Reweighting a distribution to minimize a distance to a target distribution is a powerful and flexible strategy for estimating a wide range of causal effects, but can be challenging in practice because optimal weights typically depend on knowledge of the underlying data generating process. In this paper, we focus on design-based weights, which do…

Although graduate-educated engineers are essential for the professoriate, technological advancement, and the growth of the U.S. economy, there is concern about the shortage of future PhD-holding engineers pursuing careers in academia and industry. This shortage relates, in part, to high levels of attrition among engineering graduate students. It…