A DESIGUALDADE DE RENDA E A EDUCAÇÃO PODEM EXPLICAR A CRIMINALIDADE?: uma análise para os estados brasileiros

This study aims to understand the Economics of Crime, an issue very relevant today in Brazilian states. From theoretical and empirical research and test, it will analyze the hypothesis that the homicide rate is positively related to the level of income inequality and negatively with the level of edu...

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Main Authors: Renata Costa de Carvalho, Fernando Henrique Taques
Format: Article
Language:English
Published: Universidade Federal do Maranhão 2014-01-01
Series:Revista de Políticas Públicas
Subjects:
Online Access:http://www.redalyc.org/articulo.oa?id=321133267002
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spelling doaj-4ab57b2e4938458881d1a9b4039a7a3c2021-10-08T16:08:08ZengUniversidade Federal do MaranhãoRevista de Políticas Públicas2178-28652014-01-01182343357A DESIGUALDADE DE RENDA E A EDUCAÇÃO PODEM EXPLICAR A CRIMINALIDADE?: uma análise para os estados brasileirosRenata Costa de CarvalhoFernando Henrique TaquesThis study aims to understand the Economics of Crime, an issue very relevant today in Brazilian states. From theoretical and empirical research and test, it will analyze the hypothesis that the homicide rate is positively related to the level of income inequality and negatively with the level of education, expenses with security and income. The test will be conducted for all states, except the Federal District, in the nine years between 2001 and 2009. The methodology is based on the econometric model on panel data with fixed effects and random effects estimator which model was used in the Ordinary Minimum Square (OLS). As the result has found that the fixed effects model showed the most meaningful statistics, the random effects model showed the expected sign on its coefficient in 50 % of the explanatory variables, while the Hausman test proved that the random effect model is better to explain the hypothesis.http://www.redalyc.org/articulo.oa?id=321133267002crimesafety expensespanel data
collection DOAJ
language English
format Article
sources DOAJ
author Renata Costa de Carvalho
Fernando Henrique Taques
spellingShingle Renata Costa de Carvalho
Fernando Henrique Taques
A DESIGUALDADE DE RENDA E A EDUCAÇÃO PODEM EXPLICAR A CRIMINALIDADE?: uma análise para os estados brasileiros
Revista de Políticas Públicas
crime
safety expenses
panel data
author_facet Renata Costa de Carvalho
Fernando Henrique Taques
author_sort Renata Costa de Carvalho
title A DESIGUALDADE DE RENDA E A EDUCAÇÃO PODEM EXPLICAR A CRIMINALIDADE?: uma análise para os estados brasileiros
title_short A DESIGUALDADE DE RENDA E A EDUCAÇÃO PODEM EXPLICAR A CRIMINALIDADE?: uma análise para os estados brasileiros
title_full A DESIGUALDADE DE RENDA E A EDUCAÇÃO PODEM EXPLICAR A CRIMINALIDADE?: uma análise para os estados brasileiros
title_fullStr A DESIGUALDADE DE RENDA E A EDUCAÇÃO PODEM EXPLICAR A CRIMINALIDADE?: uma análise para os estados brasileiros
title_full_unstemmed A DESIGUALDADE DE RENDA E A EDUCAÇÃO PODEM EXPLICAR A CRIMINALIDADE?: uma análise para os estados brasileiros
title_sort desigualdade de renda e a educação podem explicar a criminalidade?: uma análise para os estados brasileiros
publisher Universidade Federal do Maranhão
series Revista de Políticas Públicas
issn 2178-2865
publishDate 2014-01-01
description This study aims to understand the Economics of Crime, an issue very relevant today in Brazilian states. From theoretical and empirical research and test, it will analyze the hypothesis that the homicide rate is positively related to the level of income inequality and negatively with the level of education, expenses with security and income. The test will be conducted for all states, except the Federal District, in the nine years between 2001 and 2009. The methodology is based on the econometric model on panel data with fixed effects and random effects estimator which model was used in the Ordinary Minimum Square (OLS). As the result has found that the fixed effects model showed the most meaningful statistics, the random effects model showed the expected sign on its coefficient in 50 % of the explanatory variables, while the Hausman test proved that the random effect model is better to explain the hypothesis.
topic crime
safety expenses
panel data
url http://www.redalyc.org/articulo.oa?id=321133267002
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