Universität Wien

040256 KU Panel Data Econometrics (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

  • Wednesday 02.03. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 07.03. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 09.03. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 14.03. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 16.03. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 21.03. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 23.03. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 28.03. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 30.03. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 04.04. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 06.04. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 25.04. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 27.04. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 02.05. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 04.05. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 09.05. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 11.05. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 16.05. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 18.05. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 23.05. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 25.05. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 30.05. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 01.06. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 08.06. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 13.06. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 15.06. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 20.06. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 22.06. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 27.06. 11:30 - 13:00 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 29.06. 13:15 - 14:45 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

Participants will be familiar with the econometric methods used for economic panel data.
The following topics are covered:
1. Models for panel data (fixed and random effects, one-way and two-way, estimation)
2. Tests (poolability, Hausman test, autocorrelation, heteroskedasticity)
3. Dynamic panels (Nickell bias, instrumental variable estimation, generalized method of moments)
4. Panel tests for unit root, cointegration in panels
The application of econometric methods is explained using the software Stata and/or R. Slides are made accessible to participants.

Assessment and permitted materials

- two written tests (30% each)
- 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 test. Passing the course requires both at least 50% of the maximum achievable points and attendance at the first written test. Dates for test and presentations are convened in class.

Minimum requirements and assessment criteria

50% of the maximum achievable score, participation in the first 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.
In tests, participants work on their own. The empirical project can be done in groups of up to three.

Reading list

Baltagi, B. : Econometric Analysis of Panel Data
Hsiao, C.: Analysis of Panel Data

Association in the course directory

Last modified: Th 03.03.2022 15:47