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Discriminating Between Models of Ambiguity Attitude: a Qualitative Test

Author

Listed:
  • Robin Cubitt
  • Gijs van de Kuilen
  • Sujoy Mukerji

Abstract

During recent decades, many new models have emerged in pure and applied economic theory according to which agents’ choices may be sensitive to ambiguity in the uncertainty that faces them. The exchange between Epstein (2010) and Klibanoff et al. (2012) identified a notable behavioral issue that distinguishes sharply between two classes of models of ambiguity sensitivity that are importantly different. The two classes are exemplified by the α-maxmin expected utility (MEU) model and the smooth ambiguity model, respectively; and the issue is whether or not a desire to hedge independently resolving ambiguities contributes to an ambiguity-averse agent's preference for a randomized act. Building on this insight, we implement an experiment whose design provides a qualitative test that discriminates between the two classes of models. Among subjects identified as ambiguity sensitive, we find greater support for the class exemplified by the smooth ambiguity model; the relative support is stronger among subjects identified as ambiguity averse. This finding has implications for applications that rely on specific models of ambiguity preference.

Suggested Citation

  • Robin Cubitt & Gijs van de Kuilen & Sujoy Mukerji, 2020. "Discriminating Between Models of Ambiguity Attitude: a Qualitative Test," Journal of the European Economic Association, European Economic Association, vol. 18(2), pages 708-749.
  • Handle: RePEc:oup:jeurec:v:18:y:2020:i:2:p:708-749.
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    File URL: http://hdl.handle.net/10.1093/jeea/jvz005
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    Cited by:

    1. Yiting Chen & Songfa Zhong, 2024. "Source Dependence in Effort Provision," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(3), pages 1499-1517, August.
    2. Klibanoff, Peter & Mukerji, Sujoy & Seo, Kyoungwon & Stanca, Lorenzo, 2022. "Foundations of ambiguity models under symmetry: α-MEU and smooth ambiguity," Journal of Economic Theory, Elsevier, vol. 199(C).
    3. Gertsman, Gleb, 2023. "Behavioral preferences and beliefs in asset pricing," Other publications TiSEM c7196596-1bf8-47c9-a147-6, Tilburg University, School of Economics and Management.
    4. Soo Hong Chew & Bin Miao & Songfa Zhong, 2023. "Ellsberg meets Keynes at an urn," Quantitative Economics, Econometric Society, vol. 14(3), pages 1133-1162, July.
    5. Watanabe, Masahide & Fujimi, Toshio, 2022. "Ambiguity of scientific probability predictions and willingness-to-pay for climate change mitigation policies," Research in Economics, Elsevier, vol. 76(4), pages 386-402.
    6. Claudio A. Bonilla & Pablo A. Gutiérrez Cubillos, 2021. "The effects of ambiguity on entrepreneurship," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(1), pages 63-80, February.
    7. Konstantinos Georgalos, 2019. "An experimental test of the predictive power of dynamic ambiguity models," Journal of Risk and Uncertainty, Springer, vol. 59(1), pages 51-83, August.
    8. Sujoy Mukerji & Han N. Ozsoylev & Jean‐Marc Tallon, 2023. "Trading Ambiguity: A Tale Of Two Heterogeneities," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1127-1164, August.
    9. Li, Jiangyan & Fairley, Kim & Fenneman, Achiel, 2024. "Does it matter how we produce ambiguity in experiments?," MPRA Paper 122336, University Library of Munich, Germany.
    10. Claudia Ravanelli & Gregor Svindland, 2019. "Ambiguity sensitive preferences in Ellsberg frameworks," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 67(1), pages 53-89, February.
    11. Sumru Altug & Cem Cakmakli & Fabrice Collard & Sujoy Mukerji & Han Ozsoylev, 2020. "Ambiguous Business Cycles: A Quantitative Assessment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 38, pages 220-237, October.
    12. Mohammed Abdellaoui & Horst Zank, 2022. "Source and Rank-dependent Utility," Post-Print hal-03924295, HAL.
    13. Jianying Qiu & Utz Weitzel, 2016. "Experimental evidence on valuation with multiple priors," Journal of Risk and Uncertainty, Springer, vol. 53(1), pages 55-74, August.
    14. Arthur E. Attema & Han Bleichrodt & Olivier L'Haridon, 2018. "Ambiguity preferences for health," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1699-1716, November.
    15. Mohammed Abdellaoui & Horst Zank, 2023. "Source and rank-dependent utility," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 75(4), pages 949-981, May.
    16. Roxane Bricet, 2018. "Preferences for information precision under ambiguity," Thema Working Papers 2018-09, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS.
    17. Sara Arts & Qiyan Ong & Jianying Qiu, 2024. "Measuring decision confidence," Experimental Economics, Springer;Economic Science Association, vol. 27(3), pages 582-603, July.
    18. Robin Cubitt & Gijs Kuilen & Sujoy Mukerji, 2018. "The strength of sensitivity to ambiguity," Theory and Decision, Springer, vol. 85(3), pages 275-302, October.

    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles

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