MPV_MZVS Research methods in the public sector

Faculty of Economics and Administration
Autumn 2015
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. Laura Fónadová, Ph.D. (lecturer)
Ing. Jana Godarová, Ph.D. (lecturer)
Mgr. et Mgr. Jiří Navrátil, Ph.D. (lecturer)
doc. Ing. Robert Jahoda, Ph.D. (seminar tutor)
prof. Mgr. Jiří Špalek, Ph.D. (seminar tutor)
Ing. Jakub Pejcal, Ph.D. (assistant)
Ing. Iveta Štarhová (assistant)
Ing. Marek Vyskočil (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
each odd Wednesday 12:50–14:30 VT204
  • Timetable of Seminar Groups:
MPV_MZVS/01: Wed 14:35–16:15 VT204, M. Fišar, L. Fónadová, J. Godarová, R. Jahoda, L. Kopečková, L. Matějová, J. Navrátil, Z. Špačková, 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
Following the requirement on evidence-based public policies and building on the assumption that more rational public management requires public administration scholars which are capable to analyze, assess and predict to certain extent effects of public policies, the course introduces methods that can help researching the public sector. At the end of the course students should be able to:
  • understand the structure, content and the source of data in the public sector;
  • understand the specifics, potential, limitations and methods of the qualitative and quantitative research
  • work with concrete information sources and to apply appropriate 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 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.
    Information about innovation of course.
    This course has been innovated under the project "Inovace studia ekonomických disciplín v souladu s požadavky znalostní ekonomiky (CZ.1.07/2.2.00/28.0227)" which is cofinanced by the European Social Fond and the national budget of the Czech Republic.

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    The course is also listed under the following terms Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
    • Enrolment Statistics (Autumn 2015, recent)
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