Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Prueba de raíz unitaria Zivot-Andrews con parámetros variables en el tiempo× | Prueba de raíz unitaria con quiebre estructural de Zivot-Andrews× | |
|---|---|---|
| Campo | Econometría | Econometría |
| Familia | Regression model | Regression model |
| Año de origen≠ | 1992 (base test); TVP adaptation in later applied work | 1992 |
| Autor original≠ | Zivot & Andrews (1992); TVP extension in subsequent applied econometrics literature | Eric Zivot and Donald W. K. Andrews |
| Tipo≠ | Unit root test with endogenous structural break under time-varying parameters | Unit root test with endogenous structural break |
| Fuente seminal | 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 ↗ |
| Alias≠ | 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 |
| Relacionados | 6 | 6 |
| Resumen≠ | 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. |
| ScholarGateConjunto de datos ↗ |
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