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Auction design and auction outcomes

Author

Listed:
  • Pantelis Koutroumpis

    (Oxford University)

  • Martin Cave

    (London School of Economics)

Abstract

We study the impact of spectrum auction design on the prices paid by telecommunications operators for two decades across 85 countries. Our empirical strategy combines information about competition in the local market, the level of adoption and a wide range of socio-economic indicators and process specific variables. Using a micro dataset of almost every mobile spectrum auction performed so far—both regional and national—we show that auction design affects final prices paid. Two designs (SMRA with augmented switching and CCA with core pricing) result in auctions with systematically higher normalized returns. Further, we document that spectrum ownership appears to affect prices paid in subsequent auctions. We discuss the mechanisms of cost minimization and foreclosure faced by operators in different regulatory environments. Our findings have implications for policy-makers and regulators.

Suggested Citation

  • Pantelis Koutroumpis & Martin Cave, 2018. "Auction design and auction outcomes," Journal of Regulatory Economics, Springer, vol. 53(3), pages 275-297, June.
  • Handle: RePEc:kap:regeco:v:53:y:2018:i:3:d:10.1007_s11149-018-9358-x
    DOI: 10.1007/s11149-018-9358-x
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    References listed on IDEAS

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    Cited by:

    1. Sridhar, V. & Prasad, Rohit, 2021. "Analysis of spectrum pricing for commercial mobile services: A cross country study," Telecommunications Policy, Elsevier, vol. 45(9).
    2. Henriques, David, 2023. "A combinatorial auction to sell TV broadcasting rights in league sports," Telecommunications Policy, Elsevier, vol. 47(6).
    3. Bahia, Kalvin & Castells, Pau, 2022. "The impact of spectrum assignment policies on consumer welfare," Telecommunications Policy, Elsevier, vol. 46(1).
    4. Committee, Nobel Prize, 2020. "Improvements to auction theory and inventions of new auction formats," Nobel Prize in Economics documents 2020-2, Nobel Prize Committee.

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    More about this item

    Keywords

    Auction; Digital communications; Spectrum; Market power;
    All these keywords.

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

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