114-0328/01 – Economics in Practice (EvP)
| Gurantor department | Department of Economics | Credits | 6 |
| Subject guarantor | doc. Ing. Jiří Balcar, Ph.D., MBA | Subject version guarantor | doc. Ing. Jiří Balcar, Ph.D., MBA |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | winter |
| | Study language | Czech |
| Year of introduction | 2023/2024 | Year of cancellation | |
| Intended for the faculties | EKF | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The aim of the course is to solve economic problems of practice using selected quantitative methods. The emphasis is on gaining the perspective of professional analysts/researchers and learning how they think and solve practical problems. Upon completion of the course, students will be equipped with a broad portfolio of tools relevant to conducting most common types of analysis in their future employment.
Teaching methods
Lectures
Tutorials
Summary
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
ISP: Processing of a set of tasks through a seminar paper, test.
For other students the same conditions apply.
E-learning
Other requirements
Course requirements include active class participation and home-works, and a final exam.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. The importance of quantitative methods for the analysis of real economic problems; introduction to the STATA program
2-3. Impact of gender on labour market status (descriptive analysis, correlation, hypothesis testing)
4-5. Laffer curve (linear regression, OLS, plausibility of estimation, model selection criteria)
6-7. Consumption functions (linear panel data models, static and dynamic models)
8. Environmental migration (probabilistic models)
9-10. Mincer function and wage analysis (endogeneity, estimation using IV method, selection bias)
11. Macroeconomic agregates, inflation, GDP and unemployment (time series and volatility analysis)
12. Measuring the effectiveness of targeted programs (experiments, treatment effects, propensity score matching)
13-14. Selected methodological issues (interaction of variables, ordinal data analysis, factor analysis, cluster analysis, export of results, etc.)
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.