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When do social cues and scientific information affect stated preferences? Insights from an experiment on air pollution

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  • Dominique Ami

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique, AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Frédéric Aprahamian

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique, AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Olivier Chanel

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique, AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Stephane Luchini

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique, AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

Stated preference surveys are usually carried out in one session, without any follow-up interview after respondents have had the opportunity to experience the public goods or policies they were asked to value. Consequently, a stated preference survey needs to be designed so as to provide respondents with all the relevant information, and to help them process this information so they can perform the valuation exercise properly. In this paper, we study experimentally an elicitation procedure in which respondents are provided with a sequence of different types of information (social cues and objective information) that allows them to sequentially revise their willingness-to-pay (WTP) values. Our experiment was carried out in large groups using an electronic voting system which allows us to construct social cues in real time. To analyse the data, we developed an anchoring-type structural model that allows us to estimate the direct effect (at the current round) and the indirect effect (on subsequent rounds) of information. Our results shed new light on the interacted effect of social cues and objective information: social cues have little or no direct effect on WTP values but they have a strong indirect effect on how respondents process scientific information. Social cues have the most noticeable effect on respondents who initially report a WTP below the group average but only after receiving additional objective information about the valuation task. We suggest that the construction and the provision of social cues should be added to the list of tools and controls for stated preference methods.

Suggested Citation

  • Dominique Ami & Frédéric Aprahamian & Olivier Chanel & Stephane Luchini, 2018. "When do social cues and scientific information affect stated preferences? Insights from an experiment on air pollution," Post-Print hal-01897065, HAL.
  • Handle: RePEc:hal:journl:hal-01897065
    DOI: 10.1016/j.jocm.2018.09.001
    Note: View the original document on HAL open archive server: https://amu.hal.science/hal-01897065
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    1. Stefani, Gianluca & Scarpa, Riccardo & Lombardi, Ginevra V., 2014. "An addendum to: a meta-analysis of hypothethical bias in stated preference valuation," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(2), pages 1-10, August.
    2. Christian A. Vossler & Maurice Doyon & Daniel Rondeau, 2012. "Truth in Consequentiality: Theory and Field Evidence on Discrete Choice Experiments," American Economic Journal: Microeconomics, American Economic Association, vol. 4(4), pages 145-171, November.
    3. Lisa A. Robinson & James K. Hammitt, 2011. "Behavioral Economics and Regulatory Analysis," Risk Analysis, John Wiley & Sons, vol. 31(9), pages 1408-1422, September.
    4. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, March.
    5. Helen Arce Salazar & Leon Oerlemans, 2016. "Do We Follow the Leader or the Masses? Antecedents of the Willingness to Pay Extra for Eco-Products," Journal of Consumer Affairs, Wiley Blackwell, vol. 50(2), pages 286-314, July.
    6. Shogren, Jason F. & Thunström, Linda, 2016. "Do We Need a New Behavioral Benchmark for BCA?1," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 7(1), pages 92-106, April.
    7. repec:ebl:ecbull:v:3:y:2004:i:6:p:1-13 is not listed on IDEAS
    8. Nicolas Jacquemet & Alexander James & Stéphane Luchini & Jason Shogren, 2011. "Social Psychology and Environmental Economics: A New Look at ex ante Corrections of Biased Preference Evaluation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(3), pages 413-433, March.
    9. Herriges, Joseph A. & Shogren, Jason F., 1996. "Starting Point Bias in Dichotomous Choice Valuation with Follow-Up Questioning," Journal of Environmental Economics and Management, Elsevier, vol. 30(1), pages 112-131, January.
    10. Ami, Dominique & Aprahamian, Frédéric & Chanel, Olivier & Joulé, Robert-Vincent & Luchini, Stéphane, 2014. "Willingness to pay of committed citizens: A field experiment," Ecological Economics, Elsevier, vol. 105(C), pages 31-39.
    11. List John A. & Sinha Paramita & Taylor Michael H., 2006. "Using Choice Experiments to Value Non-Market Goods and Services: Evidence from Field Experiments," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(2), pages 1-39, January.
    12. Aprahamian, Frederic & Chanel, Olivier & Luchini, Stephane, 2007. "AJAE Appendix: Modeling Starting Point Bias as Unobserved Heterogeneity in Contingent Valuation Surveys: An Application to Air Pollution," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 89(2), pages 1-5, May.
    13. Yatchew, Adonis & Griliches, Zvi, 1985. "Specification Error in Probit Models," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 134-139, February.
    14. Olivier Chanel & Susan Cleary & Stéphane Luchini, 2007. "Individual Responsiveness to Information in CV Surveys : Commitment Matters," Revue d'économie politique, Dalloz, vol. 117(5), pages 761-779.
    15. John C. Whitehead, 2002. "Incentive Incompatibility and Starting-Point Bias in Iterative Valuation Questions," Land Economics, University of Wisconsin Press, vol. 78(2), pages 285-297.
    16. Dominique Ami & Frédéric Aprahamian & Olivier Chanel & Stéphane Luchini, 2011. "A Test of Cheap Talk in Different Hypothetical Contexts: The Case of Air Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 111-130, September.
    17. Chanel, Olivier & Luchini, Stéphane & Massoni, Sébastien & Vergnaud, Jean-Christophe, 2011. "Impact of information on intentions to vaccinate in a potential epidemic: Swine-origin Influenza A (H1N1)," Social Science & Medicine, Elsevier, vol. 72(2), pages 142-148, January.
    18. Raj Chetty, 2015. "Behavioral Economics and Public Policy: A Pragmatic Perspective," American Economic Review, American Economic Association, vol. 105(5), pages 1-33, May.
    19. Mikołaj Czajkowski & Nick Hanley & Jacob LaRiviere, 2016. "Controlling for the Effects of Information in a Public Goods Discrete Choice Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(3), pages 523-544, March.
    20. Olivier Chanel & Susan Cleary & Stephane Luchini, 2006. "Does public opinion influence willingness-to-pay? Evidence from the field," Applied Economics Letters, Taylor & Francis Journals, vol. 13(13), pages 821-824.
    21. Dražen Prelec & H. Sebastian Seung & John McCoy, 2017. "A solution to the single-question crowd wisdom problem," Nature, Nature, vol. 541(7638), pages 532-535, January.
    22. Krupnick, Alan & Alberini, Anna & Cropper, Maureen & Simon, Nathalie & O'Brien, Bernie & Goeree, Ron & Heintzelman, Martin, 2002. "Age, Health and the Willingness to Pay for Mortality Risk Reductions: A Contingent Valuation Survey of Ontario Residents," Journal of Risk and Uncertainty, Springer, vol. 24(2), pages 161-186, March.
    23. Jagadish Guria & Joanne Leung & Michael Jones-Lee & Graham Loomes, 2005. "The Willingness to Accept Value of Statistical Life Relative to the Willingness to Pay Value: Evidence and Policy Implications," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(1), pages 113-127, September.
    24. Mikolaj Czajkowski & Nick Hanley & Jacob LaRiviere, 2015. "The Effects of Experience on Preferences: Theory and Empirics for Environmental Public Goods," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(1), pages 333-351.
    25. Joseph Little & Robert Berrens, 2004. "Explaining Disparities between Actual and Hypothetical Stated Values: Further Investigation Using Meta-Analysis," Economics Bulletin, AccessEcon, vol. 3(6), pages 1-13.
    26. Spash, Clive L., 2002. "Informing and forming preferences in environmental valuation: Coral reef biodiversity," Journal of Economic Psychology, Elsevier, vol. 23(5), pages 665-687, October.
    27. Andreoni, James, 1988. "Why free ride? : Strategies and learning in public goods experiments," Journal of Public Economics, Elsevier, vol. 37(3), pages 291-304, December.
    28. John C. Bergstrom & John R. Stoll & Alan Randall, 1990. "The Impact of Information on Environmental Commodity Valuation Decisions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 614-621.
    29. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    30. Alberini, Anna & Cropper, Maureen & Krupnick, Alan & Simon, N.B.Nathalie B., 2004. "Does the value of a statistical life vary with age and health status? Evidence from the US and Canada," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 769-792, July.
    31. Alvarez-Farizo, Begona & Hanley, Nick & Barberan, Ramon & Lazaro, Angelina, 2007. "Choice modeling at the "market stall": Individual versus collective interest in environmental valuation," Ecological Economics, Elsevier, vol. 60(4), pages 743-751, February.
    32. Johannes Lohse & Timo Goeschl & Johannes H. Diederich, 2017. "Giving is a Question of Time: Response Times and Contributions to an Environmental Public Good," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(3), pages 455-477, July.
    33. Rowe, Robert D. & D'Arge, Ralph C. & Brookshire, David S., 1980. "An experiment on the economic value of visibility," Journal of Environmental Economics and Management, Elsevier, vol. 7(1), pages 1-19, March.
    34. Fredrik Carlsson, 2010. "Design of Stated Preference Surveys: Is There More to Learn from Behavioral Economics?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 46(2), pages 167-177, June.
    35. Atsushi Maruyama & Masao Kikuchi, 2004. "Risk-learning process in forming willingness-to-pay for egg safety," Agribusiness, John Wiley & Sons, Ltd., vol. 20(2), pages 167-179.
    36. Olivier Chanel & Stéphane Luchini, 2007. "Modeling Starting Point Bias as Unobserved Heterogeneity in Contingent Valuation Surveys: An Application to Air Pollution," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 533-547.
    37. Marc Fleurbaey & Erik Schokkaert, 2013. "Behavioral Welfare Economics and Redistribution," American Economic Journal: Microeconomics, American Economic Association, vol. 5(3), pages 180-205, August.
    38. Brigitte Desaigues & Ari Rabl & Dominique Ami & Kene Boun My & Serge Masson & Marie-Anne Salomon & Laure Santoni, 2007. "Monetary Value of a Life Expectancy Gain due to Reduced Air Pollution : Lessons from a Contingent Valuation in France," Revue d'économie politique, Dalloz, vol. 117(5), pages 675-698.
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    2. Sy, Mariam Maki & Rey-Valette, Hélène & Figuières, Charles & Simier, Monique & De Wit, Rutger, 2021. "The impact of academic information supply and familiarity on preferences for ecosystem services," Ecological Economics, Elsevier, vol. 183(C).
    3. Toly Chen, 2021. "A diversified AHP-tree approach for multiple-criteria supplier selection," Computational Management Science, Springer, vol. 18(4), pages 431-453, October.

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    • D6 - Microeconomics - - Welfare Economics
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments

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