The Impact of “Rollover” Contracts on Switching Costs in the UK Voice Market : Evidence from Disaggregate Customer Billing Data
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Crawford, Gregory & Tosini, Nicola & Waehrer, Keith, 2011. "The Impact of 'Rollover' Contracts on Switching Costs in the UK Voice Market: Evidence from Disaggregate Customer Billing Data," CEPR Discussion Papers 8693, C.E.P.R. Discussion Papers.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Stephanie Lee, 2017. "Does Bundling Decrease the Probability of Switching Telecommunications Service Providers?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 50(3), pages 303-322, May.
- Mitja Kovač & Ann-Sophie Vandenberghe, 2015. "Regulation of Automatic Renewal Clauses: A Behavioural Law and Economics Approach," Journal of Consumer Policy, Springer, vol. 38(3), pages 287-313, September.
- Michael Grubb, 2015.
"Failing to Choose the Best Price: Theory, Evidence, and Policy,"
Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(3), pages 303-340, November.
- Michael D. Grubb, 2015. "Failing to Choose the Best Price: Theory, Evidence, and Policy," Boston College Working Papers in Economics 878, Boston College Department of Economics.
- Deuflhard, Florian, 2018. "Quantifying inertia in retail deposit markets," SAFE Working Paper Series 223, Leibniz Institute for Financial Research SAFE.
- Benjamin R. Handel, 2011. "Adverse Selection and Switching Costs in Health Insurance Markets: When Nudging Hurts," NBER Working Papers 17459, National Bureau of Economic Research, Inc.
More about this item
JEL classification:
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
- L43 - Industrial Organization - - Antitrust Issues and Policies - - - Legal Monopolies and Regulation or Deregulation
- L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
NEP fields
This paper has been announced in the following NEP Reports:- NEP-COM-2012-03-14 (Industrial Competition)
Statistics
Access and download statisticsCorrections
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:wrk:warwec:980. 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: Margaret Nash (email available below). General contact details of provider: https://edirc.repec.org/data/dewaruk.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.