收入五分位数卫生支出的收入弹性估计与卫生支出分配的不平等

M. Shahraki
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引用次数: 0

摘要

背景:确定家庭卫生支出的收入弹性,特别是收入十分位数的家庭卫生支出的收入弹性,可导致采取适当的政策来控制和管理收入十分位数的卫生支出。因此,本研究的主要目的是按收入五分位数估计城市家庭卫生支出的收入弹性,并计算伊朗城市家庭卫生支出分配的不平等。方法:这是一项描述性分析和应用研究,于2021年在Stata 16软件中使用Hackman两阶段方法进行横断面分析。样本包括伊朗统计中心的16,943个城镇家庭,数据提取自城镇家庭成本和收入问卷不同部分的原始数据。采用基尼系数、罗宾汉指数和Herfindal-Hershman指数衡量卫生支出不平等。结果:整个样本的卫生支出收入弹性为0.31,第一、二、五分位数的卫生支出收入弹性分别为0.28、0.66和0.36。基尼指数、罗宾汉指数和赫芬顿赫希曼指数分别为0.240、0.272和0.231。父母受教育程度和家庭收入的提高、子女年龄在7岁以下和拥有私人家庭对家庭卫生支出的增加有积极影响,而母亲就业对家庭卫生支出的增加有消极影响。结论:健康是城市家庭和收入阶层的重要资产;因此,建议采取再分配政策来支持家庭,特别是最低的两个五分之一的家庭。不平等指标的结果表明,在卫生支出分配方面存在不平等;因此,建议升级针对低收入十分之一人群的医疗保险计划,扩大基本医疗服务的覆盖范围,并根据其支付能力收取保费。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating the Income Elasticities of Health Expenditures for Income Quintiles and Inequality of Health Expenditures Distribution
Background: Determining the income elasticities of the household health expenditures, especially for income deciles, leads to adoption of appropriate policies to control and manage health expenditures among income deciles. Therefore, the main purpose of this study was to estimate the income elasticities of urban household health expenditures by income quintiles, and also calculate inequality in distribution of urban household health expenditures in Iran. Methods: This was a descriptive-analytical and applied study performed cross-sectionally with the Hackman two-stage method in Stata 16 software in 2021. The sample included 16,943 urban households in Statistics Center of Iran, and the data was extracted from the raw data of different sections of the cost and income questionnaire regarding urban households. Health expenditure inequality was measured by Gini coefficient, Robin Hood and Herfindal-Hershman indices. Results: The results showed that the income elasticity of health expenditures was 0.31 for the entire sample and 0.28, 0.66 and 0.36 for the first, second and fifth quintiles, respectively. The Gini, Robin Hood and Herfindal Hirschman indices were 0.240, 0.272 and 0.231, respectively. The increase in parents' educational level and household income, and having a child under seven and a private home had a positive effect and maternal employment had a negative effect on the increase of household health expenditures. Conclusion: Health is an important asset for urban households and the income quintiles; therefore, the adoption of redistributive policies is recommended to support households, especially the ones in the 2 lowest quintiles. The results of inequality indicators demonstrate the existence of inequality in the distribution of health expenditures; so, it is recommended to upgrade health insurance programs for low-income deciles, expand the coverage of essential medical services and receive premiums based on their ability to pay.  
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