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
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