The Use of Machine Learning in Treatment Effect Estimation

简介:

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.

时间:2022-11-22 (Tuesday) 16:30-18:00
地点:中科院数学与系统科学研究院南楼N204 (线下主会场)、厦大经济楼N302(线下分会场)、腾讯会议:375 8612 5504
会议语言:中文
主办单位:中国科学院大学经济与管理学院、中国科学院预测科学研究中心、厦门大学邹至庄经济研究院、NSFC"计量建模与经济政策研究”基础科学中心
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联系人信息:许老师,电话:0592-2182991,邮箱:ysxu@xmu.edu.cn

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