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Data Union and Regulation in a Data Economy

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Listed:
  • Lin William Cong
  • Simon Mayer

Abstract

In a model of data-driven firm competition, data are jointly produced by users, buying firms’ services and contributing data, and firms, investing in data infrastructure and collection. Data collection improves services, benefiting users, but may reduce competition, harming users. Dispersed users do not internalize the impact of their data contribution on (i) service quality, (ii) competition, and (iii) firms’ investment incentives, causing inefficient data over- or underinvestment. Unlike data sharing, user privacy protection policies, or data markets, a data union — which coordinates users’ data contributions — or data trust — which intermediates data sales — can address these inefficiencies.

Suggested Citation

  • Lin William Cong & Simon Mayer, 2023. "Data Union and Regulation in a Data Economy," NBER Working Papers 30881, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:30881
    Note: CF IO PR
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    More about this item

    JEL classification:

    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices
    • L50 - Industrial Organization - - Regulation and Industrial Policy - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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