QTE.RD: An R Package for Quantile Treatment Effects in Regression-Discontinuity Designs

The QTE.RD package provides methods to test, estimate, and conduct uniform inference on quantile treatment effects in sharp regression discontinuity designs, allowing for covariates, and implementing robust bias correction. The package offers four main functions for estimating quantile treatment effects and uniform confidence bands, testing hypotheses related to treatment effects, selecting bandwidths using cross-validation or mean squared error criteria, and visualizing the estimated effects and confidence bands. This note includes an empirical illustration of the package's functionality using data on the impact of tracking on student achievement.

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Publication Details

Journal
The R Journal
Published
2025-10-21
DOI
https://doi.org/10.32614/rj-2025-024
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

QTE.RD: An R Package for Quantile Treatment Effects in Regression-Discontinuity Designs

Jungmo Yoon, Zhongjun Qu
The R Journal
Advanced Causal Inference Techniques
article

QTE.RD: An R Package for Quantile Treatment Effects in Regression-Discontinuity Designs

Jungmo Yoon, Zhongjun Qu
article en

Abstract

The QTE.RD package provides methods to test, estimate, and conduct uniform inference on quantile treatment effects in sharp regression discontinuity designs, allowing for covariates, and implementing robust bias correction. The package offers four main functions for estimating quantile treatment effects and uniform confidence bands, testing hypotheses related to treatment effects, selecting bandwidths using cross-validation or mean squared error criteria, and visualizing the estimated effects and confidence bands. This note includes an empirical illustration of the package's functionality using data on the impact of tracking on student achievement.

The R JournalVol. 17(3)
University of Finance and Economics (MN)
National Research Foundation, National Research Foundation of Korea
Openalex Percentile: Top 65%
Advanced Causal Inference Techniques
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