| 主讲人简介： | Xingbai Xu is a tenured professor and doctoral supervisor of Wang Yanan Institute for Studies in Economics, Paula and Gregory Chow Institute for Studies in Economics, Xiamen University. He received his PhD in Economics from Ohio State University in 2016. His research interests include spatial econometrics, network econometrics, robust estimation, Bayesian, panel data analysis, and mixture models. Several research results have been published in academic journals such as Journal of Econometrics, Econometric Theory, Statistica Sinica, Regional Science and Urban Economics. |
| 简介： | In this talk, I will share some applications of large sample theory in my research in econometrics. Specifically, I will illustrate key steps in proving the consistency of the maximum likelihood estimator for the spatial autoregressive Tobit model, introduce asymptotic tools for random fields used in spatial econometrics, and discuss applications of empirical process theory in deriving the asymptotic distribution of the sieve maximum likelihood estimator and robust estimators for spatial econometric models. |