Module: Advanced Module Statistics & Econometrics (5202-350)

Persons:

• Prof. Dr. Robert Jung (verantwortlich)
• Prof. Dr. Aderonke Osikominu (verantwortlich)

Degree Program:

• Business Administration and Economics (Bachelor, since 28.07.2010)
  5. Semester, compulsory
• Business Administration and Economics (Bachelor, since 01.10.2015)
  5. Semester, compulsory

Prerequisites for Attendance:

none

Sprache:

German/English

ECTS:

6 credits

Frequency:

every summer semester

Length of the Module:

1 semester

Compulsory assignment:

written exam

Length of the examination:

90 minutes

Workload:

180 hours: 42 hours class attendance (lecture and exercise) 138 hours preparation and follow-up, preparation for the exam and exam

Professional competences:

The students have in-depth knowledge of the classical linear regression model and its main generalisations. They know and understand the problems which typically occur with the application of the classical model on time series. They are able to recognise the problems occuring with this model, to name and to describe solution approaches, and are able to evaluate them critically. They are able to independently use the statistics software package STATA for problem solving.

Comments:

One of the two offered courses must be elected.
The content of the basic module "Statistics and Econometrics" is expected to be known.

Courses