Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Test des bornes ARDL sur données de panel× | Test de cointégration de Panel Engle-Granger× | |
|---|---|---|
| Domaine | Économétrie | Économétrie |
| Famille | Regression model | Regression model |
| Année d'origine≠ | 2001 | 1999 |
| Auteur d'origine≠ | Pesaran, Shin & Smith | Pedroni (1999), extending Engle & Granger (1987) |
| Type≠ | Bounds test for cointegration | Cointegration test |
| Source fondatrice≠ | Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. DOI ↗ | Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and Statistics, 61(S1), 653-670. DOI ↗ |
| Alias | Panel ARDL, Panel bounds testing, Panel ARDL cointegration, Panel PSS bounds test | panel cointegration test, panel EG cointegration, Pedroni cointegration test, residual-based panel cointegration |
| Apparentées≠ | 6 | 5 |
| Résumé≠ | The Panel ARDL Bounds Test extends the Pesaran, Shin and Smith (2001) bounds testing procedure to panel data, allowing researchers to test for long-run cointegrating relationships between variables without requiring all series to be integrated of the same order. It is widely used in macro-panel studies where variables may be I(0), I(1), or a mixture of both. | The Panel Engle-Granger cointegration test extends the classic two-step Engle-Granger procedure to panel data, allowing researchers to detect long-run equilibrium relationships among integrated variables across multiple cross-sectional units simultaneously. Pedroni (1999) developed panel statistics that pool information across units while allowing heterogeneous short-run dynamics and individual-specific intercepts and trends. |
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