Syllabus

Title
0707 Specialization Course - Economics of Distribution
Instructors
Franziska Disslbacher, PhD, MSc, BSc, Dr. Sofie Waltl, B.Sc.
Type
PI
Weekly hours
4
Language of instruction
Englisch
Registration
09/17/20 to 09/20/20
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Tuesday 10/06/20 12:00 PM - 02:00 PM Online-Einheit
Tuesday 10/06/20 04:00 PM - 07:00 PM Online-Einheit
Tuesday 10/13/20 12:00 PM - 02:00 PM Online-Einheit
Tuesday 10/13/20 04:00 PM - 07:00 PM Online-Einheit
Tuesday 10/20/20 12:00 PM - 02:00 PM Online-Einheit
Tuesday 10/20/20 04:00 PM - 07:00 PM Online-Einheit
Tuesday 10/27/20 12:00 PM - 02:00 PM Online-Einheit
Tuesday 10/27/20 04:00 PM - 07:00 PM Online-Einheit
Tuesday 11/03/20 12:00 PM - 02:00 PM Online-Einheit
Tuesday 11/03/20 04:00 PM - 07:00 PM Online-Einheit
Tuesday 11/10/20 12:00 PM - 02:00 PM Online-Einheit
Tuesday 11/10/20 04:00 PM - 07:00 PM Online-Einheit
Tuesday 11/17/20 12:00 PM - 02:00 PM Online-Einheit
Tuesday 11/17/20 04:00 PM - 07:00 PM Online-Einheit
Tuesday 11/24/20 12:00 PM - 02:00 PM Online-Einheit
Tuesday 11/24/20 04:00 PM - 07:00 PM Online-Einheit
Tuesday 12/01/20 12:00 PM - 02:00 PM Online-Einheit
Tuesday 12/01/20 04:00 PM - 07:00 PM Online-Einheit
Tuesday 12/15/20 12:00 PM - 02:00 PM Online-Einheit
Tuesday 12/15/20 04:00 PM - 07:00 PM Online-Einheit
Contents

The course provides a comprehensive overview about research in inequality and research methods applied. Students will acquire skills to critically assess and discuss research articles in this domain, design and carry out empirical analyses using the statistical software R, and receive an introduction into survey methodology.

The course consists of four blocks:

  1. Introduction
  2. Introduction to programming with R
  3. Survey Methodology
  4. Topics in Inequality Research

After block 3, there will be an essay exam where students will critically assess a proposed research design and come up with suggestions how to improve it.

 


Learning outcomes
  • A good command of using the statistical software R to perform empirical analyses using survey data

  • A good understanding of the advantage and disadvantages of survey data for research purposes

  • A good understanding of current lines of research in the domain of inequality

  • The ability to understand research articles and critically assess research designs and results

Attendance requirements

(Virtual) Attendance strictly required

Teaching/learning method(s)

This course is designed as a virtual class. You can be present occasionally, but participation without physical presence is also possible (due to COVID-19). However, it is required to have a stable and reliable internet connection during all sessions. 

The course mixes lectures, practical sessions where students work with survey data, and statistical software packages, as well as virtual student presentations.

Assessment

R Exercises (30%) 

Student presentation (25%) 

Quizzes (35 %) 

Active participation in discussions (10%)

Readings
1
Title:

Papers will be distributed via the learning platform.


Prerequisites for participation and waiting lists

Enrollment is based on the usual ‘first come – first serve’ principle. If you are registered but not able to participate, de-register via LPIS during the registration period so your place is available to students on the waiting list.

Availability of lecturer(s)

 franziska.disslbacher@wu.ac.at; sofie.waltl@wu.ac.at

 

Additional (blank) field

Students are required to bring their own laptop (with R or R Studio installed) to all lectures; students can rent a notebook at the Library and Learning Center.  

Deadlines are strict; no extensions will be granted.

Last edited: 2020-06-05



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