| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP14446 |
| DP14446 Data and Competition: a Simple Framework with Applications to Mergers and Market Structure | |
| Alexandre de Cornière; Greg Taylor | |
| 发表日期 | 2022-03-08 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | What role does data play in competition? This question has been at the center of a fierce debate around competition policy in the digital economy. We provide a simple framework for studying the competitive effects of data, encompassing a wide range of applications (product improvement, targeted advertising, price-discrimination) using a competition-in-utilities approach. We model data as a revenue-shifter, and identify conditions for data to be pro- or anti-competitive. The conditions are simple and often do not require knowledge of market demand or calculation of equilibrium. We use this framework to address policy-relevant questions related to market structure and data-driven mergers. We show that the effects of a data-driven merger between firms operating on adjacent markets depend both on whether data is pro- or anti-competitive and on firms' ability to trade data absent the merger. |
| 主题 | Industrial Organization |
| 关键词 | Competition Big data Data-driven mergers Privacy |
| URL | https://cepr.org/publications/dp14446-2 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/546061 |
| 推荐引用方式 GB/T 7714 | Alexandre de Cornière,Greg Taylor. DP14446 Data and Competition: a Simple Framework with Applications to Mergers and Market Structure. 2022. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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