IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Nonparticipation or Misspecification? The Impacts of Nonparticipation on Dichotomous Choice Contingent Valuation

  • Timothy Haab

    ()

Registered author(s):

Dichotomous choice (or Referendum) contingent valuation surveys have become the predominate choice for valuing goods and services otherwise not valued in a standard market (nonmarket goods and services). A number of researchers have recently recommended that dichotomous choice contingent valuation studies include a follow-up question to all no responses to determine whether the no response is a result of unwillingness to pay, or nonparticipation. If the goal of the study is to investigate the impact of covariates on either mean willingness to pay or the probability of nonparticipation, simple identification of indifferent individuals will not suffice. A simulation study shows that existing econometric models designed to account for nonparticipation are extremely sensitive to misspecification bias. Accurate identification of the probability of nonparticipation is hampered by potential misspecification of the distribution of willingness to pay. Copyright Kluwer Academic Publishers 1999

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://hdl.handle.net/10.1023/A:1008349525868
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by European Association of Environmental and Resource Economists in its journal Environmental and Resource Economics.

Volume (Year): 14 (1999)
Issue (Month): 4 (December)
Pages: 443-461

as
in new window

Handle: RePEc:kap:enreec:v:14:y:1999:i:4:p:443-461
Contact details of provider: Web page: http://www.springerlink.com/link.asp?id=100263

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. An, Mark Y. & Roberto Ayala, 1995. "A Mixture Model of Willingness to Pay Distributions," Working Papers 95-21, Duke University, Department of Economics.
  2. Carson Richard T. & Mitchell Robert Cameron, 1995. "Sequencing and Nesting in Contingent Valuation Surveys," Journal of Environmental Economics and Management, Elsevier, vol. 28(2), pages 155-173, March.
  3. Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
  4. Richard Carson & Robert Mitchell & Michael Hanemann & Raymond Kopp & Stanley Presser & Paul Ruud, 2003. "Contingent Valuation and Lost Passive Use: Damages from the Exxon Valdez Oil Spill," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 25(3), pages 257-286, July.
  5. Richard C. Ready & Dayuan Hu, 1995. "Statistical Approaches to the Fat Tail Problem for Dichotomous Choice Contingent Valuation," Land Economics, University of Wisconsin Press, vol. 71(4), pages 491-499.
  6. Timothy C. Haab & Kenneth E. McConnell, 1998. "Referendum Models and Economic Values: Theoretical, Intuitive, and Practical Bounds on Willingness to Pay," Land Economics, University of Wisconsin Press, vol. 74(2), pages 216-229.
  7. Timothy C. Haab & Kenneth E. McConnell, . "Referendum Models and Negative Willingness to Pay: Alternative Solutions," Working Papers 9610, East Carolina University, Department of Economics.
  8. McConnell, K. E., 1990. "Models for referendum data: The structure of discrete choice models for contingent valuation," Journal of Environmental Economics and Management, Elsevier, vol. 18(1), pages 19-34, January.
  9. John W. Duffield & David A. Patterson, 1991. "Inference and Optimal Design for a Welfare Measure in Dichotomous Choice Contingent Valuation," Land Economics, University of Wisconsin Press, vol. 67(2), pages 225-239.
  10. Bengt Kristrom, 1990. "A Non-Parametric Approach to the Estimation of Welfare Measures in Discrete Response Valuation Studies," Land Economics, University of Wisconsin Press, vol. 66(2), pages 135-139.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:kap:enreec:v:14:y:1999:i:4:p:443-461. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn)

or (Christopher F. Baum)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.