We compare the ability of three preference elicitation methods (hypothetical choices, non-hypothetical choices, and non-hypothetical rankings) and three discrete-choice econometric models (the multinomial logit, the independent availability logit, and the random parameter logit) to predict actual retail shopping behavior in three different product categories (ground beef, wheat flour, and dishwashing liquid). Overall, across all methods, we find a reasonably high level of external validity. Our results suggest that the non-hypothetical elicitation approaches, especially the non-hypothetical ranking, outperformed the hypothetical choice experiment in predicting retail sales. We also find that the random parameter logit can have superior predictive performance, but that the multinomial logit predicts equally well in some circumstances.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Length: Date of creation: 2008 Date of revision: Handle: RePEc:ags:aaea08:43600
Contact details of provider: Postal: 555 East Wells Street, Suite 1100, Milwaukee, Wisconsin 53202 Phone: (414) 918-3190 Fax: (414) 276-3349 Email: Web page: http://www.aaea.org More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (AgEcon Search).