IDEAS home Printed from https://ideas.repec.org/p/hal/pseptp/halshs-05031057.html

Anticipatory Anxiety and Wishful Thinking

Author

Listed:
  • Jan Engelmann

    (UvA - Universiteit van Amsterdam = University of Amsterdam)

  • Maël Lebreton

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Nahuel Salem-Garcia

    (UNIGE - Université de Genève = University of Geneva)

  • Peter Schwardmann

    (CMU - Carnegie Mellon University [Pittsburgh])

  • Joël van der Weele

    (UvA - Universiteit van Amsterdam = University of Amsterdam)

Abstract

Across five experiments (N = 1,714), we test whether people engage in wishful thinking to alleviate anxiety about adverse future outcomes. Participants perform pattern recognition tasks in which some patterns may result in an electric shock or a monetary loss. Diagnostic of wishful thinking, participants are less likely to correctly identify patterns that are associated with a shock or loss. Wishful thinking is more pronounced under more ambiguous signals and only reduced by higher accuracy incentives when participants' cognitive effort reduces ambiguity. Wishful thinking disappears in the domain of monetary gains, indicating that negative emotions are important drivers of the phenomenon.

Suggested Citation

  • Jan Engelmann & Maël Lebreton & Nahuel Salem-Garcia & Peter Schwardmann & Joël van der Weele, 2024. "Anticipatory Anxiety and Wishful Thinking," PSE-Ecole d'économie de Paris (Postprint) halshs-05031057, HAL.
    • Handle: RePEc:hal:pseptp:halshs-05031057
    DOI: 10.1257/aer.20191068
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pace, Davide D. & Imai, Taisuke & Schwardmann, Peter & van der Weele, Joël J., 2025. "Uncertainty about carbon impact and the willingness to avoid CO2 emissions," Ecological Economics, Elsevier, vol. 227(C).
    2. Le Yaouanq, Yves, 2023. "A model of voting with motivated beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 394-408.
    3. Grunewald, Andreas & Klockmann, Victor & von Schenk, Alicia & von Siemens, Ferdinand, 2024. "Are biases contagious? The influence of communication on motivated beliefs," W.E.P. - Würzburg Economic Papers 109, University of Würzburg, Department of Economics.
    4. Islam, Marco, 2021. "Motivated Risk Assessments," Working Papers 2021:12, Lund University, Department of Economics, revised 26 Jul 2022.
    5. Prati, Alberto & Saucet, Charlotte, 2024. "The causal effect of a health treatment on beliefs, stated preferences and memories," Journal of Health Economics, Elsevier, vol. 94(C).
    6. Felix Chopra & Ingar K. Haaland & Christopher Roth, 2019. "Do People Value More Informative News?," CESifo Working Paper Series 8026, CESifo.
    7. Luc Bridet & Peter Schwardmann, 2020. "Selling Dreams: Endogenous Optimism in Lending Markets," CESifo Working Paper Series 8271, CESifo.
    8. Schünemann, Johannes & Strulik, Holger & Trimborn, Timo, 2023. "Anticipation of deteriorating health and information avoidance," Journal of Health Economics, Elsevier, vol. 89(C).
    9. Dickinson, David L., 2024. "Deliberation, mood response, and the confirmation bias in the religious belief domain," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 109(C).
    10. Dessí, Roberta & Ren, Junjie & Zhao, Xiaojian, 2023. "Shame, Guilt, and Motivated Self-Confidence," CEPR Discussion Papers 18629, C.E.P.R. Discussion Papers.
    11. Karlan, Dean & Lowe, Matt & Osei, Robert & Osei-Akoto, Isaac & Roth, Benjamin N. & Udry, Christopher, 2022. "Social Protection and Social Distancing During the Pandemic: Mobile Money Transfers in Ghana," CEPR Discussion Papers 17510, C.E.P.R. Discussion Papers.
    12. Victor Augias & Daniel M. A. Barreto, 2020. "Persuading a Wishful Thinker," Papers 2011.13846, arXiv.org, revised Nov 2023.
    13. Bolte, Lukas & Fan, Tony Q., 2024. "Motivated mislearning: The case of correlation neglect," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 647-663.
    14. Charlotte Cordes & Jana Friedrichsen & Simeon Schudy, 2025. "Motivated Beliefs Under Delayed Uncertainty Resolution," CESifo Working Paper Series 12286, CESifo.
    15. Thomas Neuber, 2021. "Egocentric Norm Adoption," CRC TR 224 Discussion Paper Series crctr224_2021_323, University of Bonn and University of Mannheim, Germany.
    16. Alexander Coutts & Leonie Gerhards & Zahra Murad, 2024. "What to Blame? Self-Serving Attribution Bias with Multi-Dimensional Uncertainty," The Economic Journal, Royal Economic Society, vol. 134(661), pages 1835-1874.

    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:pseptp:halshs-05031057. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Caroline Bauer (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.