IDEAS home Printed from https://ideas.repec.org/a/taf/teepxx/v9y2020i2p125-139.html
   My bibliography  Save this article

The impact of arbitrary constraints over the payment parameter on WTP: a case of a normally distributed random parameter

Author

Listed:
  • Andy S. Choi

Abstract

This paper aims to substantiate the impact of the ‘old’ practice in environmental valuation that arbitrarily imposes a constrained distribution on the payment parameter, and to offer a rule of thumb guidance for the accurate willingness-to-pay (WTP) estimation using choice experiments. A ratio of means approach and a mean of ratios approach were compared for estimation accuracy, involving eleven simulated datasets and two real world cases. Contrary to what is still practiced in the literature, incorrectly constrained payment parameters can in fact cause a systematic misrepresentation of true mean WTP values. The overall findings suggest for researchers using choice experiments, as a rule of thumb, that mean WTP values for environmental changes might be safely and accurately estimated using the ratio of means approach based on population moments with an unconstrained random payment parameter. In contrast, the mean of ratios approach based on conditional individual-specific WTP ratios might be neither accurate nor reliable.

Suggested Citation

  • Andy S. Choi, 2020. "The impact of arbitrary constraints over the payment parameter on WTP: a case of a normally distributed random parameter," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 9(2), pages 125-139, April.
  • Handle: RePEc:taf:teepxx:v:9:y:2020:i:2:p:125-139
    DOI: 10.1080/21606544.2019.1614482
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/21606544.2019.1614482
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/21606544.2019.1614482?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.

    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:teepxx:v:9:y:2020:i:2:p:125-139. 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/teep20 .

    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.