Files
Abstract
Efficient 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.