157-0379/01 – Microeconomics (ME)
| Gurantor department | Department of Systems Engineering | Credits | 5 |
| Subject guarantor | prof. Ing. Jana Hančlová, CSc. | Subject version guarantor | prof. Ing. Jana Hančlová, CSc. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | winter |
| | Study language | Czech |
| Year of introduction | 2020/2021 | 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 understand and master the process of econometric analysis of the economic behavior of individual entities (e.g. companies) using cross-sectional or panel econometric modeling.
Teaching methods
Lectures
Individual consultations
Tutorials
Project work
Summary
The aim of the course is to understand and master the process of econometric analysis of the economic behavior of individual entities (e.g. companies) using cross-sectional or panel econometric modeling.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
Credit:
- active participation in seminars, presentation of the project topic within the 4th week of teaching,
- processing of the project according to the required structure and submission in LMS Moodle.
- getting at least 23 points out of 45.
Exam:
- oral - defense of the project and oral questions from the given topics in LMS Moodle.
E-learning
Students have all presentation, case studies, assignments and exercise data in LMS Moodle.
LMS Moodle
Other requirements
Active participation in exercises.
Elaboration and defense of project with respect to the required structure.
Inserting of this project into the LMS and obtaining a simple majority of the number of points.
Submission of the processed project by January 5, 2024.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Introduction to econometrics (definition of econometrics and microeconometrics, relationship to other scientific disciplines, clarification of basic terms, emergence of econometrics, process of econometric modeling, specifics of microeconometric modeling).
2. Microeconomic data, their structure and analysis.
3. Simple cross-sectional linear regression model (meaning of regression analysis, population versus sample regression line, essence of MNČ, fit of regression line to data, assumptions of classic simple regression model and their verification).
4. Multiple cross-sectional regression model (definition of the classical multivariate linear regression model, assumptions, matrix notation, corrected coefficient of determination).
5. Statistical verification (regression coefficients, model as a whole).
6. Econometric verification - autocorrelation, heteroskedasticity, multicollinearity, normality, model specification.
7. Nonlinear functional forms.
8. Technique of dummy variables.
9. Prediction.
10.Linear panel models (definition of panel models, fixed effects, random effects).
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction