Abstract
Using the minimum list of indicators for measuring the social development proposed by the United Nations, this work identifies cross-national indicators of homicide by analyzing socio-economic profiles of 202 countries. Both a correlation analysis and a decision-tree analysis indicate that countries with a relatively low homicide rate are characterized by a high life expectancy of women at birth and a very low adolescent fertility rate, while countries with a relatively high homicide rate are characterized by a low to medium life expectancy of women at birth, a high women-to-men ratio, and a high women’s share of adults with HIV/AIDS. The significance of this work stems from identifying cross-national indicators of homicide that can be used to assist policymakers in designing public policies aimed at reducing homicide rates by improving social indicators.
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This work has been supported by the Asociación Mexicana de Cultura, A.C.
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Gutierrez-Garcia, J.O., Gómez de Silva Garza, A., Ramírez-Ramírez, L.L., Patiño, R., Candela, E. (2020). A Decision-Tree Analysis of the Relationship between Social Development and Homicide Rates. In: Xu, J., Ahmed, S., Cooke, F., Duca, G. (eds) Proceedings of the Thirteenth International Conference on Management Science and Engineering Management. ICMSEM 2019. Advances in Intelligent Systems and Computing, vol 1001. Springer, Cham. https://doi.org/10.1007/978-3-030-21248-3_49
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