IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/10681.html
   My bibliography  Save this paper

Australian telephone network subscription and calling demands: evidence from a stated-preference experiment

Author

Listed:
  • Madden, Gary G
  • Bloch, Harry
  • Hensher, David

Abstract

This paper examines the impact of the subscription-calling rate structure on the demand for residential telephone network subscription and calling. Stated-preference experimental data are used to estimate demand equations. The results indicate that household network subscription and calling demands for the Sydney Metropolitan Area are affected by both rate structure and household socio-demographic variables.

Suggested Citation

  • 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.
  • Handle: RePEc:pra:mprapa:10681
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/10681/1/MPRA_paper_10681.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mitchell, Bridger M, 1978. "Optimal Pricing of Local Telephone Service," American Economic Review, American Economic Association, vol. 68(4), pages 517-537, September.
    2. Lyn Squire, 1973. "Some Aspects of Optimal Pricing for Telecommunications," Bell Journal of Economics, The RAND Corporation, vol. 4(2), pages 515-525, Autumn.
    3. Conlisk, John, 1973. "Choice of Response Functional Form in Designing Subsidy Experiments," Econometrica, Econometric Society, vol. 41(4), pages 643-656, July.
    4. Park, Rolla Edward & Wetzel, Bruce M & Mitchell, Bridger M, 1983. "Price Elasticities for Local Telephone Calls," Econometrica, Econometric Society, vol. 51(6), pages 1699-1730, November.
    5. Aigner, Dennis J., 1979. "A brief introduction to the methodology of optimal experimental design," Journal of Econometrics, Elsevier, vol. 11(1), pages 7-26, September.
    6. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    7. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    8. Conlisk, John, 1979. "Design for simultaneous equations," Journal of Econometrics, Elsevier, vol. 11(1), pages 63-76, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gary Madden & Michael Simpson, 1997. "Residential broadband subscription demand: an econometric analysis of Australian choice experiment data," Applied Economics, Taylor & Francis Journals, vol. 29(8), pages 1073-1078.
    2. Mongkolporn, Veerasak & Yin, Xiangkang, 2005. "How does the entry of new firms change demand? An empirical estimation for a Thai telecommunications company," Journal of Asian Economics, Elsevier, vol. 16(4), pages 688-703, August.
    3. Gary Madden & Grant Coble-Neal, 2005. "Australian Residential Telecommunications Consumption and Substitution Patterns," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 26(3), pages 325-347, October.
    4. Hans Ouwersloot & Piet Rietveld, 1997. "On the Distance Dependence of the Price Elasticity of Telecommunications Demand; Meta-analysis, and Alternative Theoretical Backgrounds," Tinbergen Institute Discussion Papers 97-080/3, Tinbergen Institute.
    5. Sergio Da Silva & Gustavo Manfrim, 2007. "Estimating demand elasticities of fixed telephony in Brazil," Economics Bulletin, AccessEcon, vol. 12(5), pages 1-9.
    6. Peter J. Danaher, 2002. "Optimal Pricing of New Subscription Services: Analysis of a Market Experiment," Marketing Science, INFORMS, vol. 21(2), pages 119-138, February.
    7. repec:ebl:ecbull:v:12:y:2007:i:5:p:1-9 is not listed on IDEAS

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anja Lambrecht & Katja Seim & Bernd Skiera, 2007. "Does Uncertainty Matter? Consumer Behavior Under Three-Part Tariffs," Marketing Science, INFORMS, vol. 26(5), pages 698-710, 09-10.
    2. Runa Nesbakken, 1998. "Residential Energy Consumption for Space Heating in Norwegian Households A Discrete-Continuous Choice Approach," Discussion Papers 231, Statistics Norway, Research Department.
    3. Paul Ellickson & Sanjog Misra, 2012. "Enriching interactions: Incorporating outcome data into static discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 10(1), pages 1-26, March.
    4. Torres, Marcelo de O. & Felthoven, Ronald G., 2014. "Productivity growth and product choice in catch share fisheries: The case of Alaska pollock," Marine Policy, Elsevier, vol. 50(PA), pages 280-289.
    5. Damette, Olivier & Delacote, Philippe & Lo, Gaye Del, 2018. "Households energy consumption and transition toward cleaner energy sources," Energy Policy, Elsevier, vol. 113(C), pages 751-764.
    6. Kidokoro, Yukihiro, 2016. "A micro foundation for discrete choice models with multiple categories of goods," Journal of choice modelling, Elsevier, vol. 19(C), pages 54-72.
    7. Alegre, Joaquín & Mateo, Sara & Pou, Llorenç, 2011. "A latent class approach to tourists’ length of stay," Tourism Management, Elsevier, vol. 32(3), pages 555-563.
    8. Mora Rodriguez, Jhon James, 2013. "Introduccion a la teoría del consumidor [Introduction to Consumer Theory]," MPRA Paper 48129, University Library of Munich, Germany, revised 08 Jul 2013.
    9. Víctor Casero-Alonso & Jesús López-Fidalgo, 2015. "Experimental designs in triangular simultaneous equations models," Statistical Papers, Springer, vol. 56(2), pages 273-290, May.
    10. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2018. "A discrete/continuous choice model on a nonconvex budget set," Econometric Reviews, Taylor & Francis Journals, vol. 37(2), pages 89-113, February.
    11. Tülin Erdem & Susumu Imai & Michael Keane, 2003. "Brand and Quantity Choice Dynamics Under Price Uncertainty," Quantitative Marketing and Economics (QME), Springer, vol. 1(1), pages 5-64, March.
    12. Ariel Casarin, 2014. "Regulated price reforms and unregulated substitutes: the case of residential piped gas in Argentina," Journal of Regulatory Economics, Springer, vol. 45(1), pages 34-56, February.
    13. Sofia Berto Villas-Boas, 2007. "Vertical Relationships between Manufacturers and Retailers: Inference with Limited Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(2), pages 625-652.
    14. Jason Allen & Robert Clark & Jean-François Houde, 2019. "Search Frictions and Market Power in Negotiated-Price Markets," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1550-1598.
    15. Pinjari, Abdul Rawoof & Bhat, Chandra, 2021. "Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis," Journal of choice modelling, Elsevier, vol. 39(C).
    16. Sofia Berto Villas‐Boas, 2009. "An empirical investigation of the welfare effects of banning wholesale price discrimination," RAND Journal of Economics, RAND Corporation, vol. 40(1), pages 20-46, March.
    17. Nicholas Rivers and Leslie Shiell, 2016. "Free-Riding on Energy Efficiency Subsidies: the Case of Natural Gas Furnaces in Canada," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    18. Bakaloglou, Salomé & Charlier, Dorothée, 2021. "The role of individual preferences in explaining the energy performance gap," Energy Economics, Elsevier, vol. 104(C).
    19. Nicholas Economides & Katja Seim & V. Brian Viard, 2008. "Quantifying the benefits of entry into local phone service," RAND Journal of Economics, RAND Corporation, vol. 39(3), pages 699-730, September.
    20. Steven Berry & Amit Gandhi & Philip Haile, 2013. "Connected Substitutes and Invertibility of Demand," Econometrica, Econometric Society, vol. 81(5), pages 2087-2111, September.

    More about this item

    Keywords

    Telecommunications demand; Subscription-calling rate structure; Stated-preference experimental analysis; Survey;
    All these keywords.

    JEL classification:

    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:10681. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.