A Learning Design for Reducing Hypothetical Bias in the Contingent Valuation Method
Over the last few years a great deal of research has focussed on hypothetical bias in value estimates obtained with the contingent valuation (CV) method and on means for ameliorating if not eliminating such bias. To date, efforts to eliminate hypothetical bias have relied on calibration techniques or on word-smithing of one kind or another to induce subjects to provide responses to hypothetical questions that mimic responses made by subjects facing actual payments in the valuation experiment. This paper introduces a different approach for eliminating hypothetical bias. A design for a CV survey format is presented which provides subjects with the opportunity to “learn” how the CV institution works. Sequential referenda are conducted where respondents gain experience in CV settings by participating in both hypothetical and real referenda. The logic of this Learning Design is a straightforward application of the trials process used in experimental economics. We demonstrate that the Learning Design is effective in eliminating hypothetical bias in surveys concerning donations to two different public goods. Copyright Kluwer Academic Publishers 1997
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.
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.
Volume (Year): 10 (1997)
Issue (Month): 3 (October)
|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.:
- Kahneman, Daniel & Tversky, Amos, 1979.
"Prospect Theory: An Analysis of Decision under Risk,"
Econometric Society, vol. 47(2), pages 263-91, March.
- Amos Tversky & Daniel Kahneman, 1979. "Prospect Theory: An Analysis of Decision under Risk," Levine's Working Paper Archive 7656, David K. Levine.
- Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
- Fox, John A. & Shogren, J. & Hayes, Dermot J. & Kliebenstein, James, 2003.
"Cvm-X: Calibrating Contingent Values with Experimental Auction Markets,"
Staff General Research Papers
11935, Iowa State University, Department of Economics.
- John A. Fox & Jason F. Shogren & Dermot J. Hayes & James B. Kliebenstein, 1998. "CVM-X: Calibrating Contingent Values with Experimental Auction Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 455-465.
- Fox, John A. & Shogren, Jason F. & Hayes, Dermot J. & Kliebenstein, James, 1998. "Cvm-X: Calibrating Contingent Values with Experimental Auction Markets," Staff General Research Papers 1311, Iowa State University, Department of Economics.
- Brookshire, David S & Coursey, Don L, 1987. "Measuring the Value of a Public Good: An Empirical Comparison of Elicitation Procedures," American Economic Review, American Economic Association, vol. 77(4), pages 554-66, September.
- Neill Helen R., 1995. "The Context for Substitutes in CVM Studies: Some Empirical Observations," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 393-397, November.
When requesting a correction, please mention this item's handle: RePEc:kap:enreec:v:10:y:1997:i:3:p:207-221. 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 references are entirely missing, you can add them using this form.