Three principled approaches to variable selection---BMA, LASSO, and WALS---applied to synthetic cross-country CO2 emissions data with known ground truth, demonstrating methodological triangulation for robust inference.
Estimating regression models with high-dimensional fixed effects using PyFixest, from simple OLS through two-way FE, instrumental variables, panel data, and event studies