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dc.contributor.authorScarpa, Riccardo
dc.contributor.authorNotaro, Sandra
dc.contributor.authorLouviere, Jordan J.
dc.contributor.authorRaffaelli, Roberta
dc.date.accessioned2011-08-25T03:22:33Z
dc.date.available2011-08-25T03:22:33Z
dc.date.issued2011
dc.identifier.citationScarpa, R., Notaro, S., Louviere, J. & Raffaelli, R. (2011). Exploring scale effects of best/worst rank ordered choice data to estimate benefits of tourism in alpine grazing commons. American Journal of Agricultural Economics, 93(3), 813-828.en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/5628
dc.description.abstractIn many environmental valuation applications standard sample sizes for choice modelling surveys are impractical to achieve. One can improve data quality using more in-depth surveys administered to fewer respondents. We report on a study using high quality rank-ordered data elicited with the best-worst approach. 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 the cultural heritage of alpine grazing commons. We find evidence supporting this approach and reasonable estimates of mean WTP, which appear theoretically valid and policy informative.en_NZ
dc.language.isoen
dc.publisherOxforden_NZ
dc.relation.urihttp://ajae.oxfordjournals.org/content/93/3/813en_NZ
dc.subjectbest-worst alternative selectionen_NZ
dc.subjectchoice modellingen_NZ
dc.subjectheteroskedastic logiten_NZ
dc.subjectnon-market valuationen_NZ
dc.subjectrank ordered choice modelsen_NZ
dc.titleExploring scale effects of best/worst rank ordered choice data to estimate benefits of tourism in alpine grazing commonsen_NZ
dc.typeJournal Articleen_NZ
dc.identifier.doi10.1093/ajae/aaq174en_NZ
dc.relation.isPartOfAmerican Journal of Agricultural Economicsen_NZ
pubs.begin-page813en_NZ
pubs.elements-id36398
pubs.end-page828en_NZ
pubs.issue3en_NZ
pubs.volume93en_NZ


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