Jörg Stoye

Jörg Stoye is the Ta-Chung Liu Professor of Economics at Cornell University, affiliated with the Department of Economics. His research focuses on microeconometric methods, particularly their interaction with microeconomic theory, including inference under partial identification, statistical testing of Revealed Preference conditions, and statistical decision theory. His work has been published in leading journals such as Econometrica and the Journal of Econometrics. Stoye holds a Ph.D. in Economics from Northwestern University, an M.Sc. in Economics and Philosophy (Distinction) from the London School of Economics, and a Diplom-Volkswirt from Universität zu Köln. He is a Fellow of the International Association for Applied Econometrics and the German Economic Association's Standing Field Committee in Econometrics.

Jörg Stoye is a Professor of Economics at Cornell University, specializing in Econometrics and Statistical Decision Theory. His research focuses on partially identified parameters, confidence intervals, and robust treatment choice under uncertainty. Stoye explores statistical decisions under ambiguity, minimax regret treatment choice, and revealed preferences in heterogeneous populations. His work includes nonparametric analysis of random utility models and computation of bounds on population parameters with incomplete data. He also investigates statistical decisions in the context of stochastic rationality and demand prediction. His research emphasizes methodological rigor and practical applications in econometric analysis.