Sequencing strategies in large, competitive, ascending price automobile auctions: An experimental examination
David Grether and
Charles Plott ()
Journal of Economic Behavior & Organization, 2009, vol. 71, issue 2, 75-88
Abstract:
This paper reports on a large-scale field experiment testing strategies available to a seller participating in simultaneous competitive sequential ascending price automobile auctions. Every other week, the seller offered approximately 100 vehicles for sale in an auction environment in which several competing sellers offered on the order of 3000 vehicles. The experiment tested various sequences in which the seller could offer the vehicles, such as high values first or low values first. Surprisingly, and contrary to intuition drawn from the theory of single item and single seller auctions, the worst performing sequence from those tested is for the seller to order vehicles from highest to lowest values. The best sequence is to group the vehicles by type and offer the low valued vehicles first and then move to offer the higher valued vehicles.
Keywords: Auctions; Used; automobile; Orders; Multiple; goods (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-2681(09)00062-6
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Sequencing strategies in large, competitive, ascending price automobile auctions: An experimental examination 
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:jeborg:v:71:y:2009:i:2:p:75-88
Access Statistics for this article
Journal of Economic Behavior & Organization is currently edited by Houser, D. and Puzzello, D.
More articles in Journal of Economic Behavior & Organization from Elsevier
Bibliographic data for series maintained by Catherine Liu ().