Sammenlign metoder
Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.
| Robust Phillips-Perron (PP) enhedsrodstest× | Augmented Dickey-Fuller (ADF) Enhedsrodstest× | |
|---|---|---|
| Fagområde | Økonometri | Økonometri |
| Familie | Regression model | Regression model |
| Oprindelsesår≠ | 1988 (base); 2000s–2010s (robust extensions) | 1979–1984 |
| Ophavsperson≠ | Phillips & Perron (1988); robustification by Cavaliere & Taylor (2008) and related authors | Said & Dickey (1984); building on Dickey & Fuller (1979) |
| Type≠ | Unit root / stationarity test | Hypothesis test (unit root) |
| Oprindelig kilde≠ | Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗ | Said, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599–607. DOI ↗ |
| Aliasser | robust Phillips-Perron test, heteroskedasticity-robust PP test, nonparametric robust unit root test, robust PP | ADF test, ADF unit root test, Dickey-Fuller test (augmented), Said-Dickey test |
| Relaterede≠ | 6 | 5 |
| Resumé≠ | The Robust Phillips-Perron unit root test extends the classical PP test by applying corrections — such as heteroskedasticity-consistent covariance estimation or wild-bootstrap critical values — that maintain valid inference when the error variance of a time series is non-constant or exhibits unconditional heteroskedasticity, conditions under which the standard PP test is severely size-distorted. | The Augmented Dickey-Fuller test is the standard procedure for determining whether a univariate time series contains a unit root — that is, whether the series is non-stationary. It extends the original Dickey-Fuller test by including lagged difference terms that absorb serial correlation in the residuals, making the test valid for a wide range of time-series processes encountered in economics and finance. |
| ScholarGateDatasæt ↗ |
|
|