Persuasion of a Privately Informed Receiver

Anton Kolotilin, Tymofiy Mylovanov (), Andriy Zapechelnyuk and Ming Li
Additional contact information
Tymofiy Mylovanov: University of Pittsburgh, Department of Economics

No 2016-21, Discussion Papers from School of Economics, The University of New South Wales

Abstract: We study persuasion mechanisms in linear environments. A privately informed receiver chooses between two actions. A sender designs a persuasion mechanism that can condition the information disclosed to the receiver on the receiver’s report about his type. We establish the equivalence of implementation by persuasion mechanisms and by experiments. We also characterize the optimal persuasion mechanisms. In particular, if the density of the receiver’s type is log-concave, then the optimal persuasion mechanism reveals the state if and only if the state is below a threshold. We apply our results to the design of media censorship policies.

Keywords: Bayesian persuasion; information disclosure; information design; mechanism design without transfers; experiments; persuasion mechanisms; media (search for similar items in EconPapers)
JEL-codes: D82 D83 L82 (search for similar items in EconPapers)
Pages: 38 pages
Date: 2016-11
New Economics Papers: this item is included in nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (39)

Downloads: (external link)
http://research.economics.unsw.edu.au/RePEc/papers/2016-21.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Unavailable: Back-end server is at capacity

Related works:
Journal Article: Persuasion of a Privately Informed Receiver (2017)
Working Paper: PERSUASION OF A PRIVATELY INFORMED RECEIVER (2016)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:swe:wpaper:2016-21

Access Statistics for this paper

More papers in Discussion Papers from School of Economics, The University of New South Wales Contact information at EDIRC.
Bibliographic data for series maintained by Hongyi Li ().