A. Di Tillio
Monologues, dialogues, and common priors
Di Tillio, A.; Lehrer, E.; Samet, D.
Abstract
The main purpose of this paper is to provide a simple criterion enabling to conclude that two agents do not share a common prior. The criterion is simple, as it does not require information about the agents' knowledge and beliefs, but rather only the record of a dialogue between the agents. In each stage of the dialogue the agents tell each other the probability they ascribe to a fixed event and update their beliefs about the event. To characterize dialogues consistent with a common prior, we first study monologues, which are sequences of probabilities assigned by a single agent to a given event in an exogenous learning process. A dialogue is consistent with a common prior if and only if each selection sequence from the two monologues comprising the dialogue is itself a monologue.
Citation
Di Tillio, A., Lehrer, E., & Samet, D. (2022). Monologues, dialogues, and common priors. Theoretical Economics, 17(2), 587-615. https://doi.org/10.3982/te4508
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 1, 2022 |
Publication Date | 2022 |
Deposit Date | Aug 16, 2023 |
Journal | Theoretical Economics |
Print ISSN | 1933-6837 |
Electronic ISSN | 1555-7561 |
Publisher | Econometric Society |
Peer Reviewed | Peer Reviewed |
Volume | 17 |
Issue | 2 |
Pages | 587-615 |
DOI | https://doi.org/10.3982/te4508 |
Keywords | General Economics, Econometrics and Finance |
Public URL | https://durham-repository.worktribe.com/output/1719664 |
You might also like
Interpersonal independence of knowledge and belief
(2024)
Journal Article
Aggregating Inconclusive Data Sets
(2024)
Journal Article
The Value of Information in Stopping Problems
(2023)
Journal Article
Markovian Persuasion
(2023)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search