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Comparison of Lee Carter Model and Cairns, Blake and Dowd Model in Forecasting Malaysian Higher Age Mortality

机译:李卡特模型与凯恩斯,布莱克和落地模型预测马来西亚高龄死亡率的比较

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Demographers and actuaries are very much conscious of the trend of mortality in their own country or in the world in general. This is because mortality is the basis for longevity risk evaluation. Mortality is showing a declining trend and it is expected to further decline in the future. This will lead to continuous increase in life expectancy. Several stochastic models have been developed throughout the years to capture mortality and its variability. This includes Lee Carter (LC) model which has been extended by various researchers. This paper will be focusing on comparing LC model and another mortality model proposed by Cairns, Blake and Dowd (CBD). The LC uses the log of central rate of mortality and CBD uses logit of the mortality odds as dependent variable. Analysis of comparison is done using a few techniques including Akaike information criteria (AIC) and Bayesian information criterion (BIC). From the overall results, there is no model better than the other in every aspect tested. We illustrate this via visual inspection and in sample and outof sample analysis usingMalaysianmortality data from 1980 to 2017.
机译:人口统计学家和altuaries非常意识到他们自己的国家或世界上的死亡率的趋势。这是因为死亡率是寿命风险评估的基础。死亡率表现出趋势下降,预计将来进一步下降。这将导致预期寿命不断增加。多年来已经开发了几个随机模型,以捕获死亡率及其变异性。这包括由各种研究人员延伸的Lee Carter(LC)模型。本文将集中于比较LC模型及其凯恩斯,布莱克和陶笛(CBD)提出的另一种死亡率模型。 LC使用中央死亡率的日志,CBD使用死亡率的Logit作为依赖变量。使用包括Akaike信息标准(AIC)和贝叶斯信息标准(BIC)的少数技术进行比较分析。从整体结果中,在测试的每个方面都没有比另一个更好的模型。我们通过目视检查和样本分析,从1980年到2017年使用了MalaysianMortiality数据的样本和外部样本分析。

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