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.
Authors
- Jungmo Yoon (ORCID: https://orcid.org/0000-0002-6686-4739)
- Zhongjun Qu
Institutions
- University of Finance and Economics (MN)
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
Funders
- National Research Foundation
- National Research Foundation of Korea