A comparison of treatment effects estimators using a structural model of AMI treatment choices and severity of illness information from hospital charts
在没有实验数据的情况下，利用医院病历数据估计急性心肌梗死治疗的结构模型，模拟已知处理效应的数据，比较不同匹配估计量的表现，发现加入个体异质性控制后估计效果良好，否则效果较差。
We compare the performance of various matching estimators using a novel approach that is feasible in the absence of experimental data. We estimate a structural model of hospital choices and catheterization for Medicare heart attack victims using hospital chart data on patient heterogeneity. With the estimated structural parameters, we simulate data for which the treatment effect is known. We find that as measures of individual heterogeneity are added to the controls, matching estimators perform well. However, the estimators do a poor job recovering the true treatment effect when measures of individual heterogeneity are unavailable.