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Measuring network effects in mobile telecommunications markets with stated-preference valuation methods

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  • Miko?aj Czajkowski
  • Maciej Sobolewski

Abstract

This paper demonstrates how stated-preference methods can be applied for modelling consumers' preferences in mobile telecommunications, and for measuring network effects. This will be illustrated with a case study of mobile phone operators in Poland. A random parameters multinomial logit model will be constructed to analyse consumer preferences. This approach allows calculating welfare effects, as well as marginal rates of substitution of the attributes used to describe the choices, such as operator brand and distribution of family and friends among available mobile networks. The results confirm the existence of a strong network effect, which is related to the size of the social network a particular subscriber belongs to, rather than the absolute size of the mobile operator's customer base. In addition, brand perception and brand loyalty will be identified as important determinants of operator choice. Finally, through the application of a non-market valuation method, monetary values of the network effect and of brand loyalty, will be calculated.

Suggested Citation

  • Miko?aj Czajkowski & Maciej Sobolewski, 2011. "Measuring network effects in mobile telecommunications markets with stated-preference valuation methods," International Journal of Management and Network Economics, Inderscience Enterprises Ltd, vol. 2(2), pages 197-215.
    • Handle: RePEc:ids:ijmnec:v:2:y:2011:i:2:p:197-215
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    1. Nick Hanley & Robert Wright & Vic Adamowicz, 1998. "Using Choice Experiments to Value the Environment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 11(3), pages 413-428, April.
    2. Liikanen, Jukka & Stoneman, Paul & Toivanen, Otto, 2004. "Intergenerational effects in the diffusion of new technology: the case of mobile phones," International Journal of Industrial Organization, Elsevier, vol. 22(8-9), pages 1137-1154, November.
    3. Christos Genakos & Tommaso Valletti, 2011. "Testing The “Waterbed” Effect In Mobile Telephony," Journal of the European Economic Association, European Economic Association, vol. 9(6), pages 1114-1142, December.
    4. Michal Grajek, 2003. "Estimating Network Effects and Compatibility in Mobile Telecommunications," CIG Working Papers SP II 2003-26, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    5. Knittel, Christopher R. & Stango, Victor, 2011. "Strategic incompatibility in ATM markets," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2627-2636, October.
    6. Scarpa, Riccardo & Rose, John M., 2008. "Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 1-30.
    7. Train, K. & Weeks, M., 2004. "Discrete Choice Models in Preference Space and Willingness-to Pay Space," Cambridge Working Papers in Economics 0443, Faculty of Economics, University of Cambridge.
    8. Richard Carson & Nicholas Flores & Norman Meade, 2001. "Contingent Valuation: Controversies and Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 19(2), pages 173-210, June.
    9. Erik Meijer & Jan Rouwendal, 2006. "Measuring welfare effects in models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 227-244, March.
    10. Christopher R. Knittel & Victor Stango, 2003. "Compatibility and pricing with indirect network effects: evidence from ATMs," Working Paper Series WP-03-33, Federal Reserve Bank of Chicago.
    11. Laitila, Thomas, 2004. "Economic Valuation with Stated Preference Techniques: A Manual: Bateman, I.J., R.T. Carson, B. Day, M. Hanemann, N. Hanley, T. Hett, M. Jones-Lee, G. Loomes, S. Mourato, E. Ozdemiroglu, D.W. Pearce, R," Ecological Economics, Elsevier, vol. 50(1-2), pages 155-156, September.
    12. Brock, William A. & Durlauf, Steven N., 2007. "Identification of binary choice models with social interactions," Journal of Econometrics, Elsevier, vol. 140(1), pages 52-75, September.
    13. Hole, Arne Risa, 2008. "Modelling heterogeneity in patients' preferences for the attributes of a general practitioner appointment," Journal of Health Economics, Elsevier, vol. 27(4), pages 1078-1094, July.
    14. Farrell, Joseph & Klemperer, Paul, 2007. "Coordination and Lock-In: Competition with Switching Costs and Network Effects," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 31, pages 1967-2072, Elsevier.
    15. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, November.
    16. Stephen Hynes & Nick Hanley & Riccardo Scarpa, 2008. "Effects on Welfare Measures of Alternative Means of Accounting for Preference Heterogeneity in Recreational Demand Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 1011-1027.
    17. Colombo, Sergio & Calatrava-Requena, Javier & Conzalex-Roa, M.C., 2005. "Testing Choice Experiment for Benefit Transfer," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24747, European Association of Agricultural Economists.
    18. Edward Morey & Jennifer Thacher & William Breffle, 2006. "Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(1), pages 91-115, May.
    19. David Dranove & Neil Gandal, 2003. "The Dvd‐vs.‐Divx Standard War: Empirical Evidence of Network Effects and Preannouncement Effects," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 12(3), pages 363-386, September.
    20. Knittel, Christopher R. & Stango, Victor, 2011. "Strategic incompatibility in ATM markets," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2627-2636, October.
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    Cited by:

    1. Sobolewski, Maciej & Czajkowski, Mikołaj, 2018. "Receiver benefits and strategic use of call externalities in mobile telephony markets," Information Economics and Policy, Elsevier, vol. 44(C), pages 16-27.
    2. 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.
    3. Czajkowski, Mikołaj & Sobolewski, Maciej, 2016. "How much do switching costs and local network effects contribute to consumer lock-in in mobile telephony?," Telecommunications Policy, Elsevier, vol. 40(9), pages 855-869.
    4. 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; mobile telecommunications; brand valuation; stated preference methods; non-market valuation methods; choice experiment; multinomial conditional logit model; preference heterogeneity; random parameter models; Poland; mobile communications; consumer preferences.;
    All these keywords.

    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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