Causal Inference Using Quasi-Experimental Methods
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Updated
Jan 15, 2021
Causal Inference Using Quasi-Experimental Methods
Analysis of Ironman triathlon finisher data
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
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.
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.
Power and sample size calculations for RD designs using robust bias-corrected local polynomial inference.
This is Benjamin Reese's repo for a paper presenting a method for estimating unknown cut-points in RDDs/RKDs.
Estimation, inference, RD Plots, and extrapolation with multiple cutoffs and multiple scores RD designs.
Manipulation testing using local polynomial density methods.
Finite-sample inference for RD designs using local randomization and related methods.
Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
Regression Discontinuity Design Software Packages
Estimating the effect of Covid-19 Precautions on traffic accidents in Taoyuan City with Regression Discontinuity Design using Python PanelOLS model.
Honest inference in regression discontinuity designs
Estimation for sharp regression discontinuity designs.
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