معرفی
Emmanuel Guerre is a Professor at the School of Economics and Finance at Queen Mary University of London. His research focuses on theoretical and applied econometrics, with emphasis on nonparametric methods, auction models, quantile regression, and time series analysis. He has contributed to advancements in nonparametric identification and inference for auctions, particularly through rate-optimal estimation techniques and quantile-based approaches. His work has been published in leading journals such as the Annals of Statistics, Econometrica, and the Review of Economic Studies.
Education:
- PhD in Statistics, University of Paris (Paris 6, Université Pierre et Marie Curie)
- BSc in Economics and Statistics, ENSAE
Research interests include nonparametric identification in auctions, optimal testing for time series, and quantile methods. He is an associate editor for Econometric Theory and the Journal of Econometrics.
Awards:
- Journal of Econometrics Zellner Award (2022-23) for the paper Quantile regression methods for first-price auctions
Publications highlight contributions to auction modeling, quantile regression, and nonparametric estimation techniques, reflecting his expertise in both theoretical and applied econometrics.
