Universität Wien

040057 KU Macroeconometrics (MA) (2022S)

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

  • Friday 04.03. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 07.03. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 14.03. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 18.03. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 21.03. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 25.03. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 28.03. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 01.04. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 04.04. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 08.04. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 25.04. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 29.04. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 02.05. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 06.05. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 09.05. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 13.05. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 16.05. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 20.05. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 23.05. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 27.05. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 30.05. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 03.06. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 10.06. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 13.06. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 17.06. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 20.06. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 24.06. 13:15 - 14:45 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 27.06. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

The course focuses on econometric methods that are used in applications to aggregate 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, models with integrated variables, spurious regression, cointegration, vector autoregressions, impulse response, vector error-correction models)
3. Macroeconomic Panel Data (dynamic linear panels, panel time series)
The course aims at deepening the understanding of econometric methods that are useful in the analysis of 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 macroeconomic data.

Assessment and permitted materials

The evaluation consists of three components: midterm test (30%), final test (30%), and an empirical project (40%). 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 before the midterm. Passing the course requires both at least 50% of the maximum achievable points and attendance at the midterm test. Dates for tests are convened in class.

Minimum requirements and assessment criteria

A positive grade requires 50% of the achievable points and attendance at the first midterm test.

Examination topics

The course comprises 2 lectures of 1.5h per week covering both theory and empirical examples. Slides are made accessible to participants.
The relevant material for the tests is defined by what has been taught in the course.
Students are asked to prepare an empirical project that is related to the course contents, and to present and discuss their results in the last weeks.

Reading list

Verbeek: A Guide to Modern Econometrics (Wiley, 5th edition), Chapters 8-9, 10.1-10.6.

Association in the course directory

Last modified: Th 03.03.2022 16:08