Measuring Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech
收藏NBER2016-07-01 更新2025-01-04 收录
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https://www.nber.org/papers/w22423
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资源简介：
We study the problem of measuring group differences in choices when the dimensionality of the choice set is large. We show that standard approaches suffer from a severe finite-sample bias, and we propose an estimator that applies recent advances in machine learning to address this bias. We apply
提供机构：
美国国家经济研究局
创建时间：
2016-07-01
