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An Estimation of UK Telephone Access Demand Using Pseudo-Panel Data

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  • Katharina GASSNER
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    Abstract

    The policy of rebalancing tariffs in the newly liberalised telecommunications market has given rise to concerns about universal service issues. The rise of connection and rental charges threatens to increase the number of disconnections and burden low-income groups in a disproportionate manner. In order to assess the validity of these fears, we estimate a telephone access demand model based on UK houshold data. We use a pseudo-panel technique to account for the repeated cross-section nature of the data. Our reseulats of small, but significant price elasticities with respect to connection charges, line rental, and household income are consistent with evidence from North America. Furthermore, we find a significant differential in the elasticity measured between high- and low-income groups.

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    Bibliographic Info

    Paper provided by Université de Lausanne, Faculté des HEC, DEEP in its series Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) with number 9817.

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    Length: 25 pages
    Date of creation: Oct 1998
    Date of revision:
    Publication status: Published in Utilities Policy, vol. 7 (3), December 1998, pp. 143-154.
    Handle: RePEc:lau:crdeep:9817

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    Postal: Université de Lausanne, Faculté des HEC, DEEP, Internef, CH-1015 Lausanne
    Phone: ++41 21 692.33.64
    Fax: ++41 21 692.33.05
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    Web page: http://www.hec.unil.ch/deep/publications/cahiers/series
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    Keywords: universal service; telephone access; pseudo-panel data;

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    References

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    1. Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
    2. B.E. Davis & G.J. Caccappolo & M.A. Chaudry, 1973. "An Econometric Planning Model for American Telephone and Telegraph Company," Bell Journal of Economics, The RAND Corporation, vol. 4(1), pages 29-56, Spring.
    3. Kridel, Donald J & Taylor, Lester D, 1993. "The Demand for Commodity Packages: The Case of Telephone Custom Calling Features," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 362-68, May.
    4. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    5. Verbeek, M.J.C.M. & Nijman, T.E., 1990. "Can cohort data be treated as genuine panel data?," Discussion Paper 1990-64, Tilburg University, Center for Economic Research.
    6. Train, Kenneth E, 1994. "Self-Selecting Tariffs under Pure Preferences among Tariffs," Journal of Regulatory Economics, Springer, vol. 6(3), pages 247-64, September.
    7. Cracknell, David & Knott, Michael, 1995. "The measurement of price elasticities--the BT experience," International Journal of Forecasting, Elsevier, vol. 11(2), pages 321-329, June.
    8. Browning, Martin & Deaton, Angus & Irish, Margaret, 1985. "A Profitable Approach to Labor Supply and Commodity Demands over the Life-Cycle," Econometrica, Econometric Society, vol. 53(3), pages 503-43, May.
    9. Train, Kenneth E & Ben-Akiva, Moshe & Atherton, Terry, 1989. "Consumption Patterns and Self-selecting Tariffs," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 62-73, February.
    10. Cain, Paul & Macdonald, James M, 1991. "Telephone Pricing Structures: The Effects on Universal Service," Journal of Regulatory Economics, Springer, vol. 3(4), pages 293-308, December.
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    Cited by:
    1. Balmer, Roberto, 2013. "Competition and Market Strategies in the Swiss Fixed Telephony Market. An estimation of Swisscom’s dynamic residual demand curve," MPRA Paper 54078, University Library of Munich, Germany.

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