Wehby George L, Shane Dan
Department of Health Management and Policy, University of Iowa, 145 N. Riverside Dr., 100 College of Public Health Bldg., Room N250, Iowa City, IA, 52242-2007, USA.
Department of Economics, University of Iowa, Iowa City, IA, USA.
Int J Health Econ Manag. 2019 Dec;19(3-4):301-316. doi: 10.1007/s10754-018-9255-y. Epub 2018 Nov 12.
We provide the first investigation into whether and how much genes explain having health insurance coverage or not and possible mechanisms for genetic variation. Using a twin-design that compares identical and non-identical twins from a national sample of US twins from the National Survey of Midlife Development in the United States, we find that genetic effects explain over 40% of the variation in whether a person has any health coverage versus not, and nearly 50% of the variation in whether individuals younger than 65 have private coverage versus whether they have no coverage at all. Nearly one third of the genetic variation in being uninsured versus having private coverage is explained by employment industry, self-employment status, and income, and together with education, they explain over 40% of the genetic influence. Marital status, number of children, and available measures of health status, risk preferences, and prevention effort do not appear to be important channels for genetic effects. That genes have meaningful effects on the insurance status suggests an important source of heterogeneity in insurance take up.
我们首次研究了基因是否以及在多大程度上解释了拥有医疗保险覆盖范围与否,以及基因变异的可能机制。通过一项双胞胎设计,该设计比较了来自美国中年发展全国调查(National Survey of Midlife Development in the United States)的全国双胞胎样本中的同卵双胞胎和异卵双胞胎,我们发现基因效应解释了一个人是否拥有任何医疗保险覆盖范围差异的40%以上,以及65岁以下个体拥有私人医疗保险覆盖范围与完全没有保险覆盖范围差异的近50%。未参保与拥有私人保险覆盖范围之间近三分之一的基因变异可由就业行业、自营职业状况和收入来解释,并且与教育一起,它们解释了超过40%的基因影响。婚姻状况、子女数量以及健康状况、风险偏好和预防努力的现有衡量指标似乎不是基因效应的重要渠道。基因对保险状况有有意义的影响,这表明在保险参保方面存在一个重要的异质性来源。