Comparing predicted prices in auctions for online advertising
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.
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Volume (Year): 30 (2012)
Issue (Month): 1 ()
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Benjamin Edelman & Michael Ostrovsky & Michael Schwarz, 2007.
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- Benjamin Edelman & Michael Ostrovsky & Michael Schwarz, 2005. "Internet Advertising and the Generalized Second Price Auction: Selling Billions of Dollars Worth of Keywords," NBER Working Papers 11765, National Bureau of Economic Research, Inc.
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3612768, Harvard University Department of Economics.
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- Susan Athey & Jonathan Levin, 1999. "Information and Competition in U.S. Forest Service Timber Auctions," NBER Working Papers 7185, National Bureau of Economic Research, Inc.
- Susan Athey & Jonathan Levin, 1999. "Information and Competition in U.S. Forest Service Timber Auctions," Working papers 99-12, Massachusetts Institute of Technology (MIT), Department of Economics.
- Krishna, Vijay, 2002. "Auction Theory," Elsevier Monographs, Elsevier, edition 1, number 9780124262973.
- Jorion, Philippe, 1986. "Bayes-Stein Estimation for Portfolio Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(03), pages 279-292, September.
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- Hal R. Varian, 2009. "Online Ad Auctions," American Economic Review, American Economic Association, vol. 99(2), pages 430-434, May.
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