Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Scrutiny and Information Influencing

Authors: Lin Nan; Xiaoyan Wen;

Scrutiny and Information Influencing

Abstract

In this paper we investigate the effectiveness of imposing scrutiny to fight firms' information garbling. We study a setting in which both firms with good and bad projects are able to influence the informativeness of a public signal regarding their project types through unobservable efforts, and scrutiny will be imposed if the outcome of the project is bad while the previously signal about the project type was good.We show that a scrutiny threat is indeed effective in deterring bad firms' garbling behavior. However, in most cases it is optimal not to impose scrutiny at all, even if part of the scrutiny cost is reimbursable to investors. This is because scrutiny not only deters bad firms from garbling, but also hurts good firms by punishing them for "bad luck." A good firm may be accidentally punished if the signal is accurate about its type but the outcome unfortunately turns out to be bad. In most cases, the benefit of suppressing garbling is outweighed by the cost of hurting and discouraging good firms, and imposing scrutiny is not efficient. We also find that when a sufficiently large proportion of the scrutiny cost can be reimbursed to investors, a good firm's effort to improve information quality may even increase in the scrutiny cost.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!