Residential broadband subscription demand: an econometric analysis of Australian choice experiment data
The recent roll-out of fibre-optic cable suggests that the willingness of households in passed communities to subscribe to networked services is an important issue. This paper studies the determination of the demand for network subscription. Through a discrete choice model the effect of installation and rental price on the likelihood of subscription is analysed. The logit regression is based on choice experiment (stated preference) subscription data obtained from a national survey of households. Limitations of this preliminary work and suggestions for future research are discussed.
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Volume (Year): 29 (1997)
Issue (Month): 8 ()
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Madden, Gary, 1995. "Experimentation in Economics: An Overview of the Stated-Preference Experimental Design Method," Australian Economic Papers, Wiley Blackwell, vol. 34(64), pages 120-35, June.
- Madden, Gary & Bloch, Harry & Hensher, David, 1993.
"Australian telephone network subscription and calling demands: evidence from a stated-preference experiment,"
Information Economics and Policy,
Elsevier, vol. 5(3), pages 207-230, October.
- 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.
- Bodnar & Peter Dilworth & Salvatore Iacono, Judith, 1988. "Cross-sectional analysis of residential telephone subscription in Canada," Information Economics and Policy, Elsevier, vol. 3(4), pages 355-378.
- Park, Rolla Edward & Mitchell, Bridger M. & Wetzel, Bruce M. & Alleman, James H., 1983. "Charging for local telephone calls : How household characteristics affect the distribution of calls in the GTE Illinois experiment," Journal of Econometrics, Elsevier, vol. 22(3), pages 339-364, August.
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