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Jeong-Yoon Lee edited this page Jan 28, 2021 · 6 revisions

Welcome to the CausalML wiki!

References

Heterogeneous Treatment Effect Estimation

  • DR-Learner: Kennedy, Edward H. "Optimal doubly robust estimation of heterogeneous causal effects." arXiv preprint arXiv:2004.14497 (2020) (paper, video)
  • Double ML: Chernozhukov, Victor, et al. “Double/Debiased Machine Learning for Treatment and Structural Parameters.” The Econometrics Journal, vol. 21, no. 1, Feb. 2018, pp. C1–68. DOI.org (Crossref), doi:10.1111/ectj.12097 (paper)

Policy Learning

  • Athey, Susan, and Stefan Wager. “Policy Learning With Observational Data.” Econometrica, vol. 89, no. 1, 2021, pp. 133–61. DOI.org (Crossref), doi:10.3982/ECTA15732.
  • Zhou, Zhengyuan, et al. Offline Multi-Action Policy Learning: Generalization and Optimization. Oct. 2018. arxiv.org (paper)

Surrogate Methods

  • Athey, Susan, et al. The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely. w26463, National Bureau of Economic Research, 18 Nov. 2019. www.nber.org, doi:10.3386/w26463.
  • Yang, Jeremy, et al. Targeting for Long-Term Outcomes. Oct. 2020. arxiv.org (paper)

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