Show simple item record

Decision-Making With Potentially Biased Advisors

dc.contributor.author Kupiec, Kevin
dc.date.accessioned 2011-04-18T16:20:14Z
dc.date.available 2011-04-18T16:20:14Z
dc.date.issued 2011-04-18
dc.identifier.uri https://hdl.handle.net/10161/3554
dc.description Economics Honors Thesis
dc.description.abstract With the world full of situations in which information that is potentially useful to decision-making is dispersed among various individuals, research into how this information can be efficiently shared has been the focus of a large body of research in recent years. Intuitively, it seems that even the most self-interested agents would benefit from sharing at least some of their private information, and by considering the sender-receiver game, the simplest Bayesian game with communication, it is possible to examine this belief. Previous research has studied the sender-receiver game in detail in order to characterize the associated equilibrium and determine properties of optimal decision-making strategies. However, a key assumption among current literature is that both players know the preference divergence between the sender and receiver, but this is not always true. In order to close the gap in research that currently exists, this paper examines the sender-receiver game when the preference divergence is unknown to the receiver, but in a situation when commitment to a mechanism is possible. The results reveal that any optimal mechanism maximizing the expected utility of the receiver must take a rather simple form in which he chooses the sender's favorite action in general, but if the recommendation is above or below a certain threshold, the decision rule becomes independent of the information. The results have many real-world implications and suggest that when commitment is possible, even when the receiver doesn't know how great the preference divergence is, expected utilities, a priori, can be increased. The analysis also suggests that disclosure of preferences by the sender may actually decrease expected outcomes.
dc.language.iso en_US
dc.subject Bayesian Games
dc.subject Mechanism Design
dc.subject Communication
dc.subject Conflict of Interests
dc.subject Sender-Receiver
dc.title Decision-Making With Potentially Biased Advisors
dc.type Honors thesis
dc.department Economics


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record