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准实验情况下的因果识别

2022-04-06  



准实验情况下的因果识别

Casual Identification in the Quasi-Experiment Context


报告时间:2022年4月13日 9:30-11:30

腾讯会议:408-978-842

邀请单位:大连理工大学威澳门尼斯人官网欢迎您

大数据与智能决策研究中心

邀请人:李先能教授(大数据与机器智能团队)


报告内容:

本分享将针对准实验情境下(随机田野实验不适用的场景下),对传统和新兴的因果识别方法进行整体介绍。本次分享内容将介绍使用自然实验的二手数据进行因果识别的主流的计量经济学方法。通过本次分享你将对匹配、工具变量、heckman选择、双重差分和回归不连续性分析有全面了解。同时,佟老师还会分享目前正在进行的研究工作,该研究涉及到一个广义综合控制和随机森林的新方法。


Workshop introduction: An overview for the conventional and emerging casual identification methods in the quasi-experiment context wherein a randomized field experiment is not applicable nor feasible.  In this workshop, I will cover the mainstream econometric methods for casual inference using secondary dataset for natural experiment. You will expect to grasp a comprehensive understanding for methods such as matching, instrument variable, heckman selection, differences-in-difference, and regression discontinuity. Moreover, I will also cover the upcoming methodology for casual inference regarding generalized synthetic control and random forest.


报告人简介

佟思亮助理教授于2021年加入南洋理工商学院信息技术与运营管理系,于2020年获得天普大学福克斯商学院的营销博士学位。佟老师是实证方向的研究者,主要研究领域涉及人工智能、移动应用营销和共享经济。他的研究非常活跃,其研究成果在AMA会议、ISMS Marketing Science等会议上被评为最佳论文。目前已有研究发表成果在《Strategic Management Journal》,《Marketing Science》,《Journal of Marketing》,《Journal of the Academy of Marketing Science》。在进入学术界以前,佟老师有6年数字营销和网络分析的管理工作经验,并于2016年获得威斯康星大学麦迪逊分校的MBA学位。

Dr. Siliang (Jack) Tong joined the Division of Information Technology and Operation Management at NBS on 01/02/2021. He earned his Doctoral degree in Marketing from the Fox School of Business, Temple University in 2020. Siliang is an empirical modeler who is interested in the substantive areas of artificial intelligence, mobile app marketing, and sharing economy. He is very active in research as his works were awarded as the best paper and finalist in multiple occasions such as AMA conference and ISMS Marketing Science conference. His research is published in Strategic Management Journal, Marketing Science, Journal of Marketing and the Journal of the Academy of Marketing Science. Before joining the academia, he had 6-year management experience in digital marketing and web analytics, and he obtained his MBA degree from the University of Wisconsin-Madison in 2016 .


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