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Winning Play in Spectrum Auctions

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Listed:
  • Jeremy Bulow

    (Gradudate School of Business, Stanford University)

  • Jonathan Levin

    (Stanford University)

  • Paul Milgrom

    (Stanford University)

Abstract

We describe factors that make bidding in large spectrum auctions complex including exposure and budget problems, the role of timing within an ascending auction, and the possibilities for price forecasting and how economic and game-theoretic analysis can assist bidders in overcoming these problems. As an example, we consider the case of the FCC's Advanced Wireless Service auction, in which a new entrant, SpectrumCo, faced all these problems yet managed to purchase nationwide coverage at a discount of roughly a third relative to the prices paid by its incumbent competitors in the same auction, saving more than a billion dollars.

Suggested Citation

  • Jeremy Bulow & Jonathan Levin & Paul Milgrom, 2009. "Winning Play in Spectrum Auctions," Discussion Papers 08-023, Stanford Institute for Economic Policy Research.
  • Handle: RePEc:sip:dpaper:08-023
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    References listed on IDEAS

    as
    1. Sandro Brusco & Giuseppe Lopomo, 2002. "Collusion via Signalling in Simultaneous Ascending Bid Auctions with Heterogeneous Objects, with and without Complementarities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(2), pages 407-436.
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    More about this item

    Keywords

    Game Theory; Bidding; Exposure; Budget Problems; Price Forecasting;
    All these keywords.

    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General

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