Probabilistic procurement auctions
Thomas Giebe and
Paul Schweinzer
Review of Economic Design, 2015, vol. 19, issue 1, 25-46
Abstract:
We analyse procurement auctions in which sellers are distinguished on the basis of the ratios of quality per unit of money that they offer. Sellers are privately informed on the offered quality of the technology or good. We assume that the procurer cannot perfectly identify the best offer. Thus, with positive and decreasing probability, the second, third, etc. best ratio offered is selected as the winner of the auction. We model this decision process as based on a general noisy ranking of offers. We show that, although the problem seems to be analytically intractable in general, there exists a simple symmetric, pure-strategy equilibrium in which everyone follows the simple heuristic to match the same ‘focal’ price–quality ratio. Copyright Springer-Verlag Berlin Heidelberg 2015
Keywords: Auctions; Contests; Price–quality ratio; Procurement; Scoring; C7; D7; H57 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://hdl.handle.net/10.1007/s10058-014-0161-6 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Probabilistic Procurement Auctions (2013) 
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:spr:reecde:v:19:y:2015:i:1:p:25-46
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10058
DOI: 10.1007/s10058-014-0161-6
Access Statistics for this article
Review of Economic Design is currently edited by Atila Abdulkadiroglu, Fuhito Kojima and Tilman Börgers
More articles in Review of Economic Design from Springer, Society for Economic Design
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().