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dc.contributor.authorLeon-Gonzalez, Roberto
dc.contributor.authorScarpa, Riccardo
dc.identifier.citationLeon-Gonzalez, R., & Scarpa, R. (2008). Improving multi-site benefit functions via Bayesian model averaging: A new approach to benefit transfer. Journal of Environmental Economics and Management, 56(1), 50-68.en_NZ
dc.description.abstractA benefit function transfer obtains estimates of willingness-to-pay (WTP) for the evaluation of a given policy at a site by combining existing information from different study sites. This has the advantage that more efficient estimates are obtained, but it relies on the assumption that the heterogeneity between sites is appropriately captured in the benefit transfer model. A more expensive alternative to estimate WTP is to analyze only data from the policy site in question while ignoring information from other sites. We make use of the fact that these two choices can be viewed as a model selection problem and extend the set of models to allow for the hypothesis that the benefit function is only applicable to a subset of sites. We show how Bayesian model averaging (BMA) techniques can be used to optimally combine information from all models. The Bayesian algorithm searches for the set of sites that can form the basis for estimating a benefit function and reveals whether such information can be transferred to new sites for which only a small data set is available. We illustrate the method with a sample of 42 forests from U.K. and Ireland. We find that BMA benefit function transfer produces reliable estimates and can increase about 8 times the information content of a small sample when the forest is ‘poolable’.en_NZ
dc.relation.ispartofJournal of Environmental Economics and Management
dc.subjectbenefit transferen_NZ
dc.subjectBayesian model averagingen_NZ
dc.subjectnon-market valuationen_NZ
dc.subjectpanel dataen_NZ
dc.titleImproving multi-site benefit functions via Bayesian model averaging: A new approach to benefit transferen_NZ
dc.typeJournal Articleen_NZ
dc.relation.isPartOfJournal of Environmental Economics and Managementen_NZ

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