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Network effects, network structure and consumer interaction in mobile telecommunications in Europe and Asia

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  • Birke, Daniel
  • Swann, G.M. Peter

Abstract

This paper estimates the importance of (tariff-mediated) network effects and the impact of a consumer's social network on her choice of mobile phone provider. The study uses network data obtained from surveys of students in several European and Asian countries. We use the Quadratic Assignment Procedure, a non-parametric permutation test, to adjust for the particular error structure of network data. We find that respondents strongly coordinate their choice of mobile phone providers, but only if their provider induces network effects. This suggests that this coordination depends on network effects rather than on information contagion or pressure to conform to the social environment.

Suggested Citation

  • Birke, Daniel & Swann, G.M. Peter, 2010. "Network effects, network structure and consumer interaction in mobile telecommunications in Europe and Asia," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 153-167, November.
    • Handle: RePEc:eee:jeborg:v:76:y:2010:i:2:p:153-167
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    1. Joseph Farrell & Garth Saloner, 1985. "Standardization, Compatibility, and Innovation," RAND Journal of Economics, The RAND Corporation, vol. 16(1), pages 70-83, Spring.
    2. Garth Saloner & Andrea Shepard, 1995. "Adoption of Technologies with Network Effects: An Empirical Examination of the Adoption of Teller Machines," RAND Journal of Economics, The RAND Corporation, vol. 26(3), pages 479-501, Autumn.
    3. Kim, Hee-Su & Kwon, Namhoon, 2003. "The advantage of network size in acquiring new subscribers: a conditional logit analysis of the Korean mobile telephony market," Information Economics and Policy, Elsevier, vol. 15(1), pages 17-33, March.
    4. Oriana Bandiera & Imran Rasul, 2006. "Social Networks and Technology Adoption in Northern Mozambique," Economic Journal, Royal Economic Society, vol. 116(514), pages 869-902, October.
    5. Gautam Gowrisankaran & Joanna Stavins, 2004. "Network Externalities and Technology Adoption: Lessons from Electronic Payments," RAND Journal of Economics, The RAND Corporation, vol. 35(2), pages 260-276, Summer.
    6. Jean-Jacques Laffont & Patrick Rey & Jean Tirole, 1998. "Network Competition: II. Price Discrimination," RAND Journal of Economics, The RAND Corporation, vol. 29(1), pages 38-56, Spring.
    7. Jeffrey Rohlfs, 1974. "A Theory of Interdependent Demand for a Communications Service," Bell Journal of Economics, The RAND Corporation, vol. 5(1), pages 16-37, Spring.
    8. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    9. Harbord David & Pagnozzi Marco, 2010. "Network-Based Price Discrimination and `Bill-and-Keep' vs. `Cost-Based' Regulation of Mobile Termination Rates," Review of Network Economics, De Gruyter, vol. 9(1), pages 1-46, February.
    10. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    11. Ernst R. Berndt & Robert S. Pindyck & Pierre Azoulay, 2003. "Consumption Externalities and Diffusion in Pharmaceutical Markets: Antiulcer Drugs," Journal of Industrial Economics, Wiley Blackwell, vol. 51(2), pages 243-270, June.
    12. Goolsbee, Austan & Klenow, Peter J, 2002. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 317-343, October.
    13. Marc Rysman, 2004. "Competition Between Networks: A Study of the Market for Yellow Pages," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(2), pages 483-512.
    14. Wesley Hartmann & Puneet Manchanda & Harikesh Nair & Matthew Bothner & Peter Dodds & David Godes & Kartik Hosanagar & Catherine Tucker, 2008. "Modeling social interactions: Identification, empirical methods and policy implications," Marketing Letters, Springer, vol. 19(3), pages 287-304, December.
    15. Arun Sundararajan, 2004. "Local Network Effects and Network Structure," Industrial Organization 0412011, University Library of Munich, Germany.
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    Cited by:

    1. Harbord, David & Pagnozzi, Marco, 2008. "On-Net/Off-Net Price Discrimination and 'Bill-and-Keep' vs. 'Cost-Based' Regulation of Mobile Termination Rates," MPRA Paper 14540, University Library of Munich, Germany.
    2. Clavijo, R, 2022. "Price discrimination under nonuniform calling circles and call externalities," Documentos de Trabajo 20054, Universidad del Rosario.
    3. Quach, Sara & Thaichon, Park & Hewege, Chandana, 2020. "Triadic relationship between customers, service providers and government in a highly regulated industry," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    4. Karacuka, Mehmet & Çatık, A. Nazif & Haucap, Justus, 2013. "Consumer choice and local network effects in mobile telecommunications in Turkey," Telecommunications Policy, Elsevier, vol. 37(4), pages 334-344.
    5. Zucchini, Leon & Claussen, Jörg & Trüg, Moritz, 2013. "Tariff-mediated network effects versus strategic discounting: Evidence from German mobile telecommunications," International Journal of Industrial Organization, Elsevier, vol. 31(6), pages 751-759.
    6. repec:lmu:msmdpa:13764 is not listed on IDEAS
    7. Grzybowski, Lukasz, 2015. "The role of network effects and consumer heterogeneity in the adoption of mobile phones: Evidence from South Africa," Telecommunications Policy, Elsevier, vol. 39(11), pages 933-943.
    8. Daniel Björkegren, 2017. "Scoping for: Competition in Network Industries: Evidence from Mobile Telecommunications in Rwanda," Working Papers 17-10, NET Institute.
    9. Jinping Lin & Kangmin Wu, 2023. "Intercity asymmetrical linkages influenced by Spring Festival migration and its multivariate distance determinants: a case study of the Yangtze River Delta Region in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    10. Guven, Faruk, 2018. "Churn and loyalty behaviour of Turkish digital natives," 29th European Regional ITS Conference, Trento 2018 184943, International Telecommunications Society (ITS).
    11. Paolo Zeppini & Koen Frenken, 2015. "Networks, Percolation, and Demand," Department of Economics Working Papers 38/15, University of Bath, Department of Economics.
    12. repec:lmu:msmdpa:12688 is not listed on IDEAS
    13. Mothobi, Onkokame & Grzybowski, Lukasz, 2017. "Infrastructure deficiencies and adoption of mobile money in Sub-Saharan Africa," Information Economics and Policy, Elsevier, vol. 40(C), pages 71-79.
    14. Basaran, Alparslan A. & Cetinkaya, Murat & Bagdadioglu, Necmiddin, 2014. "Operator choice in the mobile telecommunications market: Evidence from Turkish urban population," Telecommunications Policy, Elsevier, vol. 38(1), pages 1-13.
    15. Confraria, João & Ribeiro, Tiago & Vasconcelos, Helder, 2017. "Analysis of consumer preferences for mobile telecom plans using a discrete choice experiment," Telecommunications Policy, Elsevier, vol. 41(3), pages 157-169.

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    More about this item

    Keywords

    Network effects Social networks Mobile telecommunications QAP;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

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