Testing the stability of the benefit transfer function for discrete choice contingent valuation data

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dc.contributor.authorMatthews, David I.
dc.contributor.authorHutchinson, W. George
dc.contributor.authorScarpa, Riccardo
dc.date.accessioned2008-12-14T22:13:35Z
dc.date.available2008-12-14T22:13:35Z
dc.date.issued2007-05
dc.description.abstractWe examine the stability of the benefit transfer function across 42 recreational forests in the British Isles. A working definition of reliable function transfer is put forward, and a suitable statistical test is provided. The test is based on the sensitivity of the model log-likelihood to removal of individual forest recreation sites. We apply the proposed methodology on discrete choice contingent valuation data and find that a stable function improves our measure of transfer reliability, but not by much. We conclude that, in empirical studies on transferability, function stability considerations are secondary to the availability and quality of site attribute data. Modellers’ can study the advantages of transfer function stability vis-à-vis the value of additional information on recreation site attributes.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.citationMatthews, D. I., Hutchinson, W. G. & Scarpa, R. (2007). Testing the stability of the benefit transfer function for discrete choice contingent valuation data. (Department of Economics Working Paper Series, Number 8/07). Hamilton, New Zealand: University of Waikato.en_US
dc.identifier.urihttps://hdl.handle.net/10289/1617
dc.language.isoen
dc.relation.ispartofseriesDepartment of Economics Working Paper Series
dc.subjectbenefit function transferen_US
dc.subjectfunction stability testsen_US
dc.subjecttransfer reliabilityen_US
dc.subjectforest recreation valuesen_US
dc.subjectcontingent valuationen_US
dc.subjectsplit sampleen_US
dc.titleTesting the stability of the benefit transfer function for discrete choice contingent valuation dataen_US
dc.typeWorking Paperen_US
uow.relation.series8/07
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