Course detail
Academic Writing
FP-awDAcad. year: 2024/2025
The course contents include identification and solution of econometric problems in the field of analysis of time series and cross-sectional data. Students will deepen their knowledge of the use of econometric methods in modelling, estimating, analysing and predicting economic phenomena, thus creating preconditions for sound economic decision-making (especially in the corporate sphere).
· Introduction to econometrics and data processing; non-technical introduction to regression; regression model with a single explanatory variable; model of multiple regression;
· Heteroscedasticity; autocorrelation of random components;
· The method of instrumental variables; models of qualitative and limited explained variables;
· Vector autoregressive models; other econometrics methods, models and tools;
· Overview of econometric model applications in enterprise economics.
Language of instruction
Mode of study
Guarantor
Department
Entry knowledge
Rules for evaluation and completion of the course
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Study aids
Prerequisites and corequisites
- compulsory prerequisite
Macroeconomics - compulsory prerequisite
Microeconomics - compulsory prerequisite
Statistics
Basic literature
KOOP, G. Introduction to econometrics. Chichester: John Wiley & Sons, 2008. 371 s. ISBN 978-0-470-03270-1.
Recommended reading
Classification of course in study plans
- Programme DSP-CME Doctoral 2 year of study, summer semester, compulsory
2 year of study, winter semester, compulsory - Programme DSP-CME-KS Doctoral 2 year of study, summer semester, compulsory
2 year of study, winter semester, compulsory - Programme DSP-ŘEP Doctoral 2 year of study, summer semester, compulsory
2 year of study, winter semester, compulsory - Programme DSP-ŘEP-KS Doctoral 2 year of study, summer semester, compulsory
2 year of study, winter semester, compulsory