Federico Bugni

Federico Bugni is a Professor and Director of Graduate Studies in the Department of Economics at Northwestern University. His research interests lie broadly in econometric theory and its applications, with an emphasis on microeconometrics. His topics of interest include inference in partially identified models, functional data, dynamic games, randomization methods, and covariate-adaptive randomization. He holds a PhD from Northwestern University, awarded in 2008. His contact information is available at federico.bugni@northwestern.edu, and his profile page can be accessed at https://economics.northwestern.edu/people/directory/federico-bugni.html.

Federico A. Bugni is an econometrician whose research focuses on inference methods in partially identified models, particularly those defined by moment inequalities. His work addresses challenges in bootstrap inference, subvector inference, and specification tests for models with multiple moment inequalities. Bugni also investigates inference under covariate-adaptive randomization, including multiple treatments and imperfect compliance, as well as methods for cluster randomized experiments. His research includes goodness-of-fit tests for functional data, permutation tests for equality of distributions, and inference in dynamic discrete choice problems under local misspecification. His contributions emphasize robust statistical methods for complex econometric settings.