Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.

Honest inference in regression discontinuity designs

Causal Inference Using Quasi-Experimental Methods

Estimation for sharp regression discontinuity designs.

Regression Discontinuity Design Software Packages

Manipulation testing using local polynomial density methods.

Finite-sample inference for RD designs using local randomization and related methods.

Estimation, inference, RD Plots, and extrapolation with multiple cutoffs and multiple scores RD designs.

Power and sample size calculations for RD designs using robust bias-corrected local polynomial inference.

Lecture slides, video recordings, and coding exercises from the 2024 Northwestern University Causal Inference Workshop. This repository is not affiliated with Northwestern University or the workshop.

Analysis of Ironman triathlon finisher data

Final assignment in the Causal Inference course at the Technion (IEM097400). In this assignment investigate the causal connection of pride events to hate crimes committed against the LGBTQ+ community.

Estimating the effect of Covid-19 Precautions on traffic accidents in Taoyuan City with Regression Discontinuity Design using Python PanelOLS model.

In this project, we will work on replicating the results of a paper by Imbens & Gelman (2019). The paper states three arguments why high-order polynomials should not be used in regression discontuinity design.

This is Benjamin Reese's repo for a paper presenting a method for estimating unknown cut-points in RDDs/RKDs.

Effective Programming Practice with Python: Replication of González, Libertad (2013)

Provides a convenient wrapper function for data analysis with regression discontinuity design (especially discrete running variables) as an identification strategy.

Replication: Do Women Give Up Competing More Easily? Evidence from the Lab and the Dutch Math Olympiad

LWE Research Project