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Review of Economic Studies 2026

Measuring Markets for Network Goods

Leonardo Bursztyn1; Matthew Gentzkow2; Rafael Jiménez-Durán3; Aaron Leonard4; Filip Milojević4; Christopher Roth5

1 University of Chicago & NBER · 2 Stanford University, NBER · 3 Bocconi University, IGIER, CESifo, CEPR, and Stigler Center · 4 University of Chicago · 5 University of Cologne, CESifo, and 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.

DOI
10.1093/restud/rdag099
Language
en
Sources
crossref openalex

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