Understanding Patenting Disparities via Causal Human+Machine Learning
收藏NBER2025-09-01 更新2025-09-13 收录
下载链接：
https://www.nber.org/papers/w34197
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资源简介：
We develop an empirical approach for analyzing multi-dimensional discrimination using multimodal data, combining human perception measures with language-embedding-based, nonlinear controls for latent quality to relax restrictive assumptions in causal machine learning. Applying it to the U.S. patent
提供机构：
美国国家经济研究局
创建时间：
2025-09-01
