Course Unit Code | 151-0351/03 |
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Number of ECTS Credits Allocated | 4 ECTS credits |
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Type of Course Unit * | Choice-compulsory |
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Level of Course Unit * | First Cycle |
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Year of Study * | Second Year |
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Semester when the Course Unit is delivered | Summer Semester |
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Mode of Delivery | Face-to-face |
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Language of Instruction | Czech |
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Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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Name of Lecturer(s) | Personal ID | Name |
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| FRI02 | doc. Ing. Václav Friedrich, Ph.D. |
Summary |
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In economic analyses, we often encounter the need to evaluate and compare economic phenomena using appropriate indicators. These tools are provided by the area of statistics, called economic and social statistics.
The course "Economic Information Analysis" introduces students to basic methods of economic information analysis using two economic statistics tools: indexes and time series. Students will also get acquainted with the current Czech system of economic and social statistics indicators and its links to the harmonized system within the EU.
Microsoft Excel and IBM SPSS Statistics software tools are used in this course. Individual topics are trained on particular practical examples and tasks.
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Learning Outcomes of the Course Unit |
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The main aim of the course "Analysis of Economic Information" is to introduce students into the basic methods of creation, identification and analysis of economic statistical indicators and their interconnection. The course is based on two important types of statistical indicators, which are indexes and time series.
Upon successful completion of this course, students will acquire the following knowledge, skills and abilities:
• They will learn the methodology of economic indicators used in the state statistics of the Czech Republic and in international statistics.
• They will be able to express the temporal and spatial changes of economic indicators in the form of indexes and analyse them in Microsoft Excel.
• They will practice the basic methods of designing and developing forecasting scenarios.
• They will also get acquainted with basic types of economic time series and selected methods of their analysis in IBM SPSS Statistics.
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Course Contents |
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1. Statistical indicators, differences and indexes
2. Individual and aggregate indexes
3. Composite indexes
4. Indexes in the economic practice
5. Time series of indexes
6. Decomposition of the indexes and differences
All the themes are trained using selected practical examples and tasks.
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Recommended or Required Reading |
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Required Reading: |
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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.
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MACEK, J.; FISCHER, J. a kol. (2008). Ekonomická a sociální statistika. Plzeň: Vydavatelství ZČU v Plzni. ISBN 978-80-7043-642-4.
FRIEDRICH, V.; MAJOVSKÁ, R. (2010). Výběr z ekonomické statistiky: Od OECD k České republice. Praha: Wolters Kluwer ČR. 60 s. ISBN 978-80-7357-537-3.
JEFF, R. et all. (2015). A Practical Introduction to Index Numbers. John Wiley & Sons, Ltd. ISBN 978-1-1189-777-8. Available from (for VSB-TUO staff and students): https://onlinelibrary.wiley.com/doi/book/10.1002/9781118977781
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Recommended Reading: |
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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.
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GIOVANNINI, E. (2010). Ekonomická statistika srozumitelně: Z pohledu OECD. Překlad Václav Friedrich a Renata Majovská. 1. vydání. Praha: Wolters Kluwer ČR. 208 s. ISBN 978-80-7357-536-6.
BAKYTOVÁ H.; PAŽITNÁ. M. (2007). Metódy štatistického porovnávania. Bratislava: Vydavateľstvo Ekonóm, 179 s. ISBN 978-80-225-2285-4.
ARLT, J.; ARLTOVÁ, M. a RUBLÍKOVÁ, E. (2002). Analýza ekonomických časových řad s příklady. Praha: VŠE, 2002. ISBN 80-245-0307-7. Dostupné z: https://nb.vse.cz/~arltova/vyuka/crsbir02.pdf
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Planned learning activities and teaching methods |
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Lectures, Individual consultations, Tutorials, Project work |
Assesment methods and criteria |
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Task Title | Task Type | Maximum Number of Points (Act. for Subtasks) | Minimum Number of Points for Task Passing |
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Exercises evaluation | Credit | 85 | 45 |