Procrustes Analysis of Indonesian Mortality Table Iv and Indonesia's Death Rate During Covid-19 Pandemic

Fanny Novika, Revi Meliyani
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引用次数: 3

Abstract

The level of accuracy to calculate the premium is one of the main points for an actuary to determine the criteria of product which is offered by an insurance company to customers. The main reference in this accuracy is the mortality table. The last mortality table made by AAJI (Asosiasi Asuransi Jiwa Indonesia) was Mortality Table Indonesia (MTI) IV which was published in 2019. However, unexpectedly, the Covid-19 pandemic occurred in early 2020 which caused the death rate to be higher than normal situation. This study aims to compare MTI IV which was made with assumptions before the Covid-19 pandemic according to the death rate in Indonesia during the Covid-19 pandemic. This study uses secondary data, by finding the probability of death in Indonesia by calculating the death rate in Indonesia based on population data according to age group classifications obtained from BPS (Badan Pusat Statistik) Indonesia. Furthermore, both data were compared using Procrustes analysis to calculated the level of conformity. The results showed that 75.97% of the data matched MTI IV with the death rate during the pandemic. If the insurance company wants more accurate results, they can be adjusted to the Indonesian Mortality Table using data during the pandemic. If it is quite satisfied with the accuracy of 75.97%, the company can continue to use MTI IV.
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Covid-19大流行期间印度尼西亚死亡率表四和印度尼西亚死亡率的Procrustes分析
计算保费的准确性水平是精算师确定保险公司向客户提供的产品标准的要点之一。这种准确性的主要参考是死亡率表。AAJI (Asosiasi Asuransi Jiwa Indonesia)制作的最后一个死亡率表是2019年出版的《印度尼西亚死亡率表(MTI) IV》。然而,出人意料的是,新冠肺炎大流行发生在2020年初,导致死亡率高于正常情况。本研究旨在根据Covid-19大流行期间印度尼西亚的死亡率,将MTI IV与Covid-19大流行之前的假设进行比较。本研究使用二手数据,根据从印度尼西亚BPS (Badan Pusat statistics)获得的年龄组分类,根据人口数据计算印度尼西亚的死亡率,从而发现印度尼西亚的死亡概率。此外,使用Procrustes分析对两个数据进行比较,以计算符合性水平。结果表明,75.97%的数据与大流行期间的MTI IV死亡率相匹配。如果保险公司想要更准确的结果,可以使用大流行期间的数据根据印度尼西亚死亡率表进行调整。如果对75.97%的准确率相当满意,公司可以继续使用MTI IV。
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