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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- repec:cup:cbooks:9780521536721 is not listed on IDEAS
- Susan Athey & Jonathan Levin, 1999.
"Information and Competition in U.S. Forest Service Timber Auctions,"
99-12, Massachusetts Institute of Technology (MIT), Department of Economics.
- Susan Athey & Jonathan Levin, 2001. "Information and Competition in U.S. Forest Service Timber Auctions," Journal of Political Economy, University of Chicago Press, vol. 109(2), pages 375-417, April.
- Levin, Jonathan & Athey, Susan, 2001. "Information and Competition in U.S. Forest Service Timber Auctions," Scholarly Articles 3612768, Harvard University Department of Economics.
- 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.
- Thaler, Richard H, 1988. "Anomalies: The Winner's Curse," Journal of Economic Perspectives, American Economic Association, vol. 2(1), pages 191-202, Winter.
- Benjamin Edelman & Michael Ostrovsky & Michael Schwarz, 2007.
"Internet Advertising and the Generalized Second-Price Auction: Selling Billions of Dollars Worth of Keywords,"
American Economic Review,
American Economic Association, vol. 97(1), pages 242-259, March.
- 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.
- Hal R. Varian, 2009. "Online Ad Auctions," American Economic Review, American Economic Association, vol. 99(2), pages 430-34, May.
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- 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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