Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs with the Uniform Kernel
This repository has the LaTeX and R source code for the paper, "Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs with the Uniform Kernel," by Otávio Bartalotti, Gray Calhoun, and Yang He.
The datasets in
R/LM2007data were originally downloaded from Doug
were used for the paper,
- Ludwig, Jens and Douglas L. Miller. 2007. “Does Head Start Improve Children’s Life Chances? Evidence from a Regression Discontinuity Design.” Quarterly Journal of Economics 122 (1):159– 208.
Researchers interested in using the data for their own work should get it from there, since it is far more likely to be complete and current than ours.
Rerunning analysis and building the pdf
The R script
R/run_everything.R runs all of the R code necessary for
the simulations and empirical exercise presented in the paper. It must
be run from the
R subdirectory and it will call all of the other
scripts in that directory.
You can generate the pdf by calling
bibtex on the
main_paper.tex repeatedly as usual.
Please contact the authors if you have questions or find errors and bugs:
- Otávio Bartalotti: firstname.lastname@example.org
- Gray Calhoun: email@example.com
- Yang He: firstname.lastname@example.org
License and copying
Copyright (c) 2016, Otávio Bartalotti, Gray Calhoun, and Yang He.
All of the R code in the
R directory is licensed under the MIT
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.