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2. Randomization Inference for Before-and-After Studies with Multiple Units: An Application to a Criminal Procedure Reform in Uruguay

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3. Uniform Estimation and Inference for Nonparametric Partitioning-Based M-Estimators

4. Nonlinear Binscatter Methods

5. Strong Approximations for Empirical Processes Indexed by Lipschitz Functions

6. Protocols for Observational Studies: An Application to Regression Discontinuity Designs

7. On Rosenbaum's Rank-based Matching Estimator

8. Inference with Mondrian Random Forests

9. On the Implicit Bias of Adam

11. Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)

12. Bootstrap-Assisted Inference for Generalized Grenander-type Estimators

13. A Guide to Regression Discontinuity Designs in Medical Applications

14. A Practical Introduction to Regression Discontinuity Designs: Extensions

15. Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators

16. On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation

17. Convergence Rates of Oblique Regression Trees for Flexible Function Libraries

18. Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption

19. Yurinskii's Coupling for Martingales

20. Beta-Sorted Portfolios

22. lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators

23. Boundary Adaptive Local Polynomial Conditional Density Estimators

24. scpi: Uncertainty Quantification for Synthetic Control Methods

25. Uniform Inference for Kernel Density Estimators with Dyadic Data

26. Attention Overload

27. Covariate Adjustment in Regression Discontinuity Designs

28. Regression Discontinuity Designs

30. Local Regression Distribution Estimators

32. Analysis of Regression Discontinuity Designs with Multiple Cutoffs or Multiple Scores

33. Prediction Intervals for Synthetic Control Methods

34. A Practical Introduction to Regression Discontinuity Designs: Foundations

35. lpdensity: Local Polynomial Density Estimation and Inference

36. The Regression Discontinuity Design

37. nprobust: Nonparametric Kernel-Based Estimation and Robust Bias-Corrected Inference

38. lspartition: Partitioning-Based Least Squares Regression

39. Average Density Estimators: Efficiency and Bootstrap Consistency

40. Binscatter Regressions

41. On Binscatter

42. Simple Local Polynomial Density Estimators

43. A Random Attention Model

44. Bootstrap‐Based Inference for Cube Root Asymptotics

46. Simple Local Polynomial Density Estimators

47. Regression Discontinuity Designs Using Covariates

48. Characteristic-Sorted Portfolios: Estimation and Inference

49. Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs

50. Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs