Econometrics

Faculty

Faculty of Business Management and Social Sciences

Version

Version 1 of 05.02.2025.

Module identifier

22B0942

Module level

Bachelor

Language of instruction

English

ECTS credit points and grading

5.0

Module frequency

only summerterm

Duration

1 semester

 

 

Brief description

Applied business research is almost always empirical i.e. nearly always uses actual measurements/observations in order to investigate research questions. Econometrics is a key qualification in this context.

Teaching and learning outcomes

Part I: Simple linear regression model 
1. Valuation with the method of the smallest squares 
2. The quality of the valuation
3. Interval valuator
4. Hypotheses tests
5. Prognosis

Part II: Multiple linear regression model
1. Valuation
2. The quality of valuation
3. Hypotheses tests
4. Prognosis
5. Presentation of valuation outcome

Part III: Econometric problems with economic-empirical practice
1. Selection of variables
2. Normally distributed disturbance variables
3. Multi-collinearity
4. Heteroscedasticity
5. Autocorrelation
6. Univariate time series models
7. Dynamic model equations

Overall workload

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

Teaching and learning methods
Lecturer based learning
Hours of workloadType of teachingMedia implementationConcretization
60LecturePresence-
Lecturer independent learning
Hours of workloadType of teachingMedia implementationConcretization
90Preparation/follow-up for course work-
Graded examination
  • Written examination or
  • Portfolio exam or
  • Portfolio exam
Remark on the assessment methods

PFP-1: The portfolio exam covers 100 points and consist of one written paper (HA) and a one-hour written examination (K1). The written paper and the examination are weighted by 50 points each. 

PFP-2: The portfolio exam covers 100 points and consist of two one-hour written examination (K1). Each K1 is weighted by 50 points.

Exam duration and scope

Written examination: in accordance with the valid study regulations

Written paper: approx. 10 pages

The requirements are specified in the relevant class.

Recommended prior knowledge

Statistics

Knowledge Broadening

Students know the most important econometric methods.

Application and Transfer

Students can apply econometric methods to issues of practical relevance.

Communication and Cooperation

Students can interpret and communicate results.

Literature

Field, Andy, Miles, Jeremy, Field, Zo? (2012) Discovering statistics using R. Sage publications
Hyndman, Rob J., Athanasopoulos, G. (2018) Forecasting: principles and practice. OTexts
Assenmacher (2004):  ?konometrie, Oldenbourg
Eckey, Kosfeld, Dreger (2004): ?konometrie, Gabler 
Wooldridge, J.M. (2006). Introductory Econometrics. A Modern Approach, 3. ed, Thomson South-Western.
Goldberger, A.S. (1991). A Course in Econometrics, Harvard University Press
H?rdle, W., Müller, M., Sperlich, S. und Werwatz, A. (2004), Nonparametric and Semiparametric Models, Springer Verlag

Linkage to other modules

The module builds on the knowledge from the statistics module.

Applicability in study programs

  • International Economics and Sustainability
    • International Economics and Sustainability B.A. (01.09.2024)

    Person responsible for the module
    • Faatz, Andreas
    Teachers
    • Faatz, Andreas