Multisided Platforms, Big Data, and a Little Antitrust Policy

被引:17
作者
Katz, Michael L. [1 ,2 ]
机构
[1] Univ Calif Berkeley, Haas Sch Business, Strategy & Leadership, Berkeley, CA 94720 USA
[2] Univ Calif Berkeley, Dept Econ, Berkeley, CA 94720 USA
关键词
Multisided platforms; Big data; Antitrust policy; Privacy; EXCLUSIONARY CONDUCT; SECTION; 2; LEARNING-CURVE; PRIVACY; ECONOMICS; COMPETITION; PREDATION; QUALITY; COSTS;
D O I
10.1007/s11151-019-09683-9
中图分类号
F [经济];
学科分类号
02 ;
摘要
Commentators on both the right and the left ends of the political spectrum have called for new and more forceful approaches to antitrust enforcement with respect to large multisided platforms: especially Amazon, Facebook, and Google. In part, these calls have been driven by the fact that these platforms have business models that make extensive use of data about their users. This article surveys what economics has to say about a wide range of antitrust issuesincluding the treatment of exclusionary conduct, merger, and privacythat are raised by multisided platforms' reliance on big data collected about their users.
引用
收藏
页码:695 / 716
页数:22
相关论文
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