sis 16(11): e4

Research Article

Adverse Selection and Auction Design for Internet Display Advertising

Download916 downloads
  • @ARTICLE{10.4108/eai.8-8-2015.2260678,
        author={Nicholas Arnosti and Marissa Beck and Paul Milgrom},
        title={Adverse Selection and Auction Design for Internet Display Advertising},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={3},
        number={11},
        publisher={ACM},
        journal_a={SIS},
        year={2015},
        month={8},
        keywords={auctions, adverse selection, market design},
        doi={10.4108/eai.8-8-2015.2260678}
    }
    
  • Nicholas Arnosti
    Marissa Beck
    Paul Milgrom
    Year: 2015
    Adverse Selection and Auction Design for Internet Display Advertising
    SIS
    EAI
    DOI: 10.4108/eai.8-8-2015.2260678
Nicholas Arnosti1,*, Marissa Beck1, Paul Milgrom1
  • 1: Stanford University
*Contact email: narnosti@stanford.edu

Abstract

We model an online display advertising environment with brand advertisers and better-informed performance advertisers, and seek an auction mechanism that is strategy-proof, anonymous and insulates brand advertisers from adverse selection. We find that the only such mechanism that is also false-name proof assigns the item to the highest bidding performance advertiser only when the ratio of the highest bid to the second highest bid is sufficiently large. For fat-tailed match-value distributions, this new mechanism captures most of the gains from good matching and improves match values substantially compared to the common practice of setting aside impressions in advance.