ESF:PMEM2A Math Methods in Economics II - Course Information
PMEM2A Mathematical Methods in Economics II
Faculty of Economics and AdministrationSpring 2008
- Extent and Intensity
- 2/2/0. 5 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- prof. Ing. Osvald Vašíček, CSc. (lecturer)
doc. Ing. Jan Čapek, Ph.D. (seminar tutor)
doc. Ing. Daniel Němec, Ph.D. (seminar tutor)
Mgr. Ing. Adam Remo (seminar tutor)
Ing. Veronika Beláková (assistant)
Mgr. et Mgr. Milan Svoboda (assistant) - Guaranteed by
- prof. Ing. Osvald Vašíček, CSc.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková - Timetable
- Thu 11:05–12:45 P101
- Timetable of Seminar Groups:
PMEM2A/2: Wed 17:10–18:45 VT206, J. Čapek
PMEM2A/3: Wed 11:05–12:45 VT206, A. Remo
PMEM2A/4: Thu 7:40–9:15 VT206, J. Čapek
PMEM2A/5: Thu 9:20–11:00 VT206, J. Čapek
PMEM2A/6: Thu 14:35–16:15 VT105, D. Němec - Prerequisites (in Czech)
- PMSTII Statistics II
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 132 student(s).
Current registration and enrolment status: enrolled: 0/132, only registered: 0/132, only registered with preference (fields directly associated with the programme): 0/132 - fields of study / plans the course is directly associated with
- Economics (programme ESF, M-EKT)
- Financial Management (programme ESF, M-HPS)
- Economic Policy (programme ESF, M-HPS)
- Business Management (programme ESF, B-EKM)
- Business Management (programme ESF, M-EKM)
- Regional Development and Administration (programme ESF, M-HPS)
- Public Economics (programme ESF, M-HPS)
- Course objectives
- Economic-Mathematical Methods II A (PMEM2A): The course deals with mathematical-statistical approaches to the analysis of economic processes described by time series. The introductory part of the course acquaints students with the basics of work with index numbers and their application in the area of time series. The course participants are also introduced to the methodological premises and the application of the classic procedures of time series decomposition, based on regression. These are non-adaptive methods of description of the process development by a trend expressed by mathematical curves, and adaptive methods, such as polynomial moving averages and methods of exponential smoothing. Simple regression methods of removal of seasonal influence in time series are also covered. Last but not least, this part of the course also explains and applies in practice the procedures of forecasts based on time series smoothed by the above-mentioned methods. The next part of the course focuses on the Box-Jenkins methodology of the analysis of time series, using stochastic and correlation properties of time series. These are particularly the methods of moving totals processes analysis (MA), autoregression processes (AR) and mixed processes (ARMA and ARIMA). The final part of the course summarises the gained knowledge and is devoted to the explanation of the process of behaviour of one economic variable on the basis of behaviour of other variables through a quantified, statistically analysed single-equation model and the use of the model for a forecast of the explained variable s development. Credit requirements: active participation, a sufficient total of points from eaach of progressive skill tests or an essay. Examination: written, a practical economic exercise on a computer, oral.
- Literature
- NOVÁK, Ilja, Richard HINDLS and Stanislava HRONOVÁ. Metody statistické analýzy pro ekonomy. 2. přepracované vyd. Praha: Management Press, 2000, 259 s. ISBN 80-7261-013-9. info
- ARLT, Josef. Moderní metody modelování ekonomických časových řad. Vyd. 1. Praha: Grada, 1999, 307 s. ISBN 8071695394. info
- KVASNIČKA, Michal and Dalibor MORAVANSKÝ. Ekonomicko-matematické metody. Brno: Masarykova univerzita Brno, 2004, 116 pp. 1.vyd. ISBN 80-210-3477-7. info
- CIPRA, Tomáš. Analýza časových řad s aplikacemi v ekonomii. 1. vyd. Praha: SNTL - Nakladatelství technické literatury, 1986, 246 s. URL info
- PINDYCK, Robert S. and Daniel L. RUBINFELD. Econometric models and economic forecasts. 4th ed. Boston: Irwin, 1997, xx, 634. ISBN 0070502080. info
- ENDERS, Walter. Applied econometric time series. 2nd ed. Hoboken: John Wiley & Sons, 2004, xiv, 460. ISBN 0471230650. info
- HAMILTON, James Douglas. Time series analysis. Princeton, N.J.: Princeton University Press, 1994, xiv, 799 s. ISBN 0-691-04289-6. info
- GREENE, William H. Econometric analysis. 5th ed. Upper Saddle River, N.J.: Prentice Hall, 2003, xxx, 1026. ISBN 0131108492. info
- Assessment methods (in Czech)
- Konkrétní informace týkající se průběhu a zakončení předmětu jsou uvedeny v Organizačních pokynech Studijních materiálů IS MU (rules.pdf).
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually.
Information on course enrolment limitations: 10 pouze přednáška
- Enrolment Statistics (Spring 2008, recent)
- Permalink: https://is.muni.cz/course/econ/spring2008/PMEM2A