IDEAS home Printed from https://ideas.repec.org/a/bla/ecinqu/v53y2015i2p1396-1400.html
   My bibliography  Save this article

Dubious And Dubiouser: Contingent Valuation And The Time Of Day

Author

Listed:
  • David L. Dickinson
  • John C. Whitehead

Abstract

type="main" xml:id="ecin12161-abs-0001"> We collect contingent valuation data from 524 student survey respondents over a 3-day, 72-hour period. Data analysis of a hypothetical campus referendum focuses on time-of-day effects on willingness to pay for a renewable energy project. We find that subjects responding to the survey during the night-time hours (i.e., between 12 a.m. and 6 a.m.) do not display the law of demand, offering theoretically invalid responses to questions with important policy implications. Results from this research may have serious implications for the contingent valuation method (CVM). In short, just like your father said, nothing good happens after midnight when using the CVM . ( JEL Q51)

Suggested Citation

  • David L. Dickinson & John C. Whitehead, 2015. "Dubious And Dubiouser: Contingent Valuation And The Time Of Day," Economic Inquiry, Western Economic Association International, vol. 53(2), pages 1396-1400, April.
  • Handle: RePEc:bla:ecinqu:v:53:y:2015:i:2:p:1396-1400
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/ecin.2015.53.issue-2
    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. Pamela Wicker & John C Whitehead & Daniel S Mason & Bruce K Johnson, 2017. "Public support for hosting the Olympic Summer Games in Germany: The CVM approach," Urban Studies, Urban Studies Journal Limited, vol. 54(15), pages 3597-3614, November.
    2. David L. Dickinson & Andrew R. Smith & Robert McClelland, 2019. "An Examination of Circadian Impacts on Judgments," Working Papers 19-11, Department of Economics, Appalachian State University.
    3. Dastan Bamwesigye & Petra Hlavackova & Andrea Sujova & Jitka Fialova & Petr Kupec, 2020. "Willingness to Pay for Forest Existence Value and Sustainability," Sustainability, MDPI, vol. 12(3), pages 1-16, January.
    4. Bishop, James, 2015. "No Rest for the Weary: Commuting, Hours Worked, and Sleep," MPRA Paper 62162, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

    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:bla:ecinqu:v:53:y:2015:i:2:p:1396-1400. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/weaaaea.html .

    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.