Local Randomization Methods for RD Designs
Project description
rdlocrand: 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. The rdlocrand package provides tools to analyze RD designs under local randomization:
rdrandinfto perform hypothesis testing using randomization inference.rdwinselectto select a window around the cutoff in which randomization is likely to hold.rdsensitivityto assess the sensitivity of the results to different window lengths and null hypotheses.rdrboundsto construct Rosenbaum bounds for sensitivity to unobserved confounders.
For more details, and related Stata and R packages useful for the analysis of RD designs, visit https://rdpackages.github.io/.
Author
Matias Cattaneo, Princeton University. Email: cattaneo@princeton.edu
Rocio Titiunik, Princeton University. Email: titiunik@princeton.edu
Ricardo Masini, UC Davis. Email: rmasini@ucdavis.edu
Gonzalo Vazquez-Bare, UC Santa Barbara. Email: gvazquez@econ.ucsb.edu
Installation
To install/update use pip
pip install rdlocrand
Usage
from rdlocrand import rdrandinf, rdwinselect, rdsensitivity, rdrbounds
References
For overviews and introductions, see rdpackages website.
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Cattaneo, M.D., B. Frandsen, and R. Titiunik. (2015). Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate. Journal of Causal Inference 3(1): 1-24.
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Cattaneo, M.D., R. Titiunik, and G. Vazquez-Bare. (2016). Inference in Regression Discontinuity Designs under Local Randomization. Stata Journal 16(2): 331-367.
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Cattaneo, M.D., R. Titiunik, and G. Vazquez-Bare. (2017). Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality. Journal of Policy Analysis and Management 36(3): 643-681.
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Rosenbaum, P. (2002). Observational Studies. Springer.
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