• DocumentCode
    3710120
  • Title

    Optimal Auctions vs. Anonymous Pricing

  • Author

    Saeed Alaei;Jason Hartline;Rad Niazadeh;Emmanouil Pountourakis;Yang Yuan

  • Author_Institution
    Google Res., Mountain View, CA, USA
  • fYear
    2015
  • Firstpage
    1446
  • Lastpage
    1463
  • Abstract
    For selling a single item to agents with independent but non-identically distributed values, the revenue optimal auction is complex. With respect to it, Hartline and Rough garden showed that the approximation factor of the second-price auction with an anonymous reserve is between two and four. We consider the more demanding problem of approximating the revenue of the ex ante relaxation of the auction problem by posting an anonymous price (while supplies last) and prove that their worst-case ratio is e. As a corollary, the upper-bound of anonymous pricing or anonymous reserves versus the optimal auction improves from four to e. We conclude that, up to an e factor, discrimination and simultaneity are unimportant for driving revenue in single-item auctions.
  • Keywords
    "Pricing","Approximation methods","Upper bound","Standards","Computer science","Electronic mail","Optimization"
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science (FOCS), 2015 IEEE 56th Annual Symposium on
  • ISSN
    0272-5428
  • Type

    conf

  • DOI
    10.1109/FOCS.2015.92
  • Filename
    7354466