Quantitative Macroeconomics

  • Credits: 8
  • Ending: Examination
  • Range: 16sP
  • Semester: winter
  • Faculty of Economic Informatics

Teachers

Included in study programs

Data Science in Economics

Data Science in Economics

Teaching results

The graduate of the course will acquire the necessary theoretical macroeconomic apparatus necessary for independent scientific research work in the field of economic analysis.
Abilities:
- Students will be able to formulate, solve and interpret economic models describing known economic phenomena and interactions at an advanced level.
Skills:
- Graduates will gain a comprehensive overview of existing macroeconomic theories.
Competencies:
- Students will be able to use a rich theoretical apparatus in the field of macroeconomic research.

Indicative content

1. Neoclassical growth models, Dynamic programming, theory of optimal control and growth.
2. Overlapping generations growth models, Growth models with endogenous level of technology.
3. Real business cycle models, Small open economy real business cycle models.
4. Business cycles and financial rigidities, Trade shocks and business cycles.
5. Models of monetary economy.
6. Price stickiness and business cycles.
7. Neo-Fischer effect, Fiscal theory of inflation.
8. Credibility of monetary policy.

Support literature

1. Acemoglu, D. (2009). Introduction to Modern Economic Growth. Princeton: Princeton University Press.
2. Cochrane, J. (2021). The Fiscal Theory of the Price Level. www.johnhcochrane.com.
3. Uribe, M., Schmitt-Grohéova, S. (2017). Open Economy Macroeconomics. Princeton: Princeton University Press.
4. Walsh, C.E. (2010). Monetary Theory and Policy. 3. vydanie. MIT Press.
5. Williamson, S. (2019). Neo-Fisherism and Inflation Control. Canadian Journal of Economics. 52(3), s. 882–913.
6. Szomolányi, K., Lukáčik, M., Lukáčiková, A.: Business Cycles in European Post-Communist Countries. Contemporary Economics, vol. 11, n. 2, 2017, pp. 171-186. doi.org/10.5709/ce.1897-9254.235

Requirements to complete the course

40 % assignments; 60 % final exam

Student workload

208 hours
participation in lectures 16 h, semester work: 68 hours, preparation for final exam: 124 hours

Language whose command is required to complete the course

Slovak, English

Date of approval: 11.03.2024

Date of the latest change: 16.05.2022