157-0588/01 – Introduction to Econometrics (INECON)

Gurantor departmentDepartment of System EngineeringCredits5
Subject guarantorprof. Ing. Jana Hančlová, CSc.Subject version guarantorprof. Ing. Jana Hančlová, CSc.
Study levelundergraduate or graduateRequirementChoice-compulsory
Year3Semesterwinter
Study languageEnglish
Year of introduction2012/2013Year of cancellation2014/2015
Intended for the facultiesEKFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
CHY0034 Mgr. Ing. Lucie Chytilová, Ph.D.
HAN60 prof. Ing. Jana Hančlová, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit 1+2

Subject aims expressed by acquired skills and competences

The goal is to: - be able to describe and apply the process of analyzing of economic time series, - understand the process of modeling the behavior of economic system based on regression analysis, - select and use appropriate econometrics methodology - the formulation, estimation, prediction and verification of modeled systems, - explain the context of the theoretical behavior of economic systems modeled with empirical results and make appropriate modification of your model, - use the estimated regression models for forecasting.

Teaching methods

Lectures
Individual consultations
Tutorials

Summary

1. Time series analysis (the basic characteristics, graphical time series analysis, time series transformation, decomposition of time series) 2. Linear regression models (model formulation, estimation, specification, assumptions, OLS methods) 3. Verification of the estimated regression model (statistical verification, autocorrelation, heteroscedasticity, multicollinearity, economic verification). 4.Forecasting (prediction typology, point and interval prediction, prediction of ex-post and ex ante, forecasting accuracy rate). 5.Testing of residual normality (graphical tests, sophisticated tests).

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. HEIJ, CH. et al: Econometrics Methods with Applications in Business and Economics. Oxford: Oxford University Press, 2004. ISBN 0-19-926801-0. 3. 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

E-learning

Další požadavky na studenta

- 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.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

The goal is to: - be able to describe and apply the process of analyzing of economic time series, - understand the process of modelling the behaviour of economic system based on regression analysis, - select and use appropriate econometrics methodology - the formulation, estimation, prediction and verification of modelled systems, - explain the context of the theoretical behaviour of economic systems modelled with empirical results and make appropriate modification of your model, - use the estimated regression models for forecasting. 1. Time series analysis (the basic characteristics, graphical time series analysis, time series transformation, decomposition of time series) 2. Linear regression models (model formulation, estimation, specification, assumptions, OLS methods) 3. Verification of the estimated regression model (statistical verification, autocorrelation, heteroscedasticity, multicollinearity, economic verification). 4. Forecasting (prediction typology, point and interval prediction, prediction of ex-post and ex ante, forecasting accuracy rate). 5. Testing of residual normality (graphical tests, sophisticated tests).

Conditions for subject completion

Full-time form (validity from: 2012/2013 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation Credit  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2014/2015 (B6208) Economics and Management (6208R174) European Business Studies P Czech Ostrava 3 Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner
Incoming Students 2014/2015 Full-time Czech Choice-compulsory 163 - International Office stu. block