This paper introduces model specifications that can be used to explain response incentive effects that might occur with discrete response contingent valuation data when follow-up responses are collected. The models allow for possible random response shocks, structural shifts in willingness to pay between payment questions and heteroskedasticity between and within responses. Three well-known contingent valuation survey datasets that include follow-up payment questions are used to empirically test the models.
* University of Colorado, Boulder
** University of Minnesota, Minneapolis
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. 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.
For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Related research
Keywords:
Other versions of this item:
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.:
Carson, Richard T. & Hanemann, W. Michael, 2006.
"Contingent Valuation,"
Handbook of Environmental Economics,
in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 17, pages 821-936
Elsevier.
[Downloadable!] (restricted)
Cited by: (explanations, 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.) This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.