ANÁLISE DE RISCOS COMPETITIVOS EM PREVIDÊNCIA PÚBLICA PARA UM MUNICÍPIO DO ESTADO DA PARAIBA

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Luiz Carlos SANTOS JUNIOR
Miriam Harumi TSUNEMI

Abstract

The public servants' pensions need the development of research that contributes to a better understanding of the variables related to the receipts and payments of their Institutes. The present study aims to analyze the time of municipal server stays in the public service, based on information provided by Institute of Social Security of the Municipal Servants of Cabedelo (Paraíba / Brazil) and through the use
of survival models that incorporate competitive risks. Thus, the functions of cumulative risk, survival and cumulative incidence were estimated, as well as the effects of four covariables on the time of permanence, considering the presence of ve competing causes to remove the server from the public service. Among the main results, it has been shown that the proportional models were considered adequate, being that: the older the server, and the earlier the date of admission to the service, greater the chance of leaving the
service for any of the causes; being a man in relation to women, as well as being a teacher, in relation to other categories, can increase or decrease the risk, depending on the specic cause considered. Once the biometric behavior of the analyzed group has been mapped, better predictability conditions for future commitments are provided. 

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How to Cite
SANTOS JUNIOR, L. C., & TSUNEMI, M. H. (2019). ANÁLISE DE RISCOS COMPETITIVOS EM PREVIDÊNCIA PÚBLICA PARA UM MUNICÍPIO DO ESTADO DA PARAIBA. Brazilian Journal of Biometrics, 37(2), 205–228. https://doi.org/10.28951/rbb.v37i2.374
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Articles
Author Biography

Miriam Harumi TSUNEMI, Universidade Estadual Paulista

É graduada em Estatística pela Universidade Estadual Paulista Júlio de Mesquita Filho (2001), obteve o mestrado em Estatística pela Universidade Federal de São Carlos (2003) e a titulação de doutorado pelo Instituto de Matemática e Estatística da Universidade de São Paulo (2009). Atualmente é professor assistente doutor na UNESP de Botucatu no departamento de Bioestatística.

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