151-0530/01 – Forecasting Methods Application in Economics (ApMFE)

Gurantor departmentDepartment of Mathematical Methods in EconomicsCredits5
Subject guarantorprof. Ing. Jana Hančlová, CSc.Subject version guarantorprof. Ing. Jana Hančlová, CSc.
Study levelundergraduate or graduateRequirementChoice-compulsory
Year3Semesterwinter
Study languageEnglish
Year of introduction2010/2011Year of cancellation2010/2011
Intended for the facultiesEKFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
HAN60 prof. Ing. Jana Hančlová, CSc.
RAM35 prof. RNDr. Jaroslav Ramík, 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 students will learn elementary and advanced statistical methods used in forecasting and prognostics in typical application areas of economics: marketing, entrepreneurship, finance and services. By case studies focused on macro and microeconomic models and time series analysis. They will be able to solve practical problems of prediction and forecasting on real time series data.

Teaching methods

Lectures
Individual consultations
Tutorials
Project work

Summary

Based on basic courses of statistics elementary and advanced statistical methods on forecasting and prognostics are presented. Case studies are focused on macro and microeconomic models and time series analysis. SPSS and Excel software is applied. 1. What is econometrics - introduction. 2. Basic statistical concepts. 3. Simple linear regression model. 4. Multiple linear regression model. 5. Nonlinear regression models, applications in economics. 6. Multicolinearity, heteroskedasticity and autoregression in regression models. 7. Prediction and prognoses in linear regression models.

Compulsory literature:

Gujarati, D.N.: Basic Econometrics. Singapore, Mc Graw Hill, 1995.

Recommended literature:

Mayes, D.G.: Applications of Econometrics, London, Prentice Hall, 1981.

Way of continuous check of knowledge in the course of semester

Homeworks Case studies Seminar work

E-learning

Další požadavky na studenta

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Based on basic courses of statistics to supply elementary and advanced statistical methods used forecasting and prognostics. Case studies are focused on macro and microeconomic models and time series analysis. SPSS and Excel software is applied.

Conditions for subject completion

Conditions for completion are defined only for particular subject version and form of study

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2010/2011 (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