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Data-Driven Mergers and Personalization

  • Zhijun Chen
  • , Chongwoo Choe
  • , Jiajia Cong
  • , Noriaki Matsushima

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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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.

© 2022 The Authors. The RAND Journal of Economics published by Wiley Periodicals LLC on behalf of The RAND Corporation
Original languageEnglish
Pages (from-to)3-31
JournalRAND Journal of Economics
Volume53
Issue number1
Online published21 Jan 2022
DOIs
Publication statusPublished - 2022
Externally publishedYes

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

Policy Impact

  • Cited in Policy Documents

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