IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Efficient Capacity Pricing of the Internet Services

  • Chang-Ho Yoon

    ()

    (Department of Economics, Korea University)

  • Young-Woong Song

    (SK Research Institute for SUPEX Management)

  • Byoung Heon Jun

    ()

    (Department of Economics, Korea University)

The paper examines the possibilities to improve efficiency in Internet pricing by introducing pre-purchase contract. One can regard pre-purchase market as a device for providing guaranteed services and as an alternative to smart market that can implement expected capacity pricing in an efficient manner. We find that the pre-purchase market tends to discriminate against the consumers who are less certain about their demands. We provide a condition under which the discriminatory effect is overwhelmed by the market force, which discourages the consumers with lower value by high premium. We also suggest a solution to the discriminatory effect.

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: http://econ.korea.ac.kr/~ri/WorkingPapers/w0508.pdf
Download Restriction: no

Paper provided by Institute of Economic Research, Korea University in its series Discussion Paper Series with number 0508.

as
in new window

Length:
Date of creation: 2005
Date of revision:
Handle: RePEc:iek:wpaper:0508
Contact details of provider: Postal: 1-5-Ga, Anam-dong, Sung buk-ku, Seoul, 136-701
Phone: (82-2)3290-1633
Fax: (82-2) 928-4948
Web page: http://econ.korea.ac.kr/~ri

More information through EDIRC

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. Apostolopoulos, Theodore & Courcoubetis, Costas & Cohen, Sandra & Psiakki, Xanthi, 2000. "Multiple incentive internet pricing for national academic research networks: a case study," Telecommunications Policy, Elsevier, vol. 24(6-7), pages 591-611, August.
  2. McKnight, Lee W. & Boroumand, Jahangir, 2000. "Pricing Internet services: after flat rate," Telecommunications Policy, Elsevier, vol. 24(6-7), pages 565-590, August.
  3. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1999. "Information and time-of-usage decisions in the bottleneck model with stochastic capacity and demand," European Economic Review, Elsevier, vol. 43(3), pages 525-548, March.
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:iek:wpaper:0508. 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: (Kim, Jisoo)

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.