{"title":"Causes of Inequality in Health: Who are You? Where Do You Live? Or Who Your Parents Were?","authors":"A. Wagstaff, P. Paci, H. Joshi","doi":"10.1596/1813-9450-2713","DOIUrl":null,"url":null,"abstract":"Data from the British National Child Development Study show that, among 33-year-olds, ill health (as measured by cardinalized responses to a question on self-assessed health) is concentrated among the worse off. The authors seek to decompose the inequalities in health status into their socioeconomic causes. In this decomposition, inequalities in health status depend on inequalities in each of the underlying determinants of health and on the elasticities of health status with respect to each of these determinants. The authors estimate these elasticities using regression models that allow for unobserved heterogeneity at the community level. They find that inequalities in unobserved community-level influences account for only 6 percent of health inequality, and inequalities in parental education and social class for only 4 percent. Inequalities in income and housing tenure account for most health inequality, though inequalities in educational attainment and in math scores at age seven also play a part.","PeriodicalId":309156,"journal":{"name":"PSN: Health Care Delivery (Topic)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PSN: Health Care Delivery (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1596/1813-9450-2713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Data from the British National Child Development Study show that, among 33-year-olds, ill health (as measured by cardinalized responses to a question on self-assessed health) is concentrated among the worse off. The authors seek to decompose the inequalities in health status into their socioeconomic causes. In this decomposition, inequalities in health status depend on inequalities in each of the underlying determinants of health and on the elasticities of health status with respect to each of these determinants. The authors estimate these elasticities using regression models that allow for unobserved heterogeneity at the community level. They find that inequalities in unobserved community-level influences account for only 6 percent of health inequality, and inequalities in parental education and social class for only 4 percent. Inequalities in income and housing tenure account for most health inequality, though inequalities in educational attainment and in math scores at age seven also play a part.
英国国家儿童发展研究(British National Child Development Study)的数据显示,在33岁的人群中,健康状况不佳(通过对自我评估健康问题的基数回答来衡量)的人群集中在状况较差的人群中。作者试图将健康状况的不平等分解为其社会经济原因。在这种分解中,健康状况的不平等取决于健康的每个基本决定因素的不平等,以及健康状况相对于这些决定因素的弹性。作者使用回归模型来估计这些弹性,该模型允许在社区水平上未观察到的异质性。他们发现,未被观察到的社区层面影响的不平等只占健康不平等的6%,父母教育和社会阶层的不平等只占4%。收入和住房使用权的不平等是造成健康不平等的主要原因,尽管受教育程度和7岁儿童数学成绩的不平等也有一定影响。