Optimal Transport for Counterfactual Estimation: A Method for Causal Inference

Online Appendix

Authors

Arthur Charpentier

Emmanuel Flachaire

Ewen Gallic

This online appendix provides R codes to apply the methods presented in Charpentier, Flachaire, and Gallic (2023).

The working paper is available on https://arxiv.org/abs/2301.07755.

Charpentier, A., Flachaire, E. & Gallic, E. (2023). Optimal Transport for Counterfactual Estimation: A Method for Causal Inference . arXiv:2301.07755.
bib entry
@misc{https://doi.org/10.48550/arxiv.2301.07755,
  doi = {10.48550/ARXIV.2301.07755},
  url = {https://arxiv.org/abs/2301.07755},
  author = {Charpentier, Arthur and Flachaire, Emmanuel and Gallic, Ewen},
  keywords = {Econometrics (econ.EM), FOS: Economics and business, FOS: Economics and business},
  title = {Optimal Transport for Counterfactual Estimation: A Method for Causal Inference},
  publisher = {arXiv},
  year = {2023},
  copyright = {Creative Commons Attribution 4.0 International}
}

References

Charpentier, Arthur, Emmanuel Flachaire, and Ewen Gallic. 2023. “Causal Inference with Optimal Transport.” In Optimal Transport Statistics for Economics and Related Topics, edited by Nguyen Ngoc Thach, Vladik Kreinovich, Doan Thanh Ha, and Nguyen Duc Trung. Springer Verlag.