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Measuring Markets for Network Goods

Author

Listed:
  • Leonardo Bursztyn

    (University of Chicago & NBER)

  • Matthew Gentzkow

    (Stanford University & NBER)

  • Rafael Jiménez-Durán

    (Bocconi University, IGIER, CESifo, & Chicago Booth Stigler Center)

  • Aaron Leonard

  • Filip Milojević

    (University of Chicago)

  • Christopher Roth

    (University of Cologne, NHH Norwegian School of Economics, Max Planck Institute for Research on Collective Goods, CESifo, & CEPR)

Abstract

Market definition is challenging in settings with network effects, where substitution patterns depend on changes in network size. We study these effects in the context of social media. We conduct an incentivized experiment comparing substitution in response to a proposed U.S. TikTok ban, in which all users simultaneously leave the app, with substitution when only a single user deactivates. We find substantially higher valuations of alternative social apps under a collective TikTok ban than under an individual TikTok deactivation. Mechanism evidence shows that both anticipated content-supply shifts and social coordination partly explain the wedge, with the relative importance of each channel varying across platforms. We then show that a collective time limit challenge, where peers jointly reduce TikTok and Instagram use, leads to more time spent on alternative social apps than has been observed in prior individual deactivation experiments. Together, our results suggest that individual-level substitution estimates can be an unreliable guide to market definition for network goods.

Suggested Citation

  • Leonardo Bursztyn & Matthew Gentzkow & Rafael Jiménez-Durán & Aaron Leonard & Filip Milojević & Christopher Roth, 2025. "Measuring Markets for Network Goods," ECONtribute Discussion Papers Series 363, University of Bonn and University of Cologne, Germany.
  • Handle: RePEc:ajk:ajkdps:363
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    References listed on IDEAS

    as
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    1. repec:ces:ceswps:_12257 is not listed on IDEAS
    2. Kevin Zielnicki & Guy Aridor & Aur'elien Bibaut & Allen Tran & Winston Chou & Nathan Kallus, 2025. "The Value of Personalized Recommendations: Evidence from Netflix," Papers 2511.07280, arXiv.org, revised Mar 2026.

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    Keywords

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    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L00 - Industrial Organization - - General - - - General
    • L40 - Industrial Organization - - Antitrust Issues and Policies - - - General

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