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Erschienen in: The Annals of Regional Science 1/2017

20.09.2016 | Original Paper

A hierarchical SLX model application to violent crime in Mexico

verfasst von: Donald J. Lacombe, Miguel Flores

Erschienen in: The Annals of Regional Science | Ausgabe 1/2017

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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.

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Fußnoten
1
The only exception is the level 2 variable joint operations, which is a dummy variable.
 
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Metadaten
Titel
A hierarchical SLX model application to violent crime in Mexico
verfasst von
Donald J. Lacombe
Miguel Flores
Publikationsdatum
20.09.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
The Annals of Regional Science / Ausgabe 1/2017
Print ISSN: 0570-1864
Elektronische ISSN: 1432-0592
DOI
https://doi.org/10.1007/s00168-016-0788-z

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