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Improving Causal Claims in Public Policy through Randomized Designs in the Field

Abstract Randomized controlled trials carried out in the field have not been deployed in the study of the comparative policy process. Recent field experiments in political science and public administration offer a model to follow with their insights into the classic topics of public policy, such as biases of decision-makers and responsiveness to citizen demands. This paper reviews the development of RCTs in policy evaluation and traces their impact more generally across the social sciences. Scholars in public policy have recently carried out several survey experiments, which suggests greater potential for making causal inferences from the field in future years.