Econometric Learning A Select Review

Speaker：Ai Chunrong

Host：Zeng Yan , Professor, Lingnan College

Time and Date：15:00, Nov. 17, 2023

Venue：Wong Ping-Lay Conference Room, Lingnan Hall (203) 

Language: English + Chinese

Abstract：

In this lecture, I shall review some of the recent developments in the emerging subfield--Econometric Learning, an interdisciplinary field of Econometrics and Machine Learning. The topics include how machine learning allgorithms could help the causal inference, what are the impact of machine learning on the traditional causal inference, and how to deal with it. I shall illustrate the idea using the binary treatment model as the leading example.

Biography:

Dr. Chunrong Ai is Professor of Economics and Presidential Chair Professor in the School of Management and Economics, Chinese University of Hong Kong, Shenzhen. He is the Director of the Social and Behavioral Big Data Lab at The Shenzhen Research Institute of Big Data and Associate Director of Shenzhen Finance Institute. Before that, he was Professor of Economics and Florida Term Professor at the University of Florida. He was the founding Dean of the Institute of Statistics and Big Data, Renmin University of China, and the founding Dean of the School of Statistics and Management, Senior Associate Dean of the Institute for Advanced Research and Associate Dean of Business School, Shanghai University of Finance and Economics.  

Dr. Ai’s primary research interests are in the area of econometrics, empirical industrial organization, empirical finance, and Chinese economy. Recently he focused on the interdisciplinary research between data science and behavioral big data. His research outputs are published in the reputable scholarly journals.