Evan Munro is an Assistant Professor of Econometrics and Statistics at the University of Chicago Booth School of Business.
Munro’s research is in econometrics and causal inference, with a focus on designing experiments, estimating treatment effects, and formulating optimal policy in markets and other strategic environments. His work combines tools from computer science, statistics and game theory. Specific areas of interest include online platforms, environmental and resource markets, and matching markets for schools.
Previously, Munro was a Neyman Visiting Assistant Professor in the Department of Statistics at UC Berkeley, and received his Ph.D. from Stanford University.
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