Syllabus

Title
1514 Applied Socioeconomic Theories and Methods
Instructors
Univ.Prof. Dr. Marcel Bilger, Assist.Prof. Dr. Sophie Guthmuller
Contact details
marcel.bilger@wu.ac.at sophie.guthmuller@wu.ac.at
Type
PI
Weekly hours
4
Language of instruction
Englisch
Registration
10/15/20 to 10/19/20
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Applied Socioeconomic Theories and Methods II
Dates
Day Date Time Room
Thursday 10/22/20 10:00 AM - 12:00 PM TC.4.02
Thursday 10/22/20 12:00 PM - 02:00 PM TC.-1.61
Friday 10/23/20 10:00 AM - 11:00 AM Virtueller PC-Raum S
Thursday 10/29/20 10:00 AM - 12:00 PM TC.4.02
Thursday 10/29/20 12:00 PM - 02:00 PM Virtueller PC-Raum M
Thursday 10/29/20 12:00 PM - 02:00 PM TC.-1.61
Thursday 11/05/20 10:00 AM - 12:00 PM TC.4.02
Thursday 11/05/20 12:00 PM - 02:00 PM Virtueller PC-Raum M
Thursday 11/05/20 12:00 PM - 02:00 PM TC.-1.61
Thursday 11/19/20 10:00 AM - 12:00 PM Online-Einheit
Thursday 11/19/20 12:00 PM - 02:00 PM Virtueller PC-Raum M
Thursday 11/26/20 10:00 AM - 12:00 PM Online-Einheit
Thursday 11/26/20 12:00 PM - 02:00 PM Virtueller PC-Raum M
Thursday 12/03/20 10:00 AM - 12:00 PM Online-Einheit
Thursday 12/03/20 12:00 PM - 02:00 PM Virtueller PC-Raum M
Thursday 12/10/20 10:00 AM - 12:00 PM Online-Einheit
Thursday 12/10/20 12:00 PM - 02:00 PM Virtueller PC-Raum M
Thursday 12/17/20 10:00 AM - 02:00 PM Virtueller PC-Raum M
Thursday 01/07/21 10:00 AM - 02:00 PM Virtueller PC-Raum M
Thursday 01/14/21 10:00 AM - 02:00 PM Virtueller PC-Raum M
Thursday 01/21/21 10:00 AM - 02:00 PM Virtueller PC-Raum M
Thursday 01/28/21 10:00 AM - 02:00 PM Online-Einheit

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Procedure for the course when limited activity on campus

The lectures will be offered in a hybrid mode where part (or all) the students will be streaming the lectures on a rotational basis. Depending on class size, attendance to the PC rooms will be slightly reduced by having student groups sending delegates working and interacting with the lecturers. The mid-term exam will take place online during a flexible time window and the group presentations will be delivered on a rotational basis with only half the classroom physically present.

In case the sanitary conditions were to further deteriorate, the course would fully continue on distance mode as planned. To offer maximal flexibility, the lectures would be given asynchronously via voice-annotated powerpoint presentations supported by Q&As on online discussion forums. The lectures would be complemented by take-home exercises with support given via online forums and video conferences. Last, coaching of group projects would be done via group-specific discussion forums and video conferences. Group presentation would be delivered using voice-annotated powerpoints and commenting on other group projects would be done remotely and aychronously.

 

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Contents
The course is intended to introduce central socioeconomic theories and methods from a multidisciplinary perspective. The topic of health is integrally treated from the perspective of different socioeconomic disciplines (such as sociology, economics, and demography). 
 
The following content areas will be covered:
    • Health and its socioeconomic determinants
    • Health behaviors
    • Utilization and access to health care
    • Equity in health and financing

    The focus is on the application of these theories and methods. The course will include a progressive introduction to the statistical software for statistical analysis Stata, which the students will use to analyze survey data throughout the semester. In addition, the students will work in groups to develop and analyze their own research question under the guidance of the lecturers.

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    Learning outcomes
    After completing this course, students should be able to:
    • Understand, classify and evaluate central socioeconomic theories and methods
    • Recognize the multi-dimensionality of problem situations in health research
    • Adapt socioeconomic theories and methods to specific fields of application and to apply them to specific socioeconomic questions
    • Examine and develop integrative research designs
     
    This course also supports the following skills:
    • Analyze survey data using various Stata commands
    • Apply relevant research designs to identify causal effects
    • Work in a team environment and give oral presentations
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    Attendance requirements

    It is mandatory to attend the first lecture unless otherwise explicitly informed by e-mail. 75% attendance is required.

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    Teaching/learning method(s)
    • Short lectures with a critical reflection of relevant literature on theories and methods
    • Computer-based exercises using survey data
    • Group discussions to develop an integrative research design
    • Student presentations
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    Assessment
    • mid-term exam (40%)
    • group presentations of a research project (40%)
    • active and constructive comments given on other group projects (20%)
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    Availability of lecturer(s)

    E-Mail for office hours.

    Last edited: 2021-01-21



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