IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/28376.html
   My bibliography  Save this paper

Information Avoidance and Image Concerns

Author

Listed:
  • Christine L. Exley
  • Judd B. Kessler

Abstract

A rich literature finds that individuals avoid information, even information that is instrumental to their choices. A common hypothesis posits that individuals strategically avoid information to hold particular beliefs or to take certain actions—such as behaving selfishly—with lower image costs. Building off of the classic “moral wiggle room” design, this paper provides the first direct test of whether individuals avoid information because of image concerns. We do so by introducing a control condition that makes minimal changes to eliminate the role of image concerns while keeping other key features of the decision environment unchanged. We analyze data from 4,626 experimental subjects. We find that image concerns play a role in driving information avoidance, but a role that is substantially smaller—less than half of the magnitude—than the common approach in the literature would suggest.

Suggested Citation

  • Christine L. Exley & Judd B. Kessler, 2021. "Information Avoidance and Image Concerns," NBER Working Papers 28376, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28376
    Note: PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w28376.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Jeanne Hagenbach & Rachel Kranton, 2023. "Competition, Cooperation, and Motivated Social Perceptions," SciencePo Working papers Main hal-03792554, HAL.
    2. Momsen, Katharina & Ohndorf, Markus, 2022. "Information avoidance, selective exposure, and fake (?) news: Theory and experimental evidence on green consumption," Journal of Economic Psychology, Elsevier, vol. 88(C).
    3. Fabian Bopp, 2023. "An Experiment on Dilemma Aversion and Information Avoidance," Working Papers Dissertations 111, Paderborn University, Faculty of Business Administration and Economics.
    4. Bartling, Björn & Özdemir, Yagiz, 2023. "The limits to moral erosion in markets: Social norms and the replacement excuse," Games and Economic Behavior, Elsevier, vol. 138(C), pages 143-160.
    5. Jeanne Hagenbach & Charlotte Saucet, 2024. "Motivated Skepticism," Working Papers hal-03770685, HAL.
    6. Jeanne Hagenbach & Charlotte Saucet, 2024. "Motivated Skepticism," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03770685, HAL.
    7. Katharina Momsen & Sebastian O. Schneider, 2022. "Motivated Reasoning, Information Avoidance, and Default Bias," Working Papers 2022-05, Faculty of Economics and Statistics, Universität Innsbruck.
    8. Momsen, Katharina & Ohndorf, Markus, 2023. "Information avoidance: Self-image concerns, inattention, and ideology," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 386-400.
    9. Reisch, Lucia A. & Sunstein, Cass R. & Kaiser, Micha, 2021. "What do people want to know? Information avoidance and food policy implications," Food Policy, Elsevier, vol. 102(C).
    10. Jeanne Hagenbach & Rachel Kranton, 2023. "Competition, Cooperation, and Motivated Social Perceptions," Working Papers hal-03792554, HAL.
    11. Katharina Momsen & Markus Ohndorf, 2022. "Seller Opportunism in Credence Good Markets – The Role of Market Conditions," Working Papers 2022-10, Faculty of Economics and Statistics, Universität Innsbruck.
    12. Jeanne Hagenbach & Charlotte Saucet, 2024. "Motivated Skepticism," SciencePo Working papers Main hal-03770685, HAL.
    13. Fabian Bopp & Wendelin Schnedler, 2023. "Does room for reflection reduce ignorance and increase pro-social behavior? An experimental study," Working Papers Dissertations 109, Paderborn University, Faculty of Business Administration and Economics.

    More about this item

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:28376. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.