Ex ante inequality of opportunity in health, decomposition and distributional analysis of biomarkers
Ex ante inequality of opportunity in health, decomposition and distributional analysis of biomarkers
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DOI：
10.1016/j.jhealeco.2019.102251
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发表时间：
2020-01-01
影响因子：
3.5
通讯作者：
Jones, Andrew M.
中科院分区：
文献类型：
--
作者：
Davillas, Apostolos;Jones, Andrew M.
我们使用一组生物标志物来衡量英国主要慢性病风险的机会不平等（IOp）。应用直接事前IOp方法，我们发现归因于环境的生物标志物的不平等占总变化的非平凡部分。例如，在我们的多系统健康风险综合度量（非稳态负荷）中，观察到的情况占总不平等的20%。我们提出了一个扩展的事前lop的分解，以补充平均为基础的方法，分析的贡献的情况下，跨分位数的生物标志物分布。Shapley分解显示，对于大多数生物标志物，相对于归因于年龄和性别的差异，社会经济环境（教育和儿童社会经济地位）的贡献百分比向生物标志物分布的右尾增加，其中健康风险更明显。(C)2019 Elsevier B.V.版权所有。
We use a set of biomarkers to measure inequality of opportunity (IOp) in the risk of major chronic conditions in the UK. Applying a direct ex ante lOp approach, we find that inequalities in biomarkers attributed to circumstances account for a non-trivial part of the total variation. For example, observed circumstances account for 20 % of the total inequalities in our composite measure of multi-system health risk, allostatic load. We propose an extension to the decomposition of ex ante lop to complement the mean-based approach, analysing the contribution of circumstances across the quantiles of the biomarker distributions. Shapley decompositions show that, for most of the biomarkers, the percentage contribution of socioeconomic circumstances (education and childhood socioeconomic status), relative to differences attributable to age and gender, increase towards the right tail of the biomarker distribution, where health risks are more pronounced. (C) 2019 Elsevier B.V. All rights reserved.