• DocumentCode
    2247898
  • Title

    The Mechanism Design of Multi-attribute Auctions

  • Author

    Yan, Pei Sheng ; Wang, Xian-jia

  • Author_Institution
    Syst. Eng. Inst., Wuhan Univ., Wuhan
  • Volume
    1
  • fYear
    2008
  • fDate
    19-19 Dec. 2008
  • Firstpage
    299
  • Lastpage
    302
  • Abstract
    In this paper we consider an extension of the traditional auction mechanism, the multi-attribute auction, which enables negotiation on several attributes in addition to the price of the item. In particular, we consider a procurement auction in which the buyer is the auctioneer and the sellers are the bidders. We set up the model of multi-attribute auctions where sellers bid on price and the other attributes, and bids are evaluated by a scoring rule designed by the buyer. We educe the optimal auction mechanism by analyzing the incentive compatibility. In addition, we find that the optimal attributes are chosen independently of the price and the sellerpsilas beliefs about the other participants, so we get the optimal score rule and an extension of the equivalence theory of the single attribute for the case of multi-attribute auctions. Finally, we implement the optimal mechanism by three auctions: the first-score-sealed-bid auction, the second-score sealed-bid auction and the English auction.
  • Keywords
    commerce; incentive schemes; procurement; English auction; first-score-sealed-bid auction; incentive compatibility; mechanism design; multiattribute auctions; optimal auction mechanism; procurement auction; second-score sealed-bid auction; Contracts; Government; Information management; Mathematics; Multidimensional systems; Procurement; Protocols; Seminars; Statistics; Systems engineering and theory; incentive compatibility; mechanism design; multi-attribute auctions; optimal mechaism; revenue equivalence theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business and Information Management, 2008. ISBIM '08. International Seminar on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3560-9
  • Type

    conf

  • DOI
    10.1109/ISBIM.2008.195
  • Filename
    5117488