Universität Wien FIND
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040057 UK Macroeconometrics (MA) (2019S)

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

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Friday 01.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 04.03. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday 08.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 11.03. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday 15.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 18.03. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday 22.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 25.03. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday 29.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 01.04. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday 05.04. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 08.04. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday 12.04. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 29.04. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday 03.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 06.05. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday 10.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 13.05. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday 17.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 20.05. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday 24.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 27.05. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday 31.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 03.06. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday 07.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Friday 14.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 17.06. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday 21.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 24.06. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday 28.06. 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 test (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. Dates for tests are convened in class.

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. Slides are made accessible to participants. Econometric methods are 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: Fr 06.09.2019 09:47