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On the optimality of diverse expert panels in persuasion games

Sourav Bhattacharya, Maria Goltsman and Arijit Mukherjee

Games and Economic Behavior, 2018, vol. 107, issue C, 345-363

Abstract: We consider a persuasion game where the decision-maker relies on a panel of biased experts. An expert's preference is parameterized by his ideal action, or agenda. Common intuition suggests that more information is revealed if the panel includes experts with opposed agendas, because such experts will undo each other's attempts to conceal unfavorable information. In contrast, we show that recruiting experts with diverse agendas is optimal only if the correlation between the experts' types—i.e., whether they are informed or not—is above a threshold. Moreover, if the experts' types are independent, under mild assumptions it is optimal to recruit experts who have extreme but identical agendas. These findings suggest that the diversity of preferences must be considered in conjunction with the diversity of information sources, and it is generally sub-optimal to seek diversity in both dimensions.

Keywords: Persuasion games; Panel design (search for similar items in EconPapers)
JEL-codes: D82 D83 (search for similar items in EconPapers)
Date: 2018
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Handle: RePEc:eee:gamebe:v:107:y:2018:i:c:p:345-363