Diego S Cardoso's repositories
14.388_jl
This Jupyterbook has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI in the Department of Economics at MIT taught by Professor Victor Chernozukhov. All the scripts were in R and we decided to translate them into Julia, so students can manage both programing languages. Jannis Kue
14.388_r
This Jupyterbook has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI in the Department of Economics at MIT taught by Professor Victor Chernozukhov.
causalML-teaching_MCKnaus
This repository consolidates my teaching material for "Causal Machine Learning".
Demand-Estimation
Demand Estimation taught by Jeff Gortmaker and Ariel Pakes
dscardoso.github.io
Diego's personal academic page, forked from academicpages/academicpages.github.io
Econometrics_Creel
Econometrics lecture notes with examples using the Julia language
EIAdata
R Wrapper for the Energy Information Administration (EIA) API
just-the-docs
A modern, high customizable, responsive Jekyll theme for documention with built-in search.
mgtecon634_r
This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in the MGTECON 634 at Stanford.
paper_template
Template repository for research papers.
oil_cap_public
Repository to share reports with coauthors