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चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।

संरचनात्मक ब्रेक डब्ल्यूएलएस (संरचनात्मक ब्रेक सुधार के साथ भारित न्यूनतम वर्ग)×स्ट्रक्चरल ब्रेक ओएलएस (Structural Break OLS)×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष1998 (break framework); WLS long-established1960–1998
प्रवर्तकBai & Perron (structural break framework); WLS classicalChow (1960) for the breakpoint test; Bai & Perron (1998) for multiple break estimation
प्रकारWeighted regression with regime shiftsSegmented linear regression
मौलिक स्रोतBai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78. DOI ↗Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. DOI ↗
उपनामWLS with structural change, break-corrected WLS, segmented WLS, structural break weighted regressionOLS with structural breaks, piecewise OLS, regime-switching OLS, breakpoint regression
संबंधित56
सारांशStructural Break WLS combines Weighted Least Squares estimation with explicit detection and correction for structural breaks — abrupt regime shifts — in the data. By identifying break points and assigning observation-level weights that account for heteroscedasticity within and across regimes, the estimator delivers consistent, efficient coefficient estimates even when the error variance changes dramatically at a break.Structural Break OLS extends ordinary least squares to allow regression coefficients to shift at one or more breakpoints in time or across regimes. Rather than forcing a single coefficient vector across the entire sample, the model partitions the data and estimates a separate OLS regression within each segment, making it appropriate when economic relationships are suspected to change due to policy shifts, crises, or other structural events.
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