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Federico Bugni is a Professor and the Director of Graduate Studies at Northwestern University, specializing in econometric theory applications with a strong emphasis on microeconometrics. His research interests encompass a variety of techniques and methodologies, particularly focusing on inference in partially identified models, which is critical for understanding complex economic behaviors. He also explores functional data analysis and its applications in economics, along with dynamic games and the implications of randomization methods. His work on covariate-adaptive randomization has contributed to developing more robust experimental designs in empirical research, reaching a wider audience in both academic and policy-making spheres. Bugni's insights and methodologies are invaluable for scholars and practitioners aiming to unravel the nuances of economic data.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.