Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Robustais papildinātais Dekija-Fullera vienības saknes tests× | Panelas ADF vienības saknes tests× | |
|---|---|---|
| Nozare | Ekonometrija | Ekonometrija |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1996-2001 | 2002–2003 |
| Autors≠ | Ng and Perron (2001); Elliott, Rothenberg, and Stock (1996) | Im, Pesaran & Shin (2003); Levin, Lin & Chu (2002) |
| Tips | Unit root / stationarity test | Unit root / stationarity test |
| Pirmavots≠ | Ng, S., and Perron, P. (2001). Lag length selection and the construction of unit root tests with good size and power. Econometrica, 69(6), 1519-1554. DOI ↗ | Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74. DOI ↗ |
| Citi nosaukumi | robust ADF test, HAC-corrected ADF, heteroscedasticity-robust unit root test, GLS-detrended ADF | Panel ADF test, IPS test, Im-Pesaran-Shin test, panel unit root test |
| Saistītās | 6 | 6 |
| Kopsavilkums≠ | The Robust ADF unit root test extends the classical ADF procedure with improvements that correct for size distortions arising from heteroscedastic or serially correlated errors, and from poor lag-length selection. Drawing on GLS detrending (Elliott, Rothenberg, and Stock 1996) and modified information criteria (Ng and Perron 2001), it delivers reliable size and power in the presence of non-standard error processes common in macroeconomic and financial time series. | 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. |
| ScholarGateDatu kopa ↗ |
|
|