Professor Nejat Anbarci nejat.anbarci@durham.ac.uk
Professor
An evaluator estimates as precisely as possible the innate talent of a careerist expert by observing the expert's performance in a prediction task, and has the ability to interfere with the expert's private signal by affecting its precision. The expert on the other hand knows her talent, observes this interference and can misrepresent private beliefs through strategic predictions to enhance her reputation. We show that when priors are significantly uninformative so that the task is a priori hard, the evaluator reduces the precision of the expert's signal, while when priors are significantly informative, he enhances it. We also find that the evaluator's objectives of maximising the precision of information about talent and maximising the probability of ‘truthful expert advice’ in the given task are aligned in and only in a priori hard tasks. We discuss implications of these results for market research decisions by a monopolist facing uncertain demand.
Anbarci, N., Ghosh, S., & Roy, J. (2017). Information control in reputational cheap talk. Games and Economic Behavior, 106, 153-160. https://doi.org/10.1016/j.geb.2017.09.010
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 18, 2016 |
Online Publication Date | Sep 29, 2017 |
Publication Date | Sep 29, 2017 |
Deposit Date | Aug 16, 2018 |
Publicly Available Date | Mar 29, 2019 |
Journal | Games and Economic Behavior |
Print ISSN | 0899-8256 |
Electronic ISSN | 1090-2473 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 106 |
Pages | 153-160 |
DOI | https://doi.org/10.1016/j.geb.2017.09.010 |
Public URL | https://durham-repository.worktribe.com/output/1322808 |
Accepted Journal Article
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http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
© 2018 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
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