Universität Wien FIND

Teaching at the University of Vienna will take place in the form of remote learning until the end of the semester. Exams basically take place digitally as well. Further information about remote learning

From the end of May onwards, individual exams that cannot be held online will be taking place within the framework of limited exam operation on site at exam centres. You consent to the changed mode of assessment when registering for the exam/course. All information about the exams at the exam centres

040131 UK Introductory Econometrics (BA) (2019W)

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

Details

max. 200 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Tuesday 01.10. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 08.10. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 09.10. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 15.10. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 16.10. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 22.10. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 23.10. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 29.10. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 30.10. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 05.11. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 06.11. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 12.11. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 13.11. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 19.11. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 20.11. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 26.11. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 27.11. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 03.12. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 04.12. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 10.12. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 11.12. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 17.12. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 07.01. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 08.01. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 14.01. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 15.01. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 21.01. 18:30 - 20:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 22.01. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 28.01. 18:30 - 20:00 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 empirical economics. This includes linear regression (ordinary least squares, generalized least squares, instrumental variables) in static and dynamic equations and the corresponding hypothesis tests (restriction tests as well as diagnostic tests). The methods are highlighted by empirical applications in Stata. Specific emphasis is on the application of adequate terminology.

Assessment and permitted materials

Assessment is based on two written tests and on homework assignments. The closed-book tests carry weights of 25 %, 35 %, 40 % each in the final grade. The homework assignments can be done in groups of up to three persons and carry a weight of 10%. A positive grade requires at least 50 % of the maximum achievable score and attendance at the first written test.

Minimum requirements and assessment criteria

Aims of the module: Participants will have acquired the necessary skills for the analysis of economic data by statistical procedures and for drawing conclusions from the empirical analysis. They are able to apply models derived from economic data to concrete data and to test theory-based hypotheses empirically.

This course provides the theoretical basis, and the tutorial that should be attended following this course provides the hands-on applied skills.

Examination topics

Lecturing, active participation and discussion

Reading list

Jeffrey M. Wooldridge: Introductory Econometrics (South-Western, 5th edition)

Association in the course directory

Last modified: Tu 07.04.2020 14:27