Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Ajalikult muutuvate parameetritega Phillips-Perroni ühikujuurtuvastustest× | Phillips-Perroni (PP) ühikjuure test× | |
|---|---|---|
| Valdkond | Ökonomeetria | Ökonomeetria |
| Perekond | Regression model | Regression model |
| Tekkeaasta≠ | 1988-1999 | 1988 |
| Looja≠ | Extension of Phillips & Perron (1988); TVP framework attributed to Hall & Luginbuhl (1999) and related literature | Peter C. B. Phillips & Pierre Perron |
| Tüüp≠ | Unit root test with time-varying parameters | Unit-root test for stationarity |
| Algallikas≠ | 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 ↗ |
| Rööpnimetused≠ | 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 |
| Seotud≠ | 3 | 4 |
| Kokkuvõte≠ | 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. |
| ScholarGateAndmestik ↗ |
|
|