So sánh phương pháp

	Mô hình Sai số Không gian Toàn cục (SEM)	Mô hình Durbin Không gian Toàn cục (SDM)
Lĩnh vực	Phân tích không gian	Phân tích không gian
Họ	Regression model	Regression model
Năm ra đời	1988	2009
Người khởi xướng	Luc Anselin	Durbin (1960); adapted to spatial context by LeSage & Pace (2009)
Loại	Spatial regression model	Spatial regression model
Công trình gốc	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737322	LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247
Tên gọi khác	SEM, spatial error model, spatial error regression, global SEM	SDM, Spatial Durbin Model, global SDM, spatially lagged X model with spatial lag
Liên quan	5	5
Tóm tắt	The Global Spatial Error Model (SEM) is a spatial regression technique that accounts for spatially autocorrelated error terms using a single, globally constant spatial parameter. It separates genuine predictor effects from spatial nuisance dependence in the residuals, yielding unbiased and efficient coefficient estimates when spatial error correlation is present across all observations.	The Global Spatial Durbin Model extends the spatial lag model by including not only a spatially lagged dependent variable but also spatially lagged independent variables (WX). A single set of global coefficients applies uniformly across all locations, making it suitable for estimating average spillover effects when spatial dependence is pervasive throughout the study region.