Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Test Robusto de Zivot-Andrews× | Contraste de raíz unitaria de Lumsdaine-Papell con dos quiebres estructurales× | |
|---|---|---|
| Campo | Econometría | Econometría |
| Familia≠ | Regression model | Hypothesis test |
| Año de origen≠ | 1992 (original); 2000s (robust variants) | 1997 |
| Autor original≠ | Zivot & Andrews (1992); robust extensions by subsequent literature | Robin Lumsdaine & David Papell |
| Tipo≠ | Unit root test with endogenous structural break | Sequential two-break unit-root test |
| 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 ↗ | Lumsdaine, R. L., & Papell, D. H. (1997). Multiple trend breaks and the unit-root hypothesis. Review of Economics and Statistics, 79(2), 212–218. DOI ↗ |
| Alias | robust ZA test, ZA test with robust inference, Zivot-Andrews test with heteroscedasticity-robust critical values, structural break unit root test | LP Test, Two-Break Unit-Root Test, Double Structural Break Unit-Root Test, Lumsdaine-Papell İki Kırılmalı Birim Kök Testi |
| Relacionados≠ | 5 | 3 |
| Resumen≠ | The Robust Zivot-Andrews test extends the classic Zivot-Andrews (1992) unit root test to provide reliable inference when the error term may be heteroscedastic or non-normal. It tests whether a time series has a unit root while endogenously identifying a single structural break in the level, trend, or both, without requiring the researcher to pre-specify the break date. | The Lumsdaine-Papell test, introduced by Robin Lumsdaine and David Papell in 1997, extends the Zivot-Andrews single-break unit-root test to allow for two simultaneous structural breaks in the intercept and/or linear trend of a time series. It is widely used in macroeconomics and finance when data are suspected to have experienced two major regime shifts — such as policy changes, financial crises, or wars — and the researcher needs to determine whether the series is nonetheless integrated of order one. |
| ScholarGateConjunto de datos ↗ |
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