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040131 UK Introductory Econometrics (BA) (2024W)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
Moodle
Mo 20.01. 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

Tutorium:
DO 10.10.2024 13.15-14.45 Ort: Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß;
DO 24.10.2024 13.15-14.45 Ort: Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß;
DO 07.11.2024 13.15-14.45 Ort: Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
DO 21.11.2024 13.15-14.45 Ort: Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß;
DO 05.12.2024 13.15-14.45 Ort: Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß;
DO 09.01.2025 13.15-14.45 Ort: Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß;
DO 23.01.2025 11.30-13.00 Ort: Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock

  • Tuesday 01.10. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 07.10. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 08.10. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 10.10. 13:15 - 14:45 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 14.10. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 15.10. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 21.10. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 22.10. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 24.10. 13:15 - 14:45 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 28.10. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 29.10. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 04.11. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 05.11. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 07.11. 13:15 - 14:45 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 18.11. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 19.11. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 21.11. 13:15 - 14:45 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 25.11. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 25.11. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 26.11. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 02.12. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 03.12. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 05.12. 13:15 - 14:45 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 09.12. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 10.12. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 16.12. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 17.12. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 07.01. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 09.01. 13:15 - 14:45 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 13.01. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 14.01. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 21.01. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 23.01. 11:30 - 13:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 13.02. 09:45 - 11:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.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: Tu 03.12.2024 11:25