Universität Wien

040178 UK Applied Economics (BA) (2024W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Summary

1 Thies , Moodle
We 11.12. 09:45-11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
2 Thies , Moodle
Th 12.12. 16:45-18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß

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).
Registration information is available for each group.

Groups

Group 1

max. 30 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 02.10. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 09.10. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 16.10. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 23.10. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 30.10. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 06.11. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 13.11. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 20.11. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 27.11. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 04.12. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 08.01. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 15.01. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 22.01. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 29.01. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 30.01. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock

Examination topics

We will seek to cover the following topics in this course:
1. Introduction to R
2. Review of the Multiple Linear Regression Model and Inference
3. Endogeneity
4. Panel Data Methods
5. Instrumental Variable Estimation

Reading list

1) Wooldridge, J. (2015). Introductory econometrics: A modern approach (Sixth edition, student ed.)
2) Hill R. C., Griffiths W. E., Lim G. C. (2018). Principles of Econometrics. (Fifth edition)
3) Heiss, F. (2020). Using R for Introductory Econometrics (2nd edition)

Group 2

max. 30 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 03.10. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 10.10. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 17.10. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 24.10. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 31.10. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 07.11. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 14.11. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 21.11. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 28.11. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 05.12. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 09.01. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 16.01. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 23.01. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 30.01. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock

Examination topics

We will cover the following topics in this course:
1. Introduction to R
2. Review of the Multiple Linear Regression Model and Inference
3. Endogeneity
4. Panel Data Methods
5. Instrumental Variable Estimation
6. Difference-in-Differences
7. Regression Discontinuity Design

Reading list

1) Wooldridge, J. (2015). Introductory econometrics: A modern approach (Sixth edition, student ed.)
2) Hanck, C., M. Arnold, A. Gerber, and M. Schmelzer (2024). Introduction to Econometrics with R. (Fifth edition)
3) Heiss, F. (2020). Using R for Introductory Econometrics (2nd edition)

Information

Aims, contents and method of the course

This is a course in which students will reinforce the tools learned in Introductory Econometrics (BA) by applying them to real world data sets using econometric software. Prior knowledge at the level will be assumed throughout the course. The aim of the course is for students to get hands on experience in analyzing observational data using the open source programming language R and acquire the tools to carry out empirical research projects on their own.

Assessment and permitted materials

Four problem sets (total of 60%), final exam (40%). The problem sets can be done in groups of up to three.

Minimum requirements and assessment criteria

Students should hand in all problem sets and attend the final exam. A minimum of 51% is required to pass the course.

Association in the course directory

Last modified: Th 03.10.2024 16:45