Designs efficiency for non-market valuation with choice modelling: how to measure it, what to report and why

dc.contributor.authorRose, John M.
dc.contributor.authorScarpa, Riccardo
dc.date.accessioned2008-12-14T20:13:39Z
dc.date.available2008-12-14T20:13:39Z
dc.date.issued2007-10
dc.description.abstractWe review the basic principles for the evaluation of design efficiency in discrete choice modelling with a focus on efficiency of WTP estimates from the multinomial logit model. The discussion is developed under the realistic assumption that researchers can plausibly define a prior on the utility coefficients. Some new measures of design performance in applied studies are proposed and their rationale discussed. An empirical example based on the generation and comparison of fifteen separate designs from a common set of assumptions illustrates the relevant considerations to the context of non-market valuation, with particular emphasis placed on C-efficiency. Conclusions are drawn for the practice of reporting in non-market valuation and for future work on design research.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.citationRose, J. M. & Scarpa, R. (2007). Designs efficiency for non-market valuation with choice modelling: how to measure it, what to report and why. (Department of Economics Working Paper Series, Number 21/07). Hamilton, New Zealand: University of Waikato.en_US
dc.identifier.urihttps://hdl.handle.net/10289/1604
dc.language.isoen
dc.relation.ispartofseriesDepartment of Economics Working Paper Series
dc.subjectefficient experimental designen_US
dc.subjectmultinomial logiten_US
dc.subjectrandom utility modelen_US
dc.subjectchoice modelingen_US
dc.subjectnonmarket valuationen_US
dc.subjectC-efficiencyen_US
dc.titleDesigns efficiency for non-market valuation with choice modelling: how to measure it, what to report and whyen_US
dc.typeWorking Paperen_US
dspace.entity.typePublication
uow.relation.series21/07

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