Universität Wien

040067 UK Applied Economics (BA) (2022S)

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

Summary

1 Zejcirovic , Moodle
2 Zejcirovic
3 Bamieh , 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 09.03. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 16.03. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 23.03. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 30.03. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 27.04. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 04.05. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 11.05. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 18.05. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 25.05. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 01.06. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 15.06. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 22.06. 09:45 - 11:15 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock

Aims, contents and method of the course

ATTENTION: Students need computer access to be able to work with the statistical program we will discuss in class. If the students lose access to the University PC-labs (due to corona restrictions), they should make sure that they have access to a PC at home, to be able to work on the problem sets.

This group is solely for students majoring in Economics. Students majoring in Economic History (or Economics), 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.

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.).

Group 2

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 07.03. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 14.03. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 21.03. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 28.03. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 04.04. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 25.04. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 02.05. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 09.05. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 16.05. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 23.05. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 30.05. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 13.06. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 20.06. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 27.06. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Aims, contents and method of the course

ATTENTION: Students need computer access to be able to work with the statistical program we will discuss in class. If the students lose access to the University PC-labs (due to corona restrictions), they should make sure that they have access to a PC at home, to be able to work on the problem sets.

This group is solely for students majoring in Economics. Students majoring in Economic History (or Economics), 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.

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.).

Group 3

max. 30 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 26.04. 16:45 - 18:15 Digital
  • Wednesday 27.04. 16:45 - 18:15 Digital
  • Monday 02.05. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 03.05. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 09.05. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 10.05. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 16.05. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 17.05. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 23.05. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 24.05. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 30.05. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 31.05. 16:45 - 18:15 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock

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

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.).

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

Association in the course directory

Last modified: Th 11.05.2023 11:27