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Measuring Network Effects in Mobile Telecommunications Markets with Stated‐Preference Valuation Methods

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  • Czajkowski, Mikolaj
  • Sobolewski, Maciej

Abstract

This paper demonstrates how stated-preference methods can be applied to modeling consumers' preferences in the field of mobile telecommunications, and to measuring and the valuation of network effects. We illustrate this with a case study of mobile phone operators in Poland. We utilize the Choice Experiment method and present the respondents with hypothetical choices of mobile phone operators, while explicitly controlling for network effects in the form of other users in the same network. Based on the hypothetical choices consumers make we construct a conditional random parameters multinomial logit model to analyze their preferences. This approach allows us to calculate welfare effects associated with alternatives, as well as marginal rates of substitution (and hence implicit prices) of the attributes used to describe the choices, such as operator brand and distribution of family and friends between available mobile networks. The latter constitutes a network effect as consumer's utility is influenced by the number (or ratio) of members of his or her family, friends and other users subscribed to the same operator. Our results confirm the existence of a strong network effect, which is related to the size of the social network group a particular subscriber belongs to, rather than the absolute size of the mobile operator's customer base. We observe that there are two sources of this 'gross' network effect - pecuniary (arising from possible price discounts for on-net calls) and non-pecuniary, and demonstrate a way to disaggregate them. In addition, we find that brand perception and brand loyalty are important determinants of operator choice. Finally, through the application of a non-market valuation method we are able to calculate monetary values of the network effect and brand loyalty, and both turn out to be relatively high. The results might be of a particular interest to mobile phone operators and regulatory authorities - we find that the capacity for vigorous price competition between mobile operators is limited due to significant non-price barriers which mitigate subscribers' mobility in the market. We demonstrate a way to measure these effects in monetary terms based on modeling of consumer preferences. --

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Bibliographic Info

Paper provided by International Telecommunications Society (ITS) in its series 21st European Regional ITS Conference, Copenhagen 2010: Telecommunications at new crossroads - Changing value configurations, user roles, and regulation with number 5.

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Date of creation: 2010
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Handle: RePEc:zbw:itse10:5

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Web page: http://www.itseurope.org/

Related research

Keywords: Network effects; mobile telecommunications; brand valuation; stated preference methods; non-market valuation methods; choice experiment; multinomial conditional logit model; preference heterogeneity; random parameters model;

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References

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  1. Genakos, Christos D. & Valletti, Tommaso, 2009. "Testing the "Waterbed" Effect in Mobile Telephony," CEPR Discussion Papers, C.E.P.R. Discussion Papers 7611, C.E.P.R. Discussion Papers.
  2. 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, Wiley Blackwell, vol. 12(3), pages 363-386, 09.
  3. Michal Grajek, 2003. "Estimating Network Effects and Compatibility in Mobile Telecommunications," CIG Working Papers, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG) SP II 2003-26, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
  4. Riccardo Scarpa & John M. Rose, 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, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 253-282, 09.
  5. Christopher R. Knittel & Victor Stango, 2006. "Strategic Incompatibility in ATM Markets," NBER Working Papers 12604, National Bureau of Economic Research, Inc.
  6. Richard Carson & Nicholas Flores & Norman Meade, 2001. "Contingent Valuation: Controversies and Evidence," Environmental & Resource Economics, European Association of Environmental and Resource Economists, European Association of Environmental and Resource Economists, vol. 19(2), pages 173-210, June.
  7. Train, K. & Weeks, M., 2004. "Discrete Choice Models in Preference Space and Willingness-to Pay Space," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge 0443, Faculty of Economics, University of Cambridge.
  8. Christopher Knittel & Victor Stango, 2005. "Compatibility and Pricing with Indirect Network Effects: Evidence from ATMs," Working Papers, University of California, Davis, Department of Economics 525, University of California, Davis, Department of Economics.
  9. Brock, William A. & Durlauf, Steven N., 2007. "Identification of binary choice models with social interactions," Journal of Econometrics, Elsevier, Elsevier, vol. 140(1), pages 52-75, September.
  10. 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, European Association of Environmental and Resource Economists, European Association of Environmental and Resource Economists, vol. 34(1), pages 91-115, 05.
  11. 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, European Association of Agricultural Economists 24747, European Association of Agricultural Economists.
  12. 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, Elsevier, vol. 22(8-9), pages 1137-1154, November.
  13. Arne Risa Hole, 2007. "Modelling Heterogeneity in Patients' Preferences for the Attributes of a General Practitioner Appointment," Working Papers, Centre for Health Economics, University of York 022cherp, Centre for Health Economics, University of York.
  14. 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, Elsevier, vol. 50(1-2), pages 155-156, September.
  15. 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, Agricultural and Applied Economics Association, vol. 90(4), pages 1011-1027.
  16. Meijer, E. & Rouwendal, J., 2000. "Measuring welfare effects in models with random coefficients," Research Report, University of Groningen, Research Institute SOM (Systems, Organisations and Management) 00F25, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  17. Nick Hanley & Robert Wright & Vic Adamowicz, 1998. "Using Choice Experiments to Value the Environment," Environmental & Resource Economics, European Association of Environmental and Resource Economists, European Association of Environmental and Resource Economists, vol. 11(3), pages 413-428, April.
  18. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, Cambridge University Press, number 9780521766555.
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Cited by:
  1. Mikołaj Czajkowski & Maciej Sobolewski, 2013. "Switching Costs and Network Effects – How Much Do they Really Matter in Mobile Telecommunications?," Working Papers, Faculty of Economic Sciences, University of Warsaw 2013-29, Faculty of Economic Sciences, University of Warsaw.
  2. Czajkowski, Mikołaj & Sobolewski, Maciej, 2013. "Estimation of switching costs and network effects in mobile telecommunications in Poland," 24th European Regional ITS Conference, Florence 2013, International Telecommunications Society (ITS) 88515, International Telecommunications Society (ITS).

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