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rdlocrand (version 0.7)

Local Randomization Methods for RD Designs

Description

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) for further methodological details.

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Install

install.packages('rdlocrand')

Monthly Downloads

696

Version

0.7

License

GPL-2

Maintainer

Gonzalo Vazquez-Bare

Last Published

August 1st, 2020

Functions in rdlocrand (0.7)

rdlocrand-package

rdlocrand: Local Randomization Methods for RD Designs
rdrbounds

Rosenbaum bounds for RD designs under local randomization
rdsensitivity

Sensitivity analysis for RD designs under local randomization
rdwinselect

Window selection for RD designs under local randomization
rdrandinf

Randomization Inference for RD Designs under Local Randomization