de Cornière, Alexandre and Taylor, Greg (2020) Data and Competition: a General Framework with Applications to Mergers, Market Structure, and Privacy Policy. TSE Working Paper, n. 20-1076, Toulouse

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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 use a competition-in-utilities approach to provide a general framework for studying the competitive effects of data, encompassing a wide range of markets where data has many different uses. We identify conditions for data to be unilaterally proor anti-competitive (UPC or UAC). The conditions are simple and often require no information about market demand. We apply our framework to study various applications of data, including training algorithms, targeting advertisements, and personalizing prices. We also show that whether data is UPC or UAC has important implications for policy issues such as data-driven mergers, market structure, and privacy policy.

Item Type: Monograph (Working Paper)
Language: English
Date: February 2020
Place of Publication: Toulouse
JEL Classification: L1 - Market Structure, Firm Strategy, and Market Performance
L4 - Antitrust Issues and Policies
L5 - Regulation and Industrial Policy
Divisions: TSE-R (Toulouse)
Institution: Université Toulouse 1 Capitole
Site: UT1
Date Deposited: 28 Feb 2020 08:49
Last Modified: 03 Feb 2023 14:31
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