Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables
-
Updated
Apr 3, 2024 - 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
A Stata module for an instrumental variables correlated random coefficients estimator.
This is the website repository for the Stata packages lassopack & pdslasso. Please visit:
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
2SLS IV regression with Python
R code to reproduce results of data examples in 'Selecting invalid instruments to improve MR with two-sample summary data''
Stata package for one-sample Mendelian randomization / instrumental variable analyses
Code for an R package to implement instrumental variables procedures that are robust to many & weak instruments.
R Code That Makes up the Bulk of my Master's Paper
This assignment relates to my 8th assignment in Econ 323 - Econometrics Analysis 2. I generate new demand and supply data and use this to test different casualty methods such as TSLS, IV, and Diff-In-Diff.
Shift-Share Instrument Mixtape Track taught by Peter Hull
This repository shows some coding my colleagues and I made for our Advanced Econometrics course for the Diploma of Specialization in Data Science for Social Sciences and Public Management - PUCP
A brief workshop on two-stage least-squares regression for instrumental variable analysis
Two-sample two-stage least squares estimation
Add a description, image, and links to the instrumental-variables topic page so that developers can more easily learn about it.
To associate your repository with the instrumental-variables topic, visit your repo's landing page and select "manage topics."