151-0317/01 – Econometrics (EKON)

Gurantor department	Department of Mathematical Methods in Economics	Credits	4
Subject guarantor	prof. Ing. Jana Hančlová, CSc.	Subject version guarantor	doc. Ing. Jan Nevima, Ph.D.
Study level	undergraduate or graduate	Requirement	Compulsory
Year	2	Semester	winter
		Study language	Czech
Year of introduction	2004/2005	Year of cancellation	2010/2011
Intended for the faculties	EKF	Intended for study types

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
HAN60	prof. Ing. Jana Hančlová, CSc.
NEV050	doc. Ing. Jan Nevima, Ph.D.

Extent of instruction for forms of study
Form of study	Way 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

Lectures
Individual consultations
Tutorials
Project work

Summary

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.

E-learning

viz Moodle

Other requirements

Prerequisities

Subject has no prerequisities.

Co-requisities

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 name	Type of task	Max. number of points (act. for subtasks)	Min. number of points	Max. počet pokusů
Exercises evaluation and Examination	Credit and Examination	100 (100)	51	3
Exercises evaluation	Credit	45 (45)	0	3
Project	Project	45	0	3
Examination	Examination	55 (55)	0	3
Oral	Oral examination	55	0	3

Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic year	Programme	Branch/spec.	Spec.	Form	Study language	Tut. centre	Year	Type 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 name	Academic year	Form of study	Study language	Year	W	S	Type of block	Block owner

Assessment of instruction

Předmět neobsahuje žádné hodnocení.