A General Treatment of Non-Response Data From Choice Experiments Using Logit Models
AbstractA 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.
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Bibliographic InfoPaper provided by Department of Economics, University of Kent in its series Studies in Economics with number 0916.
Date of creation: Oct 2009
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Postal: Department of Economics, University of Kent at Canterbury, Canterbury, Kent, CT2 7NP
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Find related papers by JEL classification:
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
- Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-10-24 (All new papers)
- NEP-DCM-2009-10-24 (Discrete Choice Models)
- NEP-ECM-2009-10-24 (Econometrics)
- NEP-EXP-2009-10-24 (Experimental Economics)
- NEP-UPT-2009-10-24 (Utility Models & Prospect Theory)
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