Rejective Sampling, Rerandomization and Regression Adjustment in Survey Experiments
调查实验中的拒绝式抽样、再随机化与回归调整
Classical randomized experiments, equipped with randomization-based inference, provide assumption-free inference for treatment effects. They have been the gold standard for drawing causal inference and provide excellent internal validity. However, they have also been criticized for questionable external validity, in the sense that the conclusion may not generalize well to a larger population. The randomized survey experiment is a design tool that can help mitigate this…