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Position Auctions with Bidder-Specific Minimum Prices

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Internet and Network Economics (WINE 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5385))

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Abstract

Position auctions such as the Generalized Second Price (GSP) auction are in wide use for sponsored search, e.g., by Yahoo! and Google. We now have an understanding of the equilibria of these auctions, via game-theoretic concepts like Generalized English Auctions and the “locally envy-free” property, as well as through a relationship to the well-known, truthful Vickrey-Clarke-Groves (VCG) mechanism. In practice, however, position auctions are implemented with additional constraints, in particular, bidder-specific minimum prices are enforced by all major search engines. The minimum prices are used to control the quality of the ads that appear on the page.

We study the effect of bidder-specific minimum prices in position auctions with an emphasis on GSP. Some properties proved for standard GSP no longer hold in this setting. For example, we show that the GSP allocation is now not always efficient (in terms of advertiser value). Also, the property of “envy-locality” enjoyed by GSP—which is essential in the prior analysis of strategies and equilibria—no longer holds. Our main result is to show that despite losing envy locality, GSP with bidder-specific minimum prices still has an envy-free equilibrium. We conclude by studying the effect of bidder-specific minimum prices on VCG auctions.

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© 2008 Springer-Verlag Berlin Heidelberg

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Even-Dar, E., Feldman, J., Mansour, Y., Muthukrishnan, S. (2008). Position Auctions with Bidder-Specific Minimum Prices. In: Papadimitriou, C., Zhang, S. (eds) Internet and Network Economics. WINE 2008. Lecture Notes in Computer Science, vol 5385. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92185-1_64

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  • DOI: https://doi.org/10.1007/978-3-540-92185-1_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92184-4

  • Online ISBN: 978-3-540-92185-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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