Side projects and resources I actively contribute to.
A comprehensive, hands-on curriculum for learning empirical macroeconometrics — from foundational panel data methods through Bayesian VARs and structural DSGE estimation.
Topics covered:
Each module includes theory, Monte Carlo simulations, applied examples with real data, and diagnostics checklists.
Short essays on things that resonate with me — monetary history, policy puzzles, the craft of empirical work, and whatever else I find worth thinking about. Coming soon.
An annotated reading list of papers I keep returning to — spanning sovereign debt crises, central bank credibility, financial repression episodes, and the political economy of monetary policy. Organized thematically with brief notes on why each paper matters. Coming soon.
Recipes for solving and estimating macro models — value function iteration, projection methods, perturbation, particle filtering — with clean, documented code in Julia, MATLAB, and Python. Coming soon.