Kernel regression analysis of tie-breaker designs

DOI10.1214/23-EJS2102MaRDI QIDQ2683190

Art B. Owen, Dan M. Kluger

Publication date: 3 February 2023

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.09605

zbMATH Keywords

local linear regressioncausal inferenceexperimental designhybrid experimentsregression discontinuity designs

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Design of statistical experiments (62K99)

Related Items (1)

A general characterization of optimal tie-breaker designs

Uses Software

• KernSmooth
• mctoolbox
• pracma

Cites Work

• On automatic boundary corrections
• Information-regret compromise in covariate-adaptive treatment allocation
• Optimizing the tie-breaker regression discontinuity design
• Dealing with limited overlap in estimation of average treatment effects
• Optimal Bandwidth Choice for the Regression Discontinuity Estimator
• Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs
• Accuracy and Stability of Numerical Algorithms
• On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference
• Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs
• Breaking Ties: Regression Discontinuity Design Meets Market Design

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