The lack of reliable development statistics for many poor countries has led the U.N. to call for a “data revolution” (United Nations, 2013).

In this paper we examine how policymakers and practitioners should interpret the impact evaluation literature when presented with conflicting experimental and non-experimental estimates of the same intervention across varying contexts. We show three things. First, as is well known, non-experimental ...