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Two-Buyer Sequential Multiunit Auctions with No Overbidding

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Algorithmic Game Theory (SAGT 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12283))

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Abstract

We study equilibria in two-buyer sequential second-price (or first-price) auctions for identical goods. Buyers have weakly decreasing incremental values, and we make a behavioural no-overbidding assumption: the buyers do not bid above their incremental values. Structurally, we show equilibria are intrinsically linked to a greedy bidding strategy. We then prove three results. First, any equilibrium consists of three phases: a competitive phase, a competition reduction phase and a monopsony phase. In particular, there is a time after which one buyer exhibits monopsonistic behaviours. Second, the declining price anomaly holds: prices weakly decrease over time at any equilibrium in the no-overbidding game, a fact previously known for equilibria with overbidding. Third, the price of anarchy of the sequential auction is exactly \(1 - 1/e\).

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Notes

  1. 1.

    We present our results for second-price auctions. Given an appropriate formulation of the bidding space to ensure the existence of an equilibrium  [12] these results also extend to the case of first-price auctions.

  2. 2.

    The exposure problem arises when a buyer has large value for a set S of items but much less value for strict subsets of S. Thus bidding for the items of S sold early in the auction exposes the buyer to a high risk if he fails to win the later items of S.

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Acknowledgements

We are very grateful to Rakesh Vohra for discussions on this topic. We thank the referees for their helpful comments and suggestions.

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Correspondence to Mete Şeref Ahunbay .

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Ahunbay, M.Ş., Lucier, B., Vetta, A. (2020). Two-Buyer Sequential Multiunit Auctions with No Overbidding. In: Harks, T., Klimm, M. (eds) Algorithmic Game Theory. SAGT 2020. Lecture Notes in Computer Science(), vol 12283. Springer, Cham. https://doi.org/10.1007/978-3-030-57980-7_1

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  • DOI: https://doi.org/10.1007/978-3-030-57980-7_1

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