Instumental variables and two stage regression

Confounding! This scientist performed a miracle graph surgery intervention and you won’t believe what happened next

TODO. (Brito and Pearl 2012, 2002)


Brito, Carlos, and Judea Pearl. 2002. A New Identification Condition for Recursive Models With Correlated Errors.” Structural Equation Modeling: A Multidisciplinary Journal 9 (4): 459–74.
———. 2012. Generalized Instrumental Variables.” arXiv:1301.0560 [Cs], December.
Gelman, Andrew, and Xiao-Li Meng. 2004. Applied Bayesian Modeling and Causal Inference From Incomplete-Data Perspectives. John Wiley & Sons.
Kleibergen, Frank, and Eric Zivot. 1998. Bayesian and Classical Approaches to Instrumental Variables Regression.” 9812002. Econometrics. University Library of Munich, Germany.
Künzel, Sören R., Jasjeet S. Sekhon, Peter J. Bickel, and Bin Yu. 2019. Metalearners for Estimating Heterogeneous Treatment Effects Using Machine Learning.” Proceedings of the National Academy of Sciences 116 (10): 4156–65.
Lenkoski, Alex, Theo S. Eicher, and Adrian E. Raftery. 2014. Two-Stage Bayesian Model Averaging in Endogenous Variable Models.” Econometric Reviews 33 (1-4).
Mishler, Alan, and Edward Kennedy. 2021. FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes.” arXiv:2109.00173 [Cs, Stat], August.
Morgan, Stephen L., and Christopher Winship. 2015. Counterfactuals and Causal Inference. Cambridge University Press.
Rothenhäusler, Dominik, Nicolai Meinshausen, Peter Bühlmann, and Jonas Peters. 2020. Anchor Regression: Heterogeneous Data Meets Causality.” arXiv:1801.06229 [Stat], May.
Shalit, Uri, Fredrik D. Johansson, and David Sontag. 2017. Estimating Individual Treatment Effect: Generalization Bounds and Algorithms.” arXiv:1606.03976 [Cs, Stat], May.
Shi, Claudia, David M. Blei, and Victor Veitch. 2019. Adapting Neural Networks for the Estimation of Treatment Effects.” In Proceedings of the 33rd International Conference on Neural Information Processing Systems, 2507–17. Red Hook, NY, USA: Curran Associates Inc.
Shi, Dingjing, and Xin Tong. 2017. Bayesian Two-Stage Robust Causal Modeling with Instrumental Variables Using Student’s t Distributions. IntechOpen.
Zander, Benito van der, Johannes Textor, and Maciej Liskiewicz. 2015. Efficiently Finding Conditional Instruments for Causal Inference.” In Proceedings of the 24th International Conference on Artificial Intelligence, 3243–49. IJCAI’15. Buenos Aires, Argentina: AAAI Press.

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