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Australian residential telecommunications consumption and substitution patterns

  • Madden, Gary G
  • Coble-Neal, Grant

Better telecommunications pricing decisions are able to be made when more complete information concerning relationships among services is available. This study analyses residential fixed-line and mobile telephony, and Internet access and usage demands in an encompassing framework. The discrete-continuous framework allows for service interaction within and between service portfolios. Model estimation is based on the examination of data collected from a country-wide survey of Australian households. In particular, observed service portfolios (household consumption patterns at prevailing access prices and estimated average service usage prices), income and demographic characteristic data are collected. These data also allow the modelling to potentially identify market segments based on income and other household characteristics.

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File URL: http://mpra.ub.uni-muenchen.de/10824/1/MPRA_paper_10824.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 10824.

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Date of creation: 2005
Date of revision:
Handle: RePEc:pra:mprapa:10824
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  1. Madden, Gary G & Bloch, Harry & Hensher, David, 1993. "Australian telephone network subscription and calling demands: evidence from a stated-preference experiment," MPRA Paper 10681, University Library of Munich, Germany.
  2. Madden, Gary & Simpson, Michel & Savage, Scott, 2002. "Broadband Delivered Entertainment Services: Forecasting Australian Subscription Intentions," The Economic Record, The Economic Society of Australia, vol. 78(243), pages 422-32, December.
  3. Nakil Sung & Yong-Hun Lee, 2002. "Substitution between Mobile and Fixed Telephones in Korea," Review of Industrial Organization, Springer, vol. 20(4), pages 367-374, June.
  4. Rodini, Mark & Ward, Michael R. & Woroch, Glenn A., 0. "Going mobile: substitutability between fixed and mobile access," Telecommunications Policy, Elsevier, vol. 27(5-6), pages 457-476, June.
  5. Yannis Bakos & Erik Brynjolfsson, 1997. "Bundling Information Goods: Pricing, Profits and Efficiency," Working Paper Series 199, MIT Center for Coordination Science.
  6. Gatto, Joseph P. & Kelejian, Harry H. & Stephan, Scott W., 1988. "Stochastic generalizations of demand systems with an application to telecommunications," Information Economics and Policy, Elsevier, vol. 3(4), pages 283-309.
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