040217 KU Data Analysis on Organization and Personnel (MA) (2023S)
Continuous assessment of course work
Labels
Summary
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 is open from Mo 13.02.2023 09:00 to We 22.02.2023 12:00
- Registration is open from Mo 27.02.2023 09:00 to Tu 28.02.2023 12:00
- Deregistration possible until Fr 17.03.2023 23:59
Registration information is available for each group.
Groups
Group 1
service email address: opim.bda@univie.ac.at
max. 25 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Monday 17.04. 11:30 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 17.04. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 17.04. 15:00 - 16:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 18.04. 10:45 - 12:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 18.04. 12:30 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 18.04. 15:45 - 16:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 18.04. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 19.04. 11:30 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 19.04. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 19.04. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Thursday 20.04. 11:30 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Thursday 20.04. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Thursday 20.04. 15:00 - 16:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Friday 21.04. 11:30 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Friday 21.04. 13:15 - 14:45 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Friday 21.04. 15:00 - 16:30 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Friday 21.04. 16:45 - 18:15 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Friday 21.04. 18:30 - 20:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 24.04. 11:30 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 24.04. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 24.04. 15:00 - 16:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 24.04. 16:45 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 24.04. 18:30 - 20:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Group 2
service email address: opim.bda@univie.ac.at
max. 25 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Monday 17.04. 09:45 - 11:15 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß (Kickoff Class)
- Wednesday 19.04. 09:45 - 11:15 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 24.04. 09:45 - 11:15 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 26.04. 09:45 - 11:15 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 03.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 03.05. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 08.05. 11:30 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 10.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 15.05. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 17.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 22.05. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 24.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 31.05. 09:45 - 13:05 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 05.06. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Information
Aims, contents and method of the course
Assessment and permitted materials
Your final grade is determined by your performance on the quizzes, assignments, presentations and class participation.
Make-up exams will not be given unless the student has a medical or other serious reason.
Students should hand in homework assignments before class on the day they are due. Assignments will be distributed in class or on line. each student must write up his or her answers separately.
Exam review is possible during regular semester time by appointment.
Make-up exams will not be given unless the student has a medical or other serious reason.
Students should hand in homework assignments before class on the day they are due. Assignments will be distributed in class or on line. each student must write up his or her answers separately.
Exam review is possible during regular semester time by appointment.
Minimum requirements and assessment criteria
Basic knowledge of Business Mathematics and Statistics are required.
Your final grade is determined by your performance on the quizzes, assignments, presentations, final essay and class participation.
Passing grades can generally not be earned by students who miss more than 20% of the total class-time.
Make-up exams will not be given unless the student has a medical or other serious reason.
Assignments will be distributed in class or on line. each student must write up his or her answers separately.
Your final grade is determined by your performance on the quizzes, assignments, presentations, final essay and class participation.
Passing grades can generally not be earned by students who miss more than 20% of the total class-time.
Make-up exams will not be given unless the student has a medical or other serious reason.
Assignments will be distributed in class or on line. each student must write up his or her answers separately.
Examination topics
Assignments, presentation, class attendance and participation.
Reading list
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
- 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 14.04.2023 16:07
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.