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

Cell Phone Demand and Consumer Learning – An Empirical Analysis

  • Martin Gaynor

    ()

    (H. John Heinz III School of Public Policy and Management Carnegie Mellon University)

  • Yunfeng Shi

    ()

    (H. John Heinz III School of Public Policy and Management Carnegie Mellon University)

  • Rahul Telang

    (H. John Heinz III School of Public Policy and Management Carnegie Mellon University)

  • William Vogt

    (H. John Heinz III School of Public Policy and Management Carnegie Mellon University Author-Workplace-Homepage)

A structural model is used in this paper to analyze the demand and learning behavior in cell phone market. We assume that the cell phone consumption can be divided into a high-value part and a low-value part. The consumers are assumed to be uncertain about the exogenous shock of the need for high-value usage and also their preferences over the low-value usage. Meanwhile, we assume that the consumers’ knowledge improves over time. As a result, the match between their plan choice and consumption pattern becomes better. Such a learning behavior is supported by the data set. Bayesian updating is used to represent the learning. The estimates of the parameters are obtained and compared to the benchmarks from previous research.

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://www.netinst.org/Shi.pdf
Download Restriction: no

Paper provided by NET Institute in its series Working Papers with number 05-28.

as
in new window

Length: 28 pages
Date of creation: Oct 2005
Date of revision: Oct 2005
Handle: RePEc:net:wpaper:0528
Contact details of provider: Web page: http://www.NETinst.org/

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. Daniel A. Ackerberg, 2003. "Advertising, learning, and consumer choice in experience good markets: an empirical examination," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(3), pages 1007-1040, 08.
  2. Nakil Sung & Yong-Hun Lee, 2002. "Substitution between Mobile and Fixed Telephones in Korea," Review of Industrial Organization, Springer, vol. 20(4), pages 367-374, June.
  3. McFadden, Daniel L & Train, Kenneth E, 1996. "Consumers' Evaluation of New Products: Learning from Self and Others," Journal of Political Economy, University of Chicago Press, vol. 104(4), pages 683-703, August.
  4. Carlos Martins-Filho & John W. Mayo, 1993. "Demand and Pricing of Telecommunications Services: Evidence and Welfare Implications," RAND Journal of Economics, The RAND Corporation, vol. 24(3), pages 439-454, Autumn.
  5. Miravete, Eugenio J, 2000. "Estimating Demand for Local Telephone Service with Asymmetric Information and Optional Calling Plans," CEPR Discussion Papers 2635, C.E.P.R. Discussion Papers.
  6. Kenneth E. Train & Daniel L. McFadden & Moshe Ben-Akiva, 1987. "The Demand for Local Telephone Service: A Fully Discrete Model of Residential Calling Patterns and Service Choices," RAND Journal of Economics, The RAND Corporation, vol. 18(1), pages 109-123, Spring.
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:net:wpaper:0528. 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: (Nicholas Economides)

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.