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Sources of Market Power in Web Search: Evidence from a Field Experiment

Author

Listed:
  • Hunt Allcott
  • Juan Camilo Castillo
  • Matthew Gentzkow
  • Leon Musolff
  • Tobias Salz

Abstract

We evaluate the economic forces that contribute to Google’s large market share in web search. We develop a model of search engine demand in which consumer choices are influenced by switching costs, quality beliefs, and inattention, and estimate it using a field experiment with US desktop internet users. We find that (i) requiring Google users to make an active choice among search engines increases Bing’s market share by only 1.1 percentage points, implying that switching costs play a limited role; (ii) Google users who accept our payment to try Bing for two weeks update positively about its relative quality, with 33 percent preferring to continue using it; and (iii) after changing the default from Google to Bing, many users do not switch back, consistent with persistent inattention. In our model, correcting beliefs and removing choice frictions would increase Bing’s market share by 15 percentage points and increase consumer surplus by $6 per consumer-year. Policies that expose users to alternative search engines lower Google’s market share more than those requiring active choice. We then use Microsoft search logs to assess the impact of additional data on search result relevance. The results suggest that sharing Google’s click-and-query data with Microsoft may have a limited effect on market shares.

Suggested Citation

  • Hunt Allcott & Juan Camilo Castillo & Matthew Gentzkow & Leon Musolff & Tobias Salz, 2025. "Sources of Market Power in Web Search: Evidence from a Field Experiment," NBER Working Papers 33410, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:33410
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    More about this item

    JEL classification:

    • L4 - Industrial Organization - - Antitrust Issues and Policies
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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