Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control
收藏NBER2023-10-01 更新2025-01-04 收录
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https://www.nber.org/papers/w31802
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资源简介：
Motivated by a recent literature on the double-descent phenomenon in machine learning, we consider highly over-parameterized models in causal inference, including synthetic control with many control units. In such models, there may be so many free parameters that the model fits the training data
提供机构：
美国国家经济研究局
创建时间：
2023-10-01
