IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v24y2017i6p392-395.html
   My bibliography  Save this article

The value of non-personally identifiable information to consumers of online services: evidence from a discrete choice experiment

Author

Listed:
  • Garrett Glasgow
  • Sarah Butler

Abstract

We estimate the value of non-personally identifying information to consumers of online services through a discrete choice experiment based on hypothetical streaming video services. Non-personally identifying information for online services is typically information on the ways in and times at which customers use the service, and is distinct from personally identifying information such as email addresses or telephone numbers. For most of our survey respondents, we find no evidence that they were willing to pay to avoid sharing their non-personally identifying information with third parties. A smaller group of respondents never selected a service that shared information with third parties.

Suggested Citation

  • Garrett Glasgow & Sarah Butler, 2017. "The value of non-personally identifiable information to consumers of online services: evidence from a discrete choice experiment," Applied Economics Letters, Taylor & Francis Journals, vol. 24(6), pages 392-395, March.
  • Handle: RePEc:taf:apeclt:v:24:y:2017:i:6:p:392-395
    DOI: 10.1080/13504851.2016.1197357
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2016.1197357
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2016.1197357?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
    2. Narine Yegoryan & Daniel Guhl & Friederike Paetz, 2023. "When Zeros Count: Confounding in Preference Heterogeneity and Attribute Non-attendance," Rationality and Competition Discussion Paper Series 482, CRC TRR 190 Rationality and Competition.
    3. McKenzie, Jordi & Crosby, Paul & Cox, Joe & Collins, Alan, 2019. "Experimental evidence on demand for “on-demand” entertainment," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 98-113.

    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:taf:apeclt:v:24:y:2017:i:6:p:392-395. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.