Tools for estimating quantile, super-quantile and f-risk conditional distributional treatment effects.
Replication code for Robust and Agnostic Learning of Conditional Distributional Treatment Effects.
- For Figure 2, run
python csqte_sims.py - For Figure 3, Figure 6 & Table 1, run
python 401k.py - For Figure 4, run
python cqte_sims.py - For Figure 5, run
python cklrte_sims.py
Note: the original results were obtained using an Amazon Web Services instance with 32 vCPUs and 64 GiB of RAM. These results might take longer to run on other machines.