青少年肥胖的医疗费用:工具变量方法

Adam I. Biener, J. Cawley, C. Meyerhoefer
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引用次数: 21

摘要

本文首次使用工具变量(IV)方法来估计肥胖对医疗费用的影响,以解决体重的内生性问题,并减少体重报告误差的偏倚。模型的估计使用2000-2005年医疗支出小组调查的数据。IV模型利用体重的遗传变异作为自然实验,得出的肥胖对医疗费用影响的估计比以前文献中报道的相关性要高得多。例如,肥胖与每年676美元的医疗费用相关,但IV的结果表明,肥胖使每年的医疗费用增加了2,826美元(以2005年的美元计算)。据估计,美国非医疗机构成年人口每年用于治疗肥胖的费用为1684亿美元,占全国医疗保健支出的16.5%。这些结果表明,以前的文献低估了肥胖的医疗成本,从而低估了反肥胖干预措施的成本效益和政府干预减少肥胖相关外部性的经济依据。
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The Medical Care Costs of Youth Obesity: An Instrumental Variables Approach
This paper is the first to use the method of instrumental variables (IV) to estimate the impact of obesity on medical costs in order to address the endogeneity of weight and to reduce the bias from reporting error in weight. Models are estimated using data from the Medical Expenditure Panel Survey for 2000-2005. The IV model, which exploits genetic variation in weight as a natural experiment, yields estimates of the impact of obesity on medical costs that are considerably higher than the correlations reported in the previous literature. For example, obesity is associated with $676 higher annual medical care costs, but the IV results indicate that obesity raises annual medical costs by $2,826 (in 2005 dollars). The estimated annual cost of treating obesity in the U.S. adult non-institutionalized population is $168.4 billion or 16.5% of national spending on medical care. These results imply that the previous literature has underestimated the medical costs of obesity, resulting in underestimates of the cost effectiveness of anti-obesity interventions and the economic rationale for government intervention to reduce obesity-related externalities.
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