Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
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Updated
Oct 24, 2024 - Stata
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.
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.
Estimation, inference, RD Plots, and extrapolation with multiple cutoffs and multiple scores RD designs.
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.
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.
Estimating the effect of Covid-19 Precautions on traffic accidents in Taoyuan City with Regression Discontinuity Design using Python PanelOLS model.
[Break Through Tech: AI Studio Project] Unwrapping Customer Delight: Using Frequentist and Bayesian Regression Models to Optimize Surprise Gift Strategies
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
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