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A Primer on Deep Learning for Causal Inference
This review systematizes the emerging literature for causal inference using deep neural networks under the potential outcomes framework.
Uncovering Sociological Effect Heterogeneity using Machine Learning
In this paper, we use causal trees to recursively partition the sample and uncover sources of treatment effect heterogeneity.
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