EconPapers    
Economics at your fingertips  
 

Expert-based Knowledge: Communicating over Scientific Models

Philippe Colo ()

MPRA Paper from University Library of Munich, Germany

Abstract: Scientific models structure our perception of reality. This paper studies how we choose among them under expert advise. Scientific models are formalised as probability distributions over possible scenarios. An expert is assumed to know the most likely model and seeks to communicate it to a decision maker, but cannot prove it. As a result, communication is a cheap talk game over models. The decision maker is in a situation of model-uncertainty and is ambiguity sensitive. I show that information transmission depends on the strategic misalignment of players and, unlike similar models in the literature, a form of consensus among scientific models. When science is divided, there is an asymmetry in information transmission when the receiver has maxmin expected utility preferences. No information can be conveyed over models above a certain threshold. All equilibria of the game are outcome equivalent to a partitional equilibria and the most informative one is interim Pareto dominant.

Keywords: Ambiguity; cheap talk (search for similar items in EconPapers)
JEL-codes: C72 D81 D83 (search for similar items in EconPapers)
Date: 2021-10-13
New Economics Papers: this item is included in nep-gth, nep-mic, nep-ore and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/110434/1/MPRA_paper_110434.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/110489/8/MPRA_paper_110489.pdf revised version (application/pdf)
https://mpra.ub.uni-muenchen.de/110488/1/MPRA_paper_110488.pdf revised version (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:pra:mprapa:110434

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2022-08-25
Handle: RePEc:pra:mprapa:110434