IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/131071.html

The inference-forecast gap in belief updating

Author

Listed:
  • Fan, Tony Q.
  • Liang, Yucheng
  • Peng, Cameron

Abstract

Evidence from the laboratory and the field has uncovered both underreaction and overreaction to new information. We provide new experimental evidence on the underlying mechanisms of under- and overreaction by comparing how people make inferences and revise forecasts in the same information environment. Participants underreact to signals when inferring about underlying states, but overreact to the same signals when revising forecasts about future outcomes— a phenomenon we term “the inference-forecast gap.” We show that this gap is largely driven by different simplifying heuristics used in the two tasks. Additional treatments suggest that the choice of heuristics is affected by the similarity between statistics in the information environment and the statistic elicited by the belief-updating problem.

Suggested Citation

  • Fan, Tony Q. & Liang, Yucheng & Peng, Cameron, 2026. "The inference-forecast gap in belief updating," LSE Research Online Documents on Economics 131071, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:131071
    as

    Download full text from publisher

    File URL: https://researchonline.lse.ac.uk/id/eprint/131071/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hassan Afrouzi & Spencer Y Kwon & Augustin Landier & Yueran Ma & David Thesmar, 2023. "Overreaction in Expectations: Evidence and Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(3), pages 1713-1764.
    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. Jonas D. M. Fisher & Leonardo Melosi & Sebastian Rast, 2025. "Long-Run Inflation Expectations," Working Papers 829, DNB.
    2. Andries, Marianne & Bianchi, Milo & Huynh, Karen & Pouget, Sebastien, 2024. "Return Predictability, Expectations, and Investment: Experimental Evidence," CEPR Discussion Papers 19239, Centre for Economic Policy Research.
    3. Campiglio, Emanuele & Lamperti, Francesco & Terranova, Roberta, 2024. "Believe me when I say green! Heterogeneous expectations and climate policy uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 165(C).
    4. Michael T. Kiley, 2025. "Monetary Policy Strategy and the Anchoring of Long-Run Inflation Expectations," Finance and Economics Discussion Series 2025-027, Board of Governors of the Federal Reserve System (U.S.).
    5. Han, Leyla Jianyu, 2025. "Announcements, expectations, and stock returns with asymmetric information," Journal of Monetary Economics, Elsevier, vol. 151(C).
    6. James Cloyne & Òscar Jordà & Sanjay R. Singh & Alan M. Taylor, 2025. "Asset Prices and Credit with Diagnostic Expectations," Working Paper Series 2025-15, Federal Reserve Bank of San Francisco.
    7. Bro, Jeppe & Eriksen, Jonas N., 2025. "Subjective expectations and house prices," Journal of Banking & Finance, Elsevier, vol. 172(C).
    8. Jonas Radbruch & Amelie Schiprowski, 2025. "Interview Sequences and the Formation of Subjective Assessments," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 92(2), pages 1226-1256.
    9. Sebastian Link & Andreas Peichl & Oliver Pfäuti & Christopher Roth & Johannes Wohlfart, 2023. "Attention to the Macroeconomy," ECONtribute Discussion Papers Series 256, University of Bonn and University of Cologne, Germany.
    10. Benjamin Christoffersen & Arvid Hoffmann & Zwetelina Iliewa & Lena Jaroszek, 2025. "Experience Effects on Wall Street vs. Main Street: Field and Lab Evidence of Context Dependence," CRC TR 224 Discussion Paper Series crctr224_2025_684, University of Bonn and University of Mannheim, Germany.
    11. Lustenhouwer, Joep & Salle, Isabelle, 2025. "Learning to be rational in the presence of news: A lab investigation," European Economic Review, Elsevier, vol. 172(C).
    12. Barahona, Ricardo & Cassella, Stefano & Jansen, Kristy A.E. & Pezone, Vincenzo, 2026. "Do teams alleviate or exacerbate overreaction in beliefs?," Journal of Financial Economics, Elsevier, vol. 176(C).
    13. Junyi Liao, 2026. "Adaptive expectations and reaction to information," Economica, London School of Economics and Political Science, vol. 93(370), pages 488-523, April.
    14. Breitmoser, Yves & Valasek, Justin, 2023. "Why do committees work?," Discussion Paper Series in Economics 18/2023, Norwegian School of Economics, Department of Economics.
    15. Aktuğ, Emrehan & Rezghi, Abolfazl, 2025. "Asymmetric overreaction," European Economic Review, Elsevier, vol. 180(C).
    16. Constantin Charles & Cary Frydman & Mete Kilic, 2024. "Insensitive Investors," Journal of Finance, American Finance Association, vol. 79(4), pages 2473-2503, August.
    17. Zhenyu Gao & Wenxi Jiang & Yutong Yan, 2026. "Debiasing LLMs by Fine-tuning," Papers 2604.02921, arXiv.org, revised May 2026.
    18. Bürgi, Constantin & Ortiz, Julio L., 2026. "Overreaction through anchoring," International Journal of Forecasting, Elsevier, vol. 42(2), pages 512-526.
    19. Zanetti Chini, Emilio, 2025. "Judgment can spur long memory," Journal of Economic Dynamics and Control, Elsevier, vol. 170(C).
    20. Bao, Te & Dai, Yun & Duffy, John, 2025. "Least squares learning? Evidence from the laboratory," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • F3 - International Economics - - International Finance
    • G3 - Financial Economics - - Corporate Finance and Governance
    • J1 - Labor and Demographic Economics - - Demographic Economics

    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:ehl:lserod:131071. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.