主题：Steering via Algorithmic Recommendations

主讲：陈男，助理教授，新加坡国立大学

时间：2021年1月14日08:30

地点：腾讯会议386519814

摘要：This paper studies whether market structure affects algorithmic reco mmendations in dominant platforms.Wefocus on the dual role of Amazon.co m---as a platform owner and retailer.Wefind that products sold by Amazon re ceive substantially more “Frequently Bought Together” recommendations acr oss product categories and popularity deciles.Toestablishcausality,we exploi t within-product variation generated by Amazon stockouts.Wefind that when Amazon is out of stock, the identical product sold by third-party sellers receive s 8% fewer recommendations. The pattern can be explained by economic ince ntives of steering and cannot be explained by consumer preference. Furthermore, the steering lowers recommendation efficiency.

讲座人简介：陈男，新加坡国立大学计算学院信息系统和分析专业助理教授。博士毕业于加州大学伯克利分校哈斯商学院市场营销专业。本科毕业于武汉大学经济与管理学院市场营销系。应用计量经济学和经济学模型等方法从事实证研究。研究领域主要为产业经济学和政治经济学。研究场景涉及数字平台经济，定价和竞争策略，消费者行为以及中国制度经济问题。