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Criminality in Brazilian Border Municipalities: An Analysis of Overrepresentation and Its Determinants

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  • Augusta Pelinski Raiher

    (Universidade Estadual de Ponta Grossa)

Abstract

This paper analyzes the effect of a municipality being in the “Brazilian border” on its criminality rates, focusing mainly on twin cities and the different arcs. It also identifies determinants of criminality in those municipalities. Firstly, the Propensity Score Matching Method was used to identify the existence of overrepresentation of municipalities in border areas in criminality due to their location and, next, the Spatial Tobit model was applied aiming to identify the determinants of local criminality. Our results showed that, on average, there is no effect of “being in the border” when all the municipalities in border areas and their different arcs are considered. However, when twin cities were analyzed, such effect exists and intensifies the local criminality. Regarding determinants, a difference was found between the municipalities in the Brazilian border and the country as a whole, in which economic advantages were seen to be relevant in the latter context, while the presence of the State reducing social disadvantages is vital to decrease public safety issues in border areas.

Suggested Citation

  • Augusta Pelinski Raiher, 2022. "Criminality in Brazilian Border Municipalities: An Analysis of Overrepresentation and Its Determinants," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(2), pages 727-745, November.
    • Handle: RePEc:spr:soinre:v:164:y:2022:i:2:d:10.1007_s11205-022-02964-z
    DOI: 10.1007/s11205-022-02964-z
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    References listed on IDEAS

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    1. Carolyn Heinrich & Alessandro Maffioli & Gonzalo Vázquez, 2010. "A Primer for Applying Propensity-Score Matching," SPD Working Papers 1005, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
    2. repec:diw:diwwpp:dp485 is not listed on IDEAS
    3. Shahidur R. Khandker & Gayatri B. Koolwal & Hussain A. Samad, 2010. "Handbook on Impact Evaluation : Quantitative Methods and Practices," World Bank Publications - Books, The World Bank Group, number 2693.
    4. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
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    Cited by:

    1. Xile Hui & Zeeshan Rasool & Sajid Ali & Shaukat Hussain Bhatti, 2024. "Asymmetric Impact of Pandemic Uncertainty on Drug Crimes: A Comparative Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(3), pages 741-763, July.

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