Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction

R package of useful functions for one-sample Mendelian randomization and instrumental variable analyses

Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)

Master Degree Coursework: Econometrics I

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.

IV diagnostics package accompanying Lal, Lockhart, Xu, and Zu (2023).

A Stata module for an instrumental variables correlated random coefficients estimator.

Test for weak IV instruments in R.

PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference

R functions for g-estimation of structural nested cumulative failure models using (1) confounding adjustment or (2) instrumental variable analysis

Estimation and inference of a directed acyclic graph with unspecified interventions.

Code for ForestIV

Code/Data/Figure for "Nonparametric Instrumental Variable Estimator for Survival Outcomes"

Master Degree Coursework: Econometrics II

Starter Pack About Mendelian Randomization. My Feedback about MR traning followed in 2020.

IV technique. Replication & critique of N. Nunn paper using R

Econometrics courses (Coursera and HSE)

Graphical Instrumental Variable Estimation and Testing

Stata package for one-sample Mendelian randomization / instrumental variable analyses