False modesty: When disclosing good news looks bad

Richmond Harbaugh and Ted To

Journal of Mathematical Economics, 2020, vol. 87, issue C, 43-55

Abstract: Is it always wise to disclose good news? Using a new statistical dominance condition, we show that if the receiver has any private receiver information then the weakest senders with good news gain the most from boasting about it. Hence the act of disclosing good news can paradoxically make the sender look bad. Nondisclosure by some or all senders is an equilibrium if standards for the news are sufficiently easy or if prior expectations without the news are sufficiently favorable. Full disclosure is the unique equilibrium if standards are sufficiently difficult or sufficiently fine, or if prior expectations are sufficiently unfavorable. Since the sender has a legitimate fear of looking overly anxious to reveal good news, mandating that the sender disclose the news can help the sender. The model’s predictions are consistent with when faculty avoid using titles such as “Dr.” or “Professor” in voicemail greetings and course syllabi.

Keywords: Disclosure; Unraveling; Countersignaling; Persuasion; Verifiable message; Private receiver information (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304406818301216
Full text for ScienceDirect subscribers only

Related works:
Working Paper: False Modesty: When Disclosing Good News Looks Bad (2005)
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:87:y:2020:i:c:p:43-55

DOI: 10.1016/j.jmateco.2018.10.004

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 ().