ESF:PMTOTH Estimation and Testing - Course Information
PMTOTH Theory of Estimation and Theory of Testing Statistical
Faculty of Economics and AdministrationSpring 2008
- Extent and Intensity
- 2/1. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Ing. Daniel Němec, Ph.D. (lecturer)
doc. Ing. Daniel Němec, Ph.D. (seminar tutor) - 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 7:40–9:15 P103
- Timetable of Seminar Groups:
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Mathematical and Statistical Methods in Economics (programme ESF, N-KME)
- Course objectives
- The goal of the course is to give the basic elements (methods and techniques) of the modern economic modeling. Theoretical aspects and practical applications related to development and identification of economic model will be discussed. Main topics of the course concern: dynamic systems theory, state-space models identification, introduction to dynamic programming and control theory, (log-)linearization and models with rational expectations.
At the end of this course, students should be able to:
understand and explain principles of dynamic economic systems;
formulate properly and identify correctly economic models in state-space form;
understand the problem of filtering and optimal control (linear quadratic control);
be competent in the use of Matlab (and appropriate toolboxes - e.g. Dynare or IRIS) to solve and identify modern (macro)economic model concepts. - Syllabus
- 1. Introduction to dynamic systems
- 2. State-space models - controllability, observability, minimal realization, stability, impulse-response function
- 3. Identifikace modelů ve stavovém tvaru - identifikace a filtrace; Kalmanuv filtr, techniky odhadu
- 4. Introduction to dynamic programming and optimal control
- 5. Linearization and (log)-linearization of the models
- 6. Models with rational expectations - how to solve?
- 7. Dynamic stochastic general equilibrium models - solving and identification
- Literature
- HEIJ, Christiaan, André C. M. RAN and Frederik van SCHAGEN. Introduction to mathematical systems theory : linear systems, identification and control. Basel: Birkhäuser Verlag, 2007, vii, 166. ISBN 9783764375485. info
- LJUNGQVIST, Lars and Thomas J. SARGENT. Recursive macroeconomic theory. 2nd ed. Cambridge, Mass.: MIT Press, 2004, xxxiv, 108. ISBN 026212274X. info
- ŠIMANDL, Miroslav. Identifikace systémů a filtrace. 1. vyd. V Plzni: Západočeská univerzita, 2001, 87 s. ISBN 80-7082-170-1. info
- Assessment methods
- lectures, computer exercises, final (group) project
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
- Enrolment Statistics (Spring 2008, recent)
- Permalink: https://is.muni.cz/course/econ/spring2008/PMTOTH