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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