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संरचनात्मक ब्रेक यादृच्छिक प्रभाव मॉडल×ज़िवोट-एंड्रयूज संरचनात्मक ब्रेक परीक्षण×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष1998–2000s1992
प्रवर्तकBai & Perron (break detection); Baltagi (panel RE framework)Eric Zivot and Donald W. K. Andrews
प्रकारPanel regression with regime shiftsUnit root test with endogenous structural break
मौलिक स्रोतBai, 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 ↗
उपनामRE model with structural breaks, break-adjusted random effects, random effects break model, panel RE with regime shiftsZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test
संबंधित56
सारांशThe structural break random effects model extends standard panel RE estimation by allowing one or more breakpoints at which slope coefficients or error variances shift across time. It combines structural change detection (e.g., Bai-Perron) with the GLS-based random effects estimator, producing regime-specific parameter estimates while retaining the efficiency gains of pooling individual-level variation as random draws from a common distribution.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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