Scientific and Pedagogical Objectives
The Summer School is built around three complementary objectives that combine scientific rigor, hands-on learning, and the development of a strong academic community.
Strengthen Training in Applied Macroeconomic Research
Bridge Theory and Practice Through an Experimental, Hands-On Approach
Build an International Community of Young Researchers in Quantitative Macroeconomics
An Integrated Approach to Training
By combining theoretical instruction, numerical experimentation, and exposure to applied research, the Summer School fosters a shared culture of quantitative inquiry. It promotes mastery of modern modelling tools and encourages dialogue between academic research and policy analysis.
Beyond scientific training, it aims to encourage a common culture of quantitative research, develop mastery of digital tools, and promote dialogue between academic research and public policy analysis. It is designed to complement existing training in macroeconomics and offers progressive, accessible learning rooted in contemporary research practice.
A distinctive format
This week of training will stand out from existing summer schools through several key features:
- An accessible and interactive format, combining theoretical lectures, hands-on workshops, and the replication of real macroeconomic models
- An intermediate pedagogical positioning, open to both Master’s students and early-career researchers, ensuring a smooth and progressive learning experience
- A strong territorial anchoring, highlighting the research conducted in Lorraine within BETA and the RENEL Chair
- A connection to the professional world, with contributions from guest speakers affiliated with institutions such as the Bank of England and the Banque de France
International Dimension
The Summer School is taught entirely in English and is open to participants from around the world.
Its international orientation is supported by:
- Collaborations with partner universities in Europe and Latin America
- Mobility agreements facilitated by the International Relations Directorate
- Contributions from researchers affiliated with foreign institutions (Roma Tre University, University of Mannheim, Bank of England, HEC Lausanne, etc.)
This global perspective strengthens the visibility of the University of Lorraine in the field of quantitative macroeconomics.
Focus of the 2026 Edition
The first edition, held in 2026, will concentrate on Dynamic Stochastic General Equilibrium (DSGE) models – a central tool in contemporary macroeconomic analysis and in the design of monetary, fiscal, and environmental policies.
DSGE models offer a unified analytical framework to evaluate macroeconomic dynamics in environments where agents form rational expectations and respond to technological, policy, and structural shocks. They are widely used in academia as well as in institutions such as central banks, the IMF, the World Bank, and the OECD.
📅 Dates & 📍 Location
Dates: 8–12 June 2026
Location: University of Lorraine, Faculty of DSEG – Carnot Campus, Nancy (France)
📘 Format
- Morning lectures
- Afternoon hands-on workshops
- Matlab & Dynare practice
- 30 hours of training
👥 Participants
- Master’s students (M1/M2)
- PhD candidates & young researchers
- Professionals in economics and policy
🧰 Core Topics
- RBC and New Keynesian models
- Calibration, simulation & IRFs
- Monetary policy (Taylor & Ramsey rules)
- Bayesian estimation of DSGE models
- Research seminars and a policy roundtable
👩🏫 Teaching Team
Our teaching team includes experienced researchers from leading institutions.
We also welcome guest speakers from central banking institutions to provide practical insights.
📂 What You Get
- Codes, datasets & lecture slides
- Technical guidance during workshops
- Official certificate of completion
- Potential doctoral training credits