A hierarchical SLX model application to violent crime in Mexico

Donald J. Lacombe () and Miguel Flores
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Donald J. Lacombe: Texas Tech University

The Annals of Regional Science, 2017, vol. 58, issue 1, No 5, 119-134

Abstract: 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-codes: C11 C21 C30 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s00168-016-0788-z

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