Universität Wien

040131 UK Introductory Econometrics (BA) (2025W)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
Moodle
Mo 17.11. 16:45-18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß

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. 150 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Tutorials:
DO 09.10.2025 13.15-14.45 Ort: Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß;
DO 23.10.2025 13.15-14.45 Ort: Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
DO 06.11.2025 13.15-14.45 Ort: Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock;
DO 20.11.2025 13.15-14.45 Ort: Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock;
DO 04.12.2025 13.15-14.45 Ort: Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock;
DO 18.12.2025 13.15-14.45 Ort: Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock;
DO 08.01.2026 13.15-14.45 Ort: Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock;
DO 22.01.2026 13.15-14.45 Ort: Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock

  • Monday 06.10. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 07.10. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 09.10. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 13.10. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 14.10. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 20.10. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 21.10. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 23.10. 13:15 - 14:45 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 27.10. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 28.10. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 03.11. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 04.11. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 06.11. 13:15 - 14:45 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 10.11. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 18.11. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 20.11. 13:15 - 14:45 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 24.11. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 25.11. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 01.12. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 02.12. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 04.12. 13:15 - 14:45 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 09.12. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 15.12. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 16.12. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 18.12. 13:15 - 14:45 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 08.01. 13:15 - 14:45 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 12.01. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 13.01. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 19.01. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 20.01. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 22.01. 13:15 - 14:45 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 26.01. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß

Information

Aims, contents and method of the course

The course provides an introduction to the most common statistical methods that are used in modern economics. In particular, the course will introduce students to the concept of linear regression analysis discussing how to set up and estimate linear regression models and conduct statistical inference with them. In doing so, the course will provide an understanding of causal inference and, more generally, guidelines for interpreting empirical regression results and the corresponding hypothesis tests. The course will also treat implementation issues related to regression analysis, such as misspecification or omitted variables. Empirical applications in Stata and R illustrate the methods.

Assessment and permitted materials

Homework assignment (20%), mid-term exam (30%), final exam (50%). The homework assignment can be done in groups of up to three.

Minimum requirements and assessment criteria

To pass, students need to achieve at least 50% of the maximum achievable score in total.

Examination topics

All topics covered in class.

Reading list

(1) J. Wooldridge (2015): Introductory Econometrics, Cengage Learning.
(2) J. Stock and M. Watson (2019): Introduction to Econometrics, Pearson.
(2) Optionally: J. Angrist and S. Pischke (2008): Mostly Harmless Econometrics, Princeton Univ. Press.
(More detailed reading lists will be provided and continuously updated throughout the semester).

Association in the course directory

Last modified: Mo 06.10.2025 10:25