Syllabus
Registration via LPIS
Day | Date | Time | Room |
---|---|---|---|
Tuesday | 10/03/23 | 04:00 PM - 07:00 PM | D4.0.047 |
Tuesday | 10/17/23 | 04:00 PM - 07:00 PM | D4.0.047 |
Tuesday | 10/31/23 | 04:00 PM - 07:00 PM | Online-Einheit |
Tuesday | 11/07/23 | 05:30 PM - 08:00 PM | D4.0.144 |
Tuesday | 11/14/23 | 04:00 PM - 07:00 PM | TC.4.18 |
Tuesday | 11/21/23 | 05:30 PM - 07:30 PM | TC.4.02 |
Tuesday | 01/16/24 | 04:00 PM - 07:00 PM | D4.0.047 |
Tuesday | 01/30/24 | 04:00 PM - 07:00 PM | D4.0.047 |
In this course, we will guide you through conducting an empirical research project in the Economics of Distribution, from developing a research question and working out a methodology to writing a short research paper. In groups of up to three students, you can choose between replicating and extending a published research paper following your ideas or conducting an original project. We will center on research questions relevant to research on wealth inequality, but students can propose projects related to other topics discussed in the field course Economics of Distribution.
At the end of the course, you have
- developed basic skills to analyze survey data in R.
- strengthened your general academic skills, such as developing a relevant research question and a research design and academic writing and presentations,
- obtained a sound understanding of methods heavily used in contemporary empirical inequality research.
- a good understanding of current lines of research and debates in the field of inequality research, especially in the context of wealth inequality.
- improved your ability to evaluate research designs critically.
The course mainly consists of synchronous dates; attendance is compulsory. Absence in a class must be compensated; otherwise, it will result in a loss of points.
- The course introduces survey data on wealth and discusses conceptual questions relevant to empirical inequality research.
- Using data from the Luxembourg Wealth Study, we will illustrate how to use survey data for empirical (inequality) research using the programming language R.
- Depending on the specific nature of the group projects, we will discuss and apply selected micro-econometric methods, for instance, decomposition methods and quantile regressions.
- Regular meetings will be held between the instructors and the individual groups to ensure progress and discuss group-specific questions.
- The instructors will discuss selected aspects of the research process, such as reading academic papers, research writing, and academic presentations.
- Students must present their research idea at the beginning of the course (November 7) and the outcomes of their research projects at the end of the term (January 16 and January 30). A research paper has to be delivered by the end of the term.
10 % - Presentation I: Presentation of the research idea
30 % - Presentation II: Final presentation of the outcomes of the research project
10 % - Contributions to discussions in class
50 % - Seminar paper
A positive grade of each component of the final grade is required for successful course completion.
Grading scheme
100 % - 90 %: Excellent
89 % - 80 %: Good
79 % - 65 %: Satisfactory
64 % - 50 %: Sufficient
<50 %: Not Sufficient
Successful completion of the Field Course: Economics of Distribution in a previous semester or enrollment in the winter term of 2023.
Registration: First-come, first-serve via LPIS.
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Important deadlines:
October 31 Submission of a sketch of the research project via Canvas.
November 7 Presentation of an outline of the research project in class. The presentation should motivate the research question and the suggested methodology and dataset. The presentation should be at most 10 minutes.
January 16 Final presentations of the project. The presentation should be at most 25 minutes. Details will be communicated in class.
January 30 Final presentation of the project. The presentation should be at most 25 minutes. Details will be communicated in class.
January 31 Submission deadline for research paper.
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