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Ivan Canay is a leading researcher in econometric theory, with his work specifically focused on developing statistical tests for assessing models that are only partially identified. His recent research contributions include advancing methods of inference for individual components of parameters that are defined through moment inequalities, as well as developing insightful approaches to inference in models that rely on clusters and randomization tests. Additionally, he has explored covariate adaptive randomization techniques in causal inference frameworks. Throughout his career, Canay has held the position of associate editor for prestigious journals such as the Journal of Econometrics, the Journal of Business and Economic Statistics, and the Econometrics Journal, further illustrating his influence and commitment to advancing the field.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.