Abstract

Machine learning algorithms have been increasely used to improve econometric inference and to design policies. However some adjustment must be made to the traditional econometrics to preserve correct inference and policy designs. This talk reviews some recent advances.\

About the Speaker

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 graduated from Massachusetts Institute of Technology (MIT) in September 1990 with a PhD degree in Economics. In 2005, he was selected as a Changjiang Visiting Professor, and in 2009, he was selected as a National Specially Appointed Expert, and in 2021, he was selected as a Fellow of the Econometric Society. 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.