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Lecturer(s)
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Homolka Lubor, Ing. Ph.D.
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Course content
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- Introduction to the history of econometrics, historical overview. - Model design process and its verification. Data type, coding of qualitative variables, and reparameterization of the general model. - Types of regression functions. Methods for estimating regression parameters of functions. - Statistical verification of the model based on statistical hypotheses and other indicators. - Empirical analysis of basic micro- and macro-economic models. - Decomposition approach to time series. Seasonal adjustment. - Filters and other time series smoothing methods. - Analysis of the residual component of the econometric model. Econometric verification of the model and the consequences of violation of assumptions.
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Learning activities and teaching methods
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- Home preparation for classes
- 21 hours per semester
- Preparation for course credit
- 20 hours per semester
- Term paper
- 20 hours per semester
- Participation in classes
- 39 hours per semester
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| learning outcomes |
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| Knowledge |
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| use regression analysis toolkit |
| use regression analysis toolkit |
| compute expected values of an economic event based on quantitative data |
| compute expected values of an economic event based on quantitative data |
| build a complex time-series model |
| build a complex time-series model |
| predict value of the time series based on the regression model |
| predict value of the time series based on the regression model |
| posoudit kvalitu odhadnutého modelu |
| posoudit kvalitu odhadnutého modelu |
| Skills |
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| uses advanced regression analysis tools for the economic modelling tasks |
| uses advanced regression analysis tools for the economic modelling tasks |
| enumerates expected out-of-sample or out-of-time value of an economic phenomenon |
| enumerates expected out-of-sample or out-of-time value of an economic phenomenon |
| builds econometric model for the decision making purposes |
| builds econometric model for the decision making purposes |
| predicts time-series values allowing better understanding and decision making |
| predicts time-series values allowing better understanding and decision making |
| assess a quality of an estimated model in the light of historical values and underlying uncertainty |
| assess a quality of an estimated model in the light of historical values and underlying uncertainty |
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Recommended literature
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GUJARATI, D.N., PORTER, D.C. Basic econometrics. 5th ed. Boston: McGraw-Hill, 2009. ISBN 978-0-07-337577-9.
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KLÍMEK, P. Ekonometrie: studijní pomůcka pro distanční studium. Zlín: Univerzita Tomáše Bati ve Zlíně, 2010. ISBN 978-80-7318-942-6.
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