Universität Wien
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040195 KU Data Analysis on Organization and Personnel (MA) (2023W)

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

service email address: opim.bda@univie.ac.at
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. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 10.10. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 17.10. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 24.10. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 31.10. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 07.11. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 14.11. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 21.11. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 28.11. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 05.12. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 12.12. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 09.01. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 16.01. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 23.01. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 30.01. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Aims, contents and method of the course

Summary: This course introduces students to multivariate statistics for analyzing data in human resources, economics, and related disciplines.
The aim of this course is to provide participants with an understanding of the quantitative research process from hypotheses development to testing the hypotheses with the appropriate statistical methods.

Goal: Upon completion of the course, participants should be able to conduct their own study and analyses data sets with a variety of statistical methods. Discussed topics include:

• Developing and testing hypotheses
• Introduction to univariate and multivariate methods
• Analysis of variance
• Regression analysis

The emphasis is on empirical applications and the mathematics of econometric will be introduced only as needed.

Goal: Upon completion of the course, students will be able to undertake regression analysis and inference on a variety of hypotheses involving cross-sectional and time series data.
This course introduces students to regression tools for analyzing data in economics, finance and related disciplines. Extensions include regression with discrete random variables, instrumental variables regression, quasi-experiments, and regression with time series data. The objective of the course is for the student to learn how to conduct – and how to critique – empirical studies in economics, finance and related fields. Accordingly, the emphasis of the course is on empirical applications. The mathematics of econometrics will be introduced only as needed and will not be a central focus.

Assessment and permitted materials

The final grade will be based on assignments, group presentation (may be substituted with assignments), and active in class participation. Attendance during the lectures is mandatory.

• Assignments (60%)
• Group presentation (30%) (may be substituted with additional assignments)
• Participation (10%).

The use of AI tools (e.g. ChatGPT) for the production of texts is only permitted if they are expressly requested by the course leader (e.g. for individual work tasks).

Minimum requirements and assessment criteria

1 (sehr gut) → 100-89 poins
2 (gut) → 88-76 poins
3 (befriedigend) → 75-63 poins
4 (genügend) → 62-50 poins
5 (nicht genügend) → 49-0 poins

Examination topics

Topics discussed in class with focus on application of statistical methods.

Reading list

Hair et al. (2013) Multivariate Data Analysis. Pearson
Wooldridge „Introductory Econometrics“
– Chapters 1-8, 15, 17
Peter Kennedy „A guide to Econometrics“
– Chapters 1-12, 16, 17
Kohler/Kreuter „Data Analysis using Stata“
– Chapter 8 and 9

Association in the course directory

Last modified: Fr 20.10.2023 14:26