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Does spectrum auctioning harm consumers? Lessons from 3G licensing

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  • Park, Minsoo
  • Lee, Sang-Woo
  • Choi, Yong-Jae

Abstract

Although the auctioning spectrum is generally considered to be highly successful, many countries still rely on beauty contests to assign spectrums. This is often attributed to the negative perceptions about the potential problems that auctions may cause, such as high licensing fees, high consumer prices, a lower incentive to invest in infrastructure, and concerns about market concentration. To address these negative perceptions, this paper estimates the effects of the auctions and the licensing fees for the 3G spectrum on consumer prices, the timing of a new service launch, and the market structure using data from the mobile markets of 21 OECD countries. Although our study uses a relatively small sample and a simple methodology, the results are meaningful since it examines a single service (3G) in OECD countries. Some of these countries have adopted auctions while others have used the traditional beauty contest approach. This combination provides a natural experiment to evaluate the impact of auctions on the mobile telecommunications market. The estimation results show no evidence to support claims of negative effects of spectrum auctions in the mobile communications market. This study calls for more positive action toward spectrum auctions in many countries who seek to improve the efficiency and transparency of spectrum assignment.

Suggested Citation

  • Park, Minsoo & Lee, Sang-Woo & Choi, Yong-Jae, 2011. "Does spectrum auctioning harm consumers? Lessons from 3G licensing," Information Economics and Policy, Elsevier, vol. 23(1), pages 118-126, March.
  • Handle: RePEc:eee:iepoli:v:23:y:2011:i:1:p:118-126
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    References listed on IDEAS

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    Cited by:

    1. Halil D. Kaya & Julia S. Kwok, 2016. "Foreign Reactions to U.S. Auctions: Implications for U.S. Bidders in Foreign Countries," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(10), pages 29-43, October.
    2. Anthony M. Kwasnica & Katerina Sherstyuk, 2013. "Multiunit Auctions," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 461-490, July.
    3. Choi, Yong-Jae, 2022. "Spectrum auctions in a thin market: The Korean case," Telecommunications Policy, Elsevier, vol. 46(8).
    4. Halil D. Kaya & Julia S. Kwok, 2016. "A Framework for Telecommunication Auctions," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(10), pages 128-135, October.
    5. Zaber, Moinul & Sirbu, Marvin, 2012. "Impact of spectrum management policy on the penetration of 3G technology," Telecommunications Policy, Elsevier, vol. 36(9), pages 762-782.
    6. Kuroda, Toshifumi & Baquero Forero, Maria del Pilar, 2017. "The effects of spectrum allocation mechanisms on market outcomes: Auctions vs beauty contests," Telecommunications Policy, Elsevier, vol. 41(5), pages 341-354.
    7. Katerina Sherstyuk & Nina Karmanskaya & Pavel Teslia, 2016. "Bidding with money or action plans? Asset allocation under strategic uncertainty," Working Papers 201603, University of Hawaii at Manoa, Department of Economics.
    8. Bahia, Kalvin & Castells, Pau, 2022. "The impact of spectrum assignment policies on consumer welfare," Telecommunications Policy, Elsevier, vol. 46(1).
    9. Jung, Juan & Katz, Raúl, 2022. "Spectrum flexibility and mobile telecommunications development," Utilities Policy, Elsevier, vol. 75(C).

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