In many environmental valuation applications standard sample sizes for choice modelling surveys areimpractical to achieve. One can improve data quality using more in-depth surveys administered tofewer respondents.We report on a study using high quality rank-ordered data elicited with the bestworstapproach. The resulting “exploded logit” choice model, estimated on 64 responses per person,was used to study the willingness to pay for external benefits by visitors for policies which maintain thecultural heritage of alpine grazing commons.We find evidence supporting this approach and reasonableestimates of mean WTP, which appear theoretically valid and policy informative.
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