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Evan Munro’s research interests are econometrics and causal inference, with a focus on designing experiments, estimating treatment effects, and formulating optimal policy in strategic environments. His work combines tools from machine learning, statistics, and game theory. Specific areas of interest include online platforms, environmental resource markets, and matching markets in schools. His research has been published in renowned journals including the American Economic Review and Management Science Journal Econometrics. Munro earned his PhD in Economics from Stanford University. He holds an MPhil in Economics with Distinction from Nuffield College, University of Oxford, and a BA in Economics and Computer Science-Mathematics from Columbia University. Prior to joining Booth, Munro served as a Neyman Visiting Assistant Professor of Statistics at the University of California, Berkeley.
University of Chicago Booth School of Business • Chicago, IL
University of California, Berkeley •
The doctoral program at Booth is organized into 'dissertation areas' which include Accounting, Behavioral Science, Econometrics and Statistics, Finance, Marketing, and Operations Management.