EconPapers    
Economics at your fingertips  
 

Signaling under double-crossing preferences: The case of discrete types

Chia-Hui Chen, Junichiro Ishida and Wing Suen

Journal of Mathematical Economics, 2024, vol. 114, issue C

Abstract: The class of double-crossing preferences, where signaling is cheaper for higher types than for lower types at low signaling levels and the opposite is true at high signaling levels, underlines the phenomenon of countersignaling, with intermediate types choosing higher actions than higher and lower types. We provide an algorithm to systematically construct an equilibrium and thus establish equilibrium existence for this general class of preferences with an arbitrary discrete-type distribution. Our analysis sheds light on the connection between discrete-type and continuous-type models and clarifies robust predictions of signaling under double-crossing preferences.

Keywords: Countersignaling; Weak pairwise-matching condition; Minimum allocation; Low types separate and high types pairwise-pool (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030440682400106X
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Signaling under Double-Crossing Preferences: The Case of Discrete Types (2022) Downloads
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:eee:mateco:v:114:y:2024:i:c:s030440682400106x

DOI: 10.1016/j.jmateco.2024.103046

Access Statistics for this article

Journal of Mathematical Economics is currently edited by Atsushi (A.) Kajii

More articles in Journal of Mathematical Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-04-07
Handle: RePEc:eee:mateco:v:114:y:2024:i:c:s030440682400106x