Economic Statistics I
- Credits: 6
- Ending: Examination
- Range: 2P + 2C
- Semester: summer
- Year: 2
- Faculty of Economic Informatics
Teachers
Included in study programs
Teaching results
At the end of the semester, students will have an overview of indicators and statistical methodological tools suitable for the analysis of economic phenomena at the level of the national economy, more specifically:
In particular, students acquire the following abilities:
₋ After completing the course, students will be able to apply appropriate statistical methods in the analysis of economic phenomena at the national economic level.
Students acquire in particular the following skills:
₋ Students will be able to understand statistical indicators and their explanatory power in relation to economic phenomena. They will gain knowledge about the possibilities of analysis of economic phenomena at the level of the national economy.
Students will acquire the following competencies:
₋ Students will be able to select appropriate statistical indicators for economic analysis, will be able to interpret obtained results correctly and make appropriate decisions based on them.
Indicative content
The course provides knowledge about methods of statistical analysis, evaluation and comparison of changes in indicators of labor, material inputs and outputs. It presents ways of constructing intensity indicators describing the relationships between inputs and outputs of the economic process at the macroeconomic level.
Support literature
1. HURBÁNKOVÁ, Ľ. – SIVAŠOVÁ, D.: Hospodárska štatistika I. Bratislava: Ekonóm, 2018
2. FRIEDRICH, V. – MAJOVSKÁ, R.: Výběr z ekonomické statistiky. Praha: Wolters Kluwer ČR,
3. 2010
4. GIOVANNINI, E.: Understanding Economic Statistics: an OECD perspective. Paris. OECD 2008
5. HINDLS, R.: Statistika pro ekonomy. Praha: Professional Publishing, 2007
6. JÍLEK, J. – MORAVOVÁ, J.: Ekonomické a sociální indikátory: od statistiky k poznatkum. Praha: Futura, 2007
7. JÍLEK J. a kol.: Nástin sociálněhospodářské statistiky. VŠE Praha. 2005
8. ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT STAFF: OECD Factbook 2005: Economic, Environmental and Social statistics. OECD, 2005
9. ULLAH, A.: Handbook of applied economic statistics. CRC Press, 1998
Literature will be continuously updated with the latest scientific and professional titles.
Syllabus
1. Introduction to economic statistics I – definition, subject of research, task. 2. Methodical apparatus of economic statistics – methodical tools taken from the theory of statistics (rate of difference, absolute geometric deviation, average absolute geometric deviation, geometric variance, contribution method, measurement of elasticity). 3. Methodological apparatus of economic statistics – methodological tools developed in economic statistics (classifications, quantification of the structure of aggregates and its changes). 4. Methodological apparatus of economic statistics – methodological tools developed in economic statistics (methods of index analysis, procedures for quantification of absolute changes of aggregates). 5. Demography statistics – demographic statics, demographic dynamics. 6. The aging process and the impact on labor resources. 7. Labor input statistics – extensive and intensity indicators, analysis of the development of the average rate of economic activity and the average unemployment rate. 8. Quantification of absolute changes in the number of economically active persons and the number of unemployed. 9. Statistics of labor input costs – extensive and intensity indicators, analysis of the development of the average wage and total wages. 10. Unit labor costs – calculation, conditions of development, valuation, measurement of inflation. 11. Statistics of material inputs – extensive and intensity indicators, measuring the elasticity of capital, application of the contribution method. 12. Output statistics – equilibrium relations between sources and use of production, macroeconomic indicators of output, methods of calculating gross domestic product. 13. Valuation of macroeconomic aggregates, nominal and real aggregates, statistical deflation.
Requirements to complete the course
30% assignment
70% final paper (30% theoretical part, 40% practical – examples solution)
Student workload
Total study load (in hours): 156 hours
Distribution of study load
Lectures participation: 26 hours
Seminar participation: 26 hours
Preparation for seminars: 13 hours
Preparation for written assignment: 39 hours
Final paper preparation: 52 hours
Language whose command is required to complete the course
Slovak
Date of approval: 11.03.2024
Date of the latest change: 03.02.2022