The Annals of Regional Science

, Volume 58, Issue 1, pp 119–134

A hierarchical SLX model application to violent crime in Mexico

Original Paper

DOI: 10.1007/s00168-016-0788-z

Cite this article as:
Lacombe, D.J. & Flores, M. Ann Reg Sci (2017) 58: 119. doi:10.1007/s00168-016-0788-z

Abstract

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.

JEL Classification

C11 C21 C30 

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Department of Personal Financial PlanningTexas Tech UniversityLubbockUSA
  2. 2.School of Government and Public TransformationITESMSan Pedro Garza GarciaMexico

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