Controversy about the significance of underdetermination of theories persists in the philosophy and conduct of science. The issue has practical import when scientific research is used to inform decision making, because scientific uncertainty yields inductive risk. Seeking to enhance communication between philosophers and researchers who analyze public policy, this paper describes econometric analysis of partial identification. Study of partial identification finds underdetermination and inductive risk to be highly consequential for credible prediction of important societal outcomes and, hence, for credible public decision making. It provides mathematical tools to characterize a broad class of scientific uncertainties that arise when available data and credible assumptions are combined to predict population outcomes. Combining study of partial identification with criteria for reasonable decision making under ambiguity yields coherent practical approaches to make policy choices without accepting one among multiple empirically underdetermined theories. The paper argues that study of partial identification warrants attention in philosophical discourse on underdetermination and inductive risk.