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In many areas of economics there is a growing interest in how expertise and preferences drive individual and group decision making under uncertainty. Increasingly, we wish to estimate such models to quantify which of these drive decision making. In this paper we propose a new channel through...
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microeconomics, as in consumer theory and Arrow-Debreu. A last section is devoted to open questions in the attention literature …
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Stochastic independence (SI) has a complex status in probability theory. It is not part of the definition of a … probability measure, but it is nonetheless an essential property for the mathematical development of this theory, hence a property … that any theory on the foundations of probability should be able to account for. Bayesian decision theory, which is one …
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We study the computations that Bayesian agents undertake when exchanging opinions over a network. The agents act repeatedly on their private information and take myopic actions that maximize their expected utility according to a fully rational posterior belief. We show that such computations are...
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It is well known that estimated mean-variance portfolios deliver, on average, poor out-of-sample performance. A lesser-known fact that we characterize in this paper is that their out-of-sample performance is also very volatile. Using our analytical characterization of out-of-sample performance...
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generalized theory of consumer credit limit assignment. However it is natural to surmise that an accurate and dynamic credit limit … misclassification error, Bayesian decision theory can be employed instead of scorecards for a more accurate credit limit strategy …
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