cate

Causal Machine Learning and the Resource Curse with Python EconML

Does mining wealth help or hurt local development, and do good local institutions make the difference? This Python tutorial uses causal machine learning on simulated district data with known true effects to measure how the impact of mining and mineral prices varies from place to place. It comes with an interactive app that runs in your web browser.

Causal Machine Learning and the Resource Curse with Stata 19

Does mining make places richer or poorer, and does the answer depend on the quality of government? Using simulated data that mirrors a published study, we use machine learning in Stata to estimate how the effects of mining and mineral prices on development differ from place to place. The tutorial comes with an interactive app that runs in your web browser.

Conditional Average Treatment Effects (CATE) with Stata 19

Does access to a workplace retirement savings plan help some households build more wealth than others? Instead of reporting one average effect, we use machine learning in Stata to estimate how the effect differs across households by income and other traits. The tutorial comes with an interactive app that runs in your web browser.