Updating beliefs with imperfect signals : experimental evidence
AbstractThis article analyses belief updating when agents receive a signal that restricts the number of possible states of the world. We create an experiment on individual choice under uncertainty. In this experiment, the subject observes an urn, containing yellow and blue balls, whose composition is partially revealed. The subject has to assess the composition of the urn and form an initial belief. Then, he receives a signal that restricts the set of the possible urns from which the initial observed sample is drawn. Once again, he has to estimate the composition of the urn. Our results show that, on the whole, this type of signal increases the frequency of correct assessment. However, differences appear between validating and invalidating signals (i.e. signals that either confirm or disprove the initial belief). The later significantly increase the probability to make a correct assessment whereas validating signals reduce the frequency of correct estimations. We find evidences of lack of persistence in choice under uncertainty. The literature shows that people may persist with their choice even when they are wrong. We show that they may also change even if they are right.
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Bibliographic InfoPaper provided by Groupe d'Analyse et de Théorie Economique (GATE), Centre national de la recherche scientifique (CNRS), Université Lyon 2, Ecole Normale Supérieure in its series Working Papers with number 1033.
Length: 28 pages
Date of creation: 2010
Date of revision:
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Beliefs; Imperfect Information; Experiment;
Other versions of this item:
- François Poinas & Julie Rosaz & Béatrice Roussillon, 2012. "Updating beliefs with imperfect signals: Experimental evidence," Journal of Risk and Uncertainty, Springer, vol. 44(3), pages 219-241, June.
- Poinas, François & Rosaz, Julie & Roussillon, Béatrice, 2012. "Updating Beliefs with Imperfect Signals: Experimental Evidence," Open Access publications from University of Toulouse 1 Capitole http://neeo.univ-tlse1.fr, University of Toulouse 1 Capitole.
- François Poinas & Julie Rosaz & Béatrice Roussillon, 2010. "Updating beliefs with imperfect signals: experimental evidence," Post-Print halshs-00550350, HAL.
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-01-03 (All new papers)
- NEP-CBE-2011-01-03 (Cognitive & Behavioural Economics)
- NEP-EXP-2011-01-03 (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.:
- Grether, David M., .
"Bayes Rule as a Descriptive Model: The Representativeness Heuristic,"
245, California Institute of Technology, Division of the Humanities and Social Sciences.
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- Ouwersloot, Hans & Nijkamp, Peter & Rietveld, Piet, 1998. "Errors in probability updating behaviour : Measurement and impact analysis," Journal of Economic Psychology, Elsevier, vol. 19(5), pages 535-563, October.
- Hoffman, Ross M. & Kagel, John H. & Levin, Dan, 2011. "Simultaneous versus sequential information processing," Economics Letters, Elsevier, vol. 112(1), pages 16-18, July.
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