Hierarchical Bayes Models with Many Instrumental Variables
收藏NBER1996-09-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/t0204
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资源简介：
In this paper, we explore Bayesian inference in models with many instrumental variables that are potentially weakly correlated with the endogenous regressor. The prior distribution has a hierarchical (nested) structure. We apply the methods to the Angrist-Krueger (AK, 1991) analysis of returns to
提供机构：
美国国家经济研究局
创建时间：
1996-09-01
