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Rationalizable Learning

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NBER2023-01-01 更新2025-01-04 收录
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The central question we address in this paper is: what can an analyst infer from choice data about what a decision maker has learned? The key constraint we impose, which is shared across models of Bayesian learning, is that any learning must be rationalizable. To implement this constraint, we

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2023-01-01
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