R: Case studies#
These are case studies with the R package DoubleML.
Python: Case studies#
These are case studies with the Python package DoubleML.
Python: Impact of 401(k) on Financial Wealth
Python: Cluster Robust Double Machine Learning
Python: Group Average Treatment Effects (GATEs)
Python: Conditional Average Treatment Effects (CATEs)
Python: Difference-in-Differences Pre-Testing
Python: Impact of 401(k) on Financial Wealth (Quantile Effects)
Python: Potential Quantiles and Quantile Treatment Effects
Python: Conditional Value at Risk of potential outcomes
Python: Choice of learners
Python: Sensitivity Analysis
Python: Policy Learning with Trees
These are examples which are work-in-progress and/or not yet fully documented.