The value of a stochastic information structure |
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Authors: | Yaron Azrieli Ehud Lehrer |
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Institution: | aSchool of Mathematical Sciences, Tel Aviv University, Tel Aviv 69978, Israel |
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Abstract: | Upon observing a signal, a Bayesian decision maker updates her probability distribution over the state space, chooses an action, and receives a payoff that depends on the state and the action taken. An information structure determines the set of possible signals and the probability of each signal given a state. For a fixed decision problem, the value of an information structure is the maximal expected utility that the decision maker can get when the observed signals are governed by this structure. Thus, every decision problem induces a preference order over information structures according to their value. We characterize preference orders that can be obtained in this way. We also characterize the functions defined over information structures that measure their value. |
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Keywords: | Information structure Bayesian decision making Information function Preference order |
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