A General Treatment of Non-Response Data From Choice Experiments Using Logit Models
Kelvin Balcombe and
Iain Fraser ()
Studies in Economics from School of Economics, University of Kent
A new approach is developed for the treatment of 'Don't Know' (DK) responses, within Choice Experiments. A DK option is motivated by the need to allow respondents the opportunity to express uncertainty. Our model explains a DK using an entropy measure of the similarity between options given to respondents within the Choice Experiment. We illustrate our model by applying it to a Choice Experiment examining consumer preferences for nutrient contents in food. We find that similarity between options in a given choice set does explain the tendency for respondents to report DK.
Keywords: Choice Experiment; Respondent Uncertainty; Bayesian Methods (search for similar items in EconPapers)
JEL-codes: C35 I18 Q18 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dcm, nep-ecm, nep-exp and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ukc:ukcedp:0916
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in Studies in Economics from School of Economics, University of Kent School of Economics, University of Kent, Canterbury, Kent, CT2 7FS.
Bibliographic data for series maintained by Tracey Girling ().