kmth price sealed-bid auctions with general independent values and equilibrium linear mark-ups
Martin Skitmore
Additional contact information
Martin Skitmore: Queensland University of Technology, Queensland, Australia
Journal of the Operational Research Society, 2014, vol. 65, issue 12, 1864-1875
Abstract:
A generalised bidding model is developed to calculate a bidder’s expected profit and auctioners expected revenue/payment for both a General Independent Value and Independent Private Value (IPV) kmth price sealed-bid auction (where the mth bidder wins at the kth bid payment) using a linear (affine) mark-up function. The Common Value (CV) assumption, and highbid and lowbid symmetric and asymmetric First Price Auctions and Second Price Auctions are included as special cases. The optimal n bidder symmetric analytical results are then provided for the uniform IPV and CV models in equilibrium. Final comments concern implications, the assumptions involved and prospects for further research.
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.palgrave-journals.com/jors/journal/v65/n12/pdf/jors2013163a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/jors/journal/v65/n12/full/jors2013163a.html Link to full text HTML (text/html)
Access to full text is restricted to subscribers.
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:pal:jorsoc:v:65:y:2014:i:12:p:1864-1875
Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook
More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().