Universität Wien

040068 UK Dynamic Macroeconomics with Numerics (MA) (2021S)

Track in Macroeconomic Policy

12.00 ECTS (6.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
MIXED

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. 35 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Monday 01.03. 08:00 - 09:30 Digital
Tuesday 02.03. 08:00 - 09:30 Digital
Monday 08.03. 08:00 - 09:30 Digital
Tuesday 09.03. 08:00 - 09:30 Digital
Thursday 11.03. 08:00 - 09:30 Digital
Monday 15.03. 08:00 - 09:30 Digital
Tuesday 16.03. 08:00 - 09:30 Digital
Thursday 18.03. 08:00 - 09:30 Digital
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 22.03. 08:00 - 09:30 Digital
Tuesday 23.03. 08:00 - 09:30 Digital
Thursday 25.03. 08:00 - 09:30 Digital
Monday 12.04. 08:00 - 09:30 Digital
Tuesday 13.04. 08:00 - 09:30 Digital
Thursday 15.04. 08:00 - 09:30 Digital
Monday 19.04. 08:00 - 09:30 Digital
Tuesday 20.04. 08:00 - 09:30 Digital
Thursday 22.04. 08:00 - 09:30 Digital
Monday 26.04. 08:00 - 09:30 Digital
Tuesday 27.04. 08:00 - 09:30 Digital
Thursday 29.04. 08:00 - 09:30 Digital
Monday 03.05. 08:00 - 09:30 Digital
Tuesday 04.05. 08:00 - 09:30 Digital
Thursday 06.05. 08:00 - 09:30 Digital
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 10.05. 08:00 - 09:30 Digital
Tuesday 11.05. 08:00 - 09:30 Digital
Monday 17.05. 08:00 - 09:30 Digital
Tuesday 18.05. 08:00 - 09:30 Digital
Thursday 20.05. 08:00 - 09:30 Digital
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 27.05. 08:00 - 09:30 Digital
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 31.05. 08:00 - 09:30 Digital
Tuesday 01.06. 08:00 - 09:30 Digital
Monday 07.06. 08:00 - 09:30 Digital
Tuesday 08.06. 08:00 - 09:30 Digital
Thursday 10.06. 08:00 - 09:30 Digital
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 14.06. 08:00 - 09:30 Digital
Tuesday 15.06. 08:00 - 09:30 Digital
Thursday 17.06. 08:00 - 09:30 Digital
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 21.06. 08:00 - 09:30 Digital
Tuesday 22.06. 08:00 - 09:30 Digital
Thursday 24.06. 08:00 - 09:30 Digital
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 28.06. 08:00 - 09:30 Digital
Tuesday 29.06. 08:00 - 09:30 Digital

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.
The course is taught according to the 'flipped classroom' principle, i.e., the class material is provided in advance and participants are expected to prepare for each class AHEAD OF TIME so that they can answer questions in class. During class, the instructor highlights central aspects of the material and answers questions.

OFFICE HOURS
Monika Merz: Tue 10:30 - 11:30 a.m. Please register ahead of time via email.

Assessment and permitted materials

The course grade will be based exclusively on (i) homeworks (20%), (ii) up to two quantitative projects
(25%), (iii) four online quizzes (36%), and (iv) active class participation (19%).

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: Fr 12.05.2023 00:12