Universität Wien FIND

Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice (e.g. cancellation of on-site teaching and conversion to online exams). Register for courses/exams via u:space, find out about the current status on u:find and on the moodle learning platform.

Further information about on-site teaching can be found at https://studieren.univie.ac.at/en/info.

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

040043 UK Microeconometrics (MA) (2020W)

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

Diese Lehrveranstaltung gilt ebenso für die Pflichtlehrveranstaltung / This course correlates with the compulsory course: "Introductory Econometrics" for the Master Programme "Banking & Finance".

Registration/Deregistration

Details

max. 92 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Dear all,
this course in micro-econometrics will be offered fully online in the winter semester 2020/21. For this course there will be no classroom teaching. Information on the exams will follow in the next weeks.

Thursday 01.10. 20:15 - 22:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 06.10. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 08.10. 20:15 - 22:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 13.10. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 15.10. 20:15 - 22:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 20.10. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 22.10. 20:15 - 22:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 27.10. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 29.10. 20:15 - 22:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 03.11. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 05.11. 20:15 - 22:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 10.11. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 12.11. 20:15 - 22:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 24.11. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 26.11. 20:15 - 22:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 01.12. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 03.12. 20:15 - 22:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 10.12. 20:15 - 22:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 15.12. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 17.12. 20:15 - 22:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 07.01. 20:15 - 22:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 12.01. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 14.01. 20:15 - 22:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 19.01. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 21.01. 20:15 - 22:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

Aim of the course:
i. Providing a sound background econometric models for qualitative dependent variables, models for limited dependent variables, and panel data
ii. Implementing econometric theory using real data
iii. Practicing programing in R

The following topics are targeted in particular:

1. A Review of Linear Regression
2. Generalizations of the Linear Model
3. Maximum Likelihood
4. Instrumental Variable Estimation
5. Models for Qualitative Dependent Variables
6. Models for Limited Dependent Variables
7. Panel Data

Assessment and permitted materials

Assessment is based on a written test (50%), a small independent empirical econometric project (40%) and attendance of classes (10%), i.e. max. 2 lectures can be skipped. To pass the course, a minimum of 50% is required.

Since the course will be offered online information an the exams will follow in the next weeks.

Minimum requirements and assessment criteria

Rating:
[90%; 100%]: 1.0
[75%; 90%): 2.0
[60%; 75%): 3.0
[50%; 60%): 4.0
[0; 50%): 5.0

Examination topics

Basic knowledge in linear regression, linear algebra and probability theory.
All material covered in class and in the tutorials.

Reading list


Association in the course directory

Last modified: Th 01.10.2020 10:48