Efficiency benefits of choice model experimental design updating: a case study

dc.creatorKerr, Geoffrey N.
dc.creatorSharp, Basil M.H.
dc.date2017-04-01T19:51:41Z
dc.date.accessioned2026-07-09T04:41:05Z
dc.descriptionEfficient experimental designs offer the potential to reduce confidence intervals for parameters of interest in choice models, or to reduce required sample sizes. C-efficiency recognises the salience of willingness to pay estimates rather than utility function parameters. This study reports on a choice model application that incorporated updated statistical designs based on initial responses in order to maximise C-efficiency. The revised design delivered significant improvements.
dc.identifierdoi:10.22004/ag.econ.47623
dc.identifierhttps://ageconsearch.umn.edu/record/47623/files/Kerr.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/47623
dc.identifier.urihttp://hdl.handle.net/123456789/553489
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/47623
dc.titleEfficiency benefits of choice model experimental design updating: a case study
dc.typeText

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