151-0317/01 – Econometrics (EKON)

Gurantor departmentDepartment of Mathematical Methods in EconomicsCredits4
Subject guarantorprof. Ing. Jana Hančlová, CSc.Subject version guarantordoc. Ing. Jan Nevima, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Study languageCzech
Year of introduction2004/2005Year of cancellation2010/2011
Intended for the facultiesEKFIntended for study types
Instruction secured by
LoginNameTuitorTeacher giving lectures
HAN60 prof. Ing. Jana Hančlová, CSc.
NEV050 doc. Ing. Jan Nevima, Ph.D.
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

Aims of the course: The course covers basics of econometric modeling, methods and techniques of quantitative macro and microeconomic analysis and forecasting. It assumes knowledge in economics, mathematics and statistics. Software product SPSS is used in the exercises.

Teaching methods

Individual consultations
Project work


1. Introduction to econometrics ( subject of economterics, metodology of econometrics) 2. Simple linear regression function ( the nature of regression analysis, the concept of population and sample regression function ( deterministic and stochastic version), the method of ordinary least squares, coefficient of determination) 3. Statistical verification ( testing od regression coefficients, the overall of sample regression model) 4. Autocorrelation (the nature, the consequences of autocorrelation, detection, removing). 5. Heteroscedasticity ( the nature, its consequences, detection, removing, WOLS) 7. Multicollinearity ( ( the nature, its consequences, detection, removing). 8. Model specification (model selection criteria, types of specification errors, consequences, tests) 9. Prediction (ex-post and ex-ante, mean and individual prediction, point and interval prediction). 10. Functional form of regression models (exponencial regression model, semilog models, reciprocal models). 11. Dummy variable regression models.

Compulsory literature:

1. GUJARATI, D.N. Basic Econometrics. 4th Ed., Singapore: Mc Graw-Hill, 2003. ISBN 0-07-233542-4. 2. LMCS Moodle: http://moodle.vsb.cz/vyuka 3. WOOLDRIDGE, J. Introductory Econometrics: A Modern Approach (with Economic Applications Online, Econometrics Data Sets with Solutions Manual, Web Site Printed Access Card), Student Solutions Manual Printed Access Card.). 4th ed. Mason. Ohio: South Western Cengage Learning, 2008. ISBN 9780324581621.

Recommended literature:

1. BROOKS, CH.: Introductory econometrics for finance. Cambridge: Cambridge University Press, 2002. ISBN 0-521-79018-2. 2. GREENE, W.H. Econometric Analysis. Pearson Education, 2008. ISBN 9780135137406. 3. HEIJ, CH. et al: Econometrics Methods with Applications in Business and Economics. Oxford: Oxford University Press, 2004. ISBN 0-19-926801-0. 4. RAMANATHAN, R. Introductory Econometrics with Applications. 5th edition. Harcourt College Publishers, 2002. ISBN-13: 978-0030343421.

Way of continuous check of knowledge in the course of semester

1. Korespondeční úkol KU1 = odevzdání tématu projektu, analýza časoých řad, návrh modelu, první odhad modelu v SPSS = ( dokonce října), kontrola na cvičení. 2. Průběžná kontrola práce na semestrálním projektu na cvičeních - po statsitické veriifkaci, po ekonometrické verifikaci, po predikci.


viz Moodle

Other requirements


Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

Tématická náplň předmětu: Ekonometrie 1. Úvod do ekonometrie. 2. Jednoduchý lineární regresní model. 3. Vícenásobný regresní model. 4. Statistická verifikace. 5. Ekonometrická verifikace. 6. Specifikace, predikce modelu. 7. Funkční formy regresních modelů. 8. Technika umělých proměnných. 9. Časové řady. Podrobnější informace o obsahové náplni jednotlivých přednášek včetně časového harmonogramu jsou uvedeny v elektronickém kurzu Ekonometrie v Institutu vzdělávání.

Conditions for subject completion

Full-time form (validity from: 1960/1961 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 45 (45) 0
                Project Project 45  0
        Examination Examination 55 (55) 0
                Oral Oral examination 55  0
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2005/2006 (N6208) Economics and Management (6208T062) Marketing and Business (01) Marketing and Business P Czech Ostrava 1 Choice-compulsory study plan
2005/2006 (N6209) Systems Engineering and Informatics (1802T001) Applied Informatics P Czech Ostrava 1 Choice-compulsory study plan
2005/2006 (N6202) Economic Policy and Administration (6202T010) Finance (00) Finance P Czech Ostrava 2 Compulsory study plan
2004/2005 (N6208) Economics and Management (6208T062) Marketing and Business (01) Marketing and Business P Czech Ostrava 1 Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner