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GLS con Rupturas Estructurales×Prueba de Ruptura Estructural de Zivot-Andrews×
CampoEconometríaEconometría
FamiliaRegression modelRegression model
Año de origen1998 (structural break GLS formalization)1992
Autor originalBai & Perron (1998); GLS framework by Aitken (1936)Eric Zivot and Donald W. K. Andrews
TipoRegression estimatorUnit root test with endogenous structural break
Fuente seminalBai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. 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 ↗
AliasGLS with structural breaks, break-adjusted GLS, structural change GLS, regime-switching GLSZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test
Relacionados66
ResumenStructural Break GLS combines Generalized Least Squares estimation with explicit allowance for regime shifts in the data-generating process. The method estimates separate coefficient vectors for each segment defined by detected break dates while correcting for non-spherical errors — heteroscedasticity or autocorrelation — that frequently accompany structural change, yielding consistent and efficient estimates across all regimes.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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  3. PUBLISHED

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ScholarGateComparar métodos: Structural Break GLS · Zivot-Andrews Structural Break Test. Recuperado el 2026-06-18 de https://scholargate.app/es/compare