השוואת שיטות

	שבר מבני WLS (ריבועים פחותים משוקללים עם תיקון שבר מבני)	ריבועי פחות משוקללים רובסטיים (Robust WLS)
תחום	אקונומטריקה	אקונומטריקה
משפחה	Regression model	Regression model
שנת המקור	1998 (break framework); WLS long-established	1964/1981
הוגה השיטה	Bai & Perron (structural break framework); WLS classical	Huber, P. J.
סוג	Weighted regression with regime shifts	Robust weighted regression
מקור מכונן	Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78.	Huber, P. J. (1981). Robust Statistics. Wiley. ISBN: 978-0471418054
כינויים	WLS with structural change, break-corrected WLS, segmented WLS, structural break weighted regression	robust weighted least squares, RWLS, heteroscedasticity-robust WLS, outlier-robust weighted regression
קשורות	5	5
תקציר	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.	Robust WLS combines weighted least squares — which corrects for known or estimated heteroscedasticity — with robust M-estimation that down-weights influential outliers. The result is a regression estimator that is simultaneously efficient under non-constant error variance and resistant to observations that would otherwise distort coefficient estimates.