Teaching Economics to the Machines
收藏NBER2026-01-01 更新2026-01-24 收录
下载链接：
https://www.nber.org/papers/w34713
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资源简介：
Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility but are prone to overfitting and weak out-of-distribution generalization. We propose a theory-guided
提供机构：
美国国家经济研究局
创建时间：
2026-01-01
