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Sex-specific mortality forecasting for UK countries: a coherent approach

机译:英国国家特定性别的死亡率预测:一致的方法

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摘要

This paper introduces a gender specific model for the joint mortality projection of three countries (England and Wales combined, Scotland, and Northern Ireland) of the United Kingdom. The model, called 2-tier Augmented Common Factor model, extends the classical Lee and Carter [] and Li and Lee [] models, with a common time factor for the whole UK population, a sex specific period factor for males and females, and a specific time factor for each country within each gender. As death counts in each subpopulation are modelled directly, a Poisson framework is used. Our results show that the 2-tier ACF model improves the in-sample fitting compared to the use of independent LC models for each subpopulation or of independent Li and Lee models for each couple of genders within each country. Mortality projections also show that the 2-tier ACF model produces coherent forecasts for the two genders within each country and different countries within each gender, thus avoiding the divergence issues arising when independent projections are used. The 2-tier ACF is further extended to include a cohort term to take into account the faster improvements of the UK ‘golden generation’.
机译:本文介绍了针对英国三个国家(英格兰和威尔士合并,苏格兰和北爱尔兰)的联合死亡率预测的特定性别模型。该模型称为2层增强公共因子模型,它扩展了经典的Lee and Carter []和Li and Lee []模型,具有整个英国人口的公共时间因子,男女的性别特定时期因子,以及每个国家每个性别的特定时间因素。由于直接对每个亚群中的死亡计数进行建模,因此使用了Poisson框架。我们的结果表明,与在每个国家/地区针对每个亚群使用独立的LC模型或针对每个性别的独立Li和Lee模型使用2层ACF模型相比,改进了样本内拟合。死亡率预测还表明,两层ACF模型可以为每个国家内的两个性别以及每个性别内的不同国家提供一致的预测,从而避免了使用独立预测时出现的分歧问题。考虑到英国“黄金一代”的快速发展,对2层ACF进行了进一步扩展,以包括一个同类词。

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