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Jörg Stoye is the Ta-Chung Liu Professor of Economics at Cornell University and a fellow at Cornell's Center for Data Science. His research focuses on microeconometric methods, particularly the inference of partial identification and statistical testing of revealed preference conditions. His contributions span various aspects of statistical decision theory, with applications addressing treatment and policy choice decision problems. Stoye's work has been published in leading journals such as Econometrica and the Journal of Economic Theory. He holds a Ph.D. in Economics from Northwestern University and has a distinguished academic background with degrees from the London School of Economics and the University of Cologne. Stoye is actively engaged in the academic community, serving on editorial boards and committees, including the arXiv Economics Section Editorial Committee and the German Economic Association's Standing Field Committee in Econometrics. He has participated in various media discussions related to his research, including topics on COVID-19 prevalence and its impacts on education.
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