LOGIT MODELS FOR POOLED CONTINGENT VALUATION AND CONTINGENT RATING AND RANKING DATA: VALUING BENEFITS FROM FOREST BIODIVERSITY CONSERVATION

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dc.creatorSiikamaki, Juha
dc.creatorLayton, David F.
dc.date2017-04-01T14:53:18Z
dc.date.accessioned2026-07-09T03:32:10Z
dc.descriptionContingent valuation and contingent rating and ranking methods for measuring willingness-to-pay for non-market goods are compared by using random coefficient models and data pooling methods. Pooled models on CV data and CR data on the preferred choice accept pooling if scale differences between the model estimates of CV and CR methods are allowed for. More detailed response models, such as pooled CV model and rank-ordered models for two or three ranks, reject pooling of the data.
dc.identifierdoi:10.22004/ag.econ.20616
dc.identifierhttps://ageconsearch.umn.edu/record/20616/files/sp01si01.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/20616
dc.identifier.urihttp://hdl.handle.net/123456789/534496
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/20616
dc.titleLOGIT MODELS FOR POOLED CONTINGENT VALUATION AND CONTINGENT RATING AND RANKING DATA: VALUING BENEFITS FROM FOREST BIODIVERSITY CONSERVATION
dc.typeText

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