Inference in Regression Discontinuity Designs with Clustered Data
Fuente:
arXiv
Saved in:
| Main Authors: | Noack, Claudia, Olma, Tomasz, Rothe, Christoph |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Flexible Covariate Adjustments in Regression Discontinuity Designs
by: Noack, Claudia, et al.
Published: (2021)
by: Noack, Claudia, et al.
Published: (2021)
Semiparametric Inference for Regression-Discontinuity Designs
by: Jiang, Weiwei, et al.
Published: (2024)
by: Jiang, Weiwei, et al.
Published: (2024)
A Powerful Bootstrap Test of Independence in High Dimensions
by: Olivares, Mauricio, et al.
Published: (2025)
by: Olivares, Mauricio, et al.
Published: (2025)
PLRD: Partially Linear Regression Discontinuity Inference
by: Ghosh, Aditya, et al.
Published: (2025)
by: Ghosh, Aditya, et al.
Published: (2025)
Persuasion Effects in Regression Discontinuity Designs
by: Jun, Sung Jae, et al.
Published: (2025)
by: Jun, Sung Jae, et al.
Published: (2025)
Manipulation-Robust Regression Discontinuity Designs
by: Ishihara, Takuya, et al.
Published: (2020)
by: Ishihara, Takuya, et al.
Published: (2020)
Extrapolation in Regression Discontinuity Design Using Comonotonicity
by: Deaner, Ben, et al.
Published: (2025)
by: Deaner, Ben, et al.
Published: (2025)
Regression Discontinuity Design with Potentially Many Covariates
by: Arai, Yoichi, et al.
Published: (2021)
by: Arai, Yoichi, et al.
Published: (2021)
Noise-Induced Randomization in Regression Discontinuity Designs
by: Eckles, Dean, et al.
Published: (2020)
by: Eckles, Dean, et al.
Published: (2020)
Treatment Effect Heterogeneity in Regression Discontinuity Designs
by: Calonico, Sebastian, et al.
Published: (2025)
by: Calonico, Sebastian, et al.
Published: (2025)
The Regression Discontinuity Design in Medical Science
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
Safe Policy Learning under Regression Discontinuity Designs with Multiple Cutoffs
by: Zhang, Yi, et al.
Published: (2022)
by: Zhang, Yi, et al.
Published: (2022)
Local-Polynomial Estimation for Multivariate Regression Discontinuity Designs
by: Sawada, Masayuki, et al.
Published: (2024)
by: Sawada, Masayuki, et al.
Published: (2024)
Placebo Discontinuity Design
by: Singh, Rahul, et al.
Published: (2025)
by: Singh, Rahul, et al.
Published: (2025)
On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
by: Fang, Qin, et al.
Published: (2025)
by: Fang, Qin, et al.
Published: (2025)
A Practical Introduction to Regression Discontinuity Designs: Extensions
by: Cattaneo, Matias D., et al.
Published: (2023)
by: Cattaneo, Matias D., et al.
Published: (2023)
Clustered Covariate Regression
by: Soale, Abdul-Nasah, et al.
Published: (2023)
by: Soale, Abdul-Nasah, et al.
Published: (2023)
Estimation and Inference in Boundary Discontinuity Designs: Distance-Based Methods
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
Nonparametric Regression under Cluster Sampling
by: Shimizu, Yuya
Published: (2024)
by: Shimizu, Yuya
Published: (2024)
Automatic Inference for Value-Added Regressions
by: Xie, Tian
Published: (2025)
by: Xie, Tian
Published: (2025)
Boundary Discontinuity Designs: Theory and Practice
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
Effect Identification and Unit Categorization in the Multi-Score Regression Discontinuity Design with Application to LED Manufacturing
by: Schwarz, Philipp Alexander, et al.
Published: (2025)
by: Schwarz, Philipp Alexander, et al.
Published: (2025)
Distributional Discontinuity Design
by: Schindl, Kyle, et al.
Published: (2026)
by: Schindl, Kyle, et al.
Published: (2026)
Estimation and Inference in Boundary Discontinuity Designs: Location-Based Methods
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
Inference for Cluster Randomized Experiments with Non-ignorable Cluster Sizes
by: Bugni, Federico, et al.
Published: (2022)
by: Bugni, Federico, et al.
Published: (2022)
Regression Discontinuity Design with Distribution-Valued Outcomes
by: Van Dijcke, David
Published: (2025)
by: Van Dijcke, David
Published: (2025)
Serial-Dependence and Persistence Robust Inference in Predictive Regressions
by: Pitarakis, Jean-Yves
Published: (2025)
by: Pitarakis, Jean-Yves
Published: (2025)
A Note on Doubly Robust Estimator in Regression Discontinuity Designs
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Robust Semiparametric Inference for Bayesian Additive Regression Trees
by: Breunig, Christoph, et al.
Published: (2025)
by: Breunig, Christoph, et al.
Published: (2025)
Inference in Cluster Randomized Trials with Matched Pairs
by: Bai, Yuehao, et al.
Published: (2022)
by: Bai, Yuehao, et al.
Published: (2022)
Linear Regressions with Combined Data
by: D'Haultfoeuille, Xavier, et al.
Published: (2024)
by: D'Haultfoeuille, Xavier, et al.
Published: (2024)
Robust Inference for Multiple Predictive Regressions with an Application on Bond Risk Premia
by: Liao, Xiaosai, et al.
Published: (2024)
by: Liao, Xiaosai, et al.
Published: (2024)
Non-parametric Quantile Regression and Uniform Inference with Unknown Error Distribution
by: Hou, Haoze, et al.
Published: (2025)
by: Hou, Haoze, et al.
Published: (2025)
Estimation and Inference for Causal Functions with Multiway Clustered Data
by: Liu, Nan, et al.
Published: (2024)
by: Liu, Nan, et al.
Published: (2024)
Causal Inference in Counterbalanced Within-Subjects Designs
by: Ho, Justin, et al.
Published: (2025)
by: Ho, Justin, et al.
Published: (2025)
Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions
by: Hecq, Alain, et al.
Published: (2023)
by: Hecq, Alain, et al.
Published: (2023)
Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data
by: Sacher, Szymon, et al.
Published: (2021)
by: Sacher, Szymon, et al.
Published: (2021)
Performance of Empirical Risk Minimization for Linear Regression with Dependent Data
by: Brownlees, Christian, et al.
Published: (2021)
by: Brownlees, Christian, et al.
Published: (2021)
Non-parametric Causal Inference in Dynamic Thresholding Designs
by: Ghosh, Aditya, et al.
Published: (2025)
by: Ghosh, Aditya, et al.
Published: (2025)
Experimental Design For Causal Inference Through An Optimization Lens
by: Zhao, Jinglong
Published: (2024)
by: Zhao, Jinglong
Published: (2024)
Similar Items
-
Flexible Covariate Adjustments in Regression Discontinuity Designs
by: Noack, Claudia, et al.
Published: (2021) -
Semiparametric Inference for Regression-Discontinuity Designs
by: Jiang, Weiwei, et al.
Published: (2024) -
A Powerful Bootstrap Test of Independence in High Dimensions
by: Olivares, Mauricio, et al.
Published: (2025) -
PLRD: Partially Linear Regression Discontinuity Inference
by: Ghosh, Aditya, et al.
Published: (2025) -
Persuasion Effects in Regression Discontinuity Designs
by: Jun, Sung Jae, et al.
Published: (2025)