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A general treatment of ‘don't know’ responses from choice experiments

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  • Kelvin Balcombe
  • Iain Fraser

Abstract

In this paper, a modelling approach is developed for the treatment of ‘don't know’(DK) responses, within choice experiments (CEs). 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 CE. We illustrate our model by applying it to a CE 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. , Oxford University Press.

Suggested Citation

  • Kelvin Balcombe & Iain Fraser, 2011. "A general treatment of ‘don't know’ responses from choice experiments," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 38(2), pages 171-191, June.
  • Handle: RePEc:oup:erevae:v:38:y:2011:i:2:p:171-191
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    File URL: http://hdl.handle.net/10.1093/erae/jbr010
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    Cited by:

    1. Kragt, Marit Ellen, 2013. "Comparing models of unobserved heterogeneity in environmental choice experiments," Working Papers 144447, University of Western Australia, School of Agricultural and Resource Economics.
    2. Dekker, Thijs & Hess, Stephane & Brouwer, Roy & Hofkes, Marjan, 2016. "Decision uncertainty in multi-attribute stated preference studies," Resource and Energy Economics, Elsevier, vol. 43(C), pages 57-73.
    3. Torres, Cati & Faccioli, Michela & Riera Font, Antoni, 2017. "Waiting or acting now? The effect on willingness-to-pay of delivering inherent uncertainty information in choice experiments," Ecological Economics, Elsevier, vol. 131(C), pages 231-240.
    4. Dekker, T. & Koster, P.R. & Brouwer, R., 2012. "Changing with the tide: Semi-parametric estimation of preference dynamics," Serie Research Memoranda 0005, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    5. Richard Yao & Riccardo Scarpa & John Rose & James Turner, 2015. "Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 433-455, November.
    6. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2017. "A Monte Carlo Evaluation of the Logit-Mixed Logit under Asymmetry and Multimodality," Working Papers in Economics 17/23, University of Waikato.
    7. Oehlmann, Malte & Weller, Priska & Meyerhoff, Jürgen, 2014. "Complexity-induced Status Quo Effects in Discrete Choice Experiments for Environmental Valutation," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100616, Verein für Socialpolitik / German Economic Association.

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