IDEAS home Printed from https://ideas.repec.org/a/kea/keappr/ker-200112-17-2-07.html
   My bibliography  Save this article

Analyzing Dichotomous Choice Contingent Valuation Data With Zero Observations: A Mixture Model

Author

Listed:
  • Seung-Hoo Yoo

    (Hoseo University)

  • Hee-Jong Yang

    (Korea Institute of S&T Evaluation and Planning)

  • Eui Soon Shin

    (Yonsei University)

Abstract

Modeling public behavior to the policy with the data from dichotomous choice contingent valuation (DCCV) surveys is often complicated by zero willingness to pay (WTP) responses in the sample. To deal with the zero responses to obtain appropriate welfare measure such as mean and median WTP, we consider a mixture model of WTP distributions to allow a point mass at zero. We also consider the conventional model and a spike model for comparison. Our application reported here portrays the usefulness of the mixture model to analyze DCCV data with zero observations.

Suggested Citation

  • Seung-Hoo Yoo & Hee-Jong Yang & Eui Soon Shin, 2001. "Analyzing Dichotomous Choice Contingent Valuation Data With Zero Observations: A Mixture Model," Korean Economic Review, Korean Economic Association, vol. 17, pages 311-327.
  • Handle: RePEc:kea:keappr:ker-200112-17-2-07
    as

    Download full text from publisher

    File URL: http://keapaper.kea.ne.kr/RePEc/kea/keappr/KER-200112-17-2-07.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Dichotomous choice contingent valuation; willingness to pay; mixture model; spike model; zero response;
    All these keywords.

    JEL classification:

    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    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:kea:keappr:ker-200112-17-2-07. 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: KEA (email available below). General contact details of provider: https://edirc.repec.org/data/keaaaea.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.