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

A beginner-friendly, comprehensive introduction to Random Forest regression for continuous data, evaluated end-to-end with 5-fold cross-validation and out-of-fold predictions on Bolivian satellite imagery

An interactive geocomputational notebook to study spatial clusters and outliers

A geocomputational notebook to study spatial heterogeneity using the GWR and MGWR frameworks.

An introduction to how to construct, explore, and export spatial connectivity structures (W) using Python.

A geocomputational notebook to monitor subnational human development using Python. Besides exploratory data analysis, the notebook introduces geospatial mapping, spatial dependence, and spatial inequality.

A geocomputational notebook to monitor spatial inequality dynamics.

A geocomputational notebook to monitor regional development in Bolivia using Python. Besides exploratory data analysis, the notebook introduces geospatial mapping, spatial dependence, spatial inequality, and spatial heterogeneity.

An introduction to the Solow growth model and its convergence prediction