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Strukturni prekid GLS×Test strukturnog preloma Života-Endruz (Zivot-Andrews Structural Break Test)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1998 (structural break GLS formalization)1992
TvoracBai & Perron (1998); GLS framework by Aitken (1936)Eric Zivot and Donald W. K. Andrews
TipRegression estimatorUnit root test with endogenous structural break
Temeljni izvorBai, 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 ↗
Drugi naziviGLS 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
Srodne66
SažetakStructural 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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ScholarGateUporedite metode: Structural Break GLS · Zivot-Andrews Structural Break Test. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare