@article{chernozhukov2018double,
  title={Double/debiased machine learning for treatment and structural parameters},
  author={Chernozhukov, Victor and Chetverikov, Denis and Demirer, Mert and Duflo, Esther and Hansen, Christian and Newey, Whitney and Robins, James},
  journal={The Econometrics Journal},
  volume={21},
  number={1},
  pages={C1--C68},
  year={2018},
  publisher={Wiley},
  doi={10.1111/ectj.12097}
}

@article{wager2018estimation,
  title={Estimation and inference of heterogeneous treatment effects using random forests},
  author={Wager, Stefan and Athey, Susan},
  journal={Journal of the American Statistical Association},
  volume={113},
  number={523},
  pages={1228--1242},
  year={2018},
  publisher={Taylor \& Francis},
  doi={10.1080/01621459.2017.1319839}
}

@article{callaway2021difference,
  title={Difference-in-differences with multiple time periods},
  author={Callaway, Brantly and Sant'Anna, Pedro H. C.},
  journal={Journal of Econometrics},
  volume={225},
  number={2},
  pages={200--230},
  year={2021},
  publisher={Elsevier},
  doi={10.1016/j.jeconom.2020.12.001}
}

@article{goodman2021difference,
  title={Difference-in-differences with variation in treatment timing},
  author={Goodman-Bacon, Andrew},
  journal={Journal of Econometrics},
  volume={225},
  number={2},
  pages={254--277},
  year={2021},
  publisher={Elsevier},
  doi={10.1016/j.jeconom.2021.03.014}
}

@article{sun2021estimating,
  title={Estimating dynamic treatment effects in event studies with heterogeneous treatment effects},
  author={Sun, Liyang and Abraham, Sarah},
  journal={Journal of Econometrics},
  volume={225},
  number={2},
  pages={175--199},
  year={2021},
  publisher={Elsevier},
  doi={10.1016/j.jeconom.2020.09.006}
}

@article{calonico2014robust,
  title={Robust nonparametric confidence intervals for regression-discontinuity designs},
  author={Calonico, Sebastian and Cattaneo, Matias D. and Titiunik, Roc{\'\i}o},
  journal={Econometrica},
  volume={82},
  number={6},
  pages={2295--2326},
  year={2014},
  publisher={Wiley},
  doi={10.3982/ECTA11757}
}

@article{abadie2010synthetic,
  title={Synthetic control methods for comparative case studies: Estimating the effect of {California}'s tobacco control program},
  author={Abadie, Alberto and Diamond, Alexis and Hainmueller, Jens},
  journal={Journal of the American Statistical Association},
  volume={105},
  number={490},
  pages={493--505},
  year={2010},
  publisher={Taylor \& Francis},
  doi={10.1198/jasa.2009.ap08746}
}

@article{arkhangelsky2021synthetic,
  title={Synthetic difference-in-differences},
  author={Arkhangelsky, Dmitry and Athey, Susan and Hirshberg, David A. and Imbens, Guido W. and Wager, Stefan},
  journal={American Economic Review},
  volume={111},
  number={12},
  pages={4088--4118},
  year={2021},
  publisher={American Economic Association},
  doi={10.1257/aer.20190159}
}

@article{rosenbaum1983central,
  title={The central role of the propensity score in observational studies for causal effects},
  author={Rosenbaum, Paul R. and Rubin, Donald B.},
  journal={Biometrika},
  volume={70},
  number={1},
  pages={41--55},
  year={1983},
  publisher={Oxford University Press},
  doi={10.1093/biomet/70.1.41}
}

@article{kunzel2019metalearners,
  title={Metalearners for estimating heterogeneous treatment effects using machine learning},
  author={K{\"u}nzel, S{\"o}ren R. and Sekhon, Jasjeet S. and Bickel, Peter J. and Yu, Bin},
  journal={Proceedings of the National Academy of Sciences},
  volume={116},
  number={10},
  pages={4156--4165},
  year={2019},
  publisher={National Academy of Sciences},
  doi={10.1073/pnas.1804597116}
}

@book{vanderlaan2011targeted,
  title={Targeted Learning: Causal Inference for Observational and Experimental Data},
  author={van der Laan, Mark J. and Rose, Sherri},
  year={2011},
  publisher={Springer},
  series={Springer Series in Statistics},
  doi={10.1007/978-1-4419-9782-1}
}

@article{cinelli2020making,
  title={Making sense of sensitivity: Extending omitted variable bias},
  author={Cinelli, Carlos and Hazlett, Chad},
  journal={Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
  volume={82},
  number={1},
  pages={39--67},
  year={2020},
  publisher={Wiley},
  doi={10.1111/rssb.12348}
}

@inproceedings{zheng2018dags,
  title={{DAGs} with {NO TEARS}: Continuous optimization for structure learning},
  author={Zheng, Xun and Aragam, Bryon and Ravikumar, Pradeep K. and Xing, Eric P.},
  booktitle={Advances in Neural Information Processing Systems},
  volume={31},
  year={2018}
}

@article{hahn2020bayesian,
  title={Bayesian regression tree models for causal inference: Regularization, confounding, and heterogeneous effects (with discussion)},
  author={Hahn, P. Richard and Murray, Jared S. and Carvalho, Carlos M.},
  journal={Bayesian Analysis},
  volume={15},
  number={3},
  pages={965--1056},
  year={2020},
  publisher={International Society for Bayesian Analysis},
  doi={10.1214/19-BA1195}
}

@article{athey2021matrix,
  title={Matrix completion methods for causal panel data models},
  author={Athey, Susan and Bayati, Mohsen and Doudchenko, Nikolay and Imbens, Guido and Khosravi, Khashayar},
  journal={Journal of the American Statistical Association},
  volume={116},
  number={536},
  pages={1716--1730},
  year={2021},
  publisher={Taylor \& Francis},
  doi={10.1080/01621459.2021.1891924}
}

@article{athey2021policy,
  title={Policy learning with observational data},
  author={Athey, Susan and Wager, Stefan},
  journal={Econometrica},
  volume={89},
  number={1},
  pages={133--161},
  year={2021},
  publisher={Wiley},
  doi={10.3982/ECTA15732}
}

@inproceedings{shalit2017estimating,
  title={Estimating individual treatment effect: Generalization bounds and algorithms},
  author={Shalit, Uri and Johansson, Fredrik D. and Sontag, David},
  booktitle={Proceedings of the 34th International Conference on Machine Learning},
  pages={3076--3085},
  year={2017}
}

@inproceedings{shi2019adapting,
  title={Adapting neural networks for the estimation of treatment effects},
  author={Shi, Claudia and Blei, David and Veitch, Victor},
  booktitle={Advances in Neural Information Processing Systems},
  volume={32},
  year={2019}
}

@book{spirtes2000causation,
  title={Causation, Prediction, and Search},
  author={Spirtes, Peter and Glymour, Clark and Scheines, Richard},
  year={2000},
  edition={2nd},
  publisher={MIT Press}
}

@article{lei2021conformal,
  title={Conformal inference of counterfactuals and individual treatment effects},
  author={Lei, Lihua and Cand{\`e}s, Emmanuel J.},
  journal={Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
  volume={83},
  number={5},
  pages={911--938},
  year={2021},
  publisher={Wiley},
  doi={10.1111/rssb.12445}
}

@incollection{hirano2004propensity,
  title={The propensity score with continuous treatments},
  author={Hirano, Keisuke and Imbens, Guido W.},
  booktitle={Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives},
  pages={73--84},
  year={2004},
  publisher={Wiley}
}

@article{cattaneo2010efficient,
  title={Efficient semiparametric estimation of multi-valued treatment effects under ignorability},
  author={Cattaneo, Matias D.},
  journal={Journal of Econometrics},
  volume={155},
  number={2},
  pages={138--154},
  year={2010},
  publisher={Elsevier},
  doi={10.1016/j.jeconom.2009.09.023}
}

@article{lee2009training,
  title={Training, wages, and sample selection: Estimating sharp bounds on treatment effects},
  author={Lee, David S.},
  journal={Review of Economic Studies},
  volume={76},
  number={3},
  pages={1071--1102},
  year={2009},
  publisher={Oxford University Press},
  doi={10.1111/j.1467-937X.2009.00536.x}
}

@article{manski1990nonparametric,
  title={Nonparametric bounds on treatment effects},
  author={Manski, Charles F.},
  journal={American Economic Review},
  volume={80},
  number={2},
  pages={319--323},
  year={1990},
  publisher={American Economic Association}
}

@article{hudgens2008toward,
  title={Toward causal inference with interference},
  author={Hudgens, Michael G. and Halloran, M. Elizabeth},
  journal={Journal of the American Statistical Association},
  volume={103},
  number={482},
  pages={832--842},
  year={2008},
  publisher={Taylor \& Francis},
  doi={10.1198/016214508000000292}
}

@incollection{robins2004optimal,
  title={Optimal structural nested models for optimal sequential decisions},
  author={Robins, James M.},
  booktitle={Proceedings of the Second Seattle Symposium in Biostatistics},
  pages={189--326},
  year={2004},
  publisher={Springer},
  doi={10.1007/978-1-4419-9076-1_11}
}

@article{kleven2013using,
  title={Using notches to uncover optimization frictions and structural elasticities: Theory and evidence from {Pakistan}},
  author={Kleven, Henrik J. and Waseem, Mazhar},
  journal={Quarterly Journal of Economics},
  volume={128},
  number={2},
  pages={669--723},
  year={2013},
  publisher={Oxford University Press},
  doi={10.1093/qje/qjt004}
}

@article{vanderweele2017sensitivity,
  title={Sensitivity analysis in observational research: Introducing the {E}-value},
  author={VanderWeele, Tyler J. and Ding, Peng},
  journal={Annals of Internal Medicine},
  volume={167},
  number={4},
  pages={268--274},
  year={2017},
  publisher={American College of Physicians},
  doi={10.7326/M16-2607}
}

@article{oster2019unobservable,
  title={Unobservable selection and coefficient stability: Theory and evidence},
  author={Oster, Emily},
  journal={Journal of Business \& Economic Statistics},
  volume={37},
  number={2},
  pages={187--204},
  year={2019},
  publisher={Taylor \& Francis},
  doi={10.1080/07350015.2016.1227711}
}

@article{simonsohn2020specification,
  title={Specification curve analysis},
  author={Simonsohn, Uri and Simmons, Joseph P. and Nelson, Leif D.},
  journal={Nature Human Behaviour},
  volume={4},
  number={11},
  pages={1208--1214},
  year={2020},
  publisher={Nature Publishing Group},
  doi={10.1038/s41562-020-0912-z}
}

@article{dechaisemartin2020two,
  title={Two-way fixed effects estimators with heterogeneous treatment effects},
  author={de Chaisemartin, Cl{\'e}ment and D'Haultf{\oe}uille, Xavier},
  journal={American Economic Review},
  volume={110},
  number={9},
  pages={2964--2996},
  year={2020},
  publisher={American Economic Association},
  doi={10.1257/aer.20181169}
}

@article{borusyak2024revisiting,
  title={Revisiting event-study designs: Robust and efficient estimation},
  author={Borusyak, Kirill and Jaravel, Xavier and Spiess, Jann},
  journal={Review of Economic Studies},
  volume={91},
  number={6},
  pages={3253--3285},
  year={2024},
  publisher={Oxford University Press},
  doi={10.1093/restud/rdae007}
}

@article{rambachan2023more,
  title={A more credible approach to parallel trends},
  author={Rambachan, Ashesh and Roth, Jonathan},
  journal={Review of Economic Studies},
  volume={90},
  number={5},
  pages={2555--2591},
  year={2023},
  publisher={Oxford University Press},
  doi={10.1093/restud/rdad018}
}

@article{mccrary2008manipulation,
  title={Manipulation of the running variable in the regression discontinuity design: A density test},
  author={McCrary, Justin},
  journal={Journal of Econometrics},
  volume={142},
  number={2},
  pages={698--714},
  year={2008},
  publisher={Elsevier},
  doi={10.1016/j.jeconom.2007.05.005}
}

@article{cattaneo2024multi,
  title={Analysis of regression-discontinuity designs with multiple cutoffs or multiple scores},
  author={Cattaneo, Matias D. and Keele, Luke and Titiunik, Roc{\'\i}o and Vazquez-Bare, Gonzalo},
  journal={Journal of Econometrics},
  volume={238},
  number={1},
  pages={105546},
  year={2024},
  publisher={Elsevier},
  doi={10.1016/j.jeconom.2023.105546}
}

@article{keele2015geographic,
  title={Geographic boundaries as regression discontinuities},
  author={Keele, Luke J. and Titiunik, Roc{\'\i}o},
  journal={Political Analysis},
  volume={23},
  number={1},
  pages={127--155},
  year={2015},
  publisher={Cambridge University Press},
  doi={10.1093/pan/mpu014}
}

@article{xu2017generalized,
  title={Generalized synthetic control method: Causal inference with interactive fixed effects models},
  author={Xu, Yiqing},
  journal={Political Analysis},
  volume={25},
  number={1},
  pages={57--76},
  year={2017},
  publisher={Cambridge University Press},
  doi={10.1017/pan.2016.2}
}

@inproceedings{hartford2017deep,
  title={Deep {IV}: A flexible approach for counterfactual prediction},
  author={Hartford, Jason and Lewis, Greg and Leyton-Brown, Kevin and Taddy, Matt},
  booktitle={Proceedings of the 34th International Conference on Machine Learning},
  pages={1414--1423},
  year={2017}
}

@article{kennedy2023towards,
  title={Towards optimal doubly robust estimation of heterogeneous causal effects},
  author={Kennedy, Edward H.},
  journal={Electronic Journal of Statistics},
  volume={17},
  number={2},
  pages={3008--3049},
  year={2023},
  publisher={Institute of Mathematical Statistics},
  doi={10.1214/23-EJS2157}
}

@article{berry1995automobile,
  title={Automobile prices in market equilibrium},
  author={Berry, Steven and Levinsohn, James and Pakes, Ariel},
  journal={Econometrica},
  volume={63},
  number={4},
  pages={841--890},
  year={1995},
  publisher={Wiley},
  doi={10.2307/2171802}
}

@book{angrist2009mostly,
  title={Mostly Harmless Econometrics: An Empiricist's Companion},
  author={Angrist, Joshua D. and Pischke, J{\"o}rn-Steffen},
  year={2009},
  publisher={Princeton University Press},
  isbn={978-0-691-12035-5}
}

@book{imbens2015causal,
  title={Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction},
  author={Imbens, Guido W. and Rubin, Donald B.},
  year={2015},
  publisher={Cambridge University Press},
  isbn={978-0-521-88588-1}
}

@article{sharma2020dowhy,
  title={{DoWhy}: An end-to-end library for causal inference},
  author={Sharma, Amit and Kiciman, Emre},
  journal={arXiv preprint arXiv:2011.04216},
  year={2020}
}

@misc{econml,
  title={{EconML}: A {Python} Package for {ML}-Based Heterogeneous Treatment Effects Estimation},
  author={{Microsoft Research}},
  year={2019},
  url={https://github.com/py-why/EconML}
}

@article{chen2020causalml,
  title={{CausalML}: {Python} package for causal machine learning},
  author={Chen, Huigang and Harinen, Totte and Li, Jeong-Yoon and Yung, Liang and Zhao, Zhenyu},
  journal={arXiv preprint arXiv:2002.11631},
  year={2020}
}
