Quantitative Economics II

  • Credits: 6
  • Ending: Examination
  • Range: 2P + 2C
  • Semester: winter
  • Year: 2
  • Faculty of Economic Informatics

Teachers

Included in study programs

Data Science in Economics

Teaching results

The graduate of the course is able to explain various economic phenomena with economic models.
Abilities:
- Students will be able to formulate, solve and interpret economic models describing known conomic phenomena and interactions. Students solve the model using Python.
Skills:
- Graduates will gain current knowledge of economic theory – growth theory, business cycle theory, monetary theory, New Keynesian theory, inflation theory, new monetary theory based on model with banks.
Competencies:
- Students will be able to formulate and express the economic theoretical background needed in econometric analyzes used in modern research, in forecasts made by scientific research institutions or in the financial sector. Students are able to explain the basic economic processes, the effects of various shocks and policies.

Indicative content

1. Dynamic economic measures, economic growth, business cycles and inflation
2. Growth theory
3. Convergence and steady growth
4. Search model
5. Real business cycle model RBC
6. Small open economy models
7. Dynamic general equilibrium model of a monetary economy (DGE)
8. Flexible prices and wages in DGE models
9. Sticky prices in DGE models (New Keynesian theory)
10. Neo-Fischer effects in the New Keynesian model
11. DGE models of a small open monetary economy
12. Advanced theory of money, inflation and banking

Support literature

1. Barro, R.J. Macroeconomics – A Modern Approach. Thomson South Western, 2008.
2. Doepke, M., Lehnert, A., Sellgren, A.W. Macroeconomics. http://faculty.wcas.northwestern.edu/~mdo738/book.htm (október 2019).
3. Schmitt-Grohe, S., Uribe, M., Woodford, M. International Macroeconomics. http://www.columbia.edu/~mu2166/UIM/ (október 2019).
4. Williamson, S.D. (2018). Macroeconomics. Harlow: Pearson.

Requirements to complete the course

20 % written mid-term exam ; 80 % oral final exam

Student workload

156 hours
Lectures participation: 26 hours, Seminar participation: 26 hours, Semester work: 42 hours
Preparation for final exam: 62 hours

Language whose command is required to complete the course

Slovak, English

Date of approval: 04.03.2025

Date of the latest change: 19.12.2025