Dynamic Concern for Misspecification

Giacomo Lanzani
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Abstract

We consider an agent that repeatedly chooses among actions whose payoffs have an unknown distribution. This choice is taken using an average of robust control assessments, where each assessment takes a different structured model as the benchmark. We introduce endogeneity in the misspecification concern: the better the structured models explain the past, the less concerned the agent is.
动态关注不规范
我们考虑的是一个代理,该代理会在报酬分布未知的行动中反复做出选择。这种选择是通过稳健控制评估的平均值做出的,其中每个评估都以不同的结构化模型为基准。我们将内生性引入对误判的担忧中:结构化模型对过去的解释越好,代理人的担忧就越少。
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