Heterogeneity, Uncertainty and Learning: Semiparametric Identification and Estimation
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https://www.nber.org/papers/w32164
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资源简介：
We provide semiparametric identification results for a broad class of learning models in which continuous outcomes depend on three types of unobservables: i) known heterogeneity, ii) initially unknown heterogeneity that may be revealed over time, and iii) transitory uncertainty. We consider a common
提供机构：
美国国家经济研究局
创建时间：
2024-02-01
