IDEAS home Printed from https://ideas.repec.org/a/kap/regeco/v16y1999i1p45-81.html
   My bibliography  Save this article

Calling Patterns and Usage of Residential Toll Service under Self-Selecting Tariffs

Author

Listed:
  • Lee, Bosang

Abstract

Using a nested logit model, we empirically show how self-selecting tariffs with basic and OCP (Optional Calling Plan) service options affect households' calling patterns and usage of interstate toll service in the United States. We find, first, that households are more sensitive to price declines than to price increases in terms of both consumption and expenditures. Second, households respond more sensitively to OCP price changes than to basic service price changes. Third, consumption changes are more sensitive than expenditures, indicating that households adjust their calling patterns or service options so as to keep expenditures on telephone bills relatively constant. Copyright 1999 by Kluwer Academic Publishers

Suggested Citation

  • Lee, Bosang, 1999. "Calling Patterns and Usage of Residential Toll Service under Self-Selecting Tariffs," Journal of Regulatory Economics, Springer, vol. 16(1), pages 45-81, July.
    • Handle: RePEc:kap:regeco:v:16:y:1999:i:1:p:45-81
    as

    Download full text from publisher

    File URL: http://journals.kluweronline.com/issn/0922-680X/contents
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Alfandari, Laurent & Hassanzadeh, Alborz & Ljubic, Ivana, 2020. "An Exact Method for Assortment Optimization under the Nested Logit Model," ESSEC Working Papers WP2001, ESSEC Research Center, ESSEC Business School, revised 2020.
    2. repec:rri:wpaper:200704 is not listed on IDEAS
    3. Batley, Richard & Hess, Stephane, 2016. "Testing for regularity and stochastic transitivity using the structural parameter of nested logit," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 355-376.
    4. Matthew Kovach & Gerelt Tserenjigmid, 2022. "Behavioral Foundations of Nested Stochastic Choice and Nested Logit," Journal of Political Economy, University of Chicago Press, vol. 130(9), pages 2411-2461.
    5. Salon, Deborah, 2009. "Neighborhoods, cars, and commuting in New York City: A discrete choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 180-196, February.
    6. James M. Davis & Guillermo Gallego & Huseyin Topaloglu, 2014. "Assortment Optimization Under Variants of the Nested Logit Model," Operations Research, INFORMS, vol. 62(2), pages 250-273, April.
    7. Breitmoser, Yves, 2010. "Hierarchical Reasoning versus Iterated Reasoning in p-Beauty Contest Guessing Games," MPRA Paper 19893, University Library of Munich, Germany.
    8. Mara Thiene & Riccardo Scarpa, 2008. "Hiking in the Alps: Exploring Substitution Patterns of Hiking Destinations," Tourism Economics, , vol. 14(2), pages 263-282, June.
    9. Tan, Jonathan H.W. & Breitmoser, Yves & Bolle, Friedel, 2015. "Voluntary contributions by consent or dissent," Games and Economic Behavior, Elsevier, vol. 92(C), pages 106-121.
    10. Christiadi & Brian Cushing, 2007. "Conditional Logit, IIA, and Alternatives for Estimating Models of Interstate Migration," Working Papers Working Paper 2007-04, Regional Research Institute, West Virginia University.
    11. Wang, Jin, 2021. "Do birds of a feather flock together? Platform’s quality screening and end-users’ choices theory and empirical study of online trading platforms," International Journal of Industrial Organization, Elsevier, vol. 75(C).
    12. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.

    More about this item

    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:kap:regeco:v:16:y:1999:i:1:p:45-81. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.