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040057 UK Macroeconometrics (MA) (2018S)
Continuous assessment of course work
Labels
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).
- Registration is open from We 14.02.2018 09:00 to We 21.02.2018 12:00
- Deregistration possible until We 14.03.2018 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Friday 02.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 05.03. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 09.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 16.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 19.03. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 23.03. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 09.04. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 13.04. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 16.04. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 20.04. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 23.04. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 27.04. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 30.04. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 04.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 07.05. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 11.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 14.05. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 18.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 25.05. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 28.05. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 01.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 04.06. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 08.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 11.06. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 15.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 18.06. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 22.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 25.06. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 29.06. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Information
Aims, contents and method of the course
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.
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
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)