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Robust Local Polynomial Methods for RD designs with Multiple Cutoffs or Multiple Scores

The package rdmulti implements estimation, inference, and graphical procedures for Regression Discontinuity (RD) designs with multiple cutoffs or multiple scores.

  • rdmc: point estimation and robust bias-corrected inference for multi-cutoff designs.
  • rdmcplot: data-driven RD plots for multi-cutoff designs.
  • rdms: point estimation and robust bias-corrected inference for multi-score designs.

See references for methodological and practical details.

Website: https://rdpackages.github.io/rdmulti.

Source code: https://github.com/rdpackages/rdmulti.

Authors

Matias D. Cattaneo (matias.d.cattaneo@gmail.com)

Ricardo Masini (ricardo.masini@gmail.com)

Rocio Titiunik (rocio.titiunik@gmail.com)

Gonzalo Vazquez-Bare (gvazquezbare@gmail.com)

Installation

To install/update use pip:

pip install rdmulti

Usage

import pandas as pd
from rdmulti import rdmc, rdmcplot

df = pd.read_csv("simdata_multic.csv")

# Multi-cutoff estimation
fit = rdmc(df["y"], df["x"], df["c"])

# Multi-cutoff plot data and figure
plot = rdmcplot(df["y"], df["x"], df["c"])

Dependencies

  • numpy
  • pandas
  • scipy
  • rdrobust

References

For overviews and introductions, see rdpackages website.

Software and Implementation

Technical and Methodological

Metadata

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