报告题目：The Use of Machine Learning in Treatment Effect Estimation
主讲嘉宾：Yu-Chin Hsu is a research fellow in Institute of Economics, Academia Sinica and an adjunct professor in several universities in Taiwan, China. His research focuses on econometrics.
报告摘要：We present recent developments in double machine learning (DML) approach. The DML approach is concerned primarily with selecting the relevant control variables and functional forms necessary for the consistent estimation of an average treatment effect. We explain why the use of orthogonal moment conditions is crucial in this setting. We also discuss how DML approach can be applied to estimate the conditional average treatment effect (CATE) function conditional on a pre-specified coordinate.
报告时间：2022年11月22日（周二），16:30-18:00
线下地点：中科院数学与系统科学研究院南楼N204
线上地点：腾讯会议 ID：375-8612-5504
