M. R. Gonzaga, E. Lima, B. Queiroz, Graziela Ansiliero, F. Freire
{"title":"Mortality differentials in beneficiaries of the National Institute of Social Security of Brazil in 2015","authors":"M. R. Gonzaga, E. Lima, B. Queiroz, Graziela Ansiliero, F. Freire","doi":"10.1590/1808-057x20221556.en","DOIUrl":null,"url":null,"abstract":"ABSTRACT This paper aims to estimate mortality and analyze its differentials by sex, age, and groups of beneficiaries of the Brazilian National Institute of Social Security (INSS) in 2015 and make comparisons with official estimates for the general population, assessing the distribution of deaths by age and of survival after 65 years old. The results reinforce the need for more studies on mortality differentials between beneficiary groups and for continuous investment to improve the quality of the data. Population aging, among other aspects, puts pressure on the Brazilian social security system, and there is real concern about its sustainability. Life tables by population subgroups are fundamental as a tool for analyzing the financial and actuarial equilibrium of the system. The results contribute to the debate on the mortality differentials between groups of beneficiaries of the general pension and social security system in Brazil. The death and population data derive from the administrative records of the INSS. We used Gompertz and Van de Maen models and Topals regression to estimate the mortality rates above the age of 65, according to the following beneficiary groups: retirees through age of the General Social Security Regime (Regime Geral de Previdência Social - RGPS) - disaggregated by urban and rural clienteles; retirees through period of contribution; and beneficiaries of welfare support for low income seniors. Among the main results, it was possible to minimize the crossover in the mortality rates of older ages, when the mortality of the less advantaged population becomes lower than the mortality of populations with better social indicators. Cross-checking the results with the official mortality estimates, it was observed that life expectancies for the 65 and 75 year old age groups of the target population of this study are higher than in the general population.","PeriodicalId":251378,"journal":{"name":"Revista Contabilidade & Finanças","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Contabilidade & Finanças","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/1808-057x20221556.en","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
ABSTRACT This paper aims to estimate mortality and analyze its differentials by sex, age, and groups of beneficiaries of the Brazilian National Institute of Social Security (INSS) in 2015 and make comparisons with official estimates for the general population, assessing the distribution of deaths by age and of survival after 65 years old. The results reinforce the need for more studies on mortality differentials between beneficiary groups and for continuous investment to improve the quality of the data. Population aging, among other aspects, puts pressure on the Brazilian social security system, and there is real concern about its sustainability. Life tables by population subgroups are fundamental as a tool for analyzing the financial and actuarial equilibrium of the system. The results contribute to the debate on the mortality differentials between groups of beneficiaries of the general pension and social security system in Brazil. The death and population data derive from the administrative records of the INSS. We used Gompertz and Van de Maen models and Topals regression to estimate the mortality rates above the age of 65, according to the following beneficiary groups: retirees through age of the General Social Security Regime (Regime Geral de Previdência Social - RGPS) - disaggregated by urban and rural clienteles; retirees through period of contribution; and beneficiaries of welfare support for low income seniors. Among the main results, it was possible to minimize the crossover in the mortality rates of older ages, when the mortality of the less advantaged population becomes lower than the mortality of populations with better social indicators. Cross-checking the results with the official mortality estimates, it was observed that life expectancies for the 65 and 75 year old age groups of the target population of this study are higher than in the general population.
本文旨在估计2015年巴西国家社会保障局(INSS)按性别、年龄和受益人群体划分的死亡率,并分析其差异,并与官方估计的一般人群进行比较,评估按年龄划分的死亡分布和65岁后的生存率。结果表明,需要对受益群体之间的死亡率差异进行更多的研究,并需要继续投资以提高数据的质量。人口老龄化以及其他方面给巴西的社会保障体系带来了压力,人们确实担心其可持续性。按人口分组划分的生命表是分析系统财务和精算平衡的基本工具。这些结果有助于就巴西一般养恤金和社会保障制度受益人群体之间的死亡率差异进行辩论。死亡和人口数据来自国家统计局的行政记录。我们使用Gompertz和Van de Maen模型和Topals回归来估计65岁以上的死亡率,根据以下受益人群体:根据城市和农村客户分类的一般社会保障制度(Regime General de Previdência Social - RGPS)年龄的退休人员;供款期间的退休人员;以及低收入老年人福利支持的受益者。在主要结果中,当条件较差的人口的死亡率低于社会指标较好的人口的死亡率时,可以尽量减少老年人死亡率的交叉。将结果与官方死亡率估计交叉核对后发现,本研究目标人群中65岁和75岁年龄组的预期寿命高于一般人群。