Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Test de racine unitaire de Phillips-Perron sur données de panel× | Test de racine unitaire de Phillips-Perron× | |
|---|---|---|
| Domaine | Économétrie | Économétrie |
| Famille | Regression model | Regression model |
| Année d'origine≠ | 1988 (original PP); panel adaptation widely established by 2003 | 1988 |
| Auteur d'origine≠ | Phillips & Perron (1988); panel extension by Im, Pesaran & Shin (2003) | Peter C. B. Phillips and Pierre Perron |
| Type≠ | Nonparametric unit root test | Hypothesis test (unit root) |
| Source fondatrice≠ | Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53-74. DOI ↗ | Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗ |
| Alias | Panel PP test, Phillips-Perron panel unit root, Im-Pesaran-Shin PP panel test, panel nonparametric unit root test | PP test, PP unit root test, Phillips-Perron test, nonparametric unit root test |
| Apparentées≠ | 6 | 5 |
| Résumé≠ | The Panel PP unit root test extends the nonparametric Phillips-Perron correction for serial correlation to a multi-individual panel setting. It tests the null hypothesis that all cross-sectional units contain a unit root, using a pooled or averaged PP-type statistic that is robust to heteroscedastic and serially correlated errors without requiring explicit lag selection. | 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. |
| ScholarGateJeu de données ↗ |
|
|