Порівняння методів

	GLS зі структурними змінами	Зважені найменші квадрати зі структурними змінами (Structural Break WLS)
Галузь	Економетрика	Економетрика
Родина	Regression model	Regression model
Рік появи	1998 (structural break GLS formalization)	1998 (break framework); WLS long-established
Автор методу	Bai & Perron (1998); GLS framework by Aitken (1936)	Bai & Perron (structural break framework); WLS classical
Тип	Regression estimator	Weighted regression with regime shifts
Основоположне джерело	Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78.	Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78.
Інші назви	GLS with structural breaks, break-adjusted GLS, structural change GLS, regime-switching GLS	WLS with structural change, break-corrected WLS, segmented WLS, structural break weighted regression
Пов'язані	6	5
Підсумок	Structural 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.	Structural 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.