I am an economist specializing in empirical macroeconomics, forecasting, and structural modelling.
My goal is to share open-source code, data, and tutorials to help bridge the gap between academic theory and practical application. My work covers a wide range of topics—from central banking and high-frequency macro to structural analysis—with a strict focus on automation and reproducibility.
This mini course is designed to save you time, whether you are you’re brand new to econometrics and needing to go from "Zero to Hero" or an experienced economist looking to work more efficiently and professionally.
While vibecoding with LLMs is great, it’s prone to errors and hallucinations. These repositories provide verified, working code you need to provide necessary context to the AI. Use these templates to ground your LLM, ask it how to add specific features, and explain the logic—ensuring you reduce errors and get to the right result faster.
Choose your preferred language to access the same 5-part video series and code templates:
- Automated Import & Cleaning: Automatically uploads, set dates, and convert frequencies correctly in seconds.
- Debug Like a Pro: Best practices and hacks to identify and fix errors instantly.
- Essential Time Series Skills: Graph, inform your priors (know the data), quantify, model, and forecast.
- Monte Carlo Simulations: Use simulations to verify methods, extract p-values and output, and understand spurious regressions.
- The "Copy-Paste" Intervention: Save time by automating your tables and result reporting. Export publication-quality and LLM-ready tables—no more copy-pasting screenshots.
A guide with quick links to find macroeconomic StatsCan tables, download GDP, and calculate the textbook national account identity.
