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
Link To Document :
بازگشت