IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/17942.html
   My bibliography  Save this paper

Bid Coordination in Sponsored Search Auctions: Detection Methodology and Empirical Analysis

Author

Listed:
  • Decarolis, Francesco
  • Goldmanis, Maris
  • Penta, Antonio
  • Shakhgildyan, Ksenia

Abstract

Bid delegation to specialized intermediaries is common in the auction systems used to sell internet advertising. When the same intermediary concentrates the demand for ad space from competing advertisers, its incentive to coordinate client bids might alter the functioning of the auctions. This study develops a methodology to detect bid coordination, and presents a strategy to estimate a bound on the search engine revenue losses imposed by coordination relative to a counterfactual benchmark of competitive bidding. Using proprietary data from auctions held on a major search engine, coordination is detected in 55 percent of the cases of delegated bidding that we observed, and the associated upper bound on the search engine’s revenue loss ranges between 5.3 and 10.4 percent.

Suggested Citation

  • Decarolis, Francesco & Goldmanis, Maris & Penta, Antonio & Shakhgildyan, Ksenia, 2023. "Bid Coordination in Sponsored Search Auctions: Detection Methodology and Empirical Analysis," CEPR Discussion Papers 17942, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:17942
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP17942
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Francesco Decarolis & Gabriele Rovigatti, 2021. "From Mad Men to Maths Men: Concentration and Buyer Power in Online Advertising," American Economic Review, American Economic Association, vol. 111(10), pages 3299-3327, October.
    2. Kalai, Adam Tauman & Kalai, Ehud & Lehrer, Ehud & Samet, Dov, 2010. "A commitment folk theorem," Games and Economic Behavior, Elsevier, vol. 69(1), pages 127-137, May.
    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. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    5. Ashlagi, Itai & Monderer, Dov & Tennenholtz, Moshe, 2009. "Mediators in position auctions," Games and Economic Behavior, Elsevier, vol. 67(1), pages 2-21, September.
    6. Jakub Kastl, 2011. "Discrete Bids and Empirical Inference in Divisible Good Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(3), pages 974-1014.
    7. Che, Yeon-Koo & Choi, Syngjoo & Kim, Jinwoo, 2017. "An experimental study of sponsored-search auctions," Games and Economic Behavior, Elsevier, vol. 102(C), pages 20-43.
    8. Tilman B?rgers & Ingemar Cox & Martin Pesendorfer & Vaclav Petricek, 2013. "Equilibrium Bids in Sponsored Search Auctions: Theory and Evidence," American Economic Journal: Microeconomics, American Economic Association, vol. 5(4), pages 163-187, November.
    9. Przemyslaw Jeziorski & Ilya Segal, 2015. "What Makes Them Click: Empirical Analysis of Consumer Demand for Search Advertising," American Economic Journal: Microeconomics, American Economic Association, vol. 7(3), pages 24-53, August.
    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. Francesco Decarolis & Maris Goldmanis & Antonio Penta, 2020. "Marketing Agencies and Collusive Bidding in Online Ad Auctions," Management Science, INFORMS, vol. 66(10), pages 4433-4454, October.
    2. Francesco Decarolis & Gabriele Rovigatti, 2021. "From Mad Men to Maths Men: Concentration and Buyer Power in Online Advertising," American Economic Review, American Economic Association, vol. 111(10), pages 3299-3327, October.
    3. Shijie Lu & Yi Zhu & Anthony Dukes, 2015. "Position Auctions with Budget Constraints: Implications for Advertisers and Publishers," Marketing Science, INFORMS, vol. 34(6), pages 897-905, November.
    4. Davydov, D. & Izmalkov, S. & Smirnov, A., 2015. "Sponsored-Search Auctions: Empirical and Experimental Works," Journal of the New Economic Association, New Economic Association, vol. 28(4), pages 56-73.
    5. Patrick Hummel, 2018. "Hybrid mechanisms for Vickrey–Clarke–Groves and generalized second-price bids," International Journal of Game Theory, Springer;Game Theory Society, vol. 47(1), pages 331-350, March.
    6. Bae, Jinsoo & Kagel, John H., 2019. "An experimental study of the generalized second price auction," International Journal of Industrial Organization, Elsevier, vol. 63(C), pages 44-68.
    7. Kaplan, Todd R. & Zamir, Shmuel, 2015. "Advances in Auctions," Handbook of Game Theory with Economic Applications,, Elsevier.
    8. Pengfei Liu, 2021. "Balancing Cost Effectiveness and Incentive Properties in Conservation Auctions: Experimental Evidence from Three Multi-award Reverse Auction Mechanisms," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(3), pages 417-451, March.
    9. Emmanuel LORENZON, 2016. "Collusion with a Greedy Center in Position Auctions," Cahiers du GREThA (2007-2019) 2016-08, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    10. Joseph Golden & John Joseph Horton, 2021. "The Effects of Search Advertising on Competitors: An Experiment Before a Merger," Management Science, INFORMS, vol. 67(1), pages 342-362, January.
    11. Che, Yeon-Koo & Choi, Syngjoo & Kim, Jinwoo, 2017. "An experimental study of sponsored-search auctions," Games and Economic Behavior, Elsevier, vol. 102(C), pages 20-43.
    12. Francesco Decarolis & Gabriele Rovigatti, 2017. "Online Auctions and Digital Marketing Agencies," Working Papers 17-08, NET Institute.
    13. Pallavi Pal, 2023. "Sponsored Search Auction and the Revenue- Maximizing Number of Ads per Page," CESifo Working Paper Series 10299, CESifo.
    14. Forges, Françoise, 2013. "A folk theorem for Bayesian games with commitment," Games and Economic Behavior, Elsevier, vol. 78(C), pages 64-71.
    15. Cumpston, Anne & Khezr, Peyman, 2020. "Multi-Unit Auctions: A Survey of Theoretical Literature," MPRA Paper 101336, University Library of Munich, Germany.
    16. Massimo Motta & Antonio Penta, 2022. "Market effects of sponsored search auctions," Economics Working Papers 1844, Department of Economics and Business, Universitat Pompeu Fabra.
    17. Yi Zhu & Kenneth C. Wilbur, 2008. "Strategic Bidding in Hybrid CPC/CPM Auctions," Working Papers 08-25, NET Institute, revised Oct 2008.
    18. Committee, Nobel Prize, 2020. "Improvements to auction theory and inventions of new auction formats," Nobel Prize in Economics documents 2020-2, Nobel Prize Committee.
    19. McLaughlin, Kevin & Friedman, Daniel, 2016. "Online ad auctions: An experiment," Discussion Papers, Research Professorship Market Design: Theory and Pragmatics SP II 2016-501, WZB Berlin Social Science Center.
    20. Przemys?aw Jeziorski & Sridhar Moorthy, 2018. "Advertiser Prominence Effects in Search Advertising," Management Science, INFORMS, vol. 64(3), pages 1365-1383, March.

    More about this item

    Keywords

    Delegation;

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

    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:cpr:ceprdp:17942. 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: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

    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.