:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Swartzentruber, Daryl, Kaizar, Eloise
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2503.04904
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Small Study Regression Discontinuity Designs: Density Inclusive Study Size Metric and Performance
by: Swartzentruber, Daryl, et al.
Published: (2022)

PLRD: Partially Linear Regression Discontinuity Inference
by: Ghosh, Aditya, et al.
Published: (2025)

Local-Polynomial Estimation for Multivariate Regression Discontinuity Designs
by: Sawada, Masayuki, et al.
Published: (2024)

Protocols for Observational Studies: An Application to Regression Discontinuity Designs
by: Cattaneo, Matias D., et al.
Published: (2024)

Regression Discontinuity Designs Under Interference
by: Torrione, Elena Dal, et al.
Published: (2024)

Persuasion Effects in Regression Discontinuity Designs
by: Jun, Sung Jae, et al.
Published: (2025)

Manipulation-Robust Regression Discontinuity Designs
by: Ishihara, Takuya, et al.
Published: (2020)

Semiparametric Inference for Regression-Discontinuity Designs
by: Jiang, Weiwei, et al.
Published: (2024)

A Note on Doubly Robust Estimator in Regression Discontinuity Designs
by: Kato, Masahiro
Published: (2024)

The Regression Discontinuity Design in Medical Science
by: Cattaneo, Matias D., et al.
Published: (2025)

Extrapolation in Regression Discontinuity Design Using Comonotonicity
by: Deaner, Ben, et al.
Published: (2025)

Treatment Effect Heterogeneity in Regression Discontinuity Designs
by: Calonico, Sebastian, et al.
Published: (2025)

Inference in Regression Discontinuity Designs with Clustered Data
by: Noack, Claudia, et al.
Published: (2026)

Regression Discontinuity Design with Potentially Many Covariates
by: Arai, Yoichi, et al.
Published: (2021)

Noise-Induced Randomization in Regression Discontinuity Designs
by: Eckles, Dean, et al.
Published: (2020)

Selecting Subpopulations for Causal Inference in Regression Discontinuity Designs
by: Forastiere, Laura, et al.
Published: (2022)

Donor's Deferral and Return Behavior: Partial Identification from a Regression Discontinuity Design with Manipulation
by: Rosenman, Evan, et al.
Published: (2019)

Density Discontinuity Regression
by: Tokdar, Surya T, et al.
Published: (2025)

Nonparametric Regression Discontinuity Designs with Survival Outcomes
by: Schuessler, Maximilian, et al.
Published: (2026)

Modified BART for Learning Heterogeneous Effects in Regression Discontinuity Designs
by: Alcantara, Rafael, et al.
Published: (2024)

Hierarchical Regression Discontinuity Design: Pursuing Subgroup Treatment Effects
by: Sugasawa, Shonosuke, et al.
Published: (2023)

A Practical Introduction to Regression Discontinuity Designs: Extensions
by: Cattaneo, Matias D., et al.
Published: (2023)

On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
by: Fang, Qin, et al.
Published: (2025)

Safe Policy Learning under Regression Discontinuity Designs with Multiple Cutoffs
by: Zhang, Yi, et al.
Published: (2022)

Regression Discontinuity Design with Distribution-Valued Outcomes
by: Van Dijcke, David
Published: (2025)

Improving Disease Risk Estimation in Small Areas by Accounting for Spatiotemporal Local Discontinuities
by: Santafé, G., et al.
Published: (2025)

Direct Bayesian Additive Regression Trees for Conditional Average Treatment Effects in Regression Discontinuity Designs
by: Kondo, Daisuke, et al.
Published: (2026)

Multilevel Regression Discontinuity Models with Latent Variables
by: Morell, Monica, et al.
Published: (2026)

A Bayesian Additive Regression Tree Model for Learning Conditional Average Treatment Effects in Regression Discontinuity Designs
by: Alcantara, Rafael, et al.
Published: (2025)

The Causal Effect of the Two-For-One Strategy in the National Basketball Association
by: Sasan, Prateek, et al.
Published: (2024)

Mixture Quantiles Estimated by Constrained Linear Regression
by: Peng, Cheng, et al.
Published: (2023)

Linear Regression: Inference Based on Cluster Estimates
by: Dey, Subhodeep, et al.
Published: (2026)

Placebo Discontinuity Design
by: Singh, Rahul, et al.
Published: (2025)

Estimation and Inference in Boundary Discontinuity Designs: Distance-Based Methods
by: Cattaneo, Matias D., et al.
Published: (2025)

Estimands for Randomized Discontinuation Designs in Oncology
by: Mukherjee, Ayon, et al.
Published: (2025)

Regression Discontinuity Designs for Functional Data and Random Objects in Geodesic Spaces
by: Kurisu, Daisuke, et al.
Published: (2025)

Estimating the Partially Linear Zero-Inflated Poisson Regression Model: a Robust Approach Using a EM-like Algorithm
by: Llop, María José, et al.
Published: (2026)

Generalized Ridge Regression: Biased Estimation for Multiple Linear Regression Models
by: Gómez, Román Salmerón, et al.
Published: (2024)

Estimation and Inference in Boundary Discontinuity Designs: Location-Based Methods
by: Cattaneo, Matias D., et al.
Published: (2025)

Distributional Discontinuity Design
by: Schindl, Kyle, et al.
Published: (2026)