Australian Residential Telecommunications Consumption and Substitution Patterns

Australian Residential Telecommunications Consumption and Substitution Patterns 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Review of Industrial Organization Springer Journals

Australian Residential Telecommunications Consumption and Substitution Patterns

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Publisher
Springer Journals
Copyright
Copyright © 2005 by Springer
Subject
Economics; Industrial Organization; Microeconomics
ISSN
0889-938X
eISSN
1573-7160
D.O.I.
10.1007/s11151-004-6617-z
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Review of Industrial OrganizationSpringer Journals

Published: Nov 23, 2004

References

  • Going Mobile: Substitutability between Fixed and Mobile Access
    Rodini, M.; Ward, M.; Woroch, G.
  • Substitution between Mobile and Fixed Telephones in Korea
    Sung, N.; Lee, Y.

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