معرفی
Ivan Canay is a Professor of Economics and Director of the Mathematical Methods in the Social Sciences Program at Northwestern University’s Weinberg College of Arts & Sciences. He holds a PhD from the University of Wisconsin, Madison (2008). His research focuses on econometric theory, particularly developing statistical methods for assessing partially identified models, including tests for moment inequalities and randomization-based inference techniques. Recent work addresses challenges in clustered data analysis, covariate-adaptive randomization, and regression discontinuity designs.
Canay’s academic contributions include advancing methodologies for handling non-ignorable cluster sizes and improving the robustness of inference in settings with limited data. He serves as an associate editor for the Journal of Econometrics, Journal of Business and Economic Statistics, and Econometrics Journal. His work bridges theoretical econometrics with practical applications in policy evaluation and causal inference.
Key research themes include:
- Partially identified models and moment inequality frameworks
- Bootstrap methods for clustered data
- Covariate-adaptive randomization in clinical trials
- Statistical software development (e.g., Stata modules)
His publications emphasize methodological rigor while addressing real-world complexities in economic data. Current projects likely expand his work on inference under structural constraints and improving accessibility of econometric tools for applied researchers.
