Syllabus

Title
0804 Specialization Course - Economics of Distribution
Instructors
Franziska Disslbacher, MSc (WU), Dr. Mathias Moser
Contact details
  • Type
    PI
  • Weekly hours
    4
  • Language of instruction
    Englisch
Registration
09/18/19 to 10/06/19
Registration via LPIS
Notes to the course
Subject(s) Bachelor Programs
Dates
Day Date Time Room
Tuesday 10/08/19 03:30 PM - 07:30 PM TC.5.18
Tuesday 10/15/19 03:30 PM - 05:30 PM D4.2.213
Friday 10/18/19 02:30 PM - 08:30 PM D4.2.213
Tuesday 10/29/19 03:30 PM - 07:30 PM TC.5.18
Tuesday 11/05/19 03:30 PM - 07:30 PM TC.5.18
Friday 11/08/19 03:30 PM - 07:30 PM D4.2.213
Tuesday 11/12/19 04:00 PM - 08:00 PM TC.4.01
Friday 11/15/19 03:30 PM - 08:30 PM D4.2.213
Tuesday 11/26/19 03:30 PM - 06:30 PM TC.5.12
Friday 11/29/19 03:30 PM - 05:30 PM TC.4.02
Tuesday 12/03/19 03:30 PM - 06:30 PM EA.5.040
Friday 12/06/19 03:30 PM - 05:30 PM TC.4.13
Tuesday 12/10/19 03:30 PM - 06:30 PM TC.4.17
Friday 12/13/19 03:30 PM - 05:30 PM TC.3.11
Tuesday 12/17/19 03:30 PM - 06:30 PM D5.1.002
Friday 12/20/19 03:30 PM - 05:30 PM TC.3.10
Tuesday 01/07/20 03:30 PM - 06:30 PM TC.3.10
Friday 01/10/20 03:30 PM - 05:30 PM TC.5.12
Friday 01/31/20 02:00 PM - 04:30 PM D4.0.019

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

Attendance strictly required

Teaching/learning method(s)

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

Assessment

Two online R Assignments (10%) - Individual - deadline: 18.10.2019

Two practical R Assignements (20%) - Group - deadlines: 05.11.2019 & 12.11.2019

Survey presentation (10%) - Group -  05.11.2019 & 12.11.2019

Essay Exam (20%) - Individual - 15.11.2019

Student presentation (20%) - Group -  29.11, 6.12., 13.12, 20.12.2019 & 10.01.2019

Five mini-Quizzes (15%) - Individual - 26.11, 3.12, 10.12, 17.12.2019 & 07.01.2019

Participation in class (5%) - Individual

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.

Readings

1
Title:

Papers will be distributed via the learning platform.


Availability of lecturer(s)

 franziska.disslbacher@wu.ac.at; mathias.moser@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.

Unit details

Unit Date Contents
1 08.10.2019

Introduction

2 15.10.2019

Introduction to Programming with R

3 18.10.2019

Survey Methodology I

4 05.11.2019

Survey Methodology II

5 12.11.2019

Survey Methodology III

6 15.11.2019

Exam

7 26.11.2019

Topics in Inequality Research I

8 29.11.2019

Topics in Inequality Research I

9 03.12.2019

Topics in Inequality Research II

10 06.12.2019

Topics in Inequality Research II

11 10.12.2019

Topics in Inequality Research III

12 13.12.2019

Topics in Inequality Research III

13 17.12.2019

Topics in Inequality Research IV

14 20.12.2019

Topics in Inequality Research IV

15 07.01.2020

Topics in Inequality Research V

16 10.01.2020

Topics in Inequality Research V

Last edited: 2019-08-27



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