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Inequality and criminality revisited: further evidence from Brazil

Author

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  • Adolfo Sachsida
  • Mario Mendonça
  • Paulo Loureiro
  • Maria Gutierrez

Abstract

The objective of this study is to shed light on the determinants of criminality in Brazil. In order to undertake it we performed an econometric model based in panel data analysis for Brazilian states: Among the major conclusions we have an important result that income inequality plays an important role in criminality. Results also showed that unemployment and urbanization are positively related to crime factors. Based in panel data GMM methodology we found the existence of "inertial effect" on criminality. Panel data GMM estimator was also used to control the existence of endogeneity related to the variable public security. In this case, the results showed that public security spending is effective to diminishes criminality. Contrary to the common wisdom, we cannot found evidence that poverty increases violent crime. Finally considering the results from the Granger causality tests, it was possible to show that inequality causes crime in fact and not the contrary, what supports that the income inequality in an inequivocous determinant of criminality.
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  • Adolfo Sachsida & Mario Mendonça & Paulo Loureiro & Maria Gutierrez, 2010. "Inequality and criminality revisited: further evidence from Brazil," Empirical Economics, Springer, vol. 39(1), pages 93-109, August.
    • Handle: RePEc:spr:empeco:v:39:y:2010:i:1:p:93-109
    DOI: 10.1007/s00181-009-0296-4
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    Cited by:

    1. Eva-Maria Egger, 2022. "Internal Migration and Crime in Brazil," Economic Development and Cultural Change, University of Chicago Press, vol. 71(1), pages 223-259.
    2. Castillo-Manzano, José I. & Castro-Nuño, Mercedes & Fageda, Xavier, 2015. "Are traffic violators criminals? Searching for answers in the experiences of European countries," Transport Policy, Elsevier, vol. 38(C), pages 86-94.
    3. 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.
    4. Alves, Luiz G.A. & Ribeiro, Haroldo V. & Mendes, Renio S., 2013. "Scaling laws in the dynamics of crime growth rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(11), pages 2672-2679.
    5. Yu Liu & Thomas M. Fullerton Jr. & Nathan J. Ashby, 2013. "Assessing The Impacts Of Labor Market And Deterrence Variables On Crime Rates In Mexico," Contemporary Economic Policy, Western Economic Association International, vol. 31(4), pages 669-690, October.
    6. René Cabral & André Varella Mollick & Eduardo Saucedo, 2016. "Violence in Mexico and its effects on labor productivity," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(2), pages 317-339, March.
    7. William M. Bowen & Haifeng Qian, 2017. "State spending for higher education: Does it improve economic performance?," Regional Science Policy & Practice, Wiley Blackwell, vol. 9(1), pages 7-23, March.
    8. Tiago Freire, 2015. "City of God Redux: Inequality, Migration, and Violent Crime in Brazil between 1980 and 2000," ERSA conference papers ersa15p658, European Regional Science Association.
    9. Luiz G A Alves & Haroldo V Ribeiro & Ervin K Lenzi & Renio S Mendes, 2013. "Distance to the Scaling Law: A Useful Approach for Unveiling Relationships between Crime and Urban Metrics," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-8, August.
    10. Sodik Dwi Purnomo & Doni Adi Supriyo & Rusito Rusito & Teguh Anindito & Wahyu Hariadi & Damar Jati, 2023. "How Economic Indicator Drive Crime? Empirical Study in Developing Country, Indonesia," International Journal of Economics and Financial Issues, Econjournals, vol. 13(3), pages 94-99, May.
    11. Marcelo Castro & Cesar Tirso, 2023. "The impacts of the age of majority on the exposure to violent crimes," Empirical Economics, Springer, vol. 64(2), pages 983-1023, February.
    12. Kausik Chaudhuri & Payel Chowdhury & Kevin Reilly, 2013. "A New Perspective on Violent Crime Burden Index: Evidence from Indian Districts," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(2), pages 771-789, January.
    13. Amit Ghosh & Salvador Contreras, 2022. "Local Banking Market Frictions and Youth Crime: Evidence from Bank Failures," Journal of Financial Services Research, Springer;Western Finance Association, vol. 61(1), pages 43-75, February.
    14. Michal Brzezinski, 2013. "Top income shares and crime," Applied Economics Letters, Taylor & Francis Journals, vol. 20(4), pages 309-315, March.
    15. Jawadi, Fredj & Mallick, Sushanta K. & Idi Cheffou, Abdoulkarim & Augustine, Anish, 2021. "Does higher unemployment lead to greater criminality? Revisiting the debate over the business cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 448-471.
    16. Muhammad Khalid Anser & Zahid Yousaf & Abdelmohsen A. Nassani & Saad M. Alotaibi & Ahmad Kabbani & Khalid Zaman, 2020. "Dynamic linkages between poverty, inequality, crime, and social expenditures in a panel of 16 countries: two-step GMM estimates," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-25, December.
    17. Dartanto, Teguh & Otsubo, Shigeru, 2013. "Measurements and Determinants of Multifaceted Poverty:Absolute, Relative, and Subjective Poverty in Indonesia," Working Papers 54, JICA Research Institute.

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    More about this item

    Keywords

    Criminality; Inequality; Panel data model; GMM estimator; Granger causality; K42; C23; Z13;
    All these keywords.

    JEL classification:

    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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