Course: Economic statistics
Course type: compulsory
Lecturer: Jože Sambt, Ph.D., Assistant Professor
Study programme and level | Study field | Academic year | Semester |
---|---|---|---|
Applied statistics, second level | Economic and business statistics | 1st | 2nd |
For the timeline see Curriculum.
Prerequisites:
- Enrolment into the first year of the programme is required to participate in the course.
- Positively graded assignment is a prerequisite for the written exam.
Content (Syllabus outline):
Starting points:
- Relations between economic statistics, official statistics and macroeconomics.
- Relevance of economic statistics for economic policy and business decision making.
Macroeconomic statistics:
- System of national accounts as a conceptual framework for measurement in economics (definitions, units, classifications).
- Indices.
- Production statistics and price statistics.
- International comparisons.
- Financial statistics.
Demographic and social statistics:
- Population statistics.
- Labour market statistics.
- Living conditions statistics.
Business statistics:
- Short-term economic activity.
- Statistics of selected topics (e.g. tourism, agriculture, trade).
- Structural business statistics.
Other relevant topics (e.g. environmental statistics).
Objectives and competences:
Course objective is to enable students, by using modern information technologies, to:
- collect or find adequate statistical data and correctly analyze and interpret them;
- explain basic economic, social and business implications of published statistical data;
- identify examples of incorrect use of statistics.
Competences:
- Understanding conceptual foundations of economic statistics and judging quality and limitations of the indicators from the field of economic statistics based on methodological knowledge.
- Ability to search, evaluate and use conceptually adequate secondary economic-statistical data.
- Ability to collect, evaluate and use conceptually adequate primary economic-statistical data.
- Ability to use statistical software tools for conducting statistical analysis, working with statistical databases and presenting and disseminating statistical data and the results of statistical analysis.
Intended learning outcomes:
Students will be introduced to the main statistical concepts of economic phenomena and processes. They will deepen their understanding of relations between economic-theoretical categories, their statistical operationalization and statistical measurement in practice – especially from the perspective of modern statistical theory and practice.