IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Demand Elasticities for Mobile Telecommunications in Austria

  • Ralf Dewenter


  • Justus Haucap


This paper analyses price elasticities in the Austrian market for mobile telecommunications services using data on firm specific tariffs in the period between January 1998 and March 2002. Dynamic panel data regressions are used to estimate short-run and long-run demand elasticities for business customers and for private consumers with both postpaid contracts and prepaid cards.We find that business customers have a higher elasticity of demand than private consumers, where postpaid customers tend to have a higher demand elasticity than prepaid customers. Also demand is generally more elastic in the long run. In addition, the paper also provides estimates for firm-specific demand elasticities which range from –0.47 to –1.1.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

Paper provided by Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen in its series Ruhr Economic Papers with number 0017.

in new window

Length: 31 pages
Date of creation: Jun 2007
Date of revision:
Handle: RePEc:rwi:repape:0017
Contact details of provider: Postal:
Hohenzollernstraße 1-3, 45128 Essen

Phone: (0201)8149-0
Fax: (0201)8149-200
Web page:

More information through EDIRC

Order Information: Web:

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.:

as in new window
  1. Kaiser, Ulrich & Wright, Julian, 2004. "Price Structure in Two-sided Markets: Evidence from the Magazine Industry?," ZEW Discussion Papers 04-80, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  2. Philip M. Parker & Lars-Hendrik Roller, 1997. "Collusive Conduct in Duopolies: Multimarket Contact and Cross-Ownership in the Mobile Telephone Industry," RAND Journal of Economics, The RAND Corporation, vol. 28(2), pages 304-322, Summer.
  3. Sergio Da Silva & Gustavo Manfrim, 2007. "Estimating demand elasticities of fixed telephony in Brazil," Economics Bulletin, AccessEcon, vol. 12(5), pages 1-9.
  4. Hausman, Jerry, 1999. "Cellular Telephone, New Products, and the CPI," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(2), pages 188-94, April.
  5. Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-52, Special I.
  6. Baltagi, Badi H. & Chang, Young-Jae, 1994. "Incomplete panels : A comparative study of alternative estimators for the unbalanced one-way error component regression model," Journal of Econometrics, Elsevier, vol. 62(2), pages 67-89, June.
  7. Buehler, Stefan & Dewenter, Ralf & Haucap, Justus, 2006. "Mobile number portability in Europe," Telecommunications Policy, Elsevier, vol. 30(7), pages 385-399, August.
  8. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
  9. Baltagi, Badi H. & Chang, Young-Jae, 2000. "Simultaneous Equations With Incomplete Panels," Econometric Theory, Cambridge University Press, vol. 16(02), pages 269-279, April.
  10. Ahn, Hyungtaik & Lee, Myeong-Ho, 1999. "An econometric analysis of the demand for access to mobile telephone networks," Information Economics and Policy, Elsevier, vol. 11(3), pages 297-305, September.
  11. Tommaso Valletti, 2003. "Is Mobile Telephony a Natural Oligopoly?," Review of Industrial Organization, Springer, vol. 22(1), pages 47-65, February.
  12. Gruber, Harald, 2001. "Spectrum limits and competition in mobile markets: the role of licence fees," Telecommunications Policy, Elsevier, vol. 25(1-2), pages 59-70, February.
  13. Peter C. B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Econometrica, Econometric Society, vol. 67(5), pages 1057-1112, September.
  14. Das, Pinaki & Srinivasan, P. V., 1999. "Demand for telephone usage in India," Information Economics and Policy, Elsevier, vol. 11(2), pages 177-194, July.
  15. repec:ebl:ecbull:v:12:y:2007:i:5:p:1-9 is not listed on IDEAS
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:rwi:repape:0017. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sabine Weiler)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.