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Apply for Modelling Macroeconomics: How Macroeconomists Understand and Predict the World Course and get a certificate

We invite students to join a six-week intensive course (24 hours) on Modelling Macroeconomics: How Macroeconomists Understand and Predict the World, concluding with a certificate from the CERGE-EI Foundation.

Opublikowano: 01 April 2026

Course Outline 

The course shows students how to build macroeconomic models to better understand realworld data. We explore classic frameworks that explain economic growth, lifecycle inequality, and the choices made by poor and wealthy households. Each model is presented in an intuitive way and connected to real data through calibration. By the end of the course, students will learn what these models reveal about the economy — and what their main limitations are. 

Course Structure 

Each week will include remote lectures and an onsite exercise session. The course covers the following topics: 

  1. Stochastic growth models
  2. Uncertainty modelling
  3. Models of consumption and income inequality over the life cycle
  4. Hand-to-mouth households and propensity to consume models 

Main Instructor: Daniil Kashkarov, Ph.D. 
Local Instructor: Przemysław Włodarczyk, Ph.D. (przemyslaw.wlodarczyk@uni.lodz.pl) 

Course Details 

  • ECTS points: 5 ECTS points (can be exchanged for crediting an elective lecture)
  • Classes: April 27 – June 5, 2026
  • Online lectures: Tuesday 7.00 - 8.30 a.m. CEST and Thursday 7.00 - 7.45 a.m. CEST
  • Workshops with the local instructor: Mondays 6.30 – 7.15 p.m. CEST at the EkSoc Faculty
  • Language of instruction: English
  • Grading: Homework (40%) Activity on lectures (Moodle quizzes - 20%) Final exam (40%)
  • Final exam week: June 8-12, 2026
  • Make-up exam week: June 15-19, 2026 

Registration

Registration is conducted via online form and is open until 17th April 2026.

ul. P.O.W. 3/5,
90-255 Łódź

tel: 42/635 53 56
fax: 42/635 50 32

Funduszepleu
Projekt Multiportalu UŁ współfinansowany z funduszy Unii Europejskiej w ramach konkursu NCBR