DE

Modul

Statistics and Econometrics [M-WIWI-101599]

Credits
9
Recurrence
Jedes Semester
Duration
1 Semester
Language
German
Level
3
Version
6

Responsible

Organisation

  • KIT-Fakultät für Wirtschaftswissenschaften

Part of

Bricks

Identifier Name LP
T-WIWI-106623 Technical Conditions Met 0
T-WIWI-103066 Data Mining and Applications 4.5
T-WIWI-102736 Economics III: Introduction in Econometrics 5
T-WIWI-103063 Analysis of Multivariate Data 4.5
T-WIWI-103065 Statistical Modeling of Generalized Regression Models 4.5
T-WIWI-110939 Financial Econometrics II 4.5
T-WIWI-112153 Microeconometrics 4.5
T-WIWI-103064 Financial Econometrics 4.5

Competence Certificate

The assessment is carried out as partial written exams (according to Section 4(2), 1 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The examinations are offered every semester. Re-examinations are offered at every ordinary examination date. The assessment procedures are described for each course of the module seperately.

The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal

The student

  • shows an advanced understanding of Econometric techniques and statistical model building.
  • is able to develop Econometric models for applied problems based on available data
  • is able to apply techniques and models with statistical software, to interpret results and to judge on different approaches with appropriate statistical criteria.

Prerequisites

The course "Economics III: Introduction in Econometrics“ is compulsory and must be examined. In case the course „Economics III: Introduction in Econometrics“ has already been examined within the module „Applied Microeconomics“, the course „Economics III: Introduction in Econometrics“ is not compulsory.

Content

The courses provide a solid Econometric and statistical foundation of techiques necessary to conduct valid regression, time series and multivariate analysis.

Workload

The total workload for this module is approximately 270 hours.