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Analysis of Economic Information

Type of study Bachelor
Language of instruction English
Code 151-0551/01
Abbreviation AEI a
Course title Analysis of Economic Information
Credits 4
Coordinating department Department of Mathematical Methods in Economics
Course coordinator doc. Ing. Václav Friedrich, Ph.D.

Subject syllabus

1. System of economic and social statistical indicators of the Czech Republic.
2. Data processing from public databases of the CZSO and MF CR.
3. Individual simple and compound indices.
4. Summary indices, analysis of heterogeneous data.
5. Price and volume indices in economic practice.
6. Spatial comparison indices.
7. Selected subjective methods of forecasting.
8. Future development scenarios, scenario creation.
9. Time series and their basic properties.
10. Basic methods of time series trend modelling.
11. Exponential time series balancing.
12. Boxing-Jenkins methodology (ARIMA).

E-learning

- The subject is supported by an interactive course in LMS Moodle.
- Ongoing tasks are submitted and assessed via LMS Moodle.

Literature

GIOVANNINI, Enrico. Understanding the World Economy: Through OECD Statistics. Paris: Organization for Economic Co-operation and Development (OECD), 2008. ISBN 978-92-64-03312-2 . Available from: https://www.oecd.org/std/41746710.pdf
ALLEN, R G D. Index Numbers in Economic Theory and Practice. London and New York: Palgrave MacMillan, 2017. ISBN 978-1349023134 .
WAGNER, William E. Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics. 7th Edition. Los Angeles: SAGE Publications, 2020. ISBN 978-1506389004 .

Advised literature

SCHUTT, Russell K. Understanding the Social World: Research Methods for the 21st Century. 2nd Edition. Los Angeles: SAGE Publications, 2021. ISBN 978-1544334684 .
BALK, Bert M. Price and Quantity Index Numbers: Models for Measuring Aggregate Change and Difference. Reprint Edition. Cambridge: Cambridge University Press, 2012. ISBN 978-1107404960 .
PALLANT, Julie. SPSS Survival Manual: A step by step guide to data analysis using IBM SPSS. 7th Edition. London: Routledge, 2021. ISBN 978-0367719463 .