Unlike with randomized controlled trials (RCTs) in clinical research, little has been said about the ethical principles that should regulate the use of RCTs in experimental development economics. One well-known principle in clinical research ethics is the principle of clinical equipoise. Some recent commentators suggest that an analogue of clinical equipoise should play a role in experimental development economics. In this article, I first highlight some difficulties with importing the concept to experimental development economics. I then argue that MacKay’s (2018, (...) 2020) notion of policy equipoise avoids these difficulties and has a role to play in experimental development economics. (shrink)

According to the norm of policy equipoise, it is permissible to randomly assign participants to two or more interventions in a public policy randomized controlled trial (RCT) when there is meaningful uncertainty among the relevant expert community regarding which intervention is superior. While this norm is gaining traction in the research ethics literature, the idea of interventional superiority remains unclear. Is one intervention superior to another if it is reasonably expected to realize one outcome of interest more effectively, even though (...) there is uncertainty regarding other outcomes of interest? Or must an intervention be reasonably expected to realize all outcomes of interest more effectively? I address this question in this paper. My aim is to develop and defend an account of interventional superiority for policy RCTs that are authorized, funded, or conducted by government institutions. I defend the greatest value view, according to which one intervention is superior to another if and only if it is reasonably expected to more effectively realize a set of outcomes with greater value. (shrink)