EconPapers    
Economics at your fingertips  
 

Belief Inducibility and Informativeness

P. Jean-Jacques Herings (), Dominik Karos and Toygar Kerman
Additional contact information
Toygar Kerman: General Economics 0 (Onderwijs), RS: GSBE other - not theme-related research

No 27, Research Memorandum from Maastricht University, Graduate School of Business and Economics (GSBE)

Abstract: We consider a group of receivers who share a common prior on a finite state space and who observe private correlated signals that are contingent on the true state of the world. We show that, while necessary, Bayes plausibility is not sufficient for a distribution over posterior belief vectors to be inducible, and we provide a characterization of inducible distributions. We classify communication strategies as minimal, direct, and language independent, and show that any inducible distribution can be induced by a language independent communication strategy (LICS). We investigate 12 the role of the different classes of communication strategies for the amount of higher order information that is revealed to receivers. We show that the least informative communication strategy which induces a fixed distribution over posterior belief vec tors lies in the relative interior of the set of all language independent communication strategies which induce that distribution.

Date: 2020-10-13
New Economics Papers: this item is included in nep-des, nep-gth and nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://cris.maastrichtuniversity.nl/ws/files/53196775/RM20027.pdf (application/pdf)

Related works:
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:unm:umagsb:2020027

DOI: 10.26481/umagsb.2020027

Access Statistics for this paper

More papers in Research Memorandum from Maastricht University, Graduate School of Business and Economics (GSBE) Contact information at EDIRC.
Bibliographic data for series maintained by Leonne Portz ().

 
Page updated 2021-10-12
Handle: RePEc:unm:umagsb:2020027