Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation
结合匹配与合成控制以权衡外推和内插偏差
The synthetic control (SC) method is widely used in comparative case studies to adjust for differences in pre-treatment characteristics. SC limits extrapolation bias at the potential expense of interpolation bias, whereas traditional matching estimators have the opposite properties. This complementarity motives us to propose a matching and synthetic control (or MASC) estimator as a model averaging estimator that combines the standard SC and matching estimators. We show how…