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Identifying Demand in Ebay Auctions

Christopher Adams
Federal Trade Commission - Bureau of Economics


July 2004

FTC Bureau of Economics Working Paper No. 272

Abstract:     
This paper presents assumptions and identification results for eBay type auctions. These results are for private value auctions covering three major issues; censoring bias, auction heterogeneity and dynamic bidding. The first section of the paper presents two identification results for second price open call auctions with private values and unobserved participation (eBay type auctions). The second section presents identification results for eBay type auctions that have either observed bidder heterogeneity, observed and unobserved item heterogeneity or unobserved auction heterogeneity. In particular it is shown that a traditional demand estimation model is identified. The third section presents identification results when bidders face an infinite sequence of eBay type auctions for a single item.

Keywords: Internet auctions, non-parametric identification, censoring bias, demand estimation

JEL Classifications: C14, D44

Working Paper Series

Date posted: July 19, 2004 ; Last revised: July 19, 2004

Suggested Citation

Adams, Christopher, Identifying Demand in Ebay Auctions (July 2004). FTC Bureau of Economics Working Paper No. 272. Available at SSRN: http://ssrn.com/abstract=565043


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Contact Information

Christopher Adams (Contact Author)
Federal Trade Commission - Bureau of Economics ( email )
601 Pennsylvania Avenue, NW
Rm. 4210
Washington, DC 20580
United States
202-326-2592 (Phone)
202-326-3443 (Fax)
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References: 28
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