Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Test Zivot-Andrews me Parametër që Varet nga Koha për Rrënjë Njësore× | Testi Zivot-Andrews për Ndërprerje Strukturore× | |
|---|---|---|
| Fusha | Ekonometri | Ekonometri |
| Familja | Regression model | Regression model |
| Viti i origjinës≠ | 1992 (base test); TVP adaptation in later applied work | 1992 |
| Krijuesi≠ | Zivot & Andrews (1992); TVP extension in subsequent applied econometrics literature | Eric Zivot and Donald W. K. Andrews |
| Lloji≠ | Unit root test with endogenous structural break under time-varying parameters | Unit root test with endogenous structural break |
| Burimi themelues | 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 ↗ | 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 ↗ |
| Emërtime të tjera≠ | TVP Zivot-Andrews test, time-varying Zivot-Andrews unit root test, TVP-ZA test | ZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test |
| Të lidhura | 6 | 6 |
| Përmbledhja≠ | 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 Zivot-Andrews (ZA) test is a unit root test that endogenously identifies the most likely location of a single structural break in a time series. Unlike the standard ADF test, it does not require the researcher to pre-specify when the break occurred, making it robust to data-driven regime shifts such as policy changes, financial crises, or major economic events. |
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