Daniel Li daniel.li@durham.ac.uk
Associate Professor
Disclosure or not, when there are three bidders?
Li, Daniel Z.
Authors
Abstract
This paper provides a more general sufficient condition than Hummel and McAfee (2015) for optimal information disclosure in auctions when there are three bidders. We show that the optimal disclosure policy is related to the skewness of the distribution of bidders' valuations. Specifically, if the distribution is skewed to the left (right), it is optimal for the seller to reveal full (no) information to the bidders. And if it is symmetric, then there's no difference between revealing information or not.
Citation
Li, D. Z. (2016). Disclosure or not, when there are three bidders?. Economics Bulletin, 36(1), 349-354
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 17, 2016 |
Online Publication Date | Mar 17, 2016 |
Publication Date | Mar 17, 2016 |
Deposit Date | Apr 28, 2016 |
Publicly Available Date | May 4, 2016 |
Journal | Economics Bulletin |
Print ISSN | 1545-2921 |
Publisher | Economics Bulletin |
Peer Reviewed | Peer Reviewed |
Volume | 36 |
Issue | 1 |
Pages | 349-354 |
Public URL | https://durham-repository.worktribe.com/output/1383416 |
Publisher URL | http://www.economicsbulletin.com/ |
Files
Accepted Journal Article
(96 Kb)
PDF
You might also like
The Consequence of Takeover Methods: Schemes of Arrangement vs. Takeover Offers
(2022)
Journal Article
Sequential Search with Adaptive Intensity
(2021)
Journal Article
Participation and Welfare in Auctions with Default
(2019)
Journal Article
Equilibrium Competition, Social Welfare and Corruption in Procurement Auctions
(2019)
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