Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
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Updated
Feb 26, 2024 - Stata
Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
Finite-sample inference for RD designs using local randomization and related methods.
Manipulation testing using local polynomial density methods.
Estimation, inference, RD Plots, and extrapolation with multiple cutoffs and multiple scores RD designs.
Double/Debiased Machine Learning implementation for Stata
IPW- and CBPS-type propensity score reweighting, with various extensions (Stata package)
Power and sample size calculations for RD designs using robust bias-corrected local polynomial inference.
A Stata package for assessing sensitivity to the unconfoundedness assumption
Multiple projects for Envrionmental Impact Evaluation and Social Policies Evaluation (Avg Grade: 19.5/20)
A Stata Package for Regression Sensitivity Analysis
A Stata module for an instrumental variables correlated random coefficients estimator.
Estimating the Effect of Persuasion in Stata
Estimating the Effect of Persuasion in Stata
Replication files for Jun and Lee (2022)
PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference
Treatment-effects estimation by blop-matching in Stata
Stata commands designed for Impact Evaluations in particular, but also data work in general
A tool to run a pool of synthetic controls, conduct inference, and produce visualizations.
Data, Code and other material for CodeChella concert
Replication code for "Indian judges show no gender or religious in-group bias" (Ash et al. 2020)
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