大规模社会实验中随机化偏倚的证据:以ERA为例

Evidence of randomisation bias in a large-scale social experiment: The case of ERA

Journal of Econometrics · 2017
被引 11
人大 AABS 4

中文导读

提出了系统考虑随机化偏倚的理论框架,估计了随机化对实际试验参与模式的影响,并提出了非实验方法评估实验效果的代表性,同时扩展了估计量以处理二元结果和选择性调查无应答。

Abstract

We set out a theoretical framework for the systematic consideration of 'randomisation bias', estimate the causal impact of randomisation on participation patterns in an actual trial, and propose a non-experimental way of assessing the extent to which the experimental impacts are representative of the impacts that would have been experienced by the study sample that would have been obtained in the absence of random assignment. We also extend our estimator to deal with binary outcomes and to account for selective survey non-response, and explore partial and point identification of the parameter of interest under alternative assumptions on the selection process.

随机化偏倚实验参与模式因果推断非实验估计