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Overinference from Weak Signals and Underinference from Strong Signals

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  • Ned Augenblick
  • Eben Lazarus
  • Michael Thaler

Abstract

We study how overreaction and underreaction to signals depend on their informativeness. While a large literature has studied belief updating in response to highly informative signals, people in important real-world settings are often faced with a steady stream of weak signals. We use a tightly controlled experiment and new empirical evidence from betting and financial markets to demonstrate that updating behavior differs meaningfully by signal strength: across domains, our consistent and robust finding is overreaction to weak signals and underreaction to strong signals. Both sets of results align well with a simple theory of cognitive imprecision about signal informativeness. Our framework and findings can help harmonize apparently contradictory results from the experimental and empirical literatures.

Suggested Citation

  • Ned Augenblick & Eben Lazarus & Michael Thaler, 2021. "Overinference from Weak Signals and Underinference from Strong Signals," Papers 2109.09871, arXiv.org, revised Mar 2023.
  • Handle: RePEc:arx:papers:2109.09871
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    References listed on IDEAS

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    Cited by:

    1. Luca Braghieri, 2023. "Biased Decoding and the Foundations of Communication," CESifo Working Paper Series 10432, CESifo.
    2. Mel Win Khaw & Ziang Li & Michael Woodford, 2022. "Cognitive Imprecision and Stake-Dependent Risk Attitudes," CESifo Working Paper Series 9923, CESifo.
    3. Charlotte Cordes & Jana Friedrichsen & Simeon Schudy, 2023. "Motivated Procrastination," Rationality and Competition Discussion Paper Series 471, CRC TRR 190 Rationality and Competition.

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