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| CS-ARDL (Cross-Sectional ARDL)× | Δοκιμή DF-GLS για Πάνελ× | |
|---|---|---|
| Πεδίο | Οικονομετρία | Οικονομετρία |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 2006 | 1996 |
| Δημιουργός≠ | Pesaran and colleagues | Elliott, Rothenberg, and Stock (adapted to panels) |
| Τύπος≠ | Dynamic panel model | Stationarity test |
| Θεμελιώδης πηγή≠ | Pesaran, M. H., & Smith, R. (2016). Testing weak cross-sectional dependence in large panels. Econometric Reviews, 34(6-10), 1089-1117. link ↗ | Elliott, G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometric Reviews, 13(4), 469-497. DOI ↗ |
| Εναλλακτικές ονομασίες | Panel ARDL with cross-sectional dependence | Panel unit-root test |
| Συναφείς | 3 | 3 |
| Σύνοψη≠ | CS-ARDL (Cross-Sectional ARDL) applies the ARDL framework to panel data while explicitly accounting for cross-sectional dependence—correlation of shocks and relationships across units (countries, firms, regions). Introduced by Pesaran and colleagues (2016), it extends panel ARDL methods to handle common factors or global shocks affecting all units simultaneously. This is crucial for realistic modeling of internationally integrated economies and firm networks. | Panel DF-GLS extends the Elliott, Rothenberg, and Stock (1996) GLS unit-root test to panel data, combining cross-sectional and time-series information to test whether variables contain unit roots. Introduced by Hadri and colleagues (2005), it is more powerful than standard panel unit-root tests (IPS, LLC) due to its GLS detrending approach. This test is essential for establishing stationarity before fitting cointegration or dynamic panel models. |
| ScholarGateΣύνολο δεδομένων ↗ |
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