Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Testul Zivot-Andrews cu parametri dependenți de timp pentru rădăcină unitară× | Testul Fourier Zivot-Andrews pentru rădăcină unitate× | |
|---|---|---|
| Domeniu | Econometrie | Econometrie |
| Familie | Regression model | Regression model |
| Anul apariției≠ | 1992 (base test); TVP adaptation in later applied work | 2012 |
| Autorul original≠ | Zivot & Andrews (1992); TVP extension in subsequent applied econometrics literature | Enders & Lee (2012), extending Zivot & Andrews (1992) |
| Tip≠ | Unit root test with endogenous structural break under time-varying parameters | Unit root test with smooth structural break |
| Sursa seminală≠ | Zivot, E., & Andrews, D. W. K. (1992). Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis. Journal of Business & Economic Statistics, 10(3), 251–270. DOI ↗ | Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574-599. DOI ↗ |
| Denumiri alternative≠ | TVP Zivot-Andrews test, time-varying Zivot-Andrews unit root test, TVP-ZA test | Fourier ZA test, FZA unit root test, Fourier structural break unit root test, smooth structural break ADF test |
| Înrudite | 6 | 6 |
| Rezumat≠ | The time-varying parameter Zivot-Andrews test extends the classic Zivot-Andrews (1992) structural break unit root test by allowing the regression coefficients to evolve over time. Rather than assuming fixed parameters across the full sample, this approach lets the autoregressive dynamics and break timing adapt through a state-space or rolling framework, improving robustness when economic relationships shift gradually. | The Fourier Zivot-Andrews test extends the classic Zivot-Andrews (1992) unit root test by replacing sharp, single structural break dummies with a low-frequency Fourier approximation, allowing the test to accommodate smooth, gradual, and multiple unknown breaks in the level or trend of a series. |
| ScholarGateSet de date ↗ |
|
|