Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Kipimo cha Mizizi ya Kitengo cha Zivot-Andrews kinachobadilika kwa Wakati× | Kipimo cha Mizizi ya Muundo Zivot-Andrews× | |
|---|---|---|
| Nyanja | Ekonometriki | Ekonometriki |
| Familia | Regression model | Regression model |
| Mwaka wa asili≠ | 1992 (base test); TVP adaptation in later applied work | 1992 |
| Mwanzilishi≠ | Zivot & Andrews (1992); TVP extension in subsequent applied econometrics literature | Eric Zivot and Donald W. K. Andrews |
| Aina≠ | Unit root test with endogenous structural break under time-varying parameters | Unit root test with endogenous structural break |
| Chanzo asilia | 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 ↗ |
| Majina mbadala≠ | TVP Zivot-Andrews test, time-varying Zivot-Andrews unit root test, TVP-ZA test | Zivot-Andrews test, ZA unit root test, endogenous structural break unit root test, ZA breakpoint test |
| Zinazohusiana | 6 | 6 |
| Muhtasari≠ | 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 test is an endogenous structural break unit root test that determines the break point from the data rather than imposing it externally. It tests for a unit root against the alternative of stationarity around a single structural break — in the mean, the trend, or both — choosing the break date that provides the strongest evidence against the null. |
| ScholarGateSeti ya data ↗ |
|
|