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.
A Stata Package for Regression Sensitivity Analysis
Manipulation testing using local polynomial density methods.
Double/Debiased Machine Learning implementation for Stata
A Stata package for assessing sensitivity to the unconfoundedness assumption
Finite-sample inference for RD designs using local randomization and related methods.
A Stata module for an instrumental variables correlated random coefficients estimator.
PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference
IPW- and CBPS-type propensity score reweighting, with various extensions (Stata package)
Causal weights for macroeconomic shocks
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.
Power and sample size calculations for RD designs using robust bias-corrected local polynomial inference.
Estimation, inference, RD Plots, and extrapolation with multiple cutoffs and multiple scores RD designs.
Causal Inference Class Notes & Coding Exercises
Estimating the Effect of Persuasion in Stata
Multiple projects for Envrionmental Impact Evaluation and Social Policies Evaluation (Avg Grade: 19.5/20)
Replication code for "Indian judges show no gender or religious in-group bias" (Ash et al. 2020)
Two-sample two-stage least squares estimation
Stata commands designed for Impact Evaluations in particular, but also data work in general
Treatment-effects estimation by blop-matching in Stata
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