Optimal Experimental Design for Double-Bounded Dichotomous Choice Contingent Valuation
The double-bounded dichotomous choice model is becoming popular in the contingent valuation literature. This technique considers the responses to two bids, the second one being determined according to the response to the first, and it has been shown to be statistically more efficient than the standard, single-bounded model. In this paper, the issue of the optimal choice of bid values for the double-bounded logit model is addressed. These designs are derived to satisfy the D-optimal, C-optimal, and Fiducial Method criteria.
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.
When requesting a correction, please mention this item's handle: RePEc:uwp:landec:v:69:y:1993:i:2:p:138-146. 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: ()
If references are entirely missing, you can add them using this form.