Universität Wien

040039 UK Macroeconomic Forecasting with Theory-Based Models (MA) (2014W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

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. 60 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Thursday 02.10. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 09.10. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 16.10. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 23.10. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 30.10. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 06.11. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 13.11. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 20.11. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 27.11. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 04.12. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 11.12. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 18.12. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 08.01. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 15.01. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 22.01. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 29.01. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
PC-Seminarraum 7 Oskar-Morgenstern-Platz 1 3.Stock

Information

Aims, contents and method of the course

This course introduces tools for forecasting macroeconomic time series using theory-based DSGE models. The course will be split into two parts. The first part is a series of lectures covering topics such as (i) DSGE modeling, (ii) (Log-)linearization, (iii) The Kalman filter, (iv) Classical and Bayesian inference in linearized DSGE models, (v) Forecasting with linearized DSGE models, (vii) Forecast evaluation, (viii) applied forecasting using MATLAB/DYNARE. The second part will include presentations by students of (i) selected research papers and (ii) of their individual applied forecasting project.

Assessment and permitted materials

problem sets, written midterm exam, presentations, forecasting project

Minimum requirements and assessment criteria

Examination topics

Reading list


Association in the course directory

Last modified: Mo 07.09.2020 15:28