Aufenanger, Tobias - 2017 - This version: September 2017
This paper proposes a way of using observational pretest data for the design of experiments. In particular, this paper trains a random forest on the pretest data and stratifies the allocation of treatments to experimental units on the predicted dependent variables. This approach reduces much of...