Course: Quantitative methods for PhD study

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Course title Quantitative methods for PhD study
Course code MRS/PGSKV
Organizational form of instruction Lecture + Exercise
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 10
Language of instruction Czech, English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Nováček Pavel, doc. RNDr. CSc.
  • Harmáček Jaromír, doc. Ing. Mgr. Ph.D.
  • Pánek Jiří, doc. Mgr. Ph.D.
Course content
The course is based on MRS/KM2 and MRS/KM3 knowledge and skill and it further deepens the regression analysis methods, particularly in the context of panel data and time series.

Learning activities and teaching methods
Lecture, Work with Text (with Book, Textbook), Demonstration
Learning outcomes
The main aim of the course is to deepen the theoretical knowledge and practical skills in the application of quantitative methods within the field of development studies.
Upon completion of the course students should be able to implement their own regression analysis research based on cross-sectional data, panel data and time series.
Prerequisites
Recommended courses: MRS/KM2 and ideally also MRS/KM3.

Assessment methods and criteria
Seminar Work

Research paper in which the methods of regression analysis are applied. The research paper should be ideally focused on the topic of the student's dissertation thesis.
Recommended literature
  • Agresti, A., Finlay, B. (2008). Statistical methods for the social sciences. Upper Saddle River, N. J.: Prentice Hall.
  • Hill, R. C., Griffiths, W. E., Lim, G. C. (2011). Principles of Econometrics, 4th Edition.. Wiley: Danvers, MA.
  • Wooldridge, J. (2008). Introductory Econometrics: A Modern Approach. South-Western College Pub.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester