Syllabus

Title
2173 Research & Policy Seminar: Economics of Distribution
Instructors
Franziska Disslbacher, PhD, MSc, BSc, Pirmin Fessler, Ph.D.
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/18/23 to 09/24/23
Registration via LPIS
Notes to the course
Dates
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
Contents

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.

Learning outcomes

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.
Attendance requirements

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.

Teaching/learning method(s)
  • 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.
Assessment

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                

Prerequisites for participation and waiting lists

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.

 

Readings

Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.

Availability of lecturer(s)

By appointment.

Other

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.

Unit details
Unit Date Contents
1
Last edited: 2023-07-19



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