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An Empirical Analysis of Cellular Demand in South Africa

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  • Gasmi, Farid
  • Ivaldi, Marc
  • Recuero Virto, Laura

Abstract

We analyze demand for prepaid cellular voice and short message service (SMS) in South Africa by means of a demand-and-supply structural model based on a multinomial specification fitted to a cross-sectional data set on Vodacom customers collected in 2005. We find that consumers are very sensitive to changes in prices, with higher price elasticities than those typically found in developed countries. Consumers attach a higher value to communications during peak hours but since these are priced highly, they are as much as twice more elastic than off-peak communications. In relative terms, demand for communications during peak hours is more elastic for urban than for rural consumers, while the reverse can be said about demand for off-peak hours. The highest valuations are those placed by rural consumers on working hour communications. A policy implication of our analysis is that while in terms of access cellular deployment in South Africa has gone a long way into bridging the gap between the ``first'' and ``second'' economies, in terms of usage if market organizations or regulatory institutions were to encourage further investment in network availability in rural areas this could be rewarding both for the firm and its rural customers.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Gasmi, Farid & Ivaldi, Marc & Recuero Virto, Laura, 2009. "An Empirical Analysis of Cellular Demand in South Africa," TSE Working Papers 09-091, Toulouse School of Economics (TSE).
  • Handle: RePEc:tse:wpaper:22271
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    References listed on IDEAS

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    1. McFadden, Daniel L., 1984. "Econometric analysis of qualitative response models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 24, pages 1395-1457, Elsevier.
    2. Dewenter Ralf & Haucap Justus, 2008. "Demand Elasticities for Mobile Telecommunications in Austria," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(1), pages 49-63, February.
    3. Sridhar, Kala Seetharan & Sridhar, Varadharajan, 2007. "Telecommunications Infrastructure And Economic Growth: Evidence From Developing Countries," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 7(2), pages 37-56.
    4. Torero, Maximo & Chowdhury, Shyamal K. & Galdo, Virgilio, 2003. "Willingness to pay for the rural telephone service in Bangladesh and Peru," Information Economics and Policy, Elsevier, vol. 15(3), pages 327-361, September.
    5. Kenneth E. Train & Daniel L. McFadden & Moshe Ben-Akiva, 1987. "The Demand for Local Telephone Service: A Fully Discrete Model of Residential Calling Patterns and Service Choices," RAND Journal of Economics, The RAND Corporation, vol. 18(1), pages 109-123, Spring.
    6. Dewenter, Ralf & Haucap, Justus, 2004. "Estimating Demand Elasticities for Mobile Telecommunications in Austria," Working Paper 33/2004, Helmut Schmidt University, Hamburg.
    7. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    8. Ivaldi, Marc & Verboven, Frank, 2005. "Quantifying the effects from horizontal mergers in European competition policy," International Journal of Industrial Organization, Elsevier, vol. 23(9-10), pages 669-691, December.
    9. Foreman, R Dean & Beauvais, Edward, 1999. "Scale Economies in Cellular Telephony: Size Matters," Journal of Regulatory Economics, Springer, vol. 16(3), pages 297-306, November.
    10. McKenzie, David J & Small, John P, 1997. "Econometric Cost Structure Estimates for Cellular Telephony in the United States," Journal of Regulatory Economics, Springer, vol. 12(2), pages 147-157, September.
    11. Marc Aldebert & Marc Ivaldi & Chantal Roucolle, 2004. "Telecommunications demand and pricing structure: An econometric analysis," Post-Print hal-01409776, HAL.
    12. Castro Martins, Maria Lurdes, 2003. "International differences in telecommunications demand," Information Economics and Policy, Elsevier, vol. 15(3), pages 291-303, September.
    13. Wolak, Frank A., 1996. "Can universal service survive in a competitive telecommunications environment? Evidence from the United States consumer expenditure survey," Information Economics and Policy, Elsevier, vol. 8(3), pages 163-203, September.
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    More about this item

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

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