156-0542/01 – Macroeconomic analysis B (MA B)

Gurantor departmentDepartment of Applied EconomicsCredits4
Subject guarantordoc. Ing. Jiří Balcar, Ph.D.Subject version guarantordoc. Ing. Jiří Balcar, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Study languageEnglish
Year of introduction2017/2018Year of cancellation2020/2021
Intended for the facultiesEKFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
BRI0043 doc. Ing. Zuzana Brixiová, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+1

Subject aims expressed by acquired skills and competences

The objective of this course is to apply econometric methods to real world problems. The emphasis is on teaching econometrics from the perspective of professional users and illustrate how empirical researchers think about and apply econometrics methods. The aim is to equip students with broad and rigorous tools that would allow them to (i) conduct an independent econometric analysis of problems they may encounter in their work and (ii) draw operational and/or policy recommendations where suitable.

Teaching methods



The course will consists of fourteen (14) 90 minutes lectures with at least 20-30 minutes for discussion. The discussion will include a presentation of an individual student or a small team (2 – 3 people). The presentations would apply the methods covered in the readings and class lectures to a particular issue. In addition, there will be 7 practical sessions (seminars) that will focus on application of econometrics methods in Stata (or R on a voluntary basis). Occasionally, we will invite guest lectures to speak on an empirical topic of their choice where they use methods covered in the course.

Compulsory literature:

Wooldridge, J. M. (2016), Introductory Econometrics: A Modern Approach (6th edition), Cengage Learning, Inc.

Recommended literature:

Acock, A. C. (2018), A Gentle Introduction to Stata, 6th edition, A Stata Press Publication. Heiss, F. (2016), Using R for Introductory Econometrics, 1st edition. This textbook is compatible with "Introductory Econometrics" by J. M. Wooldridge in terms of topics, organization, terminology and notation. Verbeek, M. (2017), A Guide to Modern Econometrics, Wiley Publisher. Besides the textbooks we are going to discuss a number of journal articles which will be posted on the internet or can be accessed through the university library.

Way of continuous check of knowledge in the course of semester

Course requirements include active class participation and home-works, class presentation, a mid-term exam and a final exam and a short paper. Grade will be based on: (1) active class participation and home-works (15%); (2) individual or joint small group presentation (15%); (3) midterm exam (20%) and (4) final exam (50%). There will be 2 ‘midterm exams’ but only the higher score will count. However, students can take the 2nd exam only if they take the 1st. To get ä passing grade for the course, you need to get some points in all activities.


Other requirements



Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

1. Introduction and Review 2. Simple Linear Regression Analysis with Cross-Sectional Data I 3. Multiple Regression Analysis with Cross-Sectional Data I (Estimation) 4. Multiple Regression Analysis with Cross-Sectional Data II (Inference) 5. Nonlinear Models and Transformation 6. Heteroscedasticity 7. Binary Choice Models 8. Regression Analysis with Qualitative Explanatory Variables 9. Endogeneity and Instrumental Variables 10. Basic Regression Analysis with Time Series Data 11. Issues with Using OLS in Time Series Data, Serial Correlation 12. Introduction to Panel Data Methods 13. Advanced Panel Data Methods I (Fixed and Random Effects) 14. Advanced Panel Data Methods II (Instrumental Variables, 2-Stage Least Squares)

Conditions for subject completion

Full-time form (validity from: 2017/2018 Winter semester, validity until: 2020/2021 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 35  18
        Examination Examination 65  33
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2018/2019 (N6202) Economic Policy and Administration (6202T027) National Economy P Czech Ostrava 1 Choice-compulsory study plan
2018/2019 (N6202) Economic Policy and Administration (6202T027) National Economy P English Ostrava 1 Compulsory study plan
2017/2018 (N6202) Economic Policy and Administration (6202T027) National Economy P Czech Ostrava 1 Choice-compulsory study plan
2017/2018 (N6202) Economic Policy and Administration (6202T027) National Economy P English Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner