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Using Attribute Importance Rankings within Discrete Choice Experiments: An Application to Valuing Bread Attributes

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  • Balcombe, Kelvin George
  • Bitzios, Michael
  • Fraser, Iain
  • Haddock-Fraser, Janet

Abstract

We present a new Bayesian econometric speci cation for a hypothetical Discrete Choice Experiment (DCE) incorporating respondent ranking information about attribute impor- tance. Our results indicate that a DCE debrie ng question that asks respondents to rank the importance of attributes helps to explain the resulting choices. We also examine how mode of survey delivery (online and mail) impacts model performance, nding that results are not substantively a¤ected by the mode of survey delivery. We conclude that the ranking data is a complementary source of information about respondent utility functions within hypothetical DCEs.

Suggested Citation

  • Balcombe, Kelvin George & Bitzios, Michael & Fraser, Iain & Haddock-Fraser, Janet, 2013. "Using Attribute Importance Rankings within Discrete Choice Experiments: An Application to Valuing Bread Attributes," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152151, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare13:152151
    DOI: 10.22004/ag.econ.152151
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    Cited by:

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    3. Shiwen Quan & Yinchu Zeng & Xiaohua Yu & Te Bao, 2018. "WTP for baby milk formula in China: Using attribute nonattendance as a priori information to select attributes in choice experiment," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 300-320, March.
    4. Hayk Khachatryan & Alicia L. Rihn & Benjamin Campbell & Chengyan Yue & Charles Hall & Bridget Behe, 2017. "Visual Attention to Eco-Labels Predicts Consumer Preferences for Pollinator Friendly Plants," Sustainability, MDPI, vol. 9(10), pages 1-14, September.
    5. Menegaki, Angeliki, N. & Olsen, Søren Bøye & Tsagarakis, Konstantinos P., 2016. "Towards a common standard – A reporting checklist for web-based stated preference valuation surveys and a critique for mode surveys," Journal of choice modelling, Elsevier, vol. 18(C), pages 18-50.
    6. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    7. Harmsen - van Hout, Marjolein & Ghosh, Gaurav & Madlener, Reinhard, 2013. "An Evaluation of Attribute Anchoring Bias in a Choice Experimental Setting," FCN Working Papers 6/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    8. Eeva ALHO, 2019. "Farmers’ Willingness To Invest In New Cooperative Instruments: A Choice Experiment," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 90(1), pages 161-186, March.
    9. Oyinbo, O. & Maertens, M. & Chamberlin, J. & Vanlauwe, B. & Craufurd, P. & Kamara, A., 2018. "Maize Farmers Preferences for ICT-based extension services: Evidence from a Choice Experiment in Nigeria," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277328, International Association of Agricultural Economists.
    10. Contu, Davide & Strazzera, Elisabetta, 2022. "Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy," Journal of choice modelling, Elsevier, vol. 44(C).
    11. Rebecca Owusu Coffie & Michael P. Burton & Fiona L. Gibson & Atakelty Hailu, 2016. "Choice of Rice Production Practices in Ghana: A Comparison of Willingness to Pay and Preference Space Estimates," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 799-819, September.
    12. Kyriakos Riskos & Paraskevi (Evi) Dekoulou & Naoum Mylonas & George Tsourvakas, 2021. "Ecolabels and the Attitude–Behavior Relationship towards Green Product Purchase: A Multiple Mediation Model," Sustainability, MDPI, vol. 13(12), pages 1-22, June.
    13. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2022. "The role of attribute non-attendance on consumer decision-making: Theoretical insights and empirical evidence," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 788-805.
    14. Eeva Alho, 2017. "Attention to Risk and Return: Choice Experiment of the Stated and Inferred Use of Investment Attributes," Applied Economics and Finance, Redfame publishing, vol. 4(1), pages 43-52, January.

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    More about this item

    Keywords

    Food Consumption/Nutrition/Food Safety; Productivity Analysis; Research and Development/Tech Change/Emerging Technologies;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco

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