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Antitrust Analysis For The Internet Upstream Market: A Border Gateway Protocol Approach

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  • Alessio D'Ignazio
  • Emanuele Giovannetti

Abstract

We study concentration in the European Internet upstream access market. The possibility of measuring market concentration depends on a correct definition of the market itself; however, this is not always possible, because very often in the Internet industry antitrust authorities lack reliable pricing and traffic data. We present an alternative approach based on the inference of the Internet operators' interconnection policies using micro-data from their Border Gateway Protocol (BGP) tables. We assess market concentration following a two-step process: first, we propose a price-independent algorithm for defining both the vertical and geographical relevant market boundaries; then we calculate market concentration indexes using two novel metrics. These assess, for each undertaking, its role both in terms of essential network facility and of wholesale market dominance. The results, applied to four leading Internet exchange points in London, Amsterdam, Frankfurt, and Milan, show that some vertical segments of these markets are highly concentrated, while others are extremely competitive. According to the Merger Guidelines, some of the estimated market concentration values would immediately fall within the special attention category.

Suggested Citation

  • Alessio D'Ignazio & Emanuele Giovannetti, 2006. "Antitrust Analysis For The Internet Upstream Market: A Border Gateway Protocol Approach," Journal of Competition Law and Economics, Oxford University Press, vol. 2(1), pages 43-69.
  • Handle: RePEc:oup:jcomle:v:2:y:2006:i:1:p:43-69.
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    File URL: http://hdl.handle.net/10.1093/joclec/nhl003
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    Cited by:

    1. Alessio D'Ignazio & Emanuele Giovannetti, 2006. "From Exogenous To Endogenous Economic Networks: Internet Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 20(5), pages 757-796, December.
    2. D'Ignazio, Alessio & Giovannetti, Emanuele, 2009. "Asymmetry and discrimination in Internet peering: evidence from the LINX," International Journal of Industrial Organization, Elsevier, vol. 27(3), pages 441-448, May.
    3. Llorca, Manuel & Soroush, Golnoush & Giovannetti, Emanuele & Jamasb, Tooraj & Davi-Arderius, Daniel, 2024. "Energy Sector Digitalisation, Green Transition and Regulatory Trade-offs," Working Papers 5-2024, Copenhagen Business School, Department of Economics.
    4. Felipe Maciel Cardoso & Carlos Gracia-Lázaro & Frédéric Moisan & Sanjeev Goyal & Ángel Sánchez & Yamir Moreno, 2020. "Effect of network topology and node centrality on trading," Post-Print halshs-03052105, HAL.
    5. Giovannetti, Emanuele & Sigloch, Sebastian, 2015. "An Internet periphery study: Network centrality and clustering for mobile access in Bhutan," Telecommunications Policy, Elsevier, vol. 39(7), pages 608-622.

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