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. PrognosisPart II: Multiple linear regression model
1. Valuation
2. The quality of valuation
3. Hypotheses tests
4. Prognosis
5. Presentation of valuation outcomePart 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 workload Type of teaching Media implementation Concretization 60 Lecture Presence - Lecturer independent learning Hours of workload Type of teaching Media implementation Concretization 90 Preparation/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