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Does respondent uncertainty explain framing effects in double bounded contingent valuation?

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  • 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)

  • Verity Watson

    (Health Economics Research Unit - University of Aberdeen)

Abstract

Many stated preference studies have reported framing effects in responses to valuation questions. This occurs when respondents use irrelevant information contained in a question to help them value the good. We investigate if respondent uncertainty can explain two commonly observed framing effects in contingent valuation studies. Specifically using a double bounded dichotomous choice elicitation format, we investigate anchoring (or starting-point bias) and the shift effect, which may indicate if the method is incentive compatible. Respondent uncertainty is measured using a follow up question that asks respondents their certainty about their valuation. We ?nd evidence that the anchoring effect is stronger for respondents expressing uncertainty about their valuation compared to respondents expressing certainty. The shift effect is significant and negative only for respondents expressing certainty. Our findings suggest that anchoring can be reduced if respondents are certain of their valuation, and that iterative elicitation formats are not incentive compatible.

Suggested Citation

  • Stephane Luchini & Verity Watson, 2008. "Does respondent uncertainty explain framing effects in double bounded contingent valuation?," Working Papers halshs-00285861, HAL.
    • Handle: RePEc:hal:wpaper:halshs-00285861
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00285861
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    2. Ciccarone Giuseppe & Giuli Francesco & Marchetti Enrico, 2020. "Prospect Theory and sentiment-driven fluctuations," The B.E. Journal of Macroeconomics, De Gruyter, vol. 20(1), pages 1-25, January.
    3. Domenico Piccolo & Rosaria Simone, 2019. "The class of cub models: statistical foundations, inferential issues and empirical evidence," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(3), pages 389-435, September.
    4. Pierre-Alexandre Mahieu & Romain Craste & Bengt Kriström & Pere Riera, 2014. "Non-market valuation in France: An overview of the research activity," Working Papers hal-01087365, HAL.
    5. Nicolas Jacquemet & Alexander James & Stéphane Luchini & Jason F. Shogren, 2017. "Referenda Under Oath," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(3), pages 479-504, July.
    6. Iannario, Maria & Manisera, Marica & Zuccolotto, Paola, 2015. "The treatment of don't know responses in the consumers' perceptions: a survey in the agri-food sector," 143rd Joint EAAE/AAEA Seminar, March 25-27, 2015, Naples, Italy 202704, European Association of Agricultural Economists.
    7. Nicolas Jacquemet & Robert-Vincent Joule & Stéphane Luchini & Antoine Malézieux, 2016. "Engagement et incitations : comportements économiques sous serment," L'Actualité Economique, Société Canadienne de Science Economique, vol. 92(1-2), pages 315-349.
    8. Voltaire, Louinord & Donfouet, Hermann Pythagore Pierre & Pirrone, Claudio & Larzillière, Agathe, 2017. "Respondent Uncertainty and Ordering Effect on Willingness to Pay for Salt Marsh Conservation in the Brest Roadstead (France)," Ecological Economics, Elsevier, vol. 137(C), pages 47-55.
    9. Zhihua Li & Kirsten I. M. Rohde & Peter P. Wakker, 2017. "Improving one’s choices by putting oneself in others’ shoes – An experimental analysis," Journal of Risk and Uncertainty, Springer, vol. 54(1), pages 1-13, February.

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    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D60 - Microeconomics - - Welfare Economics - - - General

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