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Search Engine Competition

Author

Listed:
  • Daniel Garcia

Abstract

This paper studies a model of search engine competition with endogenous obfuscation. Platforms may differ in the quality of their search algorithms. I study the impact of this heterogeneity in consumer surplus, seller profits and platform revenue. I show that the dominant platform will typically induce higher prices but that consumers may benefit from asymmetries. I also show that enabling sellers to price-discriminate across platforms is pro-competitive. I then embed the static model in a dynamic setup, whereby past market shares lead to a better search algorithm. The dynamic consideration is pro-competitive but initial asymmetries are persistent.

Suggested Citation

  • Daniel Garcia, 2023. "Search Engine Competition," CESifo Working Paper Series 10856, CESifo.
    • Handle: RePEc:ces:ceswps:_10856
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    File URL: https://www.cesifo.org/DocDL/cesifo1_wp10856.pdf
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    More about this item

    Keywords

    search engine; platform competition; consumer search;
    All these keywords.

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

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