Research In Progress

1. U-Process M-Estimation: Distribution Theory and Bootstrap Inference, with Michael Jansson and Kenichi Nagasawa.
   Supplemental
2. Regression Discontinuity Designs: Best Practices for Empirical Research, with Rocio Titiunik.
   Journal of Economic Perspectives, invited article.
3. The Regression Discontinuity Design in Medical Science, with Rocio Titiunik.
   Journal of American Medical Association, invited article.
4. Cluster Robust Inference in Linear Regression Models with Many Covariates, with Aibo Gong, Michael Jansson and Whitney Newey.
   Supplemental | Replication
5. Causal Treatment Effect Aggregation in Boundary Discontinuity Designs, with Rocio Titiunik and Rae Yu.
   Supplemental | Replication | Software | Slides
6. Robust Inference for Convex Pairwise Difference Estimators, with Michael Jansson and Kenichi Nagasawa.
7. Mean Square Convergence of the EM Algorithm for High-Dimensional Gaussian Mixture Models, with Rajita Chandak and Jason Klusowski.
   Replication
8. Treatment Effect Heterogeneity in Regression Discontinuity Designs, with Sebastian Calonico, Max Farrell, Filippo Palomba and Rocio Titiunik.
   Supplemental | Replication | Software
9. Estimation and Inference in Boundary Discontinuity Designs, with Rocio Titiunik and Rae Yu.
   Supplemental | Replication | Software | Slides
10. Robust Inference for the Direct Average Treatment Effect with Treatment Assignment Interference, with Yihan He and Rae Yu.
    Supplemental | Replication
11. Sharp Anti-Concentration Inequalities for Extremum Statistics via Copulas, with Ricardo Masini and William Underwood.
12. The Effect of Mini-Batch Noise on the Best Adam(W) Hyperparameters, with Boris Shigida.
    Replication
13. How Memory in Optimization Algorithms Implicitly Modifies the Loss, with Boris Shigida.
    Replication
14. Continuity of the Distribution Function of the argmax of a Gaussian Process, with Gregory Cox, Michael Jansson and Kenichi Nagasawa.
15. Uniform Estimation and Inference for Nonparametric Partitioning-Based M-Estimators, with Yingjie Feng and Boris Shigida.
    Supplemental
16. Nonlinear Binscatter Methods, with Richard Crump, Max Farrell and Yingjie Feng.
    Supplemental | Replication | Software | Slides
17. Beta-Sorted Portfolios, with Richard Crump and Weining Wang.
    Supplemental | Replication
18. Inference with Mondrian Random Forests, with Jason Klusowski and William Underwood.
    Replication | Julia package
19. Attention Overload, with Paul Cheung, Xinwei Ma and Yusufcan Masatlioglu.
    Supplemental | Replication | CRAN | Manual
20. On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation, with Jason Klusowski and Peter Tian.
    Slides
21. Randomization Inference for Before-and-After Studies with Multiple Units: An Application to a Criminal Procedure Reform in Uruguay, with Carlos Diaz and Rocio Titiunik.
    Replication
22. Leveraging Covariates in Regression Discontinuity Designs, with Filippo Palomba.
    IZA World of Labor, invited article.
    Replication
23. mvte: Estimation and Inference for Multi-valued Treatment Effects, with Sebastian Calonico and David Drukker.
    Software
24. rd2d: Causal Inference in Boundary Discontinuity Designs, with Rocio Titiunik and Rae Yu.
    Replication | Software
25. rdhte: Conditional Average Treatment Effects in RD Designs, with Sebastian Calonico, Max Farrell, Filippo Palomba and Rocio Titiunik.
    Software