Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables
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Updated
Apr 19, 2025 - Julia
Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables
2SLS Regression with Diagnostics in R
R package of useful functions for one-sample Mendelian randomization and instrumental variable analyses
CRAN Task View: Causal Inference
nl-causal: nonlinear causal inference based on IV regression in Python
Inference in SVMA models identified by external instruments/proxies
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.
Instrumental Variable Regression in Python
A Stata module for an instrumental variables correlated random coefficients estimator.
Investigate how racial segregation influences urban poverty and inequality, using railroad track layouts as an instrumental variable (IV) to estimate the causal impact of segregation on poverty rates.
This is the website repository for the Stata packages lassopack & pdslasso. Please visit:
Analyze the effects of seasonal migration on household consumption and expenditures in rural Bangladesh from a randomized control trial.
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
R code to reproduce results of data examples in 'Selecting invalid instruments to improve MR with two-sample summary data''
Econometrics II workshop (2025).
Stata package for one-sample Mendelian randomization / instrumental variable analyses
2SLS IV regression with Python
This repository examines how EV charging stations affect the adoption of plug-in hybrid and battery electric vehicles in the U.S. using causal inference and instrumental variable methods to evaluate the NEVI Formula Program's effectiveness.
Bayesian Model Averaging in instrumental variable models.
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