Title :
2SLS estimation for the GWR-SL model
Author :
Yanling, Huang ; Long, Zhi-He
Author_Institution :
Sch. of Econ. & Commerce, South China Univ. of Technol., Guangzhou, China
Abstract :
This paper set up a 2SLS framework to estimate and infer GWR-SL model (Geographically Weighted Regression with Spatially Lagged Objective Variable Model). 2SLS estimates can effectively reduce the computational complexity, and solved the unknown error distribution restrictions, expanding the GWR-SL model´s estimation method.
Keywords :
computational complexity; econometrics; regression analysis; 2SLS estimation; GWR-SL model; computational complexity; geographically weighted regression; spatially lagged objective variable model; unknown error distribution restrictions; Computational modeling; Economics; Equations; Instruments; Mathematical model; Maximum likelihood estimation; 2SLS estimate; GWR-SL model; Spatial heteroscedasticity; spatial correlation;
Conference_Titel :
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4577-1700-0
DOI :
10.1109/TMEE.2011.6199557
