Understanding the Frisch-Waugh-Lovell theorem to isolate causal relationships by partialling-out confounders in a simulated retail store dataset
Computing causal bounds under unmeasured confounding using Manski and Tian-Pearl bounds with the CausalBoundingEngine package in Python
Estimating the causal effect of a job training program on earnings using DoWhy's four-step causal inference framework with the Lalonde dataset
Estimating the causal effect of a cash bonus on unemployment duration using Double Machine Learning with the Pennsylvania Bonus Experiment
Predicting municipal development in Bolivia using Random Forest regression on satellite image embeddings
Learning econometrics should be a more accessible and interactive experience.
An introduction to econometrics with Python and AI in the cloud
A Data Science Repository to Study GeoSpatial Development in Bolivia
A public access platform for the analysis, monitoring, and evaluation of sustainable regional development in Cambodia
Computational data science notebooks and apps to foster development studies.