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Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates

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  • Campbell, Danny
  • Hutchinson, W. George
  • Scarpa, Riccardo

Abstract

In discrete choice experiments respondents are generally assumed to consider all of the attributes across each of the alternatives, and to choose their most preferred. However, results in this paper indicate that many respondents employ simplified lexicographic decision-making rules, whereby they have a ranking of the attributes, but their choice of an alternative is based solely on the level of their most important attribute(s). Not accounting for these simple decision-making heuristics introduces systemic errors and leads to biased point estimates, as they are a violation of the continuity axiom and a departure from the use of compensatory decision-making. In this paper the implications of lexicographic preferences are examined. In particular, using a mixed logit specification this paper investigates the sensitivity of individual-specific willingness to pay (WTP) estimates conditional on whether lexicographic decision-making rules are accounted for in the modelling of discrete choice responses. Empirical results are obtained from a discrete choice experiment that was carried out to address the value of a number of rural landscape attributes in Ireland.

Suggested Citation

  • Campbell, Danny & Hutchinson, W. George & Scarpa, Riccardo, 2006. "Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates," Sustainability Indicators and Environmental Valuation Working Papers 12224, Fondazione Eni Enrico Mattei (FEEM).
  • Handle: RePEc:ags:feemsi:12224
    DOI: 10.22004/ag.econ.12224
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    4. Wongprawmas, Rungsaran & Canavari, Maurizio, 2017. "Consumers’ willingness-to-pay for food safety labels in an emerging market: The case of fresh produce in Thailand," Food Policy, Elsevier, vol. 69(C), pages 25-34.
    5. Christoph, Inken B. & Peter, Guenter & Rothe, Andrea & Salamon, Petra & Weber, Sascha A. & Weible, Daniela, 2011. "School Milk Consumption in Germany - What are Important Product Attributes for Children and Parents?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114294, European Association of Agricultural Economists.
    6. Meenakshi, J. V. & Banerji, A. & Manyong, Victor & Tomlins, Keith & Hamukwala, Priscilla & Zulu, Rodah & Mungoma, Catherine, 2010. "Consumer acceptance of provitamin A orange maize in rural Zambia:," HarvestPlus working papers 4, International Food Policy Research Institute (IFPRI).
    7. Pavel CIAIAN & Sergio GOMEZ y PALOMA, 2011. "The Value of EU Agricultural Landscape," JRC Research Reports JRC65456, Joint Research Centre.
    8. Moser, Riccarda & Raffaelli, Roberta & Thilmany, Dawn D., 2011. "Consumer Preferences for Fruit and Vegetables with Credence-Based Attributes: A Review," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 14(2), pages 1-22, May.
    9. Pavel Ciaian & Sergio Gomez y Paloma, 2011. "Valuation of EU Agricultural Landscape," EERI Research Paper Series EERI_RP_2011_20, Economics and Econometrics Research Institute (EERI), Brussels.
    10. Ariane Kehlbacher & Kelvin Balcombe & Richard Bennett, 2013. "Stated Attribute Non-attendance in Successive Choice Experiments," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(3), pages 693-706, September.
    11. Galassi, Veronica & Madlener, Reinhard, 2014. "Identifying Business Models for Photovoltaic Systems with Storage in the Italian Market: A Discrete Choice Experiment," FCN Working Papers 19/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    12. Ivan Sever & Miroslav Verbič & Eva Klaric Sever, 2020. "Estimating Attribute-Specific Willingness-to-Pay Values from a Health Care Contingent Valuation Study: A Best–Worst Choice Approach," Applied Health Economics and Health Policy, Springer, vol. 18(1), pages 97-107, February.
    13. Fredrik Carlsson & Mitesh Kataria & Elina Lampi, 2010. "Dealing with Ignored Attributes in Choice Experiments on Valuation of Sweden’s Environmental Quality Objectives," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(1), pages 65-89, September.
    14. Banerji, A. & Chowdhury, Shyamal K. & de Groote, Hugo & Meenakshi, Jonnalagadda V. & Haleegoah, Joyce & Ewoo, Manfred, 2013. "Using elicitation mechanisms to estimate the demand for nutritious maize: Evidence from experiments in rural Ghana," HarvestPlus working papers 10, International Food Policy Research Institute (IFPRI).
    15. Meenakshi, J.V. & Banerji, A. & Manyong, Victor & Tomlins, Keith & Mittal, Nitya & Hamukwala, Priscilla, 2012. "Using a discrete choice experiment to elicit the demand for a nutritious food: Willingness-to-pay for orange maize in rural Zambia," Journal of Health Economics, Elsevier, vol. 31(1), pages 62-71.
    16. Rambonilaza, Tina, 2005. "Land-use planning and public preferences: What can we learn from choice experiments method?," MPRA Paper 9225, University Library of Munich, Germany, revised May 2007.
    17. Nesha Beharry-Borg & Riccardo Scarpa, 2010. "Researcher-Selected versus Respondent-Selected Attributes: Improved Coastal Water Quality in Tobago," Chapters, in: Jeff Bennett & Ekin Birol (ed.), Choice Experiments in Developing Countries, chapter 5, Edward Elgar Publishing.
    18. Kwak, So-Yoon & Yoo, Seung-Hoon & Kwak, Seung-Jun, 2010. "Valuing energy-saving measures in residential buildings: A choice experiment study," Energy Policy, Elsevier, vol. 38(1), pages 673-677, January.
    19. Feyaerts, Hendrik & Maertens, Miet, 2021. "The Market for Onions or Lemons? Import Substitution and Consumer Preferences in Senegal," 2021 Conference, August 17-31, 2021, Virtual 315170, International Association of Agricultural Economists.
    20. Rulleau, Bénédicte & Dachary-Bernard, Jeanne, 2012. "Preferences, rational choices and economic valuation: Some empirical tests," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(2), pages 198-206.

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    Keywords

    Environmental Economics and Policy; Resource /Energy Economics and Policy;

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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