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在死亡率下降情况多变的条件下应用李-卡特模型。

Applying Lee-Carter under conditions of variable mortality decline.

作者信息

Booth Heather, Maindonald John, Smith Len

机构信息

Demography and Sociology Program, Australian National University.

出版信息

Popul Stud (Camb). 2002 Nov;56(3):325-36. doi: 10.1080/00324720215935.

Abstract

The Lee-Carter method of mortality forecasting assumes an invariant age component and most applications have adopted a linear time component. The use of the method with Australian data is compromised by significant departures from linearity in the time component and changes over time in the age component. We modify the method to adjust the time component to reproduce the age distribution of deaths, rather than total deaths, and to determine the optimal fitting period in order to address non-linearity in the time component. In the Australian case the modification has the added advantage that the assumption of invariance is better met. For Australian data, the modifications result in higher forecast life expectancy than the original Lee-Carter method and official projections, and a 50 per cent reduction in forecast error. The model is also expanded to take account of age-time interactions by incorporating additional terms, but these are not readily incorporated into forecasts.

摘要

李氏-卡特死亡率预测方法假定年龄成分不变,且大多数应用采用了线性时间成分。该方法在澳大利亚数据上的应用受到时间成分显著偏离线性以及年龄成分随时间变化的影响。我们对该方法进行修改,调整时间成分以重现死亡的年龄分布而非总死亡人数,并确定最优拟合期以解决时间成分中的非线性问题。在澳大利亚的案例中,这种修改还有一个额外的优点,即更好地满足了不变性假设。对于澳大利亚数据,这些修改导致预测预期寿命高于原始李氏-卡特方法和官方预测,且预测误差降低了50%。该模型还通过纳入额外项来考虑年龄-时间交互作用,但这些项不易纳入预测中。

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