Universität Wien

040256 KU Panel Data Econometrics (MA) (2024S)

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

  • Monday 04.03. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 06.03. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 11.03. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 13.03. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 18.03. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 20.03. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 08.04. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 10.04. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 15.04. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 17.04. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 22.04. 13:15 - 14:45 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 24.04. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 29.04. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 06.05. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 08.05. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 13.05. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 15.05. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 22.05. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 27.05. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 29.05. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 03.06. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 05.06. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 10.06. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 12.06. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 17.06. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 19.06. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 24.06. 13:15 - 14:45 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 26.06. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.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%)
Tests are closd-book, dictionaries and non-programmable calculators are permitted.
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 tests 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
Croissant, Y., and G.Millo: Panel Data Econometrics with R

Association in the course directory

Last modified: We 31.07.2024 11:25