- Deep Learning for Individual Heterogenity and Inference from Farrell et al., (2021)
- Linear, logit Models under unconfoundedness
- Code adapted from https://github.com/MisraLab/cml.github.io
- Double Machine Learning (DML) from Chernozhukhov et al., (2016)
- Estimation under unconfoundedness and instruments
- Examples
- Directed Acyclical Graphs (DAGs) and Probabilitic Graphical Models (PGMs)
-
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Heterogenous Treatment Effects from Experiments and Observational Data
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