Machine Learning and Causal Inference
This Github repository contains R, Python and Julia scripts about Causal Inference and Machine Learning. Here you can find applications of Causal Trees, Bootstrapping, lasso regressions, etc.
This Github repository contains R, Python and Julia scripts about Causal Inference and Machine Learning. Here you can find applications of Causal Trees, Bootstrapping, lasso regressions, etc.
In this folder, you will find economic theory and applications (Stata) of the following methodologies: instrumental variables, differences in differences, discontinuous regression, matching and synthetic control.
In this folder, you will find python scripts about the following topics: robust regression, regression trees, financial risk predictive model and the Newton Raphson method.