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(in Polish) Szara strefa, korupcja, przestępstwa - zjawiska trudno mierzalne w ekonomii

General data

Course ID: 2400-PLSM058B
Erasmus code / ISCED: (unknown) / (unknown)
Course title: (unknown)
Name in Polish: Szara strefa, korupcja, przestępstwa - zjawiska trudno mierzalne w ekonomii
Organizational unit: Faculty of Economic Sciences
Course groups: (in Polish) Seminaria magisterskie studia magisterskie II st. (stacjonarne i niestacjonarne-wieczorowe)
ECTS credit allocation (and other scores): 3.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
Language: Polish
Type of course:

Master's seminars

Short description:

During the seminar students prepare their master theses focused on hard to measure phenomena like shadow economy, corruption, quality of institutions, regulations, crime, smuggling, betting games etc. These issues seem to be interesting and are “hot topics” (when looking e.g. on mass media). Economic research focusing on them is still a novelty.

The course is based on latest research and publications. It also allows for the usage of knowledge acquired during the course “Advanced Econometrics”. The thesis can be also prepared in English.

Grades are given for: writing the master thesis and preparing a paper (one in each semester) showing the progress in the development of the thesis topic.

Full description:

I. Introduction

II. Presentation of rules relevant for a master thesis (references, footnotes etc.)

III. Discussion of selected hard to measure phenomena

IV. Selecting a topic for the thesis

V. Presentations, discussion of the progress in preparing the master thesis

Examples of topics which can serve for master theses:

“Causes and consequences of shadow economy in post-communist countries”

“Determinants of unregistered work in Poland”

“Causes and economic consequences of corruption in post-communist countries”

“Corruption and economic growth”

“Factors influencing the perception of corruption”

“Laffer curve – fiction or reality?”

“Regulations and economic growth”

“Economic factors influencing the outcomes of political elections”

“Economic expectations and the results of political elections”

“The influence of taxes on the consumption of cigarettes”

“Economic causes of crime”

“Crime and business cycle”

“Determinants of crime in USA”

“Forecasting crime using big data”

“Socio-economic determinants of crime – a spatial analysis”

“Determinants of wins in poker”

“Wage discrimination in NBA, NHL, NFL and MLB”

“The influence of drugs and alcohol on students’ grades”

“Bullying at school – influence of economic factors”

“Easterlin’s paradox – does wealth make you happy?”

Bibliography:

Reading will be tailored to students' interests

Learning outcomes:

Knowledge:

1. The student knows the rules of writing a master thesis.

2. The student knows methods of analyzing data and methods of research

3. The student knows basics of methodology of science and ways of formulating scientific hypotheses.

4. The student knows basic definitions connected to hard to measure phenomena.

5. The student has basic knowledge regarding quantitative methods used in research on hard to measure phenomena.

Skills:

1. The student is capable of finding data and information necessary for preparing a master thesis. The student is able to prepare a master thesis according to formal rules.

2. The student has the skill of applying knowledge acquired during studies to problems connected to the topic of his master thesis.

Social competences:

1. The student is capable of finding data and analyzing it. The student can work with data. He is able to formulate a research problem and a scientific hypothesis. The student is able to prepare a master thesis.

2. The student is able to complete the acquired knowledge. He is capable of finding literature.

3. The student is capable of working individually.

KW01, KW02, KW03, KU01, KU02, KU03, KK01, KK02, KK03

Assessment methods and assessment criteria:

Writing the master thesis and preparing a paper (one in each semester) showing the progress in the development of the thesis topic. A positive final grade is only give after the thesis has been submitted to the students office .

Classes in period "Winter semester 2023/24" (past)

Time span: 2023-10-01 - 2024-01-28
Selected timetable range:
Navigate to timetable
Type of class:
Second cycle diploma seminar, 30 hours more information
Coordinators: Stanisław Cichocki
Group instructors: Stanisław Cichocki
Students list: (inaccessible to you)
Examination: Course - Pass/fail
Second cycle diploma seminar - Pass/fail
Course descriptions are protected by copyright.
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