MPV_KMZV Quantitative Research Methods in the Public Sector

Faculty of Economics and Administration
Autumn 2009
Extent and Intensity
1/2. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. Mgr. Jiří Špalek, Ph.D. (lecturer)
doc. Ing. Robert Jahoda, Ph.D. (lecturer)
Mgr. et Mgr. Jiří Navrátil, Ph.D. (lecturer)
Ing. Jana Godarová, Ph.D. (seminar tutor)
doc. Ing. Robert Jahoda, Ph.D. (seminar tutor)
Mgr. Ing. Zuzana Špačková, Ph.D. (seminar tutor)
prof. Mgr. Jiří Špalek, Ph.D. (seminar tutor)
Guaranteed by
prof. Mgr. Jiří Špalek, Ph.D.
Department of Public Economics – Faculty of Economics and Administration
Contact Person: Mgr. Kateřina Kociánová
Timetable of Seminar Groups
MPV_KMZV/1: Wed 12:50–14:30 VT105, R. Jahoda, Z. Špačková, J. Špalek
MPV_KMZV/2: Wed 14:35–16:15 VT206, R. Jahoda, Z. Špačková, J. Špalek
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
Course objectives
At the end of the course students should be able to: - understand the structure, content and the source of data in the public sector; - work with concrete information sources and to apply appropriate statistical methods in the process; - derive simple micro-simulation model in order to analyze public policy reform measure; - present their data analysis results in front of the class.
Syllabus
  • Supposed topics of seminars are as follows: P1. Introductory information. Prerequisities. S1. Introduction. Review of working in MS Excell;
  • P2. Unemployment and its measurement; S2. Unemployment and its measurement;
  • P3. Statistical measurements and the Czech Statistical Office, basic data on population; S3. Consumer price index; Inflation rate and deflators;
  • P4. Household surveys in the CR and EU. S4. Household budget survey in the CR
  • P5. Income differentiation I - introdction; S5. Income of citizens, Lorenzo's Curve; Gini coeficient
  • P6. Income differentiation II - distributional impacts and their assumptions. S6. Income differentiation II - tax policy and its distributional impacts;
  • P7. Pension systems - PAYG DB model; S7. Pension systems - parametrical setup of PAYG DB system;
  • P8. Pension systems - life tables; S8. Pension systems - parametrical setup of FDC system;
  • P9. State social support S9. Change of the SSP and its impact on household's net income;
  • P10. Statistical survey SILC in the CR; S10. Micro-simaltion modelling based on quasi-SILC data;
  • P11. Statistical survey SILC in EU; S11. Data analysis in SPSS;
  • P12. Place for external expert; S12. Individual consultation;
  • P13. S13. Test
Literature
  • Relevantní legislativa.
  • Aktuální informace na relevantních webových stránkách.
  • Studijní podklady připravené vyučujícím
  • ŠPALEK, Jiří. Aplikovaná statistika I (Applied Statistics I). 1. vydání. Brno: Masarykova univerzita, 2004, 126 pp. ISBN 80-210-3412-2. info
  • ŠPALEK, Jiří. Aplikovaná statistika II (Applied Statistics II). 1. vydání. Brno: Masarykova univerzita, 2004, 132 pp. ISBN 80-210-3413-0. info
  • HINDLS, Richard. Statistika pro ekonomy (Statistics for economists). První vydání. Praha: Professional Publishing, 2002, 415 pp. ISBN 80 86419 26 6. info
  • JÍLEK, Jaroslav. Nástin sociálněhospodářské statistiky. Vyd. 1. Praha: Vysoká škola ekonomická v Praze, 2001, 245 s. ISBN 8024502143. info
Teaching methods
The course takes form of a lectures and seminars. In the lectures, students are acquainted with the problems of statistical data analysis During the seminars students explore standard statistical databases.This leads students to construct various models covering the micro-simulation models of public policy change. With the help of the teacher, students are supposed to elaborate given task, which is presented and disscused during the very begining of the next lecture.
Assessment methods
In order to pass the subject, students are required to:
1. be active during the seminars (students may present the use of concrete methods and gain extra points for it - 10 points for each seminar);
2. to pass a final test based on the work during whole term. We expect at least 50 points out of 100.
3. Final grade is given by the sum of above mentioned points and can be derived from the Gaussian probability distribution with the mean within B and D.

Requirements (including the literature) are specified further in the interactive syllabus and the downloadable study plan before the semester starts. If students commit a prohibited act, such as using various forbidden tools, cribbing, taking out any part of the exam or any other cheating, the teacher is allowed to interrupt an exam and to grade a student with F, FF or FFF according to the seriousness of the offence. The mentioned procedure relates to all the activities that are included in the final evaluation of the course (seminar work, essays, tests etc.).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Nezapisují si studenti, kteří absolvovali předmět PVISVS.
Credit evaluation note: k=1,0.
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2010, Autumn 2011.
  • Enrolment Statistics (Autumn 2009, recent)
  • Permalink: https://is.muni.cz/course/econ/autumn2009/MPV_KMZV