My paper “Beyond Baseline and Follow-up: the case for more T in experiments” was recently accepted at the JDE. As with most papers that go through review, the accepted version is a definite improvement on the working paper version.
A key issue in any impact evaluation is take-up (i.e. the proportion of people offered a program who use it). This is particularly an issue in many finance and private sector (FPD) programs. In many health and education programs such as vaccination campaigns or getting children to school programs, the goal of the program is actually to have all eligible individuals participate. In contrast, universal take-up is not the goal of most FPD programs, and, even when it is a goal, it is seldom the reality.
Millions of dollars are spent each year trying to improve the productivity of firms in Africa (and those in other developing countries), yet we have very little rigorous evidence as to what works. In a new working paper I look at whether it is even possible to learn whether such policies even work, and what can be done to make progress.
Small number of firms + Large heterogeneity = Not much power