Bandingkan metode

	Regresi Spasial (Model Lag Spasial dan Error Spasial)	Regresi Ambang Batas
Bidang	Ekonometrika	Ekonometrika
Keluarga	Regression model	Regression model
Tahun asal	1988	2000
Pencetus	Luc Anselin	Bruce E. Hansen
Tipe	Spatial regression (cross-sectional)	Nonlinear regime-switching regression
Sumber perintis	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.
Alias	spatial econometrics, spatial lag model, spatial error model, SAR / SEM	threshold model, regime-switching regression, sample splitting model, Eşik Değer Regresyonu (Threshold Regression)
Terkait	5	5
Ringkasan	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.