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040068 UK Dynamic Macroeconomics with Numerics (MA) (2020S)

Track in Macroeconomic Policy

12.00 ECTS (6.00 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).

Registration is open from Mo 10.02.2020 09:00 to We 19.02.2020 12:00
Registration is open from Tu 25.02.2020 09:00 to We 26.02.2020 12:00
Deregistration possible until Th 30.04.2020 23:59

Details

max. 35 participants

Language: English

Lecturers

Classes (iCal) - next class is marked with N

Monday 02.03. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday 09.03. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 10.03. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday 16.03. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 17.03. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday 23.03. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 24.03. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday 30.03. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 31.03. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday 20.04. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 21.04. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 23.04. 08:00 - 09:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 27.04. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 28.04. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 29.04. 18:30 - 20:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 30.04. 08:00 - 09:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 04.05. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 05.05. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 07.05. 08:00 - 09:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 11.05. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 12.05. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 13.05. 18:30 - 20:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 14.05. 08:00 - 09:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 18.05. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 19.05. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday 25.05. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 26.05. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 28.05. 08:00 - 09:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday 03.06. 18:30 - 20:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 04.06. 08:00 - 09:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 08.06. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 09.06. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 10.06. 18:30 - 20:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 15.06. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 16.06. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 17.06. 18:30 - 20:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 18.06. 08:00 - 09:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 22.06. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 23.06. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 24.06. 18:30 - 20:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 25.06. 08:00 - 09:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 29.06. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 30.06. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

This course is aimed at master level students and beginning doctoral students. It covers the foundations of stochastic dynamic general equilibrium models that are commonly used in modern macroeconomics. The course presents alternative equilibrium concepts, the basics of dynamic programming, selected time-series methods and numerical methods commonly used to solve dynamic recursive models. The goal is to equip students with the tools needed to do independent research in macro.

Please register online. Dropping the course is possible until March 14, 2020, midnight.

OFFICE HOURS
Monika Merz: Mon 11:30 a.m. – 12:30 p.m. Please register ahead of time via email.
Alexander Hansak: TBA

Assessment and permitted materials

The course grade will be based exclusively on (i) homeworks (25%), (ii) group projects
(20%), (iii) a midterm exam (40%) on May 4, and (iv) active class participation including presenting results from projects (15%) on June 29. Please, mark your calendar now!

Minimum requirements and assessment criteria

Fifty percent of all possible points must be achieved for passing the course.

Examination topics

The course material covered in the first part of the class.

Reading list

Ljungqvist, L., T. Sargent 2018. Recursive Methods in Macroeconomic Theory, 4th edition,
Boston (MIT-Press). Abbreviated as LS
Additional material is provided via Moodle.

Association in the course directory

Last modified: Mo 07.09.2020 15:19