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Spectrum licensing, policy instruments and market entry

Author

Listed:
  • Madden, Gary
  • Bohlin, Erik
  • Tran, Thien
  • Morey, Aaron
Abstract
Competition policy attempts to address the potential for market failure by encouraging competition in service markets. Often, in wireless communication service markets, national regulatory authorities seek to encourage entry via the spectrum assignment process. Instruments used include the assignment mode (auction or beauty contest), setting aside licenses and providing bidding (price and quantity) credits for potential entrants, and making more licenses (spectrum blocks) available than incumbent firms (excess licenses). The empirical analysis assesses the effectiveness of these policy instruments on encouraging entry. The econometric results show that the probability of entry is enhanced by using auction assignments and excess licenses. Furthermore, quantity, but not price, concessions encourage entry.

Suggested Citation

  • Madden, Gary & Bohlin, Erik & Tran, Thien & Morey, Aaron, 2013. "Spectrum licensing, policy instruments and market entry," 24th European Regional ITS Conference, Florence 2013 88476, International Telecommunications Society (ITS).
  • Handle: RePEc:zbw:itse13:88476
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    References listed on IDEAS

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    1. Newey, Whitney K., 1987. "Efficient estimation of limited dependent variable models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 36(3), pages 231-250, November.
    2. Azacis, Helmuts & Burguet, Roberto, 2008. "Incumbency and entry in license auctions: The Anglo-Dutch auction meets another simple alternative," International Journal of Industrial Organization, Elsevier, vol. 26(3), pages 730-745, May.
    3. Thomas W. Hazlett & Roberto E. Muñoz, 2009. "A welfare analysis of spectrum allocation policies," RAND Journal of Economics, RAND Corporation, vol. 40(3), pages 424-454, September.
    4. Smith, Richard J & Blundell, Richard W, 1986. "An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply," Econometrica, Econometric Society, vol. 54(3), pages 679-685, May.
    5. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    6. Peter Cramton & Evan Kwerel & Gregory Rosston & Andrzej Skrzypacz, 2011. "Using Spectrum Auctions to Enhance Competition in Wireless Services," Journal of Law and Economics, University of Chicago Press, vol. 54(S4), pages 167-188.
    7. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    8. Terza, Joseph V., 1998. "Estimating count data models with endogenous switching: Sample selection and endogenous treatment effects," Journal of Econometrics, Elsevier, vol. 84(1), pages 129-154, May.
    9. Klemperer, Paul, 2002. "How (not) to run auctions: The European 3G telecom auctions," European Economic Review, Elsevier, vol. 46(4-5), pages 829-845, May.
    10. Cramton Peter & Schwartz Jesse A, 2002. "Collusive Bidding in the FCC Spectrum Auctions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 1(1), pages 1-20, December.
    11. Philippe Jehiel & Benny Moldovanu, 2003. "An economic perspective on auctions [‘An efficient as cending-bid auction for multiple objects’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 18(36), pages 269-308.
    12. Gopal Das Varma & Giuseppe Lopomo, 2010. "Non‐Cooperative Entry Deterrence In License Auctions: Dynamic Versus Sealed Bid," Journal of Industrial Economics, Wiley Blackwell, vol. 58(2), pages 450-476, June.
    13. Heidrun C. Hoppe & Philippe Jehiel & Benny Moldovanu, 2006. "License Auctions and Market Structure," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(2), pages 371-396, June.
    14. Peter Cramton, 2001. "Lessons Learned from the UK 3G Spectrum Auction," Papers of Peter Cramton 01nao, University of Maryland, Department of Economics - Peter Cramton, revised 03 Jan 2002.
    15. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    16. William H. Greene, 1992. "A Statistical Model for Credit Scoring," Working Papers 92-29, New York University, Leonard N. Stern School of Business, Department of Economics.
    17. Richard W. Blundell & Richard J. Smith, 1989. "Estimation in a Class of Simultaneous Equation Limited Dependent Variable Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(1), pages 37-57.
    18. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," Stata Journal, StataCorp LP, vol. 3(3), pages 278-294, September.
    19. Shahzad Ansari & Kamal Munir, 2008. "How valuable is a piece of the spectrum? Determination of value in external resource acquisition," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(2), pages 301-333, April.
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    Citations

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    Cited by:

    1. Cambini, Carlo & Garelli, Nicola, 2017. "Spectrum fees and market performance: A quantitative analysis," Telecommunications Policy, Elsevier, vol. 41(5), pages 355-366.
    2. Glenn A. Woroch, 2020. "Spectrum Concentration and Performance of the U.S. Wireless Industry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(1), pages 73-105, February.
    3. Cave, Martin & Nicholls, Rob, 2017. "The use of spectrum auctions to attain multiple objectives: Policy implications," Telecommunications Policy, Elsevier, vol. 41(5), pages 367-378.
    4. Bahia, Kalvin & Castells, Pau, 2022. "The impact of spectrum assignment policies on consumer welfare," Telecommunications Policy, Elsevier, vol. 46(1).
    5. Gary Madden & Erik Bohlin & Paitoon Kraipornsak & Thien Tran, 2014. "The determinants of prices in the FCC's 700 MHz spectrum auction," Applied Economics, Taylor & Francis Journals, vol. 46(17), pages 1953-1960, June.
    6. Woroch, Glenn A, 2020. "Spectrum Concentration and Performance of the U.S. Wireless Industry," Department of Economics, Working Paper Series qt8vv381jt, Department of Economics, Institute for Business and Economic Research, UC Berkeley.

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    More about this item

    Keywords

    spectrum licensing; policy instruments; market entry;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

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