040158 KU Macroeconomics for Economics and Finance (MA) (2024W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 09.09.2024 09:00 to Th 19.09.2024 12:00
- Registration is open from We 25.09.2024 09:00 to Th 26.09.2024 12:00
- Deregistration possible until Mo 14.10.2024 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 02.10. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 07.10. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 09.10. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 14.10. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 16.10. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 21.10. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 23.10. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 28.10. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 30.10. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- N Monday 04.11. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 06.11. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 11.11. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 13.11. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 18.11. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 20.11. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 25.11. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 27.11. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 02.12. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 04.12. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 09.12. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 11.12. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 16.12. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 08.01. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 13.01. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 15.01. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 20.01. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 22.01. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 27.01. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 29.01. 09:45 - 11:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Assessment will be based on weekly homework exercises, a final (written or oral) exam, paper presentations, and classroom participation.
Minimum requirements and assessment criteria
Students can earn points by solving and presenting the homework exercises. They can also earn points in the final exam and through presentations of papers at the end of the term. The minimum requirement to make an assessment possible is that the student submits at least half of the homework exercises and takes part in the final exam.
Examination topics
Defined by beamer presentation and homework exercises.
Reading list
A detailed syllabus will be published on Moodle. The main references areD. Romer: Advanced Macroeconomics, 5th ed., McGraw-Hill, 2019.G. Sorger: Dynamic Economic Analysis: Deterministic Models in Discrete Time, Cambridge University Press, 2015.
Association in the course directory
Last modified: Tu 29.10.2024 11:25
a) important modelling frameworks which are used to study economic growth, business cycles, and unemployment;
b) important mathematical methods to analyze the above mentioned models, including dynamic optimization, recursive methods (dynamic programming), and dynamic general equilibrium analysis.Methods: The basic material of the course will be presented in the form of lectures. This will be complemented by weekly exercise classes in which students have to present solutions to homework exercises. At the end of the term, we will read selected papers from the literature which are based on models discussed in the course.