157-0379/01 – Microeconomics (ME)

Gurantor departmentDepartment of Systems Engineering and InformaticsCredits5
Subject guarantorprof. Ing. Jana Hančlová, CSc.Subject version guarantorprof. Ing. Jana Hančlová, CSc.
Study levelundergraduate or graduateRequirementCompulsory
Year2Semesterwinter
Study languageCzech
Year of introduction2020/2021Year of cancellation
Intended for the facultiesEKFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
CHY0034 Mgr. Ing. Lucie Chytilová, Ph.D.
HAN60 prof. Ing. Jana Hančlová, CSc.
SVA0158 Ing. Miloš Švaňa
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2

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:

DURLAUF, S.N. and L.E. BLUME. Microeconometrics. Houndmills: Palgrave Macmillan, 2010. ISBN: 978-0-230-23881-7. GUJARATI, Damodar N. Basic Econometrics. 4th ed. Singapore: Mc Graw-Hill, 2003, 1002 s. ISBN 0-07-233542-4. LEE, Myoung-jae. Micro-econometrics. New Yourk: Springer, 2010. ISBN 78-0-387-95376-2.

Recommended literature:

GREENE, William.H. Econometric Analysis. Pearson Education, 2008. ISBN 9780135137406. HEIJ, CH. et al: Econometrics Methods with Applications in Business and Economics. Oxford: Oxford University Press, 2004. ISBN 0-19-926801-0. WONNACOTT, R. J. and WONNACOTT, T.H. Econometrics. Florence Taylor and Francis Ann Arbor, Michigan ProQuest 2014.

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

Full-time form (validity from: 2020/2021 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51 3
        Credit Credit 45  23
        Examination Examination 55  28 3
Mandatory attendence participation: Credit: - active participation in seminars, presentation of the project topic, - 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.

Show history

Conditions for subject completion and attendance at the exercises within ISP: Credit: – participation in training sessions as agreed, submission of the project topic by the given deadline, - project processing according to the required structure and submission in the LMS, - obtaining at least 23 points out of 45. Exam: – oral – defense of the project and oral questions from the given areas in LMS Moodle.

Show history

Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2023/2024 (N0688A050001) Information and Knowledge Management KM P Czech Ostrava 2 Compulsory study plan
2022/2023 (N0688A050001) Information and Knowledge Management KM P Czech Ostrava 2 Compulsory study plan
2021/2022 (N0688A050001) Information and Knowledge Management KM P Czech Ostrava 2 Compulsory study plan
2020/2021 (N0688A050001) Information and Knowledge Management KM P Czech Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2022/2023 Winter