讲座题目：How Mega is the Mega? Measuringthe Spillover Effects of WeChat Using Graphic Model

主讲人：窦一凡博士

报告人简介：

窦一凡，复旦大学管理学院信息管理与信息系统系副教授、博士生导师。他本科和博士均毕业于清华大学经管学院，主要研究兴趣是电子商务、平台模式和数字虚拟产品的经济学问题。他的研究工作先后发表在多本国内外一流学术期刊，并被国内外媒体广泛报道。

内容简介：

WeChat, an instant messaging app, is considered a mega appdue to its dominance in terms of use among Chinese smartphone users. Little isknown, however, about its externality in the broader app market. This workestimates the spillover effects of WeChat on the other Top-50 most frequentlyused apps in China, using users’ weekly app usage data. Given the challenge ofdetermining causal inference from observational data, we apply a graphicalmodel and an econometric method to estimate the spillover effects in two steps:(1) we determine the causal structure by estimating a partially ancestraldiagram, using a Fast Causal Inference (FCI) algorithm; and (2) given thecausal structure, we find a valid adjustment set and estimate the causaleffects by an econometric model with the adjustment set for controllingnon-causal effects. Our findings show that the spillover effects of WeChat arelimited; in fact, only two other apps, Tencent News and Taobao, receivepositive spillover effects from WeChat. The findings generate managerialimplications in terms of app usage patterns, strategic management of mega appson an app platform, and app promotional strategies for app platform managersand app developers.

主持人：刘赫，12BET

讲座时间：2020年12月7日（周一）下午16:00-17:30

讲座地点：腾讯会议会议ID：313 229335密码：123456