- 2014, Teaching assistant for Macroeconomics I (Ph.D. level), Stockholm Doctoral Program in Economics
- 2014, Teaching assistant for Microeconomics I (Master’s level), Stockholm School of Economics
- 2013, Teaching assistant for Macroeconomics (Ph.D. level), Gothenburg University
Useful Tools for Computational Economics in Python
- Sargent and Stachurski’s lectures on quantitative economics is a great starting point for learning quantitative economics and Python at the same time.
- Numba speeds up that inner-most loop in your Python code by converting it to machine code.
- At Amazon cloud computing you can rent 16 or 32 cores at a reasonable price per hour. Perfect for that last robustness check.
- Git for version control. I use Bitbucket for free private repositories, they also provide a decent graphical user interface in Sourcetree for Git beginners.