用分解方法从预期寿命和寿命差异的各种影响描述死亡率差异:以捷克为例

Pub Date : 2022-01-01 DOI:10.54694/dem.0304
David Morávek, J. Langhamrová
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引用次数: 0

摘要

捷克的预期寿命自上世纪90年代以来一直在加速增长,在此之前,从上世纪60年代开始的共产主义时期,捷克的预期寿命曾长期停滞甚至下降。本文旨在评估在捷克天鹅绒革命前后对预期寿命和寿命差距的各种影响方面的死亡率差异。研究考虑了三个指标——出生时预期寿命、0至65岁之间的临时预期寿命和寿命差距指标e-dagger (e†)。在本文中,我们遵循了Arriaga(1984)的分解方法。在此基础上,将死亡率的影响进一步分解为反映特定年龄组死亡率改善或恶化的排他性效应和反映整体死亡率变化的相互作用效应。结果表明,在预期寿命测量中,间接效应占主导地位,而在寿命差距测量中,直接效应占主导地位。此外,我们还着重讨论了两性之间以及构成前捷克斯洛伐克的两个国家- -捷克和斯洛伐克- -之间出生时预期寿命的差异。为此,我们采用等高线分解的方法,将死亡率变化对初始时期的影响和死亡率变化对时间的影响区分开来。
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Describing Mortality Differentials from the Perspective of Various Effects on Life Expectancy and Life Disparity Using Decomposition Methods: The Case of Czechia
The growth in life expectancy has accelerated since the 1990s in Czechia, which preceded a long period of stagnation or even a decrease during the communist era from the 1960s. This article aims to evaluate differences in mortality in terms of the impact of various effects on life expectancy and life disparity before and after the Velvet Revolution in Czechia. Three indicators were considered – life expectancy at birth, temporary life expectancy between ages 0 and 65, and the life disparity measure e-dagger (e†). In the article, we followed the decomposition method according to Arriaga (1984). Based on this method, the effect of mortality was further decomposed into an exclusive effect reflecting improved or worsened mortality in the given age group and into an interaction effect reflecting changes in mortality as a whole. Based on the results, it was found that the indirect effect prevailed in the case of life expectancy, while the direct effect dominated in the life disparity measure. Furthermore, we focused on the differences in life expectancy at birth between the sexes and between the two countries forming parts of the former Czechoslovakia – Czechia and Slovakia. For this purpose, we followed the contour decomposition method, so that we distinguished the effect of changes in mortality corresponding to the initial period and the effect of changes corresponding to changes in mortality in terms of time.
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