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

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

Test for weak IV instruments in R.

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

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

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

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

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

Master Degree Coursework: Econometrics II

Code for ForestIV

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

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.

Econometrics courses (Coursera and HSE)

Graphical Instrumental Variable Estimation and Testing

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