639-3002/05 – Econometrics (EM)
| Gurantor department | Department of Quality Management | Credits | 5 |
| Subject guarantor | Ing. Filip Tošenovský, Ph.D. | Subject version guarantor | Ing. Filip Tošenovský, Ph.D. |
| Study level | undergraduate or graduate | | |
| | Study language | English |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | FMT | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
Knowledge of methods of econometric analysis usable in quality management: regression modelling of relations among variables under standard and nonstandard data conditions, the Box-Jenkins time series analysis applicable to construction of nonstandard control charts, the Taguchi loss functions for evaluating low quality - incurred financial losses.
Teaching methods
Lectures
Tutorials
Project work
Summary
The subject econometrics expands the subject matter of regression analysis, so that it complies with requirements of diverse industries, and quality management in particular.
Studied are conditions under which standard techniques of modelling relations among variables are usable, and also alternative techniques for the cases when the standard methods fail due to a specific character of datasets - something that occurs often in industrial applications. The subject matter is extended with the theory of time series - the classical and particularly the Box-Jenkins methodology. The latter finds its applications within quality management when nonstandard control charts are constructed. The classical structure of the subject is further complemented with the Taguchi loss functions, a basis for evaluation of low quality - induced financial losses.
Compulsory literature:
TOŠENOVSKÝ, F. Econometrics. Studijní opora. Dostupné z: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://lms.vsb.cz/pluginfile.php/2886695/mod_resource/content/1/Econometrics.pdf
WOOLDRIDGE, J.M. Introductory Econometrics. 8th Edition. 2025. Cengage Learning. ISBN-13: 978-0357900161.
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
Two tests in the course of the semester, where the score is counted towards the cumulative credit points.
One project, where the score is counted towards the cumulative credit points.
The examination is in written form.
E-learning
https://www.vsb.cz/e-vyuka/cs/subject/639-3002/05
http://www.person.vsb.cz/archivcd/FMMI/DOE/index.htm
from pages 151
Other requirements
80% attendance in seminars, handing in assigned programs.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Classical regression and its applications in industry
2. Modelling in industries and the problem of heteroscedasticity
3. Modelling in industries and the problem of multicollinearity
4. Time series, their typology and characteristics
5. Modelling in industries and the problem of autocorrelation described by time series
6. Control charts and ARMA models for stationary time series
7. ARIMA models for nonstationary time series
8. Modelling time series with moving averages and exponential smoothing
9. Taguchi loss functions
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction