Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Panelas ADF vienības saknes tests× | Paneļa Engla-Grāndžera kointegrācijas tests× | |
|---|---|---|
| Nozare | Ekonometrija | Ekonometrija |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 2002–2003 | 1999 |
| Autors≠ | Im, Pesaran & Shin (2003); Levin, Lin & Chu (2002) | Pedroni (1999), extending Engle & Granger (1987) |
| Tips≠ | Unit root / stationarity test | Cointegration test |
| Pirmavots≠ | Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74. 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 ↗ |
| Citi nosaukumi | Panel ADF test, IPS test, Im-Pesaran-Shin test, panel unit root test | panel cointegration test, panel EG cointegration, Pedroni cointegration test, residual-based panel cointegration |
| Saistītās≠ | 6 | 5 |
| Kopsavilkums≠ | The Panel Augmented Dickey-Fuller (Panel ADF) unit root test extends the classical ADF framework to panel datasets. By pooling information across cross-sectional units it achieves substantially higher power than single-series ADF tests, allowing researchers to determine whether time-series variables are stationary or integrated of order one before modelling long-run relationships. | 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. |
| ScholarGateDatu kopa ↗ |
|
|