Determinantes das causas da variação na taxa de homicídios no estado de Mato Grosso (2005-2019)

Abstract

The determinants of illegal activity is a phenomenon widely discussed in several areas of knowledge, including economic sciences. The present work analyzes the elasticities of selected socioeconomic variables under the homicide rate in the State of Mato Grosso between 2005 and 2019. For this, the Ordinary Least Squares estimator is applied to the log-log regression model taking the socioeconomic variables, and others deterrents commonly used in economics of crime modeling as explanatory variables. The main results show that there are positive and negative influences for educational variables (two variables were associated with a negative sign and one variable was positive), spending on public security (negative sign) and per capita income (negative coefficient). Thus, corroborating some empirical results described in the literature that address the determinants of the homicide rate as a multi-causal phenomenon and endowed with contradictions between the explanatory variables.