Buy-it-now or Take-a-chance: Price Discrimination through Randomized Auctions
Increasingly detailed consumer information makes sophisticated price discrimination possible. At fine levels of aggregation, demand may not obey standard regularity conditions. We propose a new randomized sales mechanism for such environments. Bidders can "buy-it-now" at a posted price, or "take-a-chance" in an auction where the top d > 1 bidders are equally likely to win. The randomized allocation incentivizes high valuation bidders to buy-it-now. We analyze equilibrium behavior, and apply our analysis to advertiser bidding data from Microsoft Advertising Exchange. In counterfactual simulations, our mechanism increases revenue by 4.4% and consumer surplus by 14.5% compared to an optimal second-price auction.
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- Randall Lewis & Justin M. Rao & David H. Reiley, 2014.
"Measuring the Effects of Advertising: The Digital Frontier,"
in: Economic Analysis of the Digital Economy, pages 191-218
National Bureau of Economic Research, Inc.
- Randall Lewis & Justin M. Rao & David H. Reiley, 2013. "Measuring the Effects of Advertising: The Digital Frontier," NBER Working Papers 19520, National Bureau of Economic Research, Inc.
- Madarász, Kristóf & Prat, Andrea, 2010.
"Screening with an Approximate Type Space,"
CEPR Discussion Papers
7900, C.E.P.R. Discussion Papers.
- Kristóf Madarász & Andrea Prat, 2010. "Screening with an approximate type space," LSE Research Online Documents on Economics 35056, London School of Economics and Political Science, LSE Library.
- Kristóf Madarász & Andrea Prat, 2010. "Screening with an Approximate Type Space," STICERD - Theoretical Economics Paper Series /2010/548, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Courty, Pascal & Li, Hao, 2000.
Review of Economic Studies,
Wiley Blackwell, vol. 67(4), pages 697-717, October.
- Lewis, Tracy R & Sappington, David E M, 1994. "Supplying Information to Facilitate Price Discrimination," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(2), pages 309-27, May.
- PÃ©ter Eső & Bal�zs Szentes, 2007. "Optimal Information Disclosure in Auctions and the Handicap Auction," Review of Economic Studies, Oxford University Press, vol. 74(3), pages 705-731.
- Philip Haile, 2000.
"Inference with an Incomplete Model of English Auctions,"
Econometric Society World Congress 2000 Contributed Papers
1546, Econometric Society.
- Philip A. Haile & Elie Tamer, 2003. "Inference with an Incomplete Model of English Auctions," Journal of Political Economy, University of Chicago Press, vol. 111(1), pages 1-51, February.
- Haile,P.A. & Tamer,E.T., 2000. "Inference with an incomplete model of English auctions," Working papers 18, Wisconsin Madison - Social Systems.
- Ostrovsky, Michael & Schwarz, Michael, 2009. "Reserve Prices in Internet Advertising Auctions: A Field Experiment," Research Papers 2054, Stanford University, Graduate School of Business.
- Avi Goldfarb & Catherine Tucker, 2011. "Online Display Advertising: Targeting and Obtrusiveness," Marketing Science, INFORMS, vol. 30(3), pages 389-404, 05-06.
- Santiago R. Balseiro & Omar Besbes & Gabriel Y. Weintraub, 2012. "Auctions for Online Display Advertising Exchanges: Approximations and Design," Working Papers 12-11, NET Institute.
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