Social inequality as a vector of homicides in the States of São Paulo, Brazil

Authors

DOI:

https://doi.org/10.33448/rsd-v10i12.20237

Keywords:

Violence; Homicides; Negative binomial distribution model; Poisson model.

Abstract

Violence is one of the sad realities experienced in urban areas of the State of São Paulo. One of the questions that is tried to answer when there is an act of violence, for example homicide, is related to the causes that influenced these acts. Thus, the present work sought to define a statistical model that allows a precise description of homicide cases in the State of São Paulo, taking into account some socio-demographic indicators resulting from the 2000 census. Three scenarios of the Poisson distribution model and four scenarios of the negative binomial distribution, were adjusted. Through the Akaike Information Criterion, the model of negative binomial responses was identified as the best model for modeling homicide cases in the state, and it was found that socio-economic inequality significantly contributes to the occurrence of homicide cases in the State of São Paulo.

References

Akaike, H. (1974). A new look at the statistical model identification., IEEE Transactions on Automatic control, 19 (6):716723, doi:10.1109/TAC.1974.1100705.

Akaike, H. (1985). Prediction and entropy in Atkinson, A. C.; Fienberg, S. E. (eds.). A Celebration of Statistics. Springer, pp. 1–2.

Barros, R. P. D., Henriques, R., & Mendonça, R. (2021). Desigualdade e pobreza no Brasil: retrato de uma estabilidade inaceitável. Revista Brasileira de Ciências Sociais. 15(42 ), 123-142. doi:https://doi.org/10.1590/S0102-69092000000100009.

Burnham, K. P. & Anderson, D. R. (2002). Model Selection and Multimodel Inference: A practical information-theoretic approach (2nd ed.). Springer-Verlag.

Burnham, K. P.; Anderson, D. R. (2004). Multimodel inference: understanding AIC and BIC in Model Selection. Sociological Methods & Research, 33: 261–304, doi:10.1177/0049124104268644, S2CID 121861644.

Cameron, AC, Trivedi, PK (1998). Regression analysis of count data. New York.: Cambridge University Press.

Campello, T., Gentili, P., Rodrigues, M.. & Hoewell, G. (2018). Faces da desigualdade no Brasil: um olhar sobre os que ficam para trás. Saúde em Debate, 42, 54-66. doi:10.1590/0103-11042018s305.

Coxe, S., West, S.G. & Aiken, L.S. (2009). The Analysis of Count Data: A Gentle Introduction to Poisson Regression and Its Alternatives. Journal of Personality Assessment. 91(2), 121–136. https://doi.org/10.1080/00223890802634175.

Estrela, C. (2018). Metodologia Científica: Ciência, Ensino, Pesquisa. Editora Artes Médicas.

Gawryszewski, V. & Costa, L. (2005). Social inequality and homicide rates in Sao Paulo City, Brazil. Revista de saúde pública. 39. 191-7. 10.1590/S0034-89102005000200008.

Gill, J. L. (1987). Design and analysis of experiments in the animal and medical sciences. Ames The Iowa State University: Press. v. 1, 411p.

Hausman, J., Hall, B. H. & Griliches, Z. (1984). Econometric Models for Count Data with an Application to the Patents-R & D Relationship. Econometrica, 52(4), 909-938.

Hilbe J M. (2007). Negative binomial regression. Cambridge, UK.: Cambridge University Press.

Hilbe, J.M. (2011a). Modeling Count Data. In: Lovric M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2369

Hilbe, JM. (2011b). Negative binomial regression,2nd ed. Cambridge, UK.: Cambridge University Press.

Hong, D., Kim, J., Kim, W., Lee, Y. & Yang, H. (2005). Development of traffic accident prediction models by traffic and road characteristics urban areas. Proceedings of the Eastern Asia Society for Transportation Studies, vol 5, 2046-2061.

Johnson, N., Kotz, S. & Kemp, A. (1992). Univariate discrete distributive. New York : John Wiley & Sons.

Koche, J. C. (2011). Fundamentos de metodologia científica. Petrópolis: Vozes. http://www.brunovivas.com/wp-content/uploads/sites/10/2018/07/K%C3%B6che-Jos%C3%A9-Carlos0D0AFundamentos-de-metodologia-cient%C3%ADfica-_-teoria-da0D0Aci%C3%AAncia-e-inicia%C3%A7%C3%A3o-%C3%A0-pesquisa.pdfhttps://repositorio.ufsm.br/bitstream/handle/1/15824/Lic_Computacao_Metodologia-Pesquisa-Cientifica.pdf?sequence=1.

Ludke, M. & Andre, M. E. D. A. (2013). Pesquisas em educação: uma abordagem qualitativa. São Paulo: E.P.U.

Macedo, A. C. Paim, J. S., Da Silva, L. M. V. & Costa, M. da C. N. (2001). Violência e desigualdade social: mortalidade por homicídios e condições de vida em Salvador, Brasil. Revista de Saúde Pública. v. 35, n. 6, pp. 515-522. https://doi.org/10.1590/S0034-89102001000600004. Epub 28 Jan 2002. ISSN 1518-8787. https://doi.org/10.1590/S0034-89102001000600004.

Pekny, A. C. & Ricardo, C. M. (2017). Mapeamento dos principais desafios de violência e criminalidade no Brasil. Instituto da Paz. ANÁLISE Nº 36/2017.

Pereira A. S., Shitsuka, D. M., Parreira, FJ. & Shitsuka, R (2018). Metodologia da pesquisa científica. [free e-book]. Santa Maria/RS. Ed. UAB/NTE/UFSM.

Ramalho, J. J. Dos S. (1996). Modelos de Regressão Para Dados de Contagem. Universidade Técnica de Lisboa. Portugal.

Ross, G., & Preece, D. (1985). The Negative Binomial Distribution. Journal of the Royal Statistical Society. Series D (The Statistician), 34(3), 323-335. doi:10.2307/2987659.

Ruotti, C., Regina, F. L., De Almeida, J. F., Nasser, M. M. S. & Peres, M. F. T. (2017). A ocorrência de homicídios no município de São Paulo: mutações e tensões a partir das narrativas de moradores e profissionais. Saúde e Sociedade. v. 26, n. 4, pp. 999-1014. https://doi.org/10.1590/S0104-12902017170254. ISSN 1984-0470. https://doi.org/10.1590/S0104-12902017170254.

Sampaio, V. R. (1978.) Bananeira: características de desenvolvimento e de produção. In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 4, 1977, Salvador. Anais. Cruz das almas: SBF, 424p. p.53-57.

Winkelmann, R. (2003). Econometric analysis of count data. 4th edn. Springer: Heidelberg.

Yang, Y. (2005). Can the strengths of AIC and BIC be shared? Biometrika, 92: 937–950, doi:10.1093/biomet/92.4.937.

Yin, R. K. (2015). O estudo de caso. Porto Alegre: Bookman.

Published

17/09/2021

How to Cite

MÁQUINA, C. M. .; MARIA, E. da C. J. .; NHONGO, E. J. S. .; COME, S. F. . Social inequality as a vector of homicides in the States of São Paulo, Brazil. Research, Society and Development, [S. l.], v. 10, n. 12, p. e176101220237, 2021. DOI: 10.33448/rsd-v10i12.20237. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/20237. Acesso em: 12 nov. 2024.

Issue

Section

Human and Social Sciences