Universität Wien
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040057 UK Macroeconometrics (MA) (2014S)

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 05.03. 12:00 - 13:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 06.03. 13:30 - 15:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 13.03. 13:30 - 15:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 19.03. 12:00 - 13:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 20.03. 13:30 - 15:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 26.03. 12:00 - 13:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 27.03. 13:30 - 15:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 02.04. 12:00 - 13:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 03.04. 13:30 - 15:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 09.04. 12:00 - 13:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 10.04. 13:30 - 15:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 11.04. 17:30 - 19:25 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 28.04. 16:00 - 18:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 30.04. 12:00 - 13:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
    Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 07.05. 12:00 - 13:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 08.05. 13:30 - 15:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 14.05. 12:00 - 13:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 15.05. 13:30 - 15:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 21.05. 12:00 - 13:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 22.05. 13:30 - 15:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 28.05. 12:00 - 13:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 04.06. 12:00 - 13:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 05.06. 13:30 - 15:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 11.06. 12:00 - 13:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 12.06. 13:30 - 15:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 18.06. 12:00 - 13:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 18.06. 15:30 - 17:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 18.06. 17:30 - 21:00 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 20.06. 10:00 - 15:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 23.06. 16:00 - 19:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 24.06. 10:00 - 12:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 25.06. 12:15 - 13:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 26.06. 13:30 - 15:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

The course introduces econometric methods useful to discuss macroeconomic data. The course consists of the following main building blocks:
1. Univariate Time Series (ARMA processes, stationarity and unit roots, testing for unit roots, estimation of ARMA, model selection, prediction, autoregressive conditional heteroskedasticity)
2. Multivariate Time Series (Dynamic models with stationary variables, VAR, models with nonstationary variables, spurious regression, cointegration, VECM)
3. Panel Time Series (dynamic linear panels, panel time series)
4. Topics in Macroeconometrics (e.g. Structural breaks, structural VAR and impulse responses, Threshold models)

Assessment and permitted materials

The evaluation consists of four components: Midterm exam (30%), final exam (30%), problem sets (10%), and an empirical project (30%). The empirical project consists of writing a short paper, presenting own results and discussing the results of fellow students. Dropping the course without a grade is possible until the midterm. Passing the course requires both at least 50% of the maximum achievable points and 50% of the achievable points for the empirical project.

Minimum requirements and assessment criteria

The course aims at deepening the understanding of econometric method useful to analyze macroeconomic data.
By the end of the course, students are expected to have acquired a good understanding of how to analyze univariate and multivariate time series and how to apply this knowledge to the analysis of macroeconomic data.

Examination topics

The course comprises of 2 lectures of 1,5h per week covering both theory and empirical examples. Students are asked to prepare over the course an empirical project and present and discuss their results in the last weeks.

Reading list

Verbeek: A Guide to Modern Econometrics (Wiley, 4th edition)
Chapters 8-9, 10.1-10.6.

Association in the course directory

Last modified: Mo 07.09.2020 15:28