Replication files

This directory contains replication code for

• Athey and Wager (2019): acic18

• Athey, Tibshirani, and Wager (2019): aos19

• Cui, Kosorok, Sverdrup, Wager, and Zhu (2020): csf

• Friedberg, Tibshirani, Athey, and Wager (2020): local_linear_examples

• Mayer, Sverdrup, Gauss, Moyer, Wager, and Josse (2020): This is available at https://github.com/imkemayer/causal-inference-missing

• Wager and Athey (2018): This paper is not based on GRF, but on the deprecated causalForest. For replication code see https://github.com/swager/causalForest

References

Susan Athey and Stefan Wager. Estimating Treatment Effects with Causal Forests: An Application. Observational Studies, 5, 2019. [paper, arxiv]

Susan Athey, Julie Tibshirani and Stefan Wager. Generalized Random Forests. Annals of Statistics, 47(2), 2019. [paper, arxiv]

Yifan Cui, Michael R. Kosorok, Erik Sverdrup, Stefan Wager, and Ruoqing Zhu. Estimating Heterogeneous Treatment Effects with Right-Censored Data via Causal Survival Forests. 2020. [arxiv]

Rina Friedberg, Julie Tibshirani, Susan Athey, and Stefan Wager. Local Linear Forests. Journal of Computational and Graphical Statistics, 2020. [paper, arxiv]

Imke Mayer, Erik Sverdrup, Tobias Gauss, Jean-Denis Moyer, Stefan Wager and Julie Josse. Doubly Robust Treatment Effect Estimation with Missing Attributes. Annals of Applied Statistics, 14(3) 2020. [paper, arxiv]

Stefan Wager and Susan Athey. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests. Journal of the American Statistical Association, 113(523), 2018. [paper, arxiv]