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.

Version: 0.3
Depends: R (≥ 3.1)
Imports: AER, sandwich
Published: 2018-03-15
Author: Matias D. Cattaneo, Rocio Titiunik, Gonzalo Vazquez-Bare
Maintainer: Gonzalo Vazquez-Bare <gvazquez at umich.edu>
License: GPL-2
NeedsCompilation: no
In views: Econometrics
CRAN checks: rdlocrand results

Downloads:

Reference manual: rdlocrand.pdf
Package source: rdlocrand_0.3.tar.gz
Windows binaries: r-devel: rdlocrand_0.3.zip, r-release: rdlocrand_0.3.zip, r-oldrel: rdlocrand_0.3.zip
OS X binaries: r-release: rdlocrand_0.3.tgz, r-oldrel: rdlocrand_0.3.tgz
Old sources: rdlocrand archive

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