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Ownership, Learning, and Beliefs

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  • Samuel M Hartzmark
  • Samuel D Hirshman
  • Alex Imas

Abstract

We examine how owning a good affects learning and beliefs about its quality. We show that people have more extreme reactions to information about a good they own compared with the same information about a nonowned good: ownership causes more optimistic beliefs after receiving a positive signal and more pessimistic beliefs after receiving a negative signal. Comparing learning to normative benchmarks reveals that people overextrapolate from signals about goods they own, which leads to an overreaction to information; in contrast, learning is close to Bayesian for nonowned goods. We provide direct evidence that this effect is driven by ownership channeling greater attention toward associated information, which leads people to overweight recent signals when forming beliefs. The relationship between ownership and beliefs has testable implications for trade and market expectations. In line with these predictions, we show that the endowment effect doubles in response to positive information and disappears with negative information, and demonstrate a significant relationship between ownership and overextrapolation in survey data about stock market expectations.

Suggested Citation

  • Samuel M Hartzmark & Samuel D Hirshman & Alex Imas, 2021. "Ownership, Learning, and Beliefs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1665-1717.
  • Handle: RePEc:oup:qjecon:v:136:y:2021:i:3:p:1665-1717.
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    File URL: http://hdl.handle.net/10.1093/qje/qjab010
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    Cited by:

    1. Brunner, Fabian & Gamm, Fabian & Mill, Wladislaw, 2023. "MyPortfolio: The IKEA effect in financial investment decisions," Journal of Banking & Finance, Elsevier, vol. 154(C).
    2. Edika Quispe-Torreblanca & David Hume & John Gathergood & George Loewenstein & Neil Stewart, 2023. "At the Top of the Mind: Peak Prices and the Disposition Effect," Discussion Papers 2023-09, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    3. Constantin Charles & Cary D. Frydman & Mete Kilic, 2022. "Insensitive Investors," CESifo Working Paper Series 10067, CESifo.
    4. Charles, Constantin & Frydman, Cary & Kilic, Mete, 2023. "Insensitive Investors," LSE Research Online Documents on Economics 120788, London School of Economics and Political Science, LSE Library.
    5. Yves Arrighi & David Crainich & Véronique Flambard & Sophie Massin, 2022. "Personalized information and willingness to pay for non-financial risk prevention: An experiment," Journal of Risk and Uncertainty, Springer, vol. 65(1), pages 57-82, August.
    6. Liao, Jingchi & Peng, Cameron & Zhu, Ning, 2022. "Extrapolative bubbles and trading volume," LSE Research Online Documents on Economics 110514, London School of Economics and Political Science, LSE Library.
    7. Cordes, Henning & Nolte, Sven & Schneider, Judith C., 2023. "Dynamics of stock market developments, financial behavior, and emotions," Journal of Banking & Finance, Elsevier, vol. 154(C).

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