IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-01510254.html
   My bibliography  Save this paper

Integration and search engine bias

Author

Listed:
  • Alexandre de Cornière

    (University of Oxford)

  • Greg Taylor

    (University of Oxford)

Abstract

We study the effects of integration between a search engine and a publisher. In a model in which the search engine (i) allocates users across publishers and (ii) competes with publishers to attract advertisers, we find that the search engine is biased against publishers that display many ads – even without integration. Integration can (but need not) lead to own-content bias. It can also benefit consumers by reducing the nuisance costs due to excessive advertising. Advertisers are more likely to suffer from integration than consumers. On net, the welfare effects of integration are ambiguous.

Suggested Citation

  • Alexandre de Cornière & Greg Taylor, 2014. "Integration and search engine bias," Post-Print halshs-01510254, HAL.
    • Handle: RePEc:hal:journl:halshs-01510254
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Susan Athey & Glenn Ellison, 2011. "Position Auctions with Consumer Search," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(3), pages 1213-1270.
    2. Attila Ambrus & Emilio Calvano & Markus Reisinger, 2016. "Either or Both Competition: A "Two-Sided" Theory of Advertising with Overlapping Viewerships," American Economic Journal: Microeconomics, American Economic Association, vol. 8(3), pages 189-222, August.
    3. Benjamin Edelman & Michael Ostrovsky & Michael Schwarz, 2007. "Internet Advertising and the Generalized Second-Price Auction: Selling Billions of Dollars Worth of Keywords," American Economic Review, American Economic Association, vol. 97(1), pages 242-259, March.
    4. White, Alexander, 2013. "Search engines: Left side quality versus right side profits," International Journal of Industrial Organization, Elsevier, vol. 31(6), pages 690-701.
    5. Yongmin Chen & Chuan He, 2011. "Paid Placement: Advertising and Search on the Internet," Economic Journal, Royal Economic Society, vol. 121(556), pages 309-328, November.
    6. Mark Armstrong & Jidong Zhou, 2011. "Paying for Prominence," Economic Journal, Royal Economic Society, vol. 121(556), pages 368-395, November.
    7. Matthew Ellman & Fabrizio Germano, "undated". "What Do the Papers Sell?," Working Papers 149, Barcelona School of Economics.
    8. Varian, Hal R., 2007. "Position auctions," International Journal of Industrial Organization, Elsevier, vol. 25(6), pages 1163-1178, December.
    9. Kfir Eliaz & Ran Spiegler, 2011. "A Simple Model of Search Engine Pricing," Economic Journal, Royal Economic Society, vol. 121(556), pages 329-339, November.
    10. Jay Pil Choi & Byung‐Cheol Kim, 2010. "Net neutrality and investment incentives," RAND Journal of Economics, RAND Corporation, vol. 41(3), pages 446-471, September.
    11. Tarantino, Emanuele, 2013. "A simple model of vertical search engines foreclosure," Telecommunications Policy, Elsevier, vol. 37(1), pages 1-12.
    12. Simon P. Anderson & Stephen Coate, 2005. "Market Provision of Broadcasting: A Welfare Analysis," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 947-972.
    13. Greg Taylor, 2013. "Search Quality and Revenue Cannibalization by Competing Search Engines," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 22(3), pages 445-467, September.
    14. Matthew Ellman & Fabrizio Germano, 2009. "What do the Papers Sell? A Model of Advertising and Media Bias," Economic Journal, Royal Economic Society, vol. 119(537), pages 680-704, April.
    15. Roman Inderst & Marco Ottaviani, 2012. "Competition through Commissions and Kickbacks," American Economic Review, American Economic Association, vol. 102(2), pages 780-809, April.
    16. Andrei Hagiu & Bruno Jullien, 2011. "Why do intermediaries divert search?," RAND Journal of Economics, RAND Corporation, vol. 42(2), pages 337-362, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Burguet, Roberto & Caminal, Ramon & Ellman, Matthew, 2015. "In Google we trust?," International Journal of Industrial Organization, Elsevier, vol. 39(C), pages 44-55.
    2. Peitz, Martin & Reisinger, Markus, 2014. "The Economics of Internet Media," Working Papers 14-23, University of Mannheim, Department of Economics.
    3. White, Alexander, 2013. "Search engines: Left side quality versus right side profits," International Journal of Industrial Organization, Elsevier, vol. 31(6), pages 690-701.
    4. Hagiu, Andrei & Jullien, Bruno, 2014. "Search diversion and platform competition," International Journal of Industrial Organization, Elsevier, vol. 33(C), pages 48-60.
    5. Chen, Yongmin & Zhang, Tianle, 2018. "Intermediaries and consumer search," International Journal of Industrial Organization, Elsevier, vol. 57(C), pages 255-277.
    6. Fei Long & Kinshuk Jerath & Miklos Sarvary, 2022. "Designing an Online Retail Marketplace: Leveraging Information from Sponsored Advertising," Marketing Science, INFORMS, vol. 41(1), pages 115-138, January.
    7. Alaoui, Larbi & Germano, Fabrizio, 2020. "Time scarcity and the market for news," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 173-195.
    8. Casner, Ben, 2020. "Seller curation in platforms," International Journal of Industrial Organization, Elsevier, vol. 72(C).
    9. Mark Armstrong & Jidong Zhou, 2011. "Paying for Prominence," Economic Journal, Royal Economic Society, vol. 121(556), pages 368-395, November.
    10. Greg Taylor, 2013. "Search Quality and Revenue Cannibalization by Competing Search Engines," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 22(3), pages 445-467, September.
    11. Renato Gomes, 2014. "Optimal auction design in two-sided markets," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 248-272, June.
    12. Moraga-Gonzalez, Jose L. & Wildenbeest, Matthijs R., 2011. "Comparison sites," IESE Research Papers D/933, IESE Business School.
      • Jose Luis Moraga-Gonzalez & Matthijs R. Wildenbeest, 2011. "Comparison Sites," Working Papers 2011-04, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    13. Martin Peitz, 2024. "The Economic Theory of Two-Sided Platforms," CRC TR 224 Discussion Paper Series crctr224_2024_584, University of Bonn and University of Mannheim, Germany.
    14. Dirk Bergemann & Alessandro Bonatti, 2010. "Targeting in Advertising Markets: Implications for Offline vs. Online Media," Cowles Foundation Discussion Papers 1758, Cowles Foundation for Research in Economics, Yale University.
    15. Jan Krämer, & Daniel Schnurr,, 2018. "Is there a need for platform neutrality regulation in the EU?," Telecommunications Policy, Elsevier, vol. 42(7), pages 514-529.
    16. Jens Prüfer & Christoph Schottmüller, 2021. "Competing with Big Data," Journal of Industrial Economics, Wiley Blackwell, vol. 69(4), pages 967-1008, December.
    17. Yongmin Chen, 2024. "Search and Competition Under Product Quality Uncertainty," Journal of Industrial Economics, Wiley Blackwell, vol. 72(2), pages 633-661, June.
    18. Alexandre de Cornière, 2016. "Search Advertising," American Economic Journal: Microeconomics, American Economic Association, vol. 8(3), pages 156-188, August.
    19. Paul Belleflamme & Martin Peitz, 2018. "Inside the Engine Room of Digital Platforms: Reviews, Ratings, and Recommendations," Working Papers halshs-01714549, HAL.
    20. Huang, Yangguang & Xie, Yu, 2023. "Search algorithm, repetitive information, and sales on online platforms," International Journal of Industrial Organization, Elsevier, vol. 88(C).

    More about this item

    Keywords

    search engine;

    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L4 - Industrial Organization - - Antitrust Issues and Policies
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    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:hal:journl:halshs-01510254. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.