Contingent payment auction mechanism in multidimensional procurement auctions
Hong Wang
European Journal of Operational Research, 2013, vol. 224, issue 2, 404-413
Abstract:
This paper considers the auctioning of an indivisible project among several suppliers who hold private information about their own efficiency type. Both quality and price need to be determined. Different from scoring auctions, we present a new method, i.e., contingent payment auction mechanism (CPAM), which can effectively deal with the optimal procurement strategy in multidimensional procurement auctions. CPAM can implement the optimal mechanism for the buyer and is thus optimal among all possible procurement strategies. CPAM implies that the buyer should first design and announce a contingent payment function that specifies a payment for each possible quality level before the bidding begins. Compared to scoring auctions, CPAM has some advantages. It does not require a special form of scoring rule and can be generalized in a more broad auction formats. Furthermore, it can help us to solve the ex post moral hazard problem. We consider two kinds of CPAM. For the CPAM I is sensitive to different auction formats, we come up with CPAM II which can improve the performance of CPAM I. Broadly speaking, CPAM integrates the idea of dimension reduction from scoring auction into that of incentive contract design from contract theory to solve the problem of ex post moral hazard.
Keywords: Multidimensional auction; Procurement auction; Incentive contract; Contingent payment (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221712006029
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:224:y:2013:i:2:p:404-413
DOI: 10.1016/j.ejor.2012.08.002
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().