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.
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