Jiaying Gu

Jiaying Gu is an Associate Professor in the Department of Economics at the University of Toronto. Her research focuses on Econometrics and Applied econometrics. She holds a Ph.D. from the University of Illinois at Urbana-Champaign (2015), an M.A. from the National University of Singapore (2008), and a B.S. from Fudan University (2006). Gu's work includes contributions to econometric methods and their applications, with publications in top journals such as Econometrica and the Journal of Econometrics. She teaches courses in econometrics at the undergraduate and graduate levels.

Jiaying Gu is an econometrician whose research focuses on advanced statistical methods for economic analysis. Her work explores empirical Bayes techniques, mixture models, and quantile regression with fixed effects, emphasizing unobserved heterogeneity and robust inference. Gu's research spans panel data analysis, instrumental variables estimation, and counterfactual identification in discrete outcome models. She has also contributed to understanding the diffusion of infectious diseases through social and production networks. Her publications highlight methodological innovations in econometrics, particularly in handling complex data structures and improving inference in settings with weak instruments or heterogeneous treatment effects.