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Test strukturnog preloma Života-Endruz (Zivot-Andrews Structural Break Test)×Engle-Grangerov test kointegracije×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19921987
TvoracEric Zivot and Donald W. K. AndrewsRobert F. Engle and Clive W. J. Granger
TipUnit root test with endogenous structural breakCointegration test
Temeljni izvorZivot, 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 ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
Drugi naziviZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break testEG cointegration test, Engle-Granger two-step method, residual-based cointegration test, EG test
Srodne65
SažetakThe 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.The Engle-Granger two-step method tests whether two or more non-stationary I(1) time series share a common stochastic trend — that is, whether a linear combination of them is stationary. If cointegration is confirmed, an error-correction model (ECM) can be estimated to capture both short-run dynamics and long-run equilibrium adjustment.
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ScholarGateUporedite metode: Zivot-Andrews Structural Break Test · Engle-Granger Cointegration Test. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare