We estimate the effect of Medicaid expansion on the adult uninsurance rate in states that did not expand Medicaid in 2014. Using data from the American Community Survey (ACS), we estimate this effect - the treatment effect on the controls (ETC) - by re-weighting expansion regions to approximately balance the covariates from non-expansion regions using an extension of the stable balancing weights objective function (Zubizaretta (2015)). We contribute to the balancing weights literature by accounting for hierarchical data structure and covariate measurement error when calculating our weights, and to the synthetic controls literature (see, e.g. Abadie et al 2010) by outlining a set of assumptions that identifies the ETC using time-series cross-sectional data. We estimate that Medicaid expansion would have changed the uninsurance rate by -2.33 (-3.49, -1.16) percentage points. These results are smaller in absolute magnitude than existing estimates of the treatment effect on the treated (ETT), though may not be directly comparable due to the study design, target population, and level of analysis. Regardless, we caution against making inferences about the ETC using estimates of the ETT, and emphasize the need to directly estimate the appropriate counterfactual when they are the quantity of interest.
翻译:我们利用美国社区调查(ACS)提供的数据,估计了医疗补助扩大对成人无保险率的影响,在2014年没有扩大医疗补助的国家没有扩大医疗补助,我们估计了这种影响 -- -- 对控制(ETC)的治疗影响 -- -- 通过重新加权扩大地区,利用稳定平衡权重客观功能(Zubizaretta(2015年))的延伸来大致平衡非扩展地区的共差;我们通过计算我们加权数时的等级数据结构和共变计量错误,以及综合控制文献(例如Abadie等人(2010年)),为平衡权重文献作出了贡献,我们利用时间序列跨部门数据概述了一套确定医疗补助的假设,我们估计,医疗补助的扩大将使非保险率改变至-2.33(-3.49,-1.16)百分点,这些结果的绝对数量小于对治疗效果的现有估计(ETT),尽管由于研究设计、目标人口和分析水平可能无法直接进行比较。我们告诫不要在估计ETC的利息是直接估算时,强调对实际利率的适当程度。