151-0530/01 – Forecasting Methods Application in Economics (ApMFE)
| Gurantor department | Department of Mathematical Methods in Economics | Credits | 5 |
| Subject guarantor | prof. Ing. Jana Hančlová, CSc. | Subject version guarantor | prof. Ing. Jana Hančlová, CSc. |
| Study level | undergraduate or graduate | Requirement | Choice-compulsory |
| Year | 3 | Semester | winter |
| | Study language | English |
| Year of introduction | 2010/2011 | Year of cancellation | 2010/2011 |
| Intended for the faculties | EKF | Intended for study types | Bachelor |
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
Other requirements
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
Occurrence in special blocks
Assessment of instruction
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