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Ambiguity attitudes toward natural and artificial sources in gain and loss domains

Author

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  • Masahide Watanabe

    (Ryukoku University)

  • Toshio Fujimi

    (Kyoto University)

Abstract

In this study, we compare ambiguity attitudes—ambiguity aversion and ambiguity-generated insensitivity (a-insensitivity)—toward natural and artificial sources of ambiguity in gain and loss domains with the participation of individuals with various attributes. In our experiment, we use precipitation during the rainy season as a natural source of ambiguity and the Ellsberg-type box as an artificial source. We find that people are more a-insensitive toward the natural source than the artificial source, even though the outcomes are identical. Additionally, people with low cognitive reflection ability are more a-insensitive than those with high cognitive reflection ability. Thus, people with low cognitive reflection ability have more difficulty in identifying likelihood under ambiguity and tend to view the likelihood of all uncertain events to be equal. Furthermore, we examine the relationships between ambiguity attitudes and real-world behaviors with regard to flood preparedness. In the group with high cognitive reflection ability, people with higher a-insensitivity are less likely to adopt flood preparedness behaviors in the gain domain of the natural source. However, we do not find any relationship between ambiguity attitudes and flood preparedness behaviors in the artificial source. Thus, applying ambiguity attitudes toward natural sources is worth considering when explaining real-world behaviors based on ambiguity attitudes.

Suggested Citation

  • Masahide Watanabe & Toshio Fujimi, 2024. "Ambiguity attitudes toward natural and artificial sources in gain and loss domains," Journal of Risk and Uncertainty, Springer, vol. 68(1), pages 51-75, February.
  • Handle: RePEc:kap:jrisku:v:68:y:2024:i:1:d:10.1007_s11166-023-09420-4
    DOI: 10.1007/s11166-023-09420-4
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    1. Mohammed Abdellaoui & Aurelien Baillon & Laetitia Placido & Peter P. Wakker, 2011. "The Rich Domain of Uncertainty: Source Functions and Their Experimental Implementation," American Economic Review, American Economic Association, vol. 101(2), pages 695-723, April.
    2. Matthias Sutter & Martin G. Kocher & Daniela Glätzle-Rützler & Stefan T. Trautmann, 2013. "Impatience and Uncertainty: Experimental Decisions Predict Adolescents' Field Behavior," American Economic Review, American Economic Association, vol. 103(1), pages 510-531, February.
    3. Gary Charness & Nir Chemaya & Dario Trujano-Ochoa, 2023. "Learning your own risk preferences," Journal of Risk and Uncertainty, Springer, vol. 67(1), pages 1-19, August.
    4. Aurélien Baillon & Han Bleichrodt & Umut Keskin & Olivier l’Haridon & Chen Li, 2018. "The Effect of Learning on Ambiguity Attitudes," Management Science, INFORMS, vol. 64(5), pages 2181-2198, May.
    5. Olivier l’Haridon & Ferdinand M. Vieider & Diego Aycinena & Agustinus Bandur & Alexis Belianin & Lubomír Cingl & Amit Kothiyal & Peter Martinsson, 2018. "Off the Charts: Massive Unexplained Heterogeneity in a Global Study of Ambiguity Attitudes," The Review of Economics and Statistics, MIT Press, vol. 100(4), pages 664-677, October.
    6. Christos A. Ioannou & Jana Sadeh, 2016. "Time preferences and risk aversion: Tests on domain differences," Journal of Risk and Uncertainty, Springer, vol. 53(1), pages 29-54, August.
    7. Oechssler, Jörg & Roider, Andreas & Schmitz, Patrick W., 2009. "Cognitive abilities and behavioral biases," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 147-152, October.
    8. Nathalie Etchart-Vincent & Olivier l’Haridon, 2011. "Monetary incentives in the loss domain and behavior toward risk: An experimental comparison of three reward schemes including real losses," Journal of Risk and Uncertainty, Springer, vol. 42(1), pages 61-83, February.
    9. Zhihua Li & Julia Müller & Peter P. Wakker & Tong V. Wang, 2018. "The Rich Domain of Ambiguity Explored," Management Science, INFORMS, vol. 64(7), pages 3227-3240, July.
    10. Chen Li, 2017. "Are the poor worse at dealing with ambiguity?," Journal of Risk and Uncertainty, Springer, vol. 54(3), pages 239-268, June.
    11. Kocher, Martin G. & Lahno, Amrei Marie & Trautmann, Stefan T., 2018. "Ambiguity aversion is not universal," European Economic Review, Elsevier, vol. 101(C), pages 268-283.
    12. David Bradford & Charles Courtemanche & Garth Heutel & Patrick McAlvanah & Christopher Ruhm, 2017. "Time preferences and consumer behavior," Journal of Risk and Uncertainty, Springer, vol. 55(2), pages 119-145, December.
    13. Syngjoo Choi & Jeongbin Kim & Eungik Lee & Jungmin Lee, 2022. "Probability Weighting and Cognitive Ability," Management Science, INFORMS, vol. 68(7), pages 5201-5215, July.
    14. Baillon, Aurélien & Bleichrodt, Han & Li, Chen & Wakker, Peter P., 2021. "Belief hedges: Measuring ambiguity for all events and all models," Journal of Economic Theory, Elsevier, vol. 198(C).
    15. Aurélien Baillon & Zhenxing Huang & Asli Selim & Peter P. Wakker, 2018. "Measuring Ambiguity Attitudes for All (Natural) Events," Econometrica, Econometric Society, vol. 86(5), pages 1839-1858, September.
    16. Aurélien Baillon & Han Bleichrodt, 2015. "Testing Ambiguity Models through the Measurement of Probabilities for Gains and Losses," American Economic Journal: Microeconomics, American Economic Association, vol. 7(2), pages 77-100, May.
    17. Stephen G. Dimmock & Roy Kouwenberg & Peter P. Wakker, 2016. "Ambiguity Attitudes in a Large Representative Sample," Management Science, INFORMS, vol. 62(5), pages 1363-1380, May.
    18. Thomas Meissner & Xavier Gassmann & Corinne Faure & Joachim Schleich, 2023. "Individual characteristics associated with risk and time preferences: A multi country representative survey," Journal of Risk and Uncertainty, Springer, vol. 66(1), pages 77-107, February.
    19. Dimmock, Stephen G. & Kouwenberg, Roy & Mitchell, Olivia S. & Peijnenburg, Kim, 2016. "Ambiguity aversion and household portfolio choice puzzles: Empirical evidence," Journal of Financial Economics, Elsevier, vol. 119(3), pages 559-577.
    20. Shane Frederick, 2005. "Cognitive Reflection and Decision Making," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 25-42, Fall.
    21. Stephen Dimmock & Roy Kouwenberg & Olivia Mitchell & Kim Peijnenburg, 2015. "Estimating ambiguity preferences and perceptions in multiple prior models: Evidence from the field," Journal of Risk and Uncertainty, Springer, vol. 51(3), pages 219-244, December.
    22. Aurélien Baillon & Laure Cabantous & Peter Wakker, 2012. "Aggregating imprecise or conflicting beliefs: An experimental investigation using modern ambiguity theories," Journal of Risk and Uncertainty, Springer, vol. 44(2), pages 115-147, April.
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    More about this item

    Keywords

    Ambiguity attitudes; A-insensitivity; Natural source of ambiguity; Artificial source of ambiguity;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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