Metadata-Version: 2.1
Name: rdd
Version: 0.0.1
Summary: Tools to implement regression discontinuity designs in Python.
Home-page: https://github.com/evan-magnusson/rdd
Author: Evan Magnusson
Author-email: evan.magnusson@alumni.stanford.edu
License: MIT
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: statsmodels

# 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


