Universität Wien
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040131 UK Introductory Econometrics (BA) (2023W)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
ON-SITE
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. 150 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Make-up-exam (for those who provide a sick note):
Donnerstag 08.02.2024 11.30-13.00 Ort: Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

Tutorium:
MO wtl von 09.10.2023 bis 06.11.2023 15.00-16.30 Ort: Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock;
MO wtl von 27.11.2023 bis 22.01.2024 15.00-16.30 Ort: Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock

  • Monday 02.10. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 03.10. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 09.10. 15:00 - 16:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 09.10. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 10.10. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 16.10. 15:00 - 16:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 16.10. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 17.10. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 23.10. 15:00 - 16:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 23.10. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 24.10. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 30.10. 15:00 - 16:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 30.10. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 31.10. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 06.11. 15:00 - 16:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 06.11. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 07.11. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 13.11. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 14.11. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 20.11. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 21.11. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 27.11. 15:00 - 16:30 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 27.11. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 28.11. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 04.12. 15:00 - 16:30 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 04.12. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 05.12. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 11.12. 15:00 - 16:30 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 11.12. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 12.12. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 08.01. 15:00 - 16:30 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 15.01. 15:00 - 16:30 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 15.01. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 16.01. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 22.01. 15:00 - 16:30 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 22.01. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 23.01. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 29.01. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 08.02. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

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 29.01.2024 15:45