Kerr, Geoffrey N.Sharp, B.2012-02-222009-02https://hdl.handle.net/10182/4254Efficient 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.enCopyright by author(s).experimental designchoice experimentefficiencyResearch Methods/ Statistical MethodsConference Contribution - unpublished