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How can behavioral economics inform non-market valuation? An example from the preference reversal literature

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  • Vic Adamowicz
  • Jonathan Alevy
  • John List

Abstract

Psychological insights have made inroads within most major areas of study in economics. One area where less advance has been made is environmental and resource economics. In this study, we examine the implications of preference reversals over evaluation modes, in which stated economic values critically depend on whether the good is valued jointly with others or in isolation. The question arises because two commonly used methods for eliciting stated preferences differ in that one presents objects together and another presents objects to be evaluated in isolation. Beyond showing an example of the import of behavioral economics, our empirical evidence sheds new light on the factors associated with insensitivity of valuations to the scope of the good

Suggested Citation

  • Vic Adamowicz & Jonathan Alevy & John List, 2010. "How can behavioral economics inform non-market valuation? An example from the preference reversal literature," Artefactual Field Experiments 00002, The Field Experiments Website.
  • Handle: RePEc:feb:artefa:00002
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    References listed on IDEAS

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    Cited by:

    1. Schläpfer, Felix & Getzner, Michael, 2020. "Beyond Current Guidelines: A Proposal for Bringing Behavioral Economics to the Design and Analysis of Stated Preference Surveys," Ecological Economics, Elsevier, vol. 176(C).
    2. Satakhun Kosavinta & Donyaprueth Krairit & Do Ba Khang, 2017. "Decision making in the pre-development stage of residential development," Journal of Property Investment & Finance, Emerald Group Publishing, vol. 35(2), pages 160-183, March.
    3. Ana Faria Lopes & Gorm Kipperberg, 2020. "Diagnosing Insensitivity to Scope in Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(1), pages 191-216, September.
    4. John List, 2022. "2021 Summary Data of Natural Field Experiments Published on Fieldexperiments.com," Natural Field Experiments 00747, The Field Experiments Website.
    5. 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.
    6. José Luis Pinto‐Prades & José Antonio Robles‐Zurita & Fernando‐Ignacio Sánchez‐Martínez & José María Abellán‐Perpiñán & Jorge Martínez‐Pérez, 2017. "Improving scope sensitivity in contingent valuation: Joint and separate evaluation of health states," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 304-318, December.
    7. Stachtiaris, Spiros & Drichoutis, Andreas C. & Klonaris, Stathis, 2011. "The "more is less" phenomenon in Contingent and Inferred valuation," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 116013, European Association of Agricultural Economists.
    8. 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.
    9. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    10. John List, 2021. "2021 Summary Data of Artefactual Field Experiments Published on Fieldexperiments.com," Artefactual Field Experiments 00749, The Field Experiments Website.
    11. John List, 2022. "Framed Field Experiments: 2021 Summary on Fieldexperiments.com," Framed Field Experiments 00752, The Field Experiments Website.

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    More about this item

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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