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Cornière, Alexandre de
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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Abstract
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 |
| Subjects: | B- ECONOMIE ET FINANCE |
| Divisions: | TSE-R (Toulouse) |
| Institution: | Université Toulouse 1 Capitole |
| Site: | UT1 |
| Date Deposited: | 28 Feb 2020 08:49 |
| Last Modified: | 27 May 2024 09:31 |
| OAI Identifier: | oai:tse-fr.eu:124102 |
| URI: | https://publications.ut-capitole.fr/id/eprint/34074 |
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- Data and Competition: a General Framework with Applications to Mergers, Market Structure, and Privacy Policy. (deposited 28 Feb 2020 08:49) [Currently Displayed]
