Maximilian Kasy is a professor at the Department of Economics at the University of Oxford. His research interests include machine learning theory; the social impact of algorithmic decision making; publication bias, pre-analysis plans, and statistics as a social process; adaptive experimental design; statistical decision theory; empirical Bayes methods; identification and causality; and Economic inequality and (optimal) taxation.
Recent work by Maximilian Kasy
-
Helping vulnerable populations through adaptive field experiments
An adaptive field experiment aiming to integrate Syrian refugees into urban labour markets in Jordan sheds light on the effectiveness of different policies, while targeting the welfare of experimental participants.
-
Adaptive experiments for policy research
Adaptive sampling has the potential to ensure that experiments better meet the learning goals of policymakers and are more beneficial to participants at the same time