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Advice and Fictive Learning: The Pricing of Assets in the Laboratory

Author

Listed:
  • Jonathan E. Alevy

    () (Department of Economics, University of Alaska Anchorage)

  • Michael K. Price

    () (Department of Economics, Georgia State University)

Abstract

A burgeoning literature in the neurosciences suggests that individuals modify their behavior not only in response to their own experiences, but also from what they learn about the experiences of others engaged in similar tasks. Importantly, these different forms of learning are associated with common neurological processes. We explore whether others’ advice provides a fictive learning signal that substitutes for one’s own experience. We examine this question in an environment where inexperienced traders frequently perform poorly – an experimental asset market. Prices in sessions with advice tend towards fundamentals mitigating the severity of price bubbles. Further, advice allays behaviors shown to yield bubbles in prior studies. Taken jointly, our data suggest that advice triggers fictive learning which helps agents avoid the “mistakes” made by naïve counterparts.

Suggested Citation

  • Jonathan E. Alevy & Michael K. Price, 2012. "Advice and Fictive Learning: The Pricing of Assets in the Laboratory," Working Papers 2012-07, University of Alaska Anchorage, Department of Economics.
  • Handle: RePEc:ala:wpaper:2012-07
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    File URL: http://www.econpapers.uaa.alaska.edu/RePEC/ala/wpaper/ALA201207.pdf
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    References listed on IDEAS

    as
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    4. Vivian Lei & Filip Vesely, 2009. "Market Efficiency: Evidence From A No-Bubble Asset Market Experiment," Pacific Economic Review, Wiley Blackwell, vol. 14(2), pages 246-258, May.
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    6. Jonathan E. Alevy & Michael S. Haigh & John A. List, 2007. "Information Cascades: Evidence from a Field Experiment with Financial Market Professionals," Journal of Finance, American Finance Association, vol. 62(1), pages 151-180, February.
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    More about this item

    Keywords

    asset pricing; laboratory experiments; advice;

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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