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

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.


Issue Date:
2009
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/47623
Total Pages:
11




 Record created 2017-04-01, last modified 2017-08-25

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