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The medical care costs of obesity: An instrumental variables approach

机译：肥胖的医疗费用：工具变量法

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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 restricted-use 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 estimates reported in the previous literature. For example, obesity is associated with $656 higher annual medical care costs, but the IV results indicate that obesity raises annual medical costs by $2741 (in 2005 dollars). These results imply that the previous literature has underestimated the medical costs of obesity, resulting in underestimates of the economic rationale for government intervention to reduce obesity-related externalities.
机译：本文是第一个使用工具变量（IV）的方法来评估肥胖对医疗费用的影响，以解决体重的内生性并减少体重报告误差的偏见。模型是根据2000-2005年医疗支出小组调查的限制使用数据估算的。 IV模型利用体重的遗传变异作为自然实验，得出肥胖对医疗费用影响的估计值，该估计值大大高于先前文献中报道的估计值。例如，肥胖与每年的医疗费用增加656美元相关，但IV结果表明，肥胖使每年的医疗费用增加了2741美元（以2005年的美元价值计算）。这些结果表明，先前的文献低估了肥胖症的医疗费用，导致低估了政府干预以减少与肥胖症相关的外部性的经济原理。

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