Jesal D. Sheth
Disclosure of information under competition: An experimental study
Sheth, Jesal D.
Authors
Abstract
The theory of voluntary disclosure of information posits that market forces lead firms (senders) to disclose information through a process of unravelling. This prediction requires that consumers (receivers) hold correct beliefs and, in equilibrium, make adverse inferences about non-disclosed information. Previous research finds that receivers are naïve and do not sufficiently infer non-disclosure as bad news, leading to the failure of complete unravelling. This paper experimentally examines whether competition between senders increases unravelling and decreases receivers' naivety about non-disclosed information. We find that while complete unravelling fails to occur, competition between senders significantly increases unravelling and receivers' overall welfare. Receivers' welfare increases despite no significant difference in their guesses or beliefs about non-disclosed information relative to the treatment without competition, and this is driven by higher rates of disclosure by senders. We conclude that competition between senders positively affects disclosure of information and receivers' welfare.
Citation
Sheth, J. D. (2021). Disclosure of information under competition: An experimental study. Games and Economic Behavior, 129, 158-180. https://doi.org/10.1016/j.geb.2021.05.009
Journal Article Type | Article |
---|---|
Acceptance Date | May 25, 2021 |
Online Publication Date | Jun 2, 2021 |
Publication Date | Sep 1, 2021 |
Deposit Date | Nov 17, 2021 |
Publicly Available Date | Jun 3, 2023 |
Journal | Games and Economic Behavior |
Print ISSN | 0899-8256 |
Electronic ISSN | 1090-2473 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 129 |
Pages | 158-180 |
DOI | https://doi.org/10.1016/j.geb.2021.05.009 |
Keywords | Economics and Econometrics; Finance; Competition; Experiment; Disclosure; Verifiable information; Conflict of interest |
Public URL | https://nottingham-repository.worktribe.com/output/6727964 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S089982562100066X |
Files
FULL-Sheth(2021) Competition Revisions
(725 Kb)
PDF
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.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 © 2025
Advanced Search