Incumbency and entry in license auctions: The Anglo-Dutch auction meets another simple alternative
Helmuts Azacis and
Roberto Burguet
International Journal of Industrial Organization, 2008, vol. 26, issue 3, 730-745
Abstract:
The existence of ex-ante strong incumbents may constitute a barrier to entry in auctions for goods such as licenses. Favoring the allocation to entrants is a way to induce entry and thus create competition. Designs such as the Anglo-Dutch auction have been proposed with this goal in mind. We first show that the Anglo-Dutch auction does indeed foster entry and increases the revenues of the seller. However, we argue that a more effective way could be to stage the allocation of the good so that each stage reveals information about the participants. We show that a sequence of English auctions, with high reserve prices in early rounds, fulfils this property and is more efficient than any one-stage entry auction. Moreover, it also outperforms the Anglo-Dutch auction in terms of seller's revenues.
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7187(07)00076-8
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Incumbency and Entry in Licence Auctions: The Anglo-Dutch Auctions Meets other Simple Alternatives (2005) 
Working Paper: Incumbency and Entry in License Auctions: The Anglo-Dutch Auction Meets Other Simple Alternatives (2005) 
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:indorg:v:26:y:2008:i:3:p:730-745
Access Statistics for this article
International Journal of Industrial Organization is currently edited by P. Bajari, B. Caillaud and N. Gandal
More articles in International Journal of Industrial Organization from Elsevier
Bibliographic data for series maintained by Catherine Liu ().