Causal Inference

Carbon Taxes and CO2 Emissions: A Synthetic-Control Analysis in Python

Synthetic Control and IV in Python — replicating Andersson (2019) on Sweden's carbon tax and CO2 emissions with pysyncon and pyfixest.

Causal Machine Learning and the Resource Curse with Python EconML

Estimate heterogeneous causal effects of mining and mineral prices on economic development using EconML's CausalForestDML with Double Machine Learning, applied to simulated resource curse data

Double Machine Learning with 401(k) Data: From Eligibility Effects to Complier Analysis

Estimating the causal effect of 401(k) eligibility and participation on net financial assets using three DoubleML models (PLR, IRM, IIVM) with the 1991 SIPP pension dataset

Causal Machine Learning for Policy Evaluation: From ATE to IATE to a Better Assignment Rule

A beginner-friendly walk-through of Causal Machine Learning — ATE, GATE, IATE, and welfare-maximising assignment — using DoubleML and EconML on a synthetic Flanders ALMP-style cohort with known true effects.