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Information and visual attention in contingent valuation and choice modeling: field and eye-tracking experiments applied to reforestations in Spain

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  • Oviedo, José L.
  • Caparrós, Alejandro

Abstract

We test convergent validity of contingent valuation and choice modeling with field and eye-tracker data in an application for stone pine reforestations. Field results yield significantly different structural models and higher willingness to pay values in choice modeling. Eye-tracker results show that respondents devote relatively more time to attributes and the bid in choice modeling and that there are no significant differences in the total time used to answer. Divergences remain for modified formats that minimize visual and cognitive differences between methods. Using an attribute-stimulus format in contingent valuation or including dominant alternatives in choice modeling does not change results.

Suggested Citation

  • Oviedo, José L. & Caparrós, Alejandro, 2015. "Information and visual attention in contingent valuation and choice modeling: field and eye-tracking experiments applied to reforestations in Spain," Journal of Forest Economics, Elsevier, vol. 21(4), pages 185-204.
    • Handle: RePEc:eee:foreco:v:21:y:2015:i:4:p:185-204
    DOI: 10.1016/j.jfe.2015.09.002
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    Cited by:

    1. Oviedo, José L. & Caparrós, Alejandro & Ruiz-Gauna, Itziar & Campos, Pablo, 2016. "Testing convergent validity in choice experiments: Application to public recreation in Spanish stone pine and cork oak forests," Journal of Forest Economics, Elsevier, vol. 25(C), pages 130-148.
    2. Patrick Lloyd-Smith & Ewa Zawojska & Wiktor Adamowicz, 2020. "Moving beyond the Contingent Valuation versus Choice Experiment Debate: Presentation Effects in Stated Preference," Land Economics, University of Wisconsin Press, vol. 96(1), pages 1-24.
    3. Balcombe, Kelvin & Fraser, Iain & Williams, Louis & McSorley, Eugene, 2017. "Examining the relationship between visual attention and stated preferences: A discrete choice experiment using eye-tracking," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 238-257.
    4. Zhang, Xumin & Khachatryan, Hayk & Gao, Zhifeng, 2020. "Using Mixed Logit Based Models to Control Attribute Nonattendance in Choice Experiments," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304547, Agricultural and Applied Economics Association.
    5. Uggeldahl, Kennet & Jacobsen, Catrine & Lundhede, Thomas Hedemark & Olsen, Søren Bøye, 2016. "Choice certainty in Discrete Choice Experiments: Will eye tracking provide useful measures?," Journal of choice modelling, Elsevier, vol. 20(C), pages 35-48.
    6. Cerdá, Emilio & López-Otero, Xiral & Quiroga, Sonia & Soliño, Mario, 2024. "Willingness to pay for renewables: Insights from a meta-analysis of choice experiments," Energy Economics, Elsevier, vol. 130(C).

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    More about this item

    Keywords

    Stone pine; Stated preferences; Elicitation formats; Information processing; Visual attention;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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