Universität Wien
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040057 UK Macroeconometrics (MA) (2017S)

8.00 ECTS (4.00 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. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 03.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 06.03. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 10.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 17.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 20.03. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 24.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 27.03. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 31.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 03.04. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 07.04. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 24.04. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 28.04. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 05.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 08.05. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 12.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 15.05. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 19.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 22.05. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 26.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 29.05. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 02.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 09.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 12.06. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 16.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 19.06. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 23.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 26.06. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 30.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß

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 (panel data models, dynamic linear panels, panel time series)

Assessment and permitted materials

The evaluation consists of three components: midterm test (35%), final exam (35%), 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 before the midterm. Passing the course requires both at least 50% of the maximum achievable points and attendance at the midterm test.

Minimum requirements and assessment criteria

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.

Examination topics

The course comprises 2 lectures of 1.5h per week covering both theory and empirical examples. Econometric methods will be highlighted by empirical applications using the software package Stata. 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, 4th edition), Chapters 8-9, 10.1-10.6.

Association in the course directory

Last modified: Mo 07.09.2020 15:28