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Endogenous Timing and the Clustering of Agents' Decisions

Authors: Gul, Faruk; Lundholm, Russell;

Endogenous Timing and the Clustering of Agents' Decisions

Abstract

This paper presents a model in which agents choose an action and a time at which to take the action. We show that when agents choose when to act, their decisions become clustered together, giving the appearance of an information cascade, even though information is actually being used efficiently. This occurs because the passage of time allows the first acting agent to anticipate something about the second agent's information, and for a large class of delay cost functions, the equilibrium orders agents in such a way that the most extreme information is revealed first.

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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!
143
Top 10%
Top 1%
Top 10%
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