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| CIPS-Test – Querschnitts-augmentierter IPS-Panel-Einheitswurzeltest× | Kreuzsektional erweiteter Dickey-Fuller (CADF) Test× | |
|---|---|---|
| Fachgebiet | Ökonometrie | Ökonometrie |
| Familie | Hypothesis test | Hypothesis test |
| Entstehungsjahr | 2007 | 2007 |
| Urheber | M. Hashem Pesaran | M. Hashem Pesaran |
| Typ≠ | Panel unit-root test with cross-section dependence | Panel unit-root test with cross-sectional augmentation |
| Wegweisende Quelle | Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312. DOI ↗ | Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312. DOI ↗ |
| Aliasnamen | Pesaran CIPS Test, Cross-Sectionally Augmented IPS, Second-Generation Panel Unit-Root Test, CIPS Birim Kök Testi | Cross-Sectionally Augmented ADF, Panel CADF Test, Pesaran Panel Unit Root Test, CADF Birim Kök Testi |
| Verwandt | 3 | 3 |
| Zusammenfassung≠ | The CIPS test, introduced by Pesaran (2007), is a second-generation panel unit-root test designed for panels in which the cross-sectional units share unobserved common factors that induce cross-section dependence. By augmenting each individual ADF regression with cross-sectional averages and their lags, the CIPS test accounts for this dependence and produces reliable inference where first-generation tests such as the original IPS test break down. It is widely applied in macroeconomic and finance panels where shocks propagate across countries or regions. | The Cross-sectionally Augmented Dickey-Fuller (CADF) test, introduced by Pesaran (2007), is a second-generation panel unit-root test designed to handle cross-sectional dependence among panel units. Unlike first-generation panel unit-root tests that assume cross-sectional independence, the CADF test augments individual ADF regressions with cross-sectional averages of lagged levels and first differences, making it suitable for macro-panels and cross-country studies where common factors drive co-movement. |
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