rdd 0.0.1

Tools to implement regression discontinuity designs in Python.

# rdd

rdd is a set of tools for implementing regression discontinuity designs in Python. At present, it only allows for inputs that are pandas Series or DataFrames.

## Current Features:

• Computes the Imbens-Kalyanaraman optimal bandwidth (see [this article](http://www.nber.org/papers/w14726.pdf) for details)

• Creates a dataset containing only observations within a given bandwidth

• Generates a reduced pandas DataFrame for graphical analysis (such as binned scatter plots) when the number of observations is large

• Implements a sharp RDD * With or without user supplied controls

## Features to Come:

• Tutorial of how and why to use each function

• Tutorial on how to check rdd’s statistical assumptions in Python, such as using: * Continuity plots * Density plots * Tests for discontinuities * Checking for balance and testing for random assignment (though not a requirement, it can still be a useful check)

• A robust test file for functions * Add error checking/reporting in functions

• McCrary tests

• Fuzzy rdd implementations