Teaching
Courses
Graduate - Quantitative Macroeconomics I & II (M2 APE)
Paris School of Economics - Teaching Assistant (Tobias Broer)
Fall 2024-25 (QM1) & Spring 2025-26 (QM2)
Graduate - International Macroeconomics (M1 APE)
Paris School of Economics - Teaching Assistant (Julien Matheron)
Fall 2023 & Fall 2024
Undergraduate - International Trade
Université Paris 1 Panthéon-Sorbonne - Teaching Assistant (Léa Marchal)
Spring 2024 & Spring 2025
Resources & Links
In case you are a student in any of my TAs, you can find some additional resources and helpful links below.
Quantitative Macroeconomics I & II (PSE APE M2)
Click to expand...
Below you find a collection of helpful resources to provide you with a good starting point for the most frequently asked questions in this course. Nevertheless, do not underestimate the value of a good textbook! While lecture notes may answer your pressing question, the textbook will equip you with a well-structured and comprehensive understanding of the topic at hand.
DSGE Modeling
- For those of you who feel like they have to catch up on DSGE models, take a look at the AEA's: DSGE Modeling in Macroeconomics—Larry Christiano and Martin Eichenbaum
- Whether for RBC or NK models, the lecture notes by Eric Sims are great!
Dynare
- See the website of Prof. Willi Mutschler for great introductory tutorials
- For great overview of what Dynare does, see the manual by Callum Jones and Mariano Kulish
- Learn how to write good Dynare code! If you plan to work with Dynare on e.g. your thesis, take a look at this replication code from a recent paper by Freund, Hanbaek, and Rendahl (2022). It's a great example of how to write clean and efficient Dynare code. Invest early into writing good code, your future self will thank you!
Empirical Macroeconomics
- Prof. Kevin Kotzé provides amazing teaching material including lecture notes & code on almost everything Macroeconometrics
- For a more theoretical treatment of macroeconometrics, take a look at incredible resources by the AEA: Techniques of Empirical Macroeconomics—Òscar Jordà and Karel Mertens
- For theoretical treatment of macroeconometrics with a focus on time series, take a look at the AEA's : Time-Series Econometrics (James H. Stock, Mark W. Watson)
- If you plan to dip your toes into Bayesian Time Series Econometrics, I found the ECB's BEAR Technical Guide to be a great starting point! The WP by Miranda-Agrippino and Ricco is another great read, if you are looking for an overview instead of an in-depth textbook treatment of the subject.
Calibrating Macro Models
- Tomás R. Martinez provides some great slides on how to calibrate macro models using real-world data as well as further references.
Computational Methods
- Fatih Guvenen provides a great set of slides as part of his PhD Computational Methods Course. Many slides include practical advice that is otherwise hard to find.
HANK
- Resources will be available soon.
Additional Notes
- Check out the website of my fellow TA Gregoire Sempé for some great resources on this course.
International Trade (Paris 1 L3)
Click to expand...
Research Resources
If the first lecture caught your attention, I'd recommend you the following book: 1493: Uncovering the New World Columbus Created. It's a great read!