February 23, 2026 4:00 pm Balancing Flexibility and Interpretability: A Conditional Linear Model Estimation via Random Forest Marcelo C. Medeiros (University of Illinois at Urbana-Champaign) Harry and Susan Seigle Hall, room 348
February 09, 2026 4:00 pm Potential Outcome Modeling and Estimation in DiD Designs with Staggered Treatments Siddhartha Chib (Olin Business School, Washington University in St. Louis) Harry and Susan Seigle Hall, room 348
December 08, 2025 4:00 pm Causal Inference under Interference through Designed Markets Evan Munro (University of Chicago Booth School of Business) Harry and Susan Seigle Hall, room 348
December 01, 2025 4:00 pm POSTPONED to 2/23/26: Balancing Flexibility and Interpretability: A Conditional Linear Model Estimation via Random Forest Marcelo C. Medeiros (University of Illinois at Urbana-Champaign) Harry and Susan Seigle Hall, room 348
November 24, 2025 4:00 pm Semiparametric Learning of Integral Functionals on Submanifolds Xiaohong Chen (Yale University) Harry and Susan Seigle Hall, room 348
November 17, 2025 4:00 pm Testing Exclusion and Shape Restrictions in Potential Outcome Models Hiroaki Kaido (Boston University) Harry and Susan Seigle Hall, room 348
November 10, 2025 4:00 pm Ranking Inference Based on Multiway Comparisons Mengxin Yu (Washington University in St. Louis) Harry and Susan Seigle Hall, room 348
November 03, 2025 4:00 pm Identifying Treatment and Spillover Effects Using Exposure Contrasts Michael Leung (UCSC) Harry and Susan Seigle Hall, room 348
October 27, 2025 4:00 pm Inverting Estimating Equations for Causal Inference on Quantiles Chao Cheng (Washington University in St. Louis) Harry and Susan Seigle Hall, room 348
October 20, 2025 4:00 pm Inference for Two-Stage Extremum Estimators Aristide Houndetoungan (Université Laval) Harry and Susan Seigle Hall, room 348
April 28, 2025 4:00 pm Inference on High Dimensional Selective Labeling Models Shakeeb Khan (Boston College) Harry and Susan Seigle Hall 348
March 24, 2025 4:00 pm Robust Identification in Repeated Games: An Empirical Approach to Algorithmic Competition Cristina Gualdani (Queen Mary University of London) Harry and Susan Seigle Hall 348