040043 UK Microeconometrics (MA) (2019W)
Continuous assessment of course work
Labels
Diese Lehrveranstaltung gilt ebenso für die Pflichtlehrveranstaltung / This course correlates with the compulsory course: "Introductory Econometrics" for the Master Programme "Banking & Finance".
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 16.09.2019 09:00 to Mo 23.09.2019 12:00
- Registration is open from Th 26.09.2019 09:00 to Fr 27.09.2019 12:00
- Deregistration possible until Mo 14.10.2019 12:00
Details
max. 100 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 03.10. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 08.10. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 15.10. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 17.10. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 22.10. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 24.10. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 31.10. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 05.11. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 07.11. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 12.11. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 14.11. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 26.11. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 28.11. 13:15 - 14:45 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 03.12. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 05.12. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 10.12. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 16.12. 13:15 - 14:45 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 17.12. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 07.01. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 09.01. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 10.01. 11:30 - 13:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 14.01. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 16.01. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 17.01. 11:30 - 13:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 21.01. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 23.01. 13:15 - 14:45 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 28.01. 16:45 - 18:15 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 31.01. 16:45 - 18:15 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
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.
Minimum requirements and assessment criteria
Rating:
[85%; 100%]: 1.0
[70%; 85%): 2.0
[55%; 70%): 3.0
[40%; 55%): 4.0
[0; 40%): 5.0
[85%; 100%]: 1.0
[70%; 85%): 2.0
[55%; 70%): 3.0
[40%; 55%): 4.0
[0; 40%): 5.0
Examination topics
Basic knowledge in linear regression, linear algebra and probability theory.
All material covered in class and in the tutorials.
All material covered in class and in the tutorials.
Reading list
Association in the course directory
Last modified: Mo 07.09.2020 15:19
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 STATAThe 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