Cilliers, Jacobus; Elashmawy, Nour; McKenzie, David J. - 2024
The post-double selection Lasso estimator has become a popular way of selecting control variables when analyzing randomized experiments. This is done to try to improve precision, and reduce bias from attrition or chance imbalances. This paper re-estimates 780 treatment effects from published...