Kowalski Amanda
Yale University.
J Bus Econ Stat. 2016 Jan 2;34(1):107-117. doi: 10.1080/07350015.2015.1004072. Epub 2016 Jan 20.
Efforts to control medical care costs depend critically on how individuals respond to prices. I estimate the price elasticity of expenditure on medical care using a censored quantile instrumental variable (CQIV) estimator. CQIV allows estimates to vary across the conditional expenditure distribution, relaxes traditional censored model assumptions, and addresses endogeneity with an instrumental variable. My instrumental variable strategy uses a family member's injury to induce variation in an individual's own price. Across the conditional deciles of the expenditure distribution, I find elasticities that vary from -0.76 to -1.49, which are an order of magnitude larger than previous estimates.
控制医疗成本的努力在很大程度上取决于个人对价格的反应。我使用删失分位数工具变量（CQIV）估计量来估计医疗支出的价格弹性。CQIV允许估计值在条件支出分布中有所不同，放宽了传统删失模型的假设，并使用工具变量解决内生性问题。我的工具变量策略利用家庭成员的受伤情况来引发个人自身价格的变化。在支出分布的条件十分位数中，我发现弹性范围从-0.76到-1.49，比之前的估计值大一个数量级。
