillips-Perron test, proposed by Peter Phillips and Pierre Perron in 1988, tests for a unit root in a time series, like the Augmented Dickey-Fuller test, but corrects for autocorrelation and heteroskedasticity in the errors non-parametrically rather than by adding lagged differences. It runs a simple Dickey-Fuller regression and then adjusts the test statistic using a long-run variance estimate, so the practitioner need not choose a lag length for the regression itself. |
| ScholarGateНабор данных ↗ |
|
|