300571 Labor Market Inequalities (LEH) (SoSe 2022)
Short comment
- International Track
Contents, comment
-
The course combines labor market research on inequalities and justice perceptions with applied quantitative data analysis. From an analytical sociology perspective, substantive mechanisms will be introduced and discussed that drive actual inequality and justice perceptions between social groups regarding different labor market outcomes like earnings, promotion opportunities, among others. We derive hypotheses from the theories introduced and will test them using large-scale quantitative data. In particular, we use the German Socio-Economic Panel (SOEP) and the European Social Survey (ESS) as the main data sources.
Requirements for participation, required level
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Basic knowledge of applied data analysis is required, such as descriptive statistics. Overall, motivation to learn about quantitative data analysis in the context of social research is suggested for participating.
The knowledge of Stata or R is useful, but not necessary.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 30-M-Soz-M7_LF1 Lehrforschung in Sozialstruktur und sozialer Ungleichheit | Alternativ zu Seminar 1 und Seminar 2: großes Seminar | Study requirement
|
Student information |
| - | Graded examination | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
The course aims to provide students with research and practical skills related to applied data analysis on social inequalities and justice evaluations. It will do so by relying on a learning by doing strategy according to which students will work on practical exercises with the guidance of the teaching staff. Furthermore, students will have the opportunity to develop a research paper based on empirical data analysis. The course exercises will be conducted with the statistical software packages R or Stata (according to each student’s preference).
- E-Learning Space
- E-Learning Space
- Address:
- SS2022_300571@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
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- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Tuesday, September 6, 2022
- Last update times:
- Friday, February 4, 2022
- Last update rooms:
- Friday, February 4, 2022
- Type(s) / SWS (hours per week per semester)
- research training (LEH) / 4
- Language
- This lecture is taught in english
- Department
- Faculty of Sociology
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=250852903
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- 250852903