معرفی
Evan Munro serves as an Assistant Professor of Econometrics and Statistics at the University of Chicago Booth School of Business. His academic career bridges economics, statistics, and computer science with a focus on methodological innovation for real-world market applications.
Education Background:
- PhD in Economics, Stanford University
- MPhil in Economics with distinction, Nuffield College, University of Oxford
- BA in Economics and Computer Science-Mathematics, Columbia University
Research Focus: Munro specializes in causal inference and experimental design within strategic market environments. His work develops novel methodologies for estimating treatment effects when traditional assumptions are violated by market interactions. Key contributions include frameworks for analyzing spillover effects in centralized allocation mechanisms and dynamic treatment allocation under budget constraints. His research combines machine learning techniques with econometric theory to address challenges in online platforms, environmental markets, and school matching systems. Methodologically, he integrates game-theoretic equilibrium concepts with causal inference to develop estimators that account for strategic behavior and market feedback loops.
Research Trends: Analysis of his publication trajectory reveals increasing focus on equilibrium effects in treatment evaluation, with recent work developing doubly-robust estimators for global treatment effects in market settings. His research increasingly incorporates machine learning tools for policy optimization while maintaining rigorous statistical guarantees. The shift from theoretical frameworks toward practical implementation in complex market systems characterizes his evolving research program.
Scientific Recognition:
- Winner of MIT Sports Analytics Research Competition (2020) for work on tournament design and inequality reduction
Professional Background: Prior to joining Chicago Booth, Munro held the position of Neyman Visiting Assistant Professor in the Department of Statistics at UC Berkeley. His transition from statistics to business school reflects the applied nature of his research, which directly addresses challenges in market design and policy implementation.
