N_EKM Econometrics
Institute of Technology and Business in České Budějovicesummer 2018
- Extent and Intensity
- 0/2/0. 3 credit(s). Type of Completion: z (credit).
- Teacher(s)
- Mgr. Vladislav Biba, Ph.D. (seminar tutor)
Ing. Květa Papoušková (seminar tutor) - Guaranteed by
- Mgr. Vladislav Biba, Ph.D.
Department of Informatics and Natural Sciences – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice
Supplier department: Department of Informatics and Natural Sciences – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice - Timetable of Seminar Groups
- N_EKM/L4: Sat 17. 3. 13:05–14:35 A7, 14:50–16:20 A7, Sun 8. 4. 13:05–14:35 A7, 14:50–16:20 A7, V. Biba
- Prerequisites
- MAX_KOMBINOVANYCH(20) && MAX_PREZENCNICH(40)
Courses: Statistics, Informatics, Mathematics - Course Enrolment Limitations
- The course is offered to students of any study field.
The capacity limit for the course is 60 student(s).
Current registration and enrolment status: enrolled: 0/60, only registered: 0/60 - Course objectives supported by learning outcomes
- The aim of the course is to introduce the students with basic models and methods of quantitative analysis and forecasting in macro- and microeconomics.
- Learning outcomes
- After the successful completion of the course, the student is able to analyze relations (dependancies) between economical variables and forecast the future developments.
- Syllabus
- 1. Subject of econometrics, history, basic concepts, econometric models. 2. Linear model, its economic, statistical and econometric verification. 3. Choice of econometric model. 4. General linear model, matrix form. 5. The use of the general linear model, assumptions of linear model. 6. Modeling of demand and cost function, analysis of market equilibrium. 7. Non-linear demand function, Leontief input-output model. 8.,9. Modeling of production functions, applications of models. 10. Models of simultaneous equations, their structural and reduced form. 11. Estimation of parameters of simultaneous equations. 12. Time series moodels. 13. Simulation in econometric models.
- Literature
- required literature
- HUŠEK, R. Aplikovaná ekonometrie. Praha: Nakladatelství Oeconomica, 2009. ISBN 978-80-245-1623-3
- HUŠEK, R. Ekonometrická analýza. Praha: Oeconomica, 2007. ISBN 978-80-245-1300-3
- not specified
- DUFEK, J. Ekonometrie. Brno: Mendelova zemědělská a lesnická univerzita v Brně, 2003. ISBN 80-7157-654-9
- GUJARATI, D.N. - DAWN, C.P. Basic Econometrics, Fift Ed. New York: Mc.Grow-Hill Irwin 2008. ISBN 978-0-07-337577-9
- CIPRA, T. Finanční ekonometrie. Praha: Ekopres, 2008. ISBN 978-80-86929-43-9
- HANČLOVÁ, J. Ekonometrické modelování. Praha: Profesional Publishing 2012. ISBN 978-80-7431-088-1
- POJKAROVÁ, K. Ekonometrie a prognostika v dopravě. Pardubice: Dopravní fakulta J. Pernera, Univerzita Pardubice, 2006. ISBN 80-7194-868-3
- GUJARATI, D.N. Basic Econometrics. Fourth Ed. New York: McGraw-Hill, 2003. ISBN 0-07-233542-4
- STUCHLÝ, J. Ekonometrie. Učební text. Jindřichův Hradec: Vysoká škola ekonomická v Praze. Fakulta managementu Jindřichův Hradec
- Stuchlý, J. Statistické metody pro manažerské rozhodování. Jindřichův Hradec: Fakulta managementu, Vysoká škola ekonomická v Praze, Nakladatelství Oeconomica 2004. ISBN 80-245-0153-8
- GRIFFITHS, W.E. – HILL, R.C. – JUDGE, G.G. Learning and Practicing Ecomometrics. New York: John Wiley&Sons, 1993. ISBN 0-471-51364-4
- LEJNAROVÁ, Š. – RÁČKOVÁ, A. – ZOUHAR, J. Základy ekonometrie v příkladech. Praha: Nakladatelství Oeconomica, Vysoká škola ekonomická, 2009, ISBN 978-80-245-1564-9
- STUCHLÝ, J. Statistika: studijní opora pro kombinované studium. České Budějovice: Vysoká škola technická a ekonomická v Českých Budějovicích, 2012. ISBN 978-80-7468-021-2
- GUJARATI, D.N. Student Solution Manual for use with Basic Econometrics. Fourth Ed. New York: McGraw-Hill 2002. ISBN 978-0072427929
- Forms of Teaching
- Seminar
- Teaching Methods
- Frontal Teaching
Brainstorming
Critical Thinking
- Student Workload
Activities Number of Hours of Study Workload Daily Study Combined Study Preparation for the Mid-term Test 13 13 Preparation for Seminars, Exercises, Tutorial 13 31 Preparation for the Final Test 26 26 Attendance on Seminars/Exercises/Tutorial/Excursion 26 8 Total: 78 78 - Assessment Methods and Assesment Rate
- Test – mid-term 30 %
Test – final 70 % - Exam conditions
- Grading of the course: semestral test: maximum 30% (0-30 points), Final Test: maximum 70% (0-70 points). Successful graduates of the course have to get totally at least 70 points: A 100 – 90, B 89,99 – 84, C 83,99 – 77, D 76,99 – 73, E 72,99 – 70, FX 69,99 – 30, F 29,99 - 0.
- Language of instruction
- Czech
- Enrolment Statistics (summer 2018, recent)
- Permalink: https://is.vstecb.cz/course/vste/summer2018/N_EKM