| Course Unit Code | 157-0379/01 |
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| Number of ECTS Credits Allocated | 5 ECTS credits |
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| Type of Course Unit * | Compulsory |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | Second Year |
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| Semester when the Course Unit is delivered | Winter Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| HAN60 | prof. Ing. Jana Hančlová, CSc. |
| CHY0034 | Mgr. Ing. Lucie Chytilová, Ph.D. |
| Summary |
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| The aim of the course is to understand and master the process of econometric analysis of the economic behavior of individual entities (e.g. companies) using cross-sectional or panel econometric modeling. |
| Learning Outcomes of the Course Unit |
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| The aim of the course is to understand and master the process of econometric analysis of the economic behavior of individual entities (e.g. companies) using cross-sectional or panel econometric modeling. |
| Course Contents |
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1. Introduction to econometrics (definition of econometrics and microeconometrics, relationship to other scientific disciplines, clarification of basic terms, emergence of econometrics, process of econometric modeling, specifics of microeconometric modeling).
2. Microeconomic data, their structure and analysis.
3. Simple cross-sectional linear regression model (meaning of regression analysis, population versus sample regression line, essence of MNČ, fit of regression line to data, assumptions of classic simple regression model and their verification).
4. Multiple cross-sectional regression model (definition of the classical multivariate linear regression model, assumptions, matrix notation, corrected coefficient of determination).
5. Statistical verification (regression coefficients, model as a whole).
6. Econometric verification - autocorrelation, heteroskedasticity, multicollinearity, normality, model specification.
7. Nonlinear functional forms.
8. Technique of dummy variables.
9. Prediction.
10.Linear panel models (definition of panel models, fixed effects, random effects). |
| Recommended or Required Reading |
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| Required Reading: |
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DURLAUF, S.N. and L.E. BLUME. Microeconometrics. Houndmills: Palgrave Macmillan, 2010. ISBN: 978-0-230-23881-7.
GUJARATI, Damodar N. Basic Econometrics. 4th ed. Singapore: Mc Graw-Hill, 2003, 1002 s. ISBN 0-07-233542-4.
LEE, Myoung-jae. Micro-econometrics. New Yourk: Springer, 2010. ISBN 78-0-387-95376-2.
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CAMERON, A., Colin and Pravin, K. TRIVEDI. Microeconometrics using Stata. College Station: Stata Press, 2010. ISBN 978-1-59718-073-3.
TRIVEDI, Pravin, K. and A. Colin CAMERON. Microeconometrics: methods and applications. Cambridge: Cambridge University Press, 2005. ISBN 0-521-84805-9.
HANČLOVÁ, Jana. Ekonometrické modelování. Klasické přístupy s aplikacemi. Praha: Professional Publishing, 2012. 214 s. ISBN 978-80-7431-088-1.
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| Recommended Reading: |
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GREENE, William.H. Econometric Analysis. Pearson Education, 2008. ISBN 9780135137406.
HEIJ, CH. et al: Econometrics Methods with Applications in Business and Economics. Oxford: Oxford University Press, 2004. ISBN 0-19-926801-0.
WONNACOTT, R. J. and WONNACOTT, T.H. Econometrics. Florence Taylor and Francis Ann Arbor, Michigan ProQuest 2014.
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DURLAUF, S.N. and L.E. BLUME. Microeconometrics. Houndmills: Palgrave Macmillan, 2010. ISBN: 978-0-230-23881-7.
GUJARATI, Damodar N. Basic Econometrics. 4th ed. Singapore: Mc Graw-Hill, 2003, 1002 s. ISBN 0-07-233542-4.
LEE, Myoung-jae. Micro-econometrics. New Yourk: Springer, 2010. ISBN 78-0-387-95376-2.
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| Planned learning activities and teaching methods |
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| Lectures, Individual consultations, Tutorials, Project work |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Credit and Examination | Credit and Examination | 100 (100) | 51 |
| Credit | Credit | 45 | 23 |
| Examination | Examination | 55 | 28 |