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一组人群的连贯死亡率预测:李-卡特方法的扩展

Coherent mortality forecasts for a group of populations: an extension of the Lee-Carter method.

作者信息

Li Nan, Lee Ronald

机构信息

Terry Sanford Institute of Public Policy, Duke University, Durham, NC 27708, USA.

出版信息

Demography. 2005 Aug;42(3):575-94. doi: 10.1353/dem.2005.0021.

Abstract

Mortality patterns and trajectories in closely related populations are likely to be similar in some respects, and differences are unlikely to increase in the long run. It should therefore be possible to improve the mortality forecasts for individual countries by taking into account the patterns in a larger group. Using the Human Mortality Database, we apply the Lee-Carter model to a group of populations, allowing each its own age pattern and level of mortality but imposing shared rates of, change by age. Our forecasts also allow divergent patterns to continue for a while before tapering off. We forecast greater longevity gains for the United States and lesser ones for Japan relative to separate forecasts.

摘要

在关系密切的人群中,死亡率模式和轨迹在某些方面可能相似,从长远来看差异不太可能增加。因此,通过考虑更大群体的模式,应该有可能改进对各个国家的死亡率预测。利用人类死亡率数据库,我们将李-卡特模型应用于一组人群,允许每个群体有自己的年龄模式和死亡率水平,但规定按年龄划分的共同变化率。我们的预测还允许不同的模式在趋于平缓之前持续一段时间。相对于单独的预测,我们预测美国的预期寿命增长幅度更大,而日本的增长幅度较小。

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