Universität Wien
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040079 UK Econometric Methods for Panel Data (MA) (2016S)

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

  • Wednesday 02.03. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 07.03. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 09.03. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 14.03. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 16.03. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 04.04. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 06.04. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 11.04. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 13.04. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 18.04. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 20.04. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 25.04. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 27.04. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 02.05. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 04.05. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 09.05. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 11.05. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 18.05. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 23.05. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 25.05. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 30.05. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 01.06. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 06.06. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 08.06. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 13.06. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 15.06. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 20.06. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 22.06. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 27.06. 16:45 - 18:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 29.06. 13:15 - 14:45 Hörsaal 9 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 panel data. The course consists of the following main building blocks:

1. One-way error-component regression model (fixed and random effects)
2. Two-way error-component regression model
3. Hypotheses tests with panel data (poolability tests, Hausman test)
4. Heteroskedasticity and serial correlation in panels
5. Instrumental variables in panels (simultaneous equations, endogeneity)
6. Dynamic panels
7. Limited dependent variables in panels
8. Panel time series (panel unit root tests, panel cointegration tests, panel cointegration)

Methods will be highlighted by empirical applications using the software package Stata.

Assessment and permitted materials

There will be a midterm test and a final test, each of them carrying 35% weight in the final grade. An empirical project carries 30% of the final grade. Dropping the course without a grade is only possible before the midterm test. A positive grade on the course requires at least 50% of the maximum achievable score and participation at the midterm test.

Minimum requirements and assessment criteria

Participants will be familiar with the main methods that are currently used in the analysis of economic panel data. They will also be able to apply the procedures empirically using a standard econometric software package, for example Stata.

Examination topics

There are two units of 1.5 hours every week that contain presentation of material and also exercises. Discussion and active participation is encouraged. Participants will elaborate a small empirical project related to panel data, with work in small groups of up to three being encouraged.

Reading list

Baltagi: Econometric Analysis of Panel Data (Wiley)

Association in the course directory

Last modified: Mo 07.09.2020 15:28