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Uma Estimativa Dos Determinantes Da Taxa De Criminalidade Brasileira: Uma Aplicação Em Painel Dinâmico

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  • Leandro Kume

Abstract

Using a panel data for Brazilian states in the period 1984-1998, we estimate the determinants of Brazilian crime rate. The estimates was derived by System Generalized Method of Moments propose by Blundell and Bond (1998). In this way, it was possible to avoid econometric problems, that affect the majority of the works in this area, such as endogeneity and measure of error generated by the subnotification on crime rates. The results show that inequality and crime rates of the previous period have positive effect on crime rate of the present period, while the per capita GDP, the level of schooling, the degree of urbanization and the GDP growth have a negative effect. Moreover, the use of the First Difference Generalized Method of Moments estimator (Arellano and Bond, 1991), in this case, did not reveal to be appropriated due to weak presence of weak instruments. The coefficient was below the Within-Groups estimator. The use of System MGM show to be more informative in terms of bias and efficiency.

Suggested Citation

  • Leandro Kume, 2004. "Uma Estimativa Dos Determinantes Da Taxa De Criminalidade Brasileira: Uma Aplicação Em Painel Dinâmico," Anais do XXXII Encontro Nacional de Economia [Proceedings of the 32nd Brazilian Economics Meeting] 148, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  • Handle: RePEc:anp:en2004:148
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    File URL: http://www.anpec.org.br/encontro2004/artigos/A04A148.pdf
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    Cited by:

    1. Barros, Pedro Henrique Batista de & Baggio, Isadora Salvalaggio & Stege, Alysson Luiz & Hilgemberg, Cleise Maria de Almeida Tupich, 2019. "Economic development and crime in Brazil: a multivariate and spatial analysis," Revista Brasileira de Estudos Regionais e Urbanos, Associação Brasileira de Estudos Regionais e Urbanos (ABER), vol. 13(1), pages 1-22, June.

    More about this item

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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