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

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Author Info
Kelvin Balcombe
Iain Fraser ()

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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.

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File URL: ftp://ftp.ukc.ac.uk/pub/ejr/RePEc/ukc/ukcedp/0916.pdf
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Paper provided by Department of Economics, University of Kent in its series Studies in Economics with number 0916.

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Date of creation: Oct 2009
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Handle: RePEc:ukc:ukcedp:0916

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Postal: Department of Economics, University of Kent at Canterbury, Canterbury, Kent, CT2 7NP
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Related research
Keywords: Choice Experiment; Respondent Uncertainty; Bayesian Methods;

Find related papers by JEL classification:
C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models
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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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. DeShazo, J. R. & Fermo, German, 2002. "Designing Choice Sets for Stated Preference Methods: The Effects of Complexity on Choice Consistency," Journal of Environmental Economics and Management, Elsevier, vol. 44(1), pages 123-143, July. [Downloadable!] (restricted)
  2. Welsh, Michael P. & Poe, Gregory L., 1998. "Elicitation Effects in Contingent Valuation: Comparisons to a Multiple Bounded Discrete Choice Approach," Journal of Environmental Economics and Management, Elsevier, vol. 36(2), pages 170-185, September. [Downloadable!] (restricted)
  3. Joshua P. Berning & Hayley H. Chouinard & Jill J. McCluskey, 2008. "Consumer Preferences for Detailed versus Summary Formats of Nutrition Information on Grocery Store Shelf Labels," Journal of Agricultural & Food Industrial Organization, Berkeley Electronic Press, vol. 6(1). [Downloadable!]
  4. Riccardo Scarpa & Mara Thiene & Kenneth Train, 2008. "Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," American Journal of Agricultural Economics, American Agricultural Economics Association, vol. 90(4), pages 994-1010, November. [Downloadable!] (restricted)
  5. Balcombe, Kelvin & Chalak, Ali & Fraser, Iain, 2009. "Model selection for the mixed logit with Bayesian estimation," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 226-237, March. [Downloadable!] (restricted)
  6. Maria L. Loureiro & Azucena Gracia & Rodolfo M. Nayga, 2006. "Do consumers value nutritional labels?," European Review of Agricultural Economics, Oxford University Press for the Foundation for the European Review of Agricultural Economics, vol. 33(2), pages 249-268, June.
  7. Riccardo Scarpa & John M. Rose, 2008. "Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why *," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society and Blackwell Publishing Asia Pty Ltd., vol. 52(3), pages 253-282, 09. [Downloadable!] (restricted)
  8. Mary F. Evans & Nicholas E. Flores & Kevin J. Boyle, 2003. "Multiple-Bounded Uncertainty Choice Data as Probabilistic Intentions," Land Economics, University of Wisconsin Press, vol. 79(4), pages 549-560. [Downloadable!] (restricted)
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