Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Test jednotkového kořene se strukturálním zlomem podle Života a Andrewse× | Phillipsův-Perronův test jednotkového kořene× | |
|---|---|---|
| Obor | Ekonometrie | Ekonometrie |
| Rodina | Regression model | Regression model |
| Rok vzniku≠ | 1992 | 1988 |
| Tvůrce≠ | Eric Zivot and Donald W. K. Andrews | Peter C. B. Phillips and Pierre Perron |
| Typ≠ | Unit root test with endogenous structural break | Hypothesis test (unit root) |
| Původní zdroj≠ | Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251–270. DOI ↗ | Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗ |
| Další názvy | Zivot-Andrews test, ZA unit root test, endogenous structural break unit root test, ZA breakpoint test | PP test, PP unit root test, Phillips-Perron test, nonparametric unit root test |
| Příbuzné≠ | 6 | 5 |
| Shrnutí≠ | The Zivot-Andrews test is an endogenous structural break unit root test that determines the break point from the data rather than imposing it externally. It tests for a unit root against the alternative of stationarity around a single structural break — in the mean, the trend, or both — choosing the break date that provides the strongest evidence against the null. | The Phillips-Perron (PP) test is a nonparametric unit root test for time series that corrects for serial correlation and heteroscedasticity in the error term without adding lagged differences. Introduced by Phillips and Perron (1988), it applies a kernel-based long-run variance estimator to adjust the Dickey-Fuller statistic, making it robust to a wide class of weakly dependent error processes. |
| ScholarGateDatová sada ↗ |
|
|