Universität Wien

040041 KU Advanced Macroeconomics (MA) (2023S)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
Moodle

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).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 01.03. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 02.03. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 03.03. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 03.03. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 09.03. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 10.03. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 16.03. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 17.03. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 23.03. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 24.03. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 30.03. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 31.03. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 20.04. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 21.04. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 27.04. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 28.04. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 04.05. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 05.05. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 11.05. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 12.05. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 19.05. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 25.05. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 26.05. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 01.06. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 02.06. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 09.06. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 15.06. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 16.06. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 22.06. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 23.06. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 30.06. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

The course covers selected topics, models, and methods commonly used in modern macroeconomics. It presents issues related to monetary policy, frictional labor markets and market power, and productivity growth under mis-allocation. Students learn how to do a computer-based analysis of dynamic business cycle models with frictional labor markets using dynamic programming, Markov chains, and value function iteration. The goal is to equip students with the tools needed to do independent research in macro and related fields.

Assessment and permitted materials

The course grade is based on 3 problem sets (10% each), a midterm (30%) on May 4, 2023, and a comprehensive final exam (40%) on June 15, 2023. Students who take the midterm on May 4 will be given the opportunity of a make-up exam on May 19, and students who take the final on June 15 will be given the opportunity of a make-up exam on June 30, 2023.

Minimum requirements and assessment criteria

Students need to obtain at least an average of 50% to pass this course. 50% - 60% implies a 4; 60% - 70% a 3; 70% - 85% a 2; 85% or above a 1.

Examination topics

All topics covered in the course including mandatory readings.

Reading list

Galí, J. 2015. Monetary Policy, Inflation, and the Business Cycle, 2nd edition
Miranda, M., P.L. Fackler 2002. Applied Computational Economics and Finance, Boston (MIT-Press)
Selected articles from academic journals

Association in the course directory

Last modified: Fr 30.06.2023 08:26