May 19 - 30, 2025 | Chulalongkorn University, Bangkok, Thailand

Contact Email: asyakostanyan@thebetterpolicyproject.org

​

About the Workshop

The Open-Source Economics Workshop is an in-person and hybrid program that helps students, researchers, and professionals build essential skills in macroeconomics, policy modeling, and data science. Using powerful open-source tools like Python, R, and DynareJulia, participants will learn how to work with data, build models, and apply them to real-world economic and policy questions.

This year’s workshop will place special emphasis on Artificial Intelligence (AI) and its growing role in economics and finance. Through hands-on sessions, participants will explore how AI tools — including generative AI and automation — can be used for research, forecasting, and even building AI assistants for everyday analytical work.

The workshop also features advanced content on macroeconomic policy modeling. Participants will work with ideas from the forthcoming Oxford Review of Economic Policy article "Adapting Monetary Policy Frameworks for Risk Management", which introduces innovative approaches like Mixed Complementarity Problems (MCPs) and Endogenous Credibility (ENDOCRED) models for handling challenges such as the effective lower bound and policy uncertainty.

Building on the success of past summer schools in Portugal and Armenia, this program offers not only expert teaching but also a chance to join a growing global community of economists, central bankers, and researchers working at the frontier of applied economics.

​

Workshop Details

Courses Offered

🗓️ May 19–23, 2025

• Python for Economists
  Learn how to use Python for data manipulation, visualization, web scraping, and natural language processing in economic analysis.

• R for Economists
  Master statistical analysis, econometrics, data visualization, and machine learning using R’s powerful open-source tools.

• AI in Economics and Finance (Hybrid)
  Explore practical applications of AI and generative models for research, forecasting, and building AI assistants in economics and finance.

• Applied Macroeconomic Policy Modeling with DynareJulia (Hybrid)
  Develop skills in solving macroeconomic policy problems using Mixed Complementarity Problems (MCPs) and the ENDOCRED model.

 

🗓️ May 26–30, 2025

• Macroeconomic Modeling in DynareJulia
  Learn to build and estimate advanced DSGE models and quarterly projection models (QPM) using DynareJulia for policy and forecasting.

​

Meet Our Experts

Learn from leading economists and researchers:

• Douglas Laxton (The Better Policy Project)

• Asya Kostanyan (The Better Policy Project)

• Timur Magzhanov (Bocconi University)

• Haykaz Igityan (Central Bank of Armenia)

• Aleksander Hycnar (Sciences Po Paris)

 

Venue

Chulalongkorn University, Bangkok, Thailand.

​

Pricing and Discounts

• Cost per participant: 1,000 Euros per course.

• Group Discounts: Institutions registering more than 5 participants are eligible for significant discounts.

• Hybrid Courses are FREE for university student and we charge only a very small fe from institutions. Contact us for more details.

• Additional Notes:

  • The fee does not include travel expenses or accommodation.

  • Participants are responsible for making their own travel and lodging arrangements.

 

Why Attend?

• Hands-On Training: Gain practical experience with real-world economic challenges.

• Comprehensive Curriculum: Cover essential topics, from econometric modeling to advanced data techniques.

• Networking Opportunities: Connect with peers, industry experts, and renowned economists.

• Cutting-Edge Tools: Harness the power of open-source software for innovative economic solutions.

​

Key References

• Laxton, D., H. Igityan, and S. Mkhatrishvili. (2024). Adapting Monetary Policy Frameworks for Risk Management. Forthcoming, Oxford Review of Economic Policy. 

• Kumhof, M., D. Laxton, D. Muir, and S. Mursula. (2010). The Global Integrated Monetary and Fiscal Model (GIMF) – Theoretical Structure. IMF Working Paper. 

• Anderson, D., Hunt, B., Kortelainen, M., Kumhof, M., Laxton, D., Muir, D., and Mursula, S. (2013). Getting to Know GIMF: The Simulation Properties of the Global Integrated Monetary and Fiscal Model. IMF Working Paper. 

• Laxton, D., and P. Pesenti. (2003). Monetary Rules for Small, Open, Emerging Economies. Journal of Monetary Economics. 

• Kumhof, M., and D. Laxton. (2007). A Party without a Hangover? On the Effects of U.S. Government Deficits. Journal of Economic Dynamics and Control. 

• Kamenik, O., H. Kiem, V. Klyuev, and D. Laxton. (2013). Why Is Canada’s Price Level So Predictable? Journal of Money, Credit and Banking. 

 

Apply Now!

Don’t miss the opportunity to transform your career in economics.

Contact Us

• Email: asyakostanyan@thebetterpolicyproject.org

• Social Media:

  • YouTube

  • Twitter

  • LinkedIn​