The idea of regression discontinuity is to compare the outcome just above and just below the threshold to identify the treatment effect at the threshold. This is called a sharp RD design, …

The regression discontinuity design is a particular form of quasi experimental design. It consists of a control and test group, but assignment of units to conditions is chosen based upon a …

Software packages for analysis and interpretation of regression discontinuity designs and related methods. Replication files and illustration codes employing these packages are also available.

Jul 26, 2021 · The rdrobust package implements the statistical inference and graphical procedures for Regression Discontinuity designs employing local polynomial and partitioning …

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 for a guide …

Mar 8, 2021 · In Stata and R, there are well-established packages for estimating regression discontinuity design models: I could not a full-featured package with associated tutorial for …

Generate a simple Regression Discontinuity, before and after the treatment is given.

Mar 31, 2023 · How to Use RDD in Python. In Python, there are several libraries that can be used to perform RDD analysis. One example is the RDD package, which provides tools for …

In this notebook we explore regression discontinuity design using generalized linear models (GLMs) and kernel weighting from a bayesian perspective. The motivation comes from …

May 24, 2019 · 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 …