Prior research reports mixed results regarding the economic impacts of crime. This study employs data from all regions of Mexico, including border regions in both the north and the south, to examine the effects of homicides on retail activity across Mexico during a period of escalating violence. The results indicate that one additional homicide within a municipality eliminates one retail establishment and one paid job in the retail sector. Furthermore, the negative consequences of violent crime for retailers are augmented by proximity to an international border. This is consistent with previous research findings that cross-border shopping is a key feature of commerce along the international boundaries of Mexico. It suggests that crime waves may disproportionately impact border city retail activity by partially diverting customer traffic to stores located in neighboring countries. This result is also consistent with the finding of recent research that violent conflict in northern Mexico resulted in increased retail activity in some United States border cities.

Real estate property value analysis is used for municipal taxation and budgeting. Commercial properties make up a large percentage of the property tax base in many, if not most, taxing jurisdictions. Data constraints limit the number of analyses conducted on commercial property value patterns. This study employs a fairly extensive data set to address that problem in the context of El Paso, Texas, a large metropolitan economy located on the United States border with Mexico. The sample contains data for 105,611 commercial real estate parcels. Empirical analysis is conducted using geographically weighted regression analysis. Results confirm that parameter estimation for the commercial property data in this sample should be conducted using methodologies that allow for spatial autocorrelation and heteroscedasticity.

Since the emergence of middle schools as distinct educational settings in the 1960s, proponents of the model have advocated for structures and approaches that best meet the particular developmental needs of young adolescents. Middle school researchers have developed frameworks of best practices for schools that have been widely, if not uniformly, adopted. However, there is a paucity of large-scale quantitative research on the efficacy of such best practices. In this study we used state-level administrative data from Texas to estimate the school-level contribution to standardized test scores in math and language arts, along with absenteeism. We then regressed these value-added quantities on indicators of middle school structures, along with research-supported predictors of school efficacy. Results showed that schools with fewer classes in the school day and higher quality teachers performed better, among other indicators. Findings from models using the campus contribution to absenteeism were similar. These results indicate that while elements of the middle school model may help transform individual schools, the equitable distribution of resources and the undoing of de facto segregation are vital to the success of all young adolescents.