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040131 UK Introductory Econometrics (BA) (2022W)

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

Tutorium:
MO 10.10.2022 und 17.10.2022 18.30-20.00 Ort: Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß; MO 31.10.2022 und 07.11.2022 18.30-20.00 Ort: Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock;
MO 28.11.2022 18.30-20.00 Ort: Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß;
MO 12.12.2022 18.30-20.00 Ort: Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß;
MO 16.01.2023 18.30-20.00 Ort: Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß

PC-Lab 5, 1. Untergeschoß reserviert am:
Dienstag, 18.10., 15.11., 29.11., 13.12., 10.1., 18.30 - 20.00 Uhr

  • Monday 03.10. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 06.10. 09:45 - 11:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 10.10. 16:45 - 18:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 10.10. 18:30 - 20:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 13.10. 09:45 - 11:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 17.10. 16:45 - 18:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 17.10. 18:30 - 20:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 18.10. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 20.10. 09:45 - 11:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 24.10. 16:45 - 18:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 27.10. 09:45 - 11:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 31.10. 16:45 - 18:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 31.10. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 03.11. 09:45 - 11:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 07.11. 16:45 - 18:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 07.11. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 10.11. 09:45 - 11:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 15.11. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 21.11. 16:45 - 18:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 24.11. 09:45 - 11:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 28.11. 16:45 - 18:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 28.11. 18:30 - 20:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 29.11. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 01.12. 09:45 - 11:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 12.12. 16:45 - 18:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 12.12. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 13.12. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 15.12. 09:45 - 11:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 09.01. 16:45 - 18:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 09.01. 18:30 - 20:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 10.01. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 12.01. 09:45 - 11:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 16.01. 16:45 - 18:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 16.01. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 19.01. 09:45 - 11:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 09.02. 09:45 - 11:15 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 how to conduct statistical inference with them. In doing so, the course will provide an understanding of the notion of `causal’ inference and, more generally, guidelines for the interpretation of 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. The methods are illustrated by empirical applications in Stata and R.

Assessment and permitted materials

Homework assignments (total of 20%), written tests (80%). The homework assignments 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. Stock and M. Watson (2019): Introduction to Econometrics, Pearson.
(2) J. Wooldridge (2015): Introductory Econometrics, Cengage Learning.
(3) 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: We 11.01.2023 11:49