rdlocrand - Local Randomization Methods for RD Designs
The regression discontinuity (RD) design is a popular
quasi-experimental design for causal inference and policy
evaluation. Under the local randomization approach, RD designs
can be interpreted as randomized experiments inside a window
around the cutoff. This package provides tools to perform
randomization inference for RD designs under local
randomization: rdrandinf() to perform hypothesis testing using
randomization inference, rdwinselect() to select a window
around the cutoff in which randomization is likely to hold,
rdsensitivity() to assess the sensitivity of the results to
different window lengths and null hypotheses and rdrbounds() to
construct Rosenbaum bounds for sensitivity to unobserved
confounders. See Cattaneo, Titiunik and Vazquez-Bare (2016)
<https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2016_Stata.pdf>
for further methodological details.
