Data-Driven Mergers and Personalization
研究科技公司并购如何通过消费协同效应连接数据收集与应用市场，分析效率提升与个性化定价对市场垄断的影响，为反垄断政策提供参考。
Abstract This article studies tech mergers that involve a large volume of consumer data. The merger links the markets for data collection and data application through a consumption synergy. The merger‐specific efficiency gains exist in the market for data application due to the consumption synergy and data‐enabled personalization. Prices fall in the market for data collection but generally rise in the market for data application as the efficiency gains are extracted away through personalized pricing. When the consumption synergy is large enough, the merger can result in monopolization of both markets. We discuss policy implications including various merger remedies.