Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Testi i Rrënjës Njësi Robust Phillips-Perron (PP)× | Test i Rrugës Stohastike të Zgjeruar Dickey-Fuller (Robust ADF)× | |
|---|---|---|
| Fusha | Ekonometri | Ekonometri |
| Familja | Regression model | Regression model |
| Viti i origjinës≠ | 1988 (base); 2000s–2010s (robust extensions) | 1996-2001 |
| Krijuesi≠ | Phillips & Perron (1988); robustification by Cavaliere & Taylor (2008) and related authors | Ng and Perron (2001); Elliott, Rothenberg, and Stock (1996) |
| Lloji | Unit root / stationarity test | Unit root / stationarity test |
| Burimi themelues≠ | Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗ | Ng, S., and Perron, P. (2001). Lag length selection and the construction of unit root tests with good size and power. Econometrica, 69(6), 1519-1554. DOI ↗ |
| Emërtime të tjera | robust Phillips-Perron test, heteroskedasticity-robust PP test, nonparametric robust unit root test, robust PP | robust ADF test, HAC-corrected ADF, heteroscedasticity-robust unit root test, GLS-detrended ADF |
| Të lidhura | 6 | 6 |
| Përmbledhja≠ | 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 Robust ADF unit root test extends the classical ADF procedure with improvements that correct for size distortions arising from heteroscedastic or serially correlated errors, and from poor lag-length selection. Drawing on GLS detrending (Elliott, Rothenberg, and Stock 1996) and modified information criteria (Ng and Perron 2001), it delivers reliable size and power in the presence of non-standard error processes common in macroeconomic and financial time series. |
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