Kerr, GeoffreySharp, B2011-04-072009-08https://hdl.handle.net/10182/3431Efficient experimental designs offer the potential to reduce confidence intervals for parameters of interest in choice models, or to reduce required sample sizes. C-efficiency recognizes 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 maximize C-efficiency. The revised design delivered significant improvements.enCopyright by author(s). Readers may make copies of this document for non-commercial purposes only, provided that this copyright notice appears on all such copies.experimental designchoice experimentefficiencyConference Contribution - unpublished