IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/33901.html

Measuring Markets for Network Goods

Author

Listed:
  • Leonardo Bursztyn
  • Matthew Gentzkow
  • Rafael Jiménez-Durán
  • Aaron Leonard
  • Filip Milojević
  • Christopher Roth

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," NBER Working Papers 33901, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:33901
    Note: IO
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w33901.pdf
    Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. repec:ces:ceswps:_12257 is not listed on IDEAS

    More about this item

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L0 - Industrial Organization - - General
    • L40 - Industrial Organization - - Antitrust Issues and Policies - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:33901. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.