Diversity, Disagreement, and Information Aggregation


Micro Theory Seminar

United States

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Joint with Xienan Cheng

Abstract: "Imagine two equally well, but imperfectly informed experts are hired to advise a decision maker. It seems obvious that the decision maker will not want the experts' private signals to be perfectly correlated. But, if not perfect correlation, which joint distribution of the experts' private signals are most helpful to the decision maker? To address this question we analyze Blackwell comparisons of joint distributions that are compatible with given marginal distributions of the two experts' private signals. We identify conditions under which an increase in the probability that the experts disagree improves, in Blackwell's sense, the informativeness of the advice that the decision maker receives."

Tilman Börgers

Tilman Börgers

University of Michigan