A hierarchical SLX model application to violent crime in Mexico

详细信息    查看全文

• 作者：Donald J. Lacombe ; Miguel Flores
• 关键词：JEL ClassificationC11 ; C21 ; C30
• 刊名：The Annals of Regional Science
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：58
• 期：1
• 页码：119-134
• 全文大小：
• 刊物类别：Business and Economics
• 刊物主题：Regional/Spatial Science; Landscape/Regional and Urban Planning; Microeconomics; Environmental Economics; Geography, general;
• 出版者：Springer Berlin Heidelberg
• ISSN：1432-0592
• 卷排序：58

文摘

In this paper, we develop a Bayesian Hierarchical Spatial Lag of X (SLX) spatial econometric model to examine the relationship between contextual factors associated with violence levels in Mexico over the period 2005–2010, a period in which violence in the country reached record levels. We provide local spillover estimates of relevant covariates at both levels of the hierarchy, i.e., the municipal and state levels in Mexico. We also provide a methodology to compare relevant models regarding the proper specification of the spatial weight matrix in these models.