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Executive branch federal civil servant mortality by sex and educational level - 1993/2014

机译:行政部门按性别和教育程度划分的联邦公务员死亡率-1993/2014

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Life tables have been elaborated throughout much of human history. However, the first life table to use actuarial concepts was only constructed in 1815 by Milne for the city of Carlisle in England. Since then, numerous tables have been elaborated for different regions and countries, due to their crucial importance for analyzing various types of problems covering a vast range of possibilities, from actuarial studies to forecasting and evaluating demands in order to define public policies. The most common problem nowadays in an actuarial calculation is choosing a suitable table for a given population. Brazil has few specific tables for the pensions market and has been using imported tables that refer to other countries, with different cultures and different mortality experiences. Using data from the Integrated Human Resource Administration System, this table constructs life tables for Executive branch federal civil servants for the period from 1993 to 2014, disaggregated for sex, age, and educational level (high school and university). The international literature has recognized differences in mortality due to sex, socioeconomic differences, and occupation. The creation of the Complementary Pension Foundation for Federal Public Servants in 2013 requires specific mortality tables for this population to support actuarial studies, healthcare, and personnel policies. A mathematical equation is fitted to the data. This equation can be broken down into infant mortality (not present in the data), mortality from external causes, and mortality from senescence. Recent results acknowledging an upper limit for old age mortality are incorporated into the adjusted probabilities of death. Assuming a binomial distribution for deaths, the deviance was used as a figure of merit to evaluate the goodness of fit of the observed data both to a set of tables used by the insurance/pensions market and to the adjusted tables.
机译:生命表已在整个人类历史中详尽阐述。然而,最早使用精算概念的生命表是米尔恩于1815年为英格兰的卡莱尔市建造的。从那时起,针对不同地区和国家制定了许多表格,因为它们对于分析各种问题具有至关重要的意义,涵盖了从精算研究到预测和评估需求以定义公共政策的各种可能性。如今,精算中最常见的问题是为给定的人口选择合适的表格。巴西几乎没有针对养老金市场的具体表格,并且一直在使用涉及其他国家的进口表格,这些表格具有不同的文化和不同的死亡率经验。该表使用综合人力资源管理系统中的数据,为行政部门联邦公务员构建了1993年至2014年的生命表,并按性别,年龄和文化程度(高中和大学)分类。国际文献已经认识到由于性别,社会经济差异和职业造成的死亡率差异。 2013年,联邦公务员补充养老金基金会的成立要求该人群具有特定的死亡率表,以支持精算研究,医疗保健和人事政策。将数学方程式拟合到数据。该方程式可以分解为婴儿死亡率(数据中未显示),外部原因的死亡率和衰老的死亡率。承认老年死亡率上限的最新结果已纳入调整后的死亡概率。假设死亡人数为二项式分布,则将偏差用作评价指标,以评估观察到的数据与保险/养老金市场使用的一组表格以及调整后的表格的拟合度。

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