Bayesian and Frequentist Inference in Partially Identified Models
收藏NBER2009-04-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w14882
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资源简介：
A large sample approximation of the posterior distribution of partially identified structural parameters is derived for models that can be indexed by a finite-dimensional reduced form parameter vector. It is used to analyze the differences between frequentist confidence sets and Bayesian credible
提供机构：
美国国家经济研究局
创建时间：
2009-04-01
