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A General Treatment of Non-Response Data From Choice Experiments Using Logit Models

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  • Kelvin Balcombe
  • Iain Fraser

    ()

Abstract

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.

Suggested Citation

  • Kelvin Balcombe & Iain Fraser, 2009. "A General Treatment of Non-Response Data From Choice Experiments Using Logit Models," Studies in Economics 0916, School of Economics, University of Kent.
    • Handle: RePEc:ukc:ukcedp:0916
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    References listed on IDEAS

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    More about this item

    Keywords

    Choice Experiment; Respondent Uncertainty; Bayesian Methods;

    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

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