K. Tiedemann (Canada)
Firearm deaths, regression models, two-stage least squares.
Over the past decade, Brazil has become one of the most violent societies in the world, with death rates from firearms regularly exceeded only in Columbia and El Salvador. In some slums or favelas, drug gangs have become the de facto authorities, and police activity is limited to sporadic raids with only limited ongoing presence. The purpose of this study is to provide an analysis of the determinants of firearm deaths in Brazil. This study uses cross-section analysis of state level data to model the impact of the costs and benefits of crime to criminals on firearm deaths in Brazil. Both ordinary least squares and two-stage least squares models are estimated, with the latter allowing for the possibility that the explanatory variables are determined within the model rather than being strictly exogenous.
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