IDEAS home Printed from https://ideas.repec.org/p/bdp/dpaper/0086.html

Overprecision and (Ir)rational Inattention

Author

Listed:
  • Ciril Bosch-Rosa
  • Muhammed Bulutay
  • Bernhard Kassner

Abstract

This paper integrates overprecision—a form of overconfidence where individuals overestimate the accuracy of their beliefs—into a canonical rational inattention model. We show that overprecision distorts belief updating directly by biasing the perceived value of new information and indirectly by amplifying the impact of attention costs. We test the model’s predictions in a pre-registered 2 x 2 belief-updating experiment that manipulates overprecision and information costs. The results confirm that overprecision reduces updating and that higher information costs lead to lower responsiveness to signals. While our pre-registered analysis finds no support for the predicted interaction between overprecision and attention costs, a more granular specification shows that the effect of information costs on belief updating is stronger for overprecise participants. These findings suggest that what appears as rational inattention partly reflects irrational inattention arising from misperceived prior accuracy, underscoring the need to distinguish informational frictions from cognitive biases when modeling attention.

Suggested Citation

  • Ciril Bosch-Rosa & Muhammed Bulutay & Bernhard Kassner, 2026. "Overprecision and (Ir)rational Inattention," Berlin School of Economics Discussion Papers 0086, Berlin School of Economics.
  • Handle: RePEc:bdp:dpaper:0086
    DOI: 10.48462/opus4-6028
    as

    Download full text from publisher

    File URL: https://opus4.kobv.de/opus4-hsog/files/6028/BSoE_DP_0086.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.48462/opus4-6028?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    2. Michaela Pagel, 2018. "A News‐Utility Theory for Inattention and Delegation in Portfolio Choice," Econometrica, Econometric Society, vol. 86(2), pages 491-522, March.
    3. Dewan, Ambuj & Neligh, Nathaniel, 2020. "Estimating information cost functions in models of rational inattention," Journal of Economic Theory, Elsevier, vol. 187(C).
    4. Dmitry Taubinsky & Alex Rees-Jones, 2018. "Attention Variation and Welfare: Theory and Evidence from a Tax Salience Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(4), pages 2462-2496.
    5. Michael Thaler, 2024. "The Fake News Effect: Experimentally Identifying Motivated Reasoning Using Trust in News," American Economic Journal: Microeconomics, American Economic Association, vol. 16(2), pages 1-38, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Edika Quispe-Torreblanca & John Gathergood & George Loewenstein & Neil Stewart, 2026. "Attention Utility: Evidence from Individual Investors," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 93(1), pages 664-696.
    2. John Gathergood & David Hirshleifer & David Leake & Hiroaki Sakaguchi & Neil Stewart, 2023. "Naïve Buying Diversification and Narrow Framing by Individual Investors," Journal of Finance, American Finance Association, vol. 78(3), pages 1705-1741, June.
    3. Liu, Hongqi & Peng, Cameron & Xiong, Wei A. & Xiong, Wei, 2022. "Taming the bias zoo," Journal of Financial Economics, Elsevier, vol. 143(2), pages 716-741.
    4. Bartosz Maćkowiak & Filip Matějka & Mirko Wiederholt, 2023. "Rational Inattention: A Review," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 226-273, March.
    5. Francisco Gomes & Michael Haliassos & Tarun Ramadorai, 2021. "Household Finance," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 919-1000, September.
    6. Greg Howard, 2024. "A Check for Rational Inattention," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 2(1), pages 172-199.
    7. Thaler, Michael, 2021. "Gender differences in motivated reasoning," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 501-518.
    8. Edika Quispe-Torreblanca & John Gathergood & George Loewenstein & Neil Stewart, 2025. "Investor Logins and the Disposition Effect," Management Science, INFORMS, vol. 71(1), pages 219-239, January.
    9. Liu, Hongqi & Peng, Cameron & Wei, Xiong & Wei, Xiong, 2022. "Taming the bias zoo," LSE Research Online Documents on Economics 109301, London School of Economics and Political Science, LSE Library.
    10. Rawley Heimer & Zwetelina Iliewa & Alex Imas & Martin Weber, 2025. "Dynamic Inconsistency in Risky Choice: Evidence from the Lab and Field," American Economic Review, American Economic Association, vol. 115(1), pages 330-363, January.
    11. Pascal Kieren & Martin Weber, 2025. "Expectation Formation Under Uninformative Signals," Management Science, INFORMS, vol. 71(6), pages 5123-5141, June.
    12. Justin Birru & Fernando Chague & Rodrigo De-Losso & Bruno Giovannetti, 2024. "Attention and Biases: Evidence from Tax-Inattentive Investors," Management Science, INFORMS, vol. 70(10), pages 7101-7119, October.
    13. Chhatwani, Malvika & Parija, Arpit Kumar, 2023. "Who invests in cryptocurrency? The role of overconfidence among American investors," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    14. Xu, Shen & Yin, Bichao & Lou, Chunjie, 2022. "Minority shareholder activism and corporate social responsibility," Economic Modelling, Elsevier, vol. 116(C).
    15. Huang, Hung-Yi & Yan, Cheng & Ho, Kung-Cheng, 2022. "Does managerial compensation influence price efficiency?," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    16. Berg, Joyce E. & Rietz, Thomas A., 2019. "Longshots, overconfidence and efficiency on the Iowa Electronic Market," International Journal of Forecasting, Elsevier, vol. 35(1), pages 271-287.
    17. Sumit Agarwal & Jia He & Tien Foo Sing & Jian Zhang, 2018. "Gender Gap in Personal Bankruptcy Risks: Empirical Evidence from Singapore [Large sample properties of matching estimators for average treatment effects]," Review of Finance, European Finance Association, vol. 22(2), pages 813-847.
    18. Oliver Entrop & Michael McKenzie & Marco Wilkens & Christoph Winkler, 2016. "The performance of individual investors in structured financial products," Review of Quantitative Finance and Accounting, Springer, vol. 46(3), pages 569-604, April.
    19. Boggio, Cecilia & Coda Moscarola, Flavia & Gallice, Andrea, 2020. "What is good for the goose is good for the gander?," Economics of Education Review, Elsevier, vol. 75(C).
    20. Subhasish M. Chowdhury & Joo Young Jeon, 2013. "Altruism, Anticipation, and Gender," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) 13-06, School of Economics, University of East Anglia, Norwich, UK..

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

    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:bdp:dpaper:0086. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Christian Reiter (email available below). General contact details of provider: https://edirc.repec.org/data/bdpemde.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.