Terblanche Wilma, Wilson Tom
Queensland Centre for Population Research, School of Geography, Planning and Environmental Management, The University of Queensland, Brisbane, Queensland, Australia.
Advanced Demographic Modelling, New Farm, Brisbane, Queensland, Australia.
PLoS One. 2015 Apr 7;10(4):e0123692. doi: 10.1371/journal.pone.0123692. eCollection 2015.
The rapid growth of very elderly populations requires accurate population estimates up to the highest ages. However, it is recognised that estimates derived from census counts are often unreliable. Methods that make use of death data have not previously been evaluated for Australia and New Zealand. The aim was to evaluate a number of nearly-extinct cohort methods for producing very elderly population estimates by age and sex for Australia and New Zealand. The accuracy of official estimates was also assessed. Variants of three nearly-extinct cohort methods, the Survivor Ratio method, the Das Gupta method and a new method explicitly allowing for falling mortality over time, were evaluated by retrospective application over the period 1976-1996. Estimates by sex and single years of age were compared against numbers derived from the extinct cohort method. Errors were measured by the Weighted Mean Absolute Percentage Error. It is confirmed that for Australian females the Survivor Ratio method constrained to official estimates for ages 90+ performed well. However, for Australian males and both sexes in New Zealand, more accurate estimates were obtained by constraining the Survivor Ratio method to official estimates for ages 85+. Official estimates in Australia proved reasonably accurate for ages 90+ but at 100+ they varied significantly in accuracy from year to year. Estimates produced by Statistics New Zealand in aggregate for ages 90+ proved very accurate. We recommend the use of the Survivor Ratio method constrained to official estimates for ages 85+ to create very elderly population estimates for Australia and New Zealand.
高龄人口的快速增长需要对最高年龄组进行准确的人口估计。然而,人们认识到,基于人口普查计数得出的估计往往不可靠。此前尚未对澳大利亚和新西兰利用死亡数据的方法进行评估。目的是评估一些几乎不再使用的队列方法,以便按年龄和性别对澳大利亚和新西兰的高龄人口进行估计。同时还评估了官方估计的准确性。通过对1976 - 1996年期间进行回顾性应用,对三种几乎不再使用的队列方法的变体,即生存比率法、达斯古普塔法以及一种明确考虑到死亡率随时间下降的新方法进行了评估。将按性别和单一年龄的估计与从灭绝队列法得出的数字进行比较。误差通过加权平均绝对百分比误差来衡量。结果证实,对于澳大利亚女性,将生存比率法限制在官方对90岁及以上年龄的估计范围内表现良好。然而,对于澳大利亚男性以及新西兰的男性和女性,将生存比率法限制在官方对85岁及以上年龄的估计范围内能获得更准确的估计。澳大利亚官方对90岁及以上年龄的估计在一定程度上较为准确,但在100岁及以上年龄,其准确性逐年差异显著。新西兰统计局对90岁及以上年龄的总体估计非常准确。我们建议采用将生存比率法限制在官方对85岁及以上年龄的估计范围内的方法,来对澳大利亚和新西兰的高龄人口进行估计。