QTE.RD
Quantile Treatment Effects under the Regression Discontinuity Design
Provides comprehensive methods for testing, estimating, and conducting uniform inference on quantile treatment effects (QTEs) in sharp regression discontinuity (RD) designs, incorporating covariates and implementing robust bias correction methods of Qu, Yoon, Perron (2024) doi:10.1162/rest_a_01168.
- Version1.1.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Languageen-US
- Last release08/29/2024
Documentation
Team
Jungmo Yoon
Zhongjun Qu
Show author detailsRolesAuthor, Copyright holder
Insights
Last 30 days
This package has been downloaded 144 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
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Last 365 days
This package has been downloaded 1,966 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Aug 30, 2024 with 37 downloads.
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Dependencies
- Imports2 packages
- Suggests1 package