Economics at your fingertips  

Comparing predicted prices in auctions for online advertising

Eric Bax, Anand Kuratti, Randolph McAfee and Julian Romero ()

International Journal of Industrial Organization, 2012, vol. 30, issue 1, 80-88

Abstract: Online publishers sell opportunities to show ads. Some advertisers pay only if their ad elicits a user response. Publishers estimate response rates for ads in order to estimate expected revenues from showing the ads. Then publishers select ads that maximize estimated expected revenue.

Keywords: Reversion; Validation; Bias; Auction; Prediction (search for similar items in EconPapers)
JEL-codes: C13 C44 C45 D81 D84 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

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:

DOI: 10.1016/j.ijindorg.2011.06.001

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 Haili He ().

Page updated 2020-05-27
Handle: RePEc:eee:indorg:v:30:y:2012:i:1:p:80-88