Carrieri Vincenzo, Jones Andrew M
Università di Salerno, Fisciano (SA), Italy.
HEDG, University of York, York, UK.
Health Econ. 2017 Jul;26(7):937-956. doi: 10.1002/hec.3372. Epub 2016 Jul 15.
The relationship between income and health is one of the most explored topics in health economics but less is known about this relationship at different points of the health distribution. Analysis based solely on the mean may miss important information in other parts of the distribution. This is especially relevant when clinical concern is focused on the tail of the distribution and when evaluating the income gradient at different points of the distribution and decomposing income-related inequalities in health is of interest. We use the unconditional quantile regression approach to analyse the income gradient across the entire distribution of objectively measured blood-based biomarkers. We apply an Oaxaca-Blinder decomposition at various quantiles of the biomarker distributions to analyse gender differentials in biomarkers and to measure the contribution of income (and other covariates) to these differentials. Using data from the Health Survey for England, we find a non-linear relationship between income and health and a strong gradient with respect to income at the highest quantiles of the biomarker distributions. We find that there is heterogeneity in the association of health to income across genders, which accounts for a substantial percentage of the gender differentials in observed health. Copyright © 2016 John Wiley & Sons, Ltd.
收入与健康之间的关系是健康经济学中探讨最多的话题之一，但在健康分布的不同点上，人们对这种关系的了解较少。仅基于均值的分析可能会忽略分布其他部分的重要信息。当临床关注点集中在分布的尾部，以及评估分布不同点的收入梯度并分解与收入相关的健康不平等现象时，这一点尤为重要。我们使用无条件分位数回归方法来分析客观测量的血液生物标志物整个分布上的收入梯度。我们在生物标志物分布的各个分位数处应用Oaxaca-Blinder分解，以分析生物标志物中的性别差异，并衡量收入（和其他协变量）对这些差异的贡献。利用来自英格兰健康调查的数据，我们发现收入与健康之间存在非线性关系，并且在生物标志物分布的最高分位数处，收入梯度很强。我们发现，健康与收入之间的关联在不同性别之间存在异质性，这在观察到的健康性别差异中占了很大比例。版权所有© 2016约翰·威利父子有限公司。
