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Tools to implement regression discontinuity designs in Python.

Project description

# 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. Check out the tutorial [here](https://github.com/evan-magnusson/rdd/blob/master/tutorial/tutorial.ipynb) for a guide to using this package.

## 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 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)

  • McCrary tests

  • Fuzzy rdd implementations

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