Rationalizable Learning
收藏NBER2023-01-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w30873
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资源简介：
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
提供机构：
美国国家经济研究局
创建时间：
2023-01-01
