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Preface

Published online by Cambridge University Press:  26 October 2017

Martin Bichler
Affiliation:
Department of Informatics, Technical University of Munich
Jacob K. Goeree
Affiliation:
School of Economics, UNSW Business School
Martin Bichler
Affiliation:
Technische Universität München
Jacob K. Goeree
Affiliation:
University of New South Wales, Sydney
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Summary

The 1994 sales of spectrum for “personal communication services” (PCS) marked a sharp change in policy by the US Federal Communications Commission (FCC), which had allocated spectrum for free until then. The PCS auction was designed by Stanford professors Paul Milgrom and Robert Wilson. The July auction with just ten licenses raised over $600 million while the December auction raised more than $7 billion, breaking all records for the sale of public assets in the US and leading the New York Times to hail it as “the greatest auction ever.” Substantial revenues are an obvious benefit but even more important is the fact that the PCS auction allocated this valuable public asset efficiently. By forcing firms “to put their money where their mouths are” the PCS auction selected firms that could utilize spectrum the best – to the greater benefit of society. Milgrom and Wilson's design has since been adopted by many regulators and has generated hundreds of billions of dollars for treasuries worldwide.

The PCS auction was organized as a simultaneous multiple-round auction (SMRA), which is also known as a simultaneous ascending auction (SAA). The SMRA is a simple but flexible format to sell multiple licenses in parallel. Despite the simplicity of its rules, the SMRA may create strategic difficulties for bidders interested in acquiring combinations of licenses. Since licenses have to be won one-by-one in the SMRA, bidders who compete aggressively for a desired combination risk winning an inferior subset at high prices. This is known as the exposure problem. Foreseeing the possibility of being exposed, bidders may act cautiously with adverse effects for revenue and efficiency.

Combinatorial auctions solve the exposure problem by allowing for bids on combinations of licenses. While this feature has the potential to improve efficiency, it also leads to new design challenges such as the computational hardness of the allocation problem, or the combinatorial growth in the number of package bids in some auction formats. Spectrum auction design has seen several recent innovations such as the single-stage and two-stage combinatorial clock auction (CCA), hierarchical package bidding (HPB), or sealed-bid combinatorial auctions.

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Publisher: Cambridge University Press
Print publication year: 2017

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  • Preface
  • Edited by Martin Bichler, Technische Universität München, Jacob K. Goeree, University of New South Wales, Sydney
  • Book: Handbook of Spectrum Auction Design
  • Online publication: 26 October 2017
  • Chapter DOI: https://doi.org/10.1017/9781316471609.001
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  • Preface
  • Edited by Martin Bichler, Technische Universität München, Jacob K. Goeree, University of New South Wales, Sydney
  • Book: Handbook of Spectrum Auction Design
  • Online publication: 26 October 2017
  • Chapter DOI: https://doi.org/10.1017/9781316471609.001
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Preface
  • Edited by Martin Bichler, Technische Universität München, Jacob K. Goeree, University of New South Wales, Sydney
  • Book: Handbook of Spectrum Auction Design
  • Online publication: 26 October 2017
  • Chapter DOI: https://doi.org/10.1017/9781316471609.001
Available formats
×