Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment

Marco Angrisani, Antonio Guarino, Philippe Jehiel () and Toru Kitagawa
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Toru Kitagawa: UCL - University College of London [London]

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Abstract: We study social learning in a continuous action space experiment. Subjects, acting in sequence, state their belief about the value of a good, after observing their predecessors' statements and a private signal. We compare the behavior in the laboratory with the Perfect Bayesian Equilibrium prediction and the predictions of bounded rationality models of decision making: the redundancy of information neglect model and the overconfidence model. The results of our experiment are in line with the predictions of the overconfidence model and at odds with the others'.

Date: 2019-07
New Economics Papers: this item is included in nep-cbe and nep-exp
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02183322v1
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Citations: View citations in EconPapers (3)

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Related works:
Journal Article: Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment (2021)
Working Paper: Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment (2021)
Working Paper: Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment (2021)
Working Paper: Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment (2019)
Working Paper: Information redundancy neglect versus overconfidence: a social learning experiment (2018)
Working Paper: Information redundancy neglect versus overconfidence: a social learning experiment (2017)
Working Paper: Information redundancy neglect versus overconfidence: a social learning experiment (2017)
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