| Course Unit Code | 157-0360/01 |
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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 * | First 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 | There are no prerequisites or co-requisites for this course unit |
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| Name of Lecturer(s) | Personal ID | Name |
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| HAN60 | prof. Ing. Jana Hančlová, CSc. |
| Summary |
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1 Introduction to econometrics (subject of econometrics, methodology of econometrics)
2. Simple linear regression function (the nature of regression analysis, the concept of population and sample regression function (deterministic and stochastic version), the method of ordinary least squares, coefficient of determination)
3. Statistical verification (testing of regression coefficients, the overall of sample regression model)
4. Autocorrelation (the nature, the consequences of autocorrelation, detection, removing).
5. Heteroscedasticity (the nature, its consequences, detection, removing, WOLS)
7. Multicollinearity (the nature, its consequences, detection, removing).
8. Model specification (model selection criteria, types of specification errors, consequences, tests)
9. Prediction (ex-post and ex-ante, mean and individual prediction, point and interval prediction).
10. Functional form of regression models (exponential regression model, semi log models and reciprocal models).
11. Dummy variable regression models.
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| Learning Outcomes of the Course Unit |
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| The aim of the subject is to master the process of econometric modeling with a focus on economic interpretation, verification of the model and its subsequent use in practice in management and decision-making at the micro and macro level. |
| Course Contents |
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1. Introduction to econometrics (subject of econometrics, metodology of econometrics)
2. Simple linear regression function (the nature of regression analysis, the concept of population and sample regression function ( deterministic and stochastic version), the method of ordinary least squares, coefficient of determination)
3. Statistical verification ( testing od regression coefficients, the overall of sample regression model)
4. Autocorrelation (the nature, the consequences of autocorrelation, detection, removing).
5. Heteroscedasticity ( the nature, its consequences, detection, removing, WOLS)
7. Multicollinearity ( ( the nature, its consequences, detection, removing).
8. Model specification (model selection criteria, types of specification errors, consequences, tests)
9. Prediction (ex-post and ex-ante, mean and individual prediction, point and interval prediction).
10. Functional form of regression models (exponencial regression model, semilog models, reciprocal models).
11. Dummy variable regression models. |
| Recommended or Required Reading |
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| Required Reading: |
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GUJARATI, Damodar N. Basic Econometrics. 4th ed. Singapore: Mc Graw-Hill, 2003, 1002 s. ISBN 0-07-233542-4.
WOOLDRIDGE, Jeffrey M. Introductory Econometrics: A Modern Approach. 4th ed. Mason. Ohio: South Western Cengage Learning, 2008. 912 pp. ISBN 978-0-324-58162-1.
RAMANATHAN, Ramu. Introductory Econometrics with Applications. 5th edition. Harcourt College Publishers, 2002. ISBN-13: 978-0030343421.
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ADAMEC, Václav, Luboš STŘELEC a David HAMPEL.Ekonometrie. Brno: Mendelova univerzita v Brně, 2017. ISBN 978-80-7509-480-3.
GUJARATI, Damodar N. Essential for Econometrics. 5th ed. Los Angeles: SAGE, 2022. ISBN 9781071850404.
HANČLOVÁ, Jana. Ekonometrické modelování. Klasické přístupy s aplikacemi. Praha: Professional Publishing, 2012. ISBN 978-80-7431-088-1. |
| 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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BALTAGI, Badi H. Econometrics (Classroom Companion: Economics). 6th ed. Syracuse, Ny, USA: Sysracuse University, 2021. ISBN 978-3-030-80148-9.
HANSEN, Bruce E. Econometrics. Princeton, New Jersey: Princeton University Press, 2022. ISBN 978-0691235899.
WOOLDRIDGE, Jeffrey M. Introductory Econometrics: a modern approach. 7th ed. Boston: Cengage, 2020. ISBN 9781337558860. |
| Planned learning activities and teaching methods |
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| Lectures, 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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| Exercises evaluation and Examination | Credit and Examination | 100 (100) | 51 |
| Exercises evaluation | Credit | 45 | 23 |
| Examination | Examination | 55 | 28 |