References

Abadie, Alberto, and Jann Spiess. 2021. “Robust Post-Matching Inference.” Journal of the American Statistical Association, 1–13.
Athey, Susan, Julie Tibshirani, Stefan Wager, et al. 2019. “Generalized Random Forests.” Annals of Statistics 47 (2): 1148–78.
Bach, Philipp, Victor Chernozhukov, Malte S. Kurz, and Martin Spindler. 2022. DoubleML: Double Machine Learning in r.
Blair, Graeme, Jasper Cooper, Alexander Coppock, Macartan Humphreys, and Luke Sonnet. 2022a. Estimatr: Fast Estimators for Design-Based Inference.
———. 2022b. Estimatr: Fast Estimators for Design-Based Inference. https://CRAN.R-project.org/package=estimatr.
Callaway, Brantly, and Pedro HC Sant’Anna. 2020. “Difference-in-Differences with Multiple Time Periods.” Journal of Econometrics.
Calonico, Sebastian, Matias D. Cattaneo, Max H. Farrell, and Rocio Titiunik. 2021. Rdrobust: Robust Data-Driven Statistical Inference in Regression-Discontinuity Designs. https://CRAN.R-project.org/package=rdrobust.
Cattaneo, Matias D, Brigham R Frandsen, and Rocio Titiunik. 2015. “Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the US Senate.” Journal of Causal Inference 3 (1): 1–24.
Cattaneo, Matias D, Nicolás Idrobo, and Rocı́o Titiunik. 2019a. A Practical Introduction to Regression Discontinuity Designs: Extensions. Cambridge University Press.
———. 2019b. A Practical Introduction to Regression Discontinuity Designs: Foundations. Cambridge University Press.
Chernozhukov, Victor, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney Newey, and James Robins. 2018. “Double/Debiased Machine Learning for Treatment and Structural Parameters: Double/Debiased Machine Learning.” The Econometrics Journal 21 (1).
Freedman, David A et al. 2008. “On Regression Adjustments in Experiments with Several Treatments.” Annals of Applied Statistics 2 (1): 176–96.
Freedman, David A. 2008. “On Regression Adjustments to Experimental Data.” Advances in Applied Mathematics 40 (2): 180–93.
Friedman, Jerome, Trevor Hastie, Rob Tibshirani, Balasubramanian Narasimhan, Kenneth Tay, Noah Simon, and James Yang. 2021. Glmnet: Lasso and Elastic-Net Regularized Generalized Linear Models. https://CRAN.R-project.org/package=glmnet.
Gelman, Andrew, and Guido Imbens. 2019. “Why High-Order Polynominals Should Not Be Used in Regression Discontinuity Designs.” Journal of Business and Econmomic Statistics 37 (3): 447–56.
Ho, Daniel E., Kosuke Imai, Gary King, and Elizabeth A. Stuart. 2011. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference.” Journal of Statistical Software 42 (8): 1–28. https://doi.org/10.18637/jss.v042.i08.
Ho, Daniel E, Kosuke Imai, Gary King, and Elizabeth A Stuart. 2007. “Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference.” Political Analysis 15 (3): 199–236.
Iacus, Stefano M, Gary King, and Giuseppe Porro. 2012. “Causal Inference Without Balance Checking: Coarsened Exact Matching.” Political Analysis, 1–24.
Kleiber, Christian, and Achim Zeileis. 2008. Applied Econometrics with R. New York: Springer-Verlag. https://CRAN.R-project.org/package=AER.
Lin, Winston et al. 2013. “Agnostic Notes on Regression Adjustments to Experimental Data: Reexamining Freedman’s Critique.” Annals of Applied Statistics 7 (1): 295–318.
Robins, James M, and Andrea Rotnitzky. 1995. “Semiparametric Efficiency in Multivariate Regression Models with Missing Data.” Journal of the American Statistical Association 90 (429): 122–29.
Robinson, Peter. 1988. “Root-n-Consistent Semiparametric Regression.” Econometrica 56 (4): 931–54.
Sjoberg, Daniel D., Michael Curry, Joseph Larmarange, Jessica Lavery, Karissa Whiting, and Emily C. Zabor. 2022. Gtsummary: Presentation-Ready Data Summary and Analytic Result Tables. https://CRAN.R-project.org/package=gtsummary.
Van der Laan, Mark J, Eric C Polley, and Alan E Hubbard. 2007. “Super Learner.” Statistical Applications in Genetics and Molecular Biology 6 (1).
Wager, Stefan, and Susan Athey. 2018. “Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests.” Journal of the American Statistical Association 113 (523): 1228–42.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.
Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2021. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://CRAN.R-project.org/package=ggplot2.