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rdlocrand

Local Randomization Methods for RD Designs

Installation

About

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.

Key Metrics

Version 1.0
R ≥ 3.1
Published 2022-06-21 837 days ago
Needs compilation? no
License GPL-2
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Maintainer

Maintainer

Gonzalo Vazquez-Bare

Authors

Matias D. Cattaneo
Rocio Titiunik
Gonzalo Vazquez-Bare

Material

Reference manual
Package source

In Views

Econometrics

macOS

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arm64

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Windows

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Depends

R ≥ 3.1

Imports

AER
sandwich