A general treatment of non-response data from choice experiments using logit models

Kelvin Balcombe and Iain Fraser

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. -- Choice Experiment ; Respondent Uncertainty ; Bayesian Methods

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Year of publication:	2009
Authors:	Balcombe, Kelvin G. ; Fraser, Iain M.
Publisher:	Canterbury : Univ. of Kent, Dep. of Economics
Subject:	Meinungsforschung \| Opinion poll \| Offenbarte Präferenzen \| Revealed preferences \| Lebensmittel \| Food \| Entscheidung unter Unsicherheit \| Decision under uncertainty \| Logit-Modell \| Logit model