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Lecturer(s)
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Pojkarová Kateřina, Ing. Ph.D.
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Course content
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Substance of the econometrics, origin and development, goals of econometrics. General econometrics model. Regress analysis, smallest squares methodology. Correlation analysis. Multicolinearity, man-made variables. Time series analysis, basic characteristics of the time series. Trend part and adaptive models of time series. Seasonal and random part, correlation of the time series. Simultanious equation models. Prognostics and prognosting. Transport as a matter of prognostic. Transport prognostic modelling, four steps model.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Methods of individual activities
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- 1 hour per semester
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- 52 hours per semester
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- 45 hours per semester
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- 28 hours per semester
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- 6 hours per semester
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- 3 hours per semester
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- 28 hours per semester
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- 2 hours per semester
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- 15 hours per semester
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Learning outcomes
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The basic goal of this subject is to learn students seek and measure interrelationship function relations and dependencies among economic quantities and forecast their future development. The subject is focused, except of the overview of the modern econometric procedures by construction, estimating and testing econometric models, on the implementation of these models in the economic praxis and in the transport.
After passing this subject the student can arrange and verify general econometric model, use regress and correlation analysis for modelling economic relationships, decompose time series to the single parts, including trend and seasonal part modelling and testing hypothesis about he random part. He understands definitions from the prognostics and he is oriented in basic approaches to the transport prognostic.
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Prerequisites
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It's expected basic knowledge of macro economy, micro economy, mathematics and statistics.
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Assessment methods and criteria
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Oral examination, Written examination, Home assignment evaluation
The student must prove during the term and also by the final exam, that he/she understands solved problems and the ability to model basic economic relationships within the taught matter. The tutor will notify the concrete requirements to the students within the first week of the term.
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Recommended literature
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Černá, Anna. Teorie řízení a rozhodování v dopravních systémech. Pardubice: Institut Jana Pernera, 2004. ISBN 80-86530-15-9.
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Hill, T., Lewicki, P. Statistics: Methods and Applications. Tulsa, 2006. ISBN 80-86419-26-6.
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Hindls, Richard. Metody statistické analýzy pro ekonomy. Praha: Management Press, 1997. ISBN 80-85943-44-1.
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Hušek R. Ekonometrická analýza. Praha, 1999.
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Hušek,R. Základy ekonometrické analýzy I. Modely a metody.. VŠE, 1995.
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Orava, František. Prognostické inženýrství v dopravě. Pardubice: Univerzita Pardubice, 2000. ISBN 80-7194-245-6.
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Pojkarová, Kateřina. Ekonometrie a prognostika v dopravě : studijní opora. Pardubice: Univerzita Pardubice, 2013. ISBN 978-80-7395-585-4.
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