LEVCHUK N. M. Age, Period, and Cohort Effects in the Long-Term Dynamics of Mortality in Ukraine

N. Levchuk
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Abstract

This study analyzes the effects of age, period, and birth cohorts on long-term mortality in Ukraine. For the first time, the APC model was used to analyze mortality in Ukraine for the 1850-2011 period and the cohorts born from 1850 to 1923. These estimations allow us to discriminate the impact of the historical and contemporary factors (at specific times) that could change the mortality rates. The following statistical methods are used: calculation of period and cohort death rates; age-period-birth cohort (APC) model that provides a method to assess the significance of the three interrelated factors (age, calendar period of death, and birth cohort) on mortality. As indicated by the results of APC analysis, the contribution of the period effect to the long-term mortality in Ukraine is likely to be larger than that of the cohort effect, and both effects are found to be more influential for men than for women. The analysis revealed intergenerational variations in death rates and inversion in cohort mortality when survival rates for the younger generations are worse than for the older generations. In particular, almost all generations born during the first half of the XX century had higher mortality rates than the reference cohort born in 1900, while lower mortality rates are found only for those born after 1945. At the same time, the overall decline in mortality among cohorts born after 1945 varied across different age groups: while death rates at the age 0 to 15 declined with each new generation, mortality in the 45 to 60 age group for younger generations tended to be higher than for older generations. The cohorts born in 1915—1925 and especially in 1917—1921 appeared to be the most disadvantaged and the hardest affected in terms of survival. A comparative analysis of the probability of dying in large age intervals for different generations showed that, first, among the cohorts of adult men who participated in World War II, those born in 1915—1925 were the most affected; second, during the First World War, the Ukrainian Revolution of 1917—1921 and the famine of 1921—1923 young and middle-aged men born in 1880—1890 suffered the greatest losses whereas the highest mortality due to Holodomor of 1932—1933 was observed among children and adolescents, as well as older persons born in the 1870s.
乌克兰死亡率长期动态的年龄、时期和队列效应
本研究分析了年龄、时期和出生队列对乌克兰长期死亡率的影响。APC模型首次用于分析乌克兰1850-2011年期间和1850- 1923年出生人群的死亡率。这些估计使我们能够区分(在特定时间)可能改变死亡率的历史和当代因素的影响。采用以下统计方法:计算时期和队列死亡率;年龄-时期-出生队列(APC)模型,该模型提供了一种方法来评估三个相关因素(年龄、死亡日历期和出生队列)对死亡率的重要性。APC分析的结果表明,在乌克兰,时期效应对长期死亡率的贡献可能大于队列效应,并且发现这两种效应对男性的影响大于对女性的影响。分析显示,当年轻一代的存活率低于老一代时,死亡率的代际差异和队列死亡率的反转。特别是,在20世纪上半叶出生的几乎所有世代的死亡率都高于1900年出生的参考队列,而只有1945年以后出生的人死亡率较低。与此同时,1945年以后出生的年龄组死亡率总体下降的情况因年龄组而异:0至15岁年龄组的死亡率每一代都在下降,但45至60岁年龄组的年轻一代死亡率往往高于老一代。1915-1925年出生的人,尤其是1917-1921年出生的人似乎是最弱势的,在生存方面受到的影响最大。一项对不同世代在较大年龄间隔内死亡概率的比较分析表明,首先,在参加第二次世界大战的成年男性群体中,1915-1925年出生的人受影响最大;第二,在第一次世界大战期间,在1917-1921年的乌克兰革命和1921-1923年的饥荒期间,1880-1890年出生的青年和中年男子遭受的损失最大,而在1932-1933年的大饥荒中,儿童和青少年以及1870年代出生的老年人的死亡率最高。
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