MPV_MZVS Research methods in the public sector

Faculty of Economics and Administration
Autumn 2017
Extent and Intensity
1/2/0. 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. Laura Fónadová, Ph.D. (lecturer)
Ing. Jana Godarová, 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)
prof. Mgr. Jiří Špalek, Ph.D. (seminar tutor)
Ing. Barbora Baisa (assistant)
Ing. Jana Rozmarinová, Ph.D. (assistant)
Guaranteed by
prof. Mgr. Jiří Špalek, Ph.D.
Department of Public Economics – Faculty of Economics and Administration
Contact Person: Jana Biskupová
Supplier department: Department of Public Economics – Faculty of Economics and Administration
Timetable
Wed 12:50–14:30 VT204
  • Timetable of Seminar Groups:
MPV_MZVS/01: Wed 14:35–16:15 VT204, L. Fónadová, J. Godarová, R. Jahoda, J. Navrátil, J. Špalek
Prerequisites (in Czech)
(( BPM_STA1 Statistics 1 ) && (! MPV_KMZV Quantitative Research Methods in the Public Sector ))
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 70 student(s).
Current registration and enrolment status: enrolled: 0/70, only registered: 0/70, only registered with preference (fields directly associated with the programme): 0/70
fields of study / plans the course is directly associated with
Course objectives
The aim of the subject Research methods in the public sector is to develop students' knowledge in the field of analysis of statistical data produced by the public sector. The student is acquainted with the theoretical background of data collection and processing, the core of the subject lies in their evaluation and explication.
Learning outcomes
The main learning outcomes of the subject include:
- understanding of the basic principles of preparation of own sample survey, its subsequent evaluation and development of ability to use these skills in the preparation of the survey,
- Understanding the structure, content and data sources of the public sector,
- the ability to identify specific information sources and databases and to apply simple and more advanced statistical methods to these data,
- to design and apply simple simulation and microsimulation models for evaluating the impact of public policies on particular groups of people (households, individuals, organizations),
- not only learning how to acquire and analyze the data, but also to strengthen the presentation ability of analyzis results.
Syllabus
  • Supposed topics are as follows:
  • Introductory information, role of research in the public sector
  • Public policies and quantitative and qualitative research methods
  • Sociological research methods and measurement of satisfaction with public policies – approaches and methodological problems. Datamining – examples of the Czech Statistical Office and Eurostat Qualitative and quantitative research in selected policy areas
  • examples from the employment policy
  • households surveys in the CR and EU – using basic qualitative methods
  • Income differentiation and research methods. The role of (pseudo)Lorenz's Curves and Gini coefficient
  • Income differentiation and distributional aspects of the tax policy. Measuring labour supply incentives using effective (implicit) tax rates concept
  • Pension policy and its parametrical setup – distributional and incentive’s outcomes
  • SILC survey in the CR and the EU, basic micro-simulation techniques, t-tests
  • Lecture given by an external expert
Literature
    required literature
  • HENDL, Jan. Úvod do kvalitativního výzkumu. 1. vyd. Praha: Karolinum, 1997, 243 s. ISBN 8071845493. info
  • JÍLEK, Jaroslav. Nástin sociálněhospodářské statistiky. Vyd. 1. Praha: Vysoká škola ekonomická v Praze, 2001, 245 s. ISBN 8024502143. info
  • BOARDMAN, Anthony E. Cost-benefit analysis : concepts and practice. 3rd ed. Upper Saddle River: Pearson Prentice Hall, 2006, xv, 560. ISBN 0131435833. info
  • STRAUSS, Anselm L. and Juliet M. CORBIN. Basics of qualitative research : techniques and procedures for developing grounded theory. 2nd ed. Thousand Oaks: SAGE Publications, 1998, xiii, 312. ISBN 0803959400. info
  • • GRIFFITH, A. SPSS for Dummies., Hoboken: Wiley Publishing, 2007, 342 p., ISBN 0470113448
  • Relevantní legislativa.
  • Aktuální informace na relevantních webových stránkách.
  • Studijní podklady připravené vyučujícím
  • NEUMAN, W.L. Basics of Social Research. Qualitative and Quantitative Approaches. Boston: Pearson Education, 2006. ISBN 978-0-205-48437-9. info
    recommended literature
  • 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
  • BRYMAN, Alan and Duncan CRAMER. Quantitative data analysis with SPSS Release 8 for windows : a guide for social scientists. 1st. pub. London: Routledge, 1999, xvi, 303. ISBN 0415206979. info
  • MORAWSKI, Witold. Ekonomická sociologie. Translated by Jiří Ogrocký. Vydání první. Praha: Sociologické nakladatelství, 2005, 338 stran. ISBN 8086429431. info
  • OCHRANA, František. Hodnocení veřejných projektů a zakázek. 3., přeprac. vyd. Praha: ASPI, 2004, 195 s. ISBN 8073570335. info
Teaching methods
The course takes form of a lectures and seminars. In the lectures, students are acquainted with the problems of methods, data and their analysis. During the seminars students explore selected available data sources (databases) and with the help of lecturers they are supposed to elaborate given task, which is presented and discussed during the very beginning 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.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Předpokládá se absolvování BPM_STA1. Předmět si nezapisují studenti, kteří již absolvovali předmět MPV_KMZV.
Credit evaluation note: k=1,0.
The course is also listed under the following terms Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2017, recent)
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