Spatial Dependence of Crime in Monterrey, Mexico

This paper studies the impact that the characteristics of the environment have on crime using neighborhood aggregate data of the Monterrey Metropolitan Area for the year 2010. Data spatial autocorrelation is corroborated, i.e. neighborhoods with high crime rates have a positive impact on the crime r...

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Bibliographic Details
Published inEcos de economía Vol. 18; no. 38; pp. 63 - 92
Main Authors Ernesto Aguayo Téllez, Medellín Mendoza, Sandra Edith
Format Journal Article
LanguageEnglish
Published Medellin UNIVERSIDAD EAFIT 01.01.2014
Universidad EAFIT
Subjects
autocorrelación espacial
Crime
delincuencia
Economic theory
efectos de vecindario
Metropolitan areas
Neighborhoods
Social conditions & trends
Studies
Mexico
Monterrey Mexico
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Summary:This paper studies the impact that the characteristics of the environment have on crime using neighborhood aggregate data of the Monterrey Metropolitan Area for the year 2010. Data spatial autocorrelation is corroborated, i.e. neighborhoods with high crime rates have a positive impact on the crime rates of its surrounding neighborhoods. Once it was controlled through the bias caused by spatial autocorrelation and data censoring, it is evidenced that the likelihood of being a crime victim and the probability of becoming an offender is positively related to variables such as unemployment, the percentage of young men and the existence of schools, hospitals or markets in the neighborhood.
ISSN:1657-4206
2462-8107