Universität Wien
Warning! The directory is not yet complete and will be amended until the beginning of the term.

040178 UK Applied Economics (BA) (2022W)

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

Summary

1 Xu , Moodle
2 Xu , 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).
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 12.10. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 19.10. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 09.11. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 16.11. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 23.11. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 30.11. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 07.12. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 14.12. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 11.01. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 18.01. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 25.01. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Aims, contents and method of the course

This group is for students majoring in Economics. Students majoring in Economic History, please attend Mario Holzner's Group.

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 econometric software and acquire the tools to carry out empirical research projects on their own.

Group 2

max. 30 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 13.10. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 20.10. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 27.10. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 03.11. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 10.11. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 17.11. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 24.11. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 01.12. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 15.12. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 12.01. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 19.01. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 26.01. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Aims, contents and method of the course

This group is for students majoring in Economics. Students majoring in Economic History, please attend Mario Holzner's group.

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 econometric software and acquire the tools to carry out empirical research projects on their own.

Information

Assessment and permitted materials

Four problem sets (total of 60%), final exam (40%).

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.

Examination topics

We will seek to cover the following topics in this course:
1. Introduction
2. Review of the Linear Regression Model and Inference
4. Multiple Linear Regression Model
5. Endogeneity

Reading list

The following textbooks are available in the library:

1) Hill R. C., Griffiths W. E., Lim G. C. (2018). Principles of Econometrics. (Fifth edition)

2) Wooldridge, J. (2015). Introductory econometrics: A modern approach (Sixth edition, student ed.).

Association in the course directory

Last modified: Mo 03.10.2022 14:08