Compară metode

	Regresia spațială (modelele cu decalaj spațial și cu eroare spațială)	Regresie cu prag
Domeniu	Econometrie	Econometrie
Familie	Regression model	Regression model
Anul apariției	1988	2000
Autorul original	Luc Anselin	Bruce E. Hansen
Tip	Spatial regression (cross-sectional)	Nonlinear regime-switching regression
Sursa seminală	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers.	Hansen, B. E. (2000). Sample Splitting and Threshold Estimation. Econometrica, 68(3), 575-603.
Denumiri alternative	spatial econometrics, spatial lag model, spatial error model, SAR / SEM	threshold model, regime-switching regression, sample splitting model, Eşik Değer Regresyonu (Threshold Regression)
Înrudite	5	5
Rezumat	Spatial regression is a family of regression models that build geographic neighbourhood relationships directly into the model, introduced by Luc Anselin in his 1988 treatment of spatial econometrics. It splits into a spatial lag model, where spatial dependence sits in the dependent variable, and a spatial error model, where the dependence sits in the error term.	Threshold regression is a nonlinear, regime-switching model in which the regression parameters take different values above and below an estimated threshold value of a threshold variable. The sample-splitting and threshold-estimation framework was developed by Bruce E. Hansen (2000) and is widely used for time-series and panel data with structural breaks and regime-dependent relationships.