Advice and Fictive Learning: The Pricing of Assets in the Laboratory
AbstractA 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.
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Bibliographic InfoPaper provided by University of Alaska Anchorage, Department of Economics in its series Working Papers with number 2012-07.
Date of creation: Dec 2012
Date of revision:
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Web page: http://www.cbpp.uaa.alaska.edu/CBPPHome/DepartmentsandMajors/Economics.aspx
More information through EDIRC
asset pricing; laboratory experiments; advice;
Find related papers by JEL classification:
- C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-04-13 (All new papers)
- NEP-CBE-2013-04-13 (Cognitive & Behavioural Economics)
- NEP-EVO-2013-04-13 (Evolutionary Economics)
- NEP-EXP-2013-04-13 (Experimental Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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