ML Estimation of Spatial Panel Data Geographically Weighted Regression Model

摘要：

In this article, the data base of Geographically Weighted Regression (shorted for GWR) model was expanded to panel data. Based on local bandwidth theory, spatial panel data GWR model Maximum Likelihood (ML) estimation , which is under the specification of pooled effect,fixed effects, and random effects, was also deduced in this article, as solved the problem that GWR model can only be used with the cross-sectional data and covered the flaw of global bandwidth insufficiency, so that the estimation could go better with economic actuality.

作者: Zhipeng Lin

作者单位: School of Economics and Commerce, South China University of Technology Guangzhou, China

会议类型: 国际会议

会议名称: International Conference on Management and Service Science(2011年第五届管理与服务科学国际会议 MASS 2011)

会议地点: 武汉

会议语种:英文

页码: 1-4

在线出版日期: 2011-08-12（万方平台首次上网日期，不代表论文的发表时间）