· The latest SIEF newsletter offers – more nice examples to add to those in our posts on and , and Dave Evans’ (h/t Noel Muller).
· for his course on advances in causality and foundations of machine learning. He also points to this by Gentzkow et al. that I hadn’t seen.
· Following up on my this week on cross-cutting designs, Macartan Humphreys reminded me of the we featured from the Declare Design team he is part of, which also discussed the issue of trade-offs between factorial (2x2) designs and three-arm designs (see also their recent ). They note that researchers often choose 2x2 designs because they expect interaction effects, but, perhaps counterintuitively, the designs may actually be best when there are no (or very weak interactions) – in which case using them instead of three-arm trials and ignoring interactions can boost power with little bias. Of course the problem is that in practice it is hard to know whether the interactions are there or not, given often low power to detect interactions.
· Funding call for proposals: The IZA/DFID program on gender, growth and labor markets in low-income countries has its first , with both large and small research grants available.
Development Impact will take a break for August. See you after Labor Day.