Syllabus

Title
4485 Actors, Behaviours and Decision Processes
Instructors
Roman Hausmann, MSc (WU), Univ.Prof. Mag.Dr. Sigrid Stagl, M.S.
Type
PI
Weekly hours
4
Language of instruction
Englisch
Registration
02/26/25 to 03/01/25
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day Date Time Room
Tuesday 03/04/25 09:00 AM - 12:00 PM D5.1.003
Tuesday 03/11/25 09:00 AM - 12:00 PM D5.1.003
Tuesday 03/11/25 05:00 PM - 07:00 PM D5.1.001
Tuesday 03/25/25 09:00 AM - 12:00 PM D5.1.003
Friday 03/28/25 03:30 PM - 04:30 PM D5.1.001
Tuesday 04/01/25 09:00 AM - 12:00 PM D5.1.003
Tuesday 04/08/25 09:00 AM - 12:00 PM D5.1.003
Friday 04/11/25 03:30 PM - 04:30 PM D5.1.001
Tuesday 04/22/25 09:00 AM - 12:00 PM D5.1.003
Tuesday 04/29/25 09:00 AM - 12:00 PM EA.5.030
Tuesday 05/06/25 09:00 AM - 12:00 PM D5.1.003
Friday 05/09/25 03:30 PM - 04:30 PM D5.1.001
Tuesday 05/13/25 09:00 AM - 12:00 PM D5.1.003
Tuesday 05/20/25 09:00 AM - 12:00 PM D5.1.003
Friday 05/23/25 03:30 PM - 04:30 PM D5.1.001
Tuesday 05/27/25 09:00 AM - 12:00 PM D5.1.003
Tuesday 06/03/25 09:00 AM - 12:00 PM D5.1.003
Tuesday 06/24/25 09:00 AM - 12:00 PM D5.1.003
Contents

This course focuses on the human element of the economic system. We examine a wide range of behavioural science theories from neo-classical economics, psychology, behavioural economics, sociology, and complexity economics to better understand how humans behave and make decisions that impact the economy, the environment, and society. The course focuses on the wide range of cases where people might make decisions that are inconsistent with standard economic theory and the assumptions of rational decision making. These cases include “irrational” patterns of thinking about money and investments, how expectations shape perception, economic and psychological analyses of dishonesty by honest people, how social and financial incentives work together (or against each other) in labour, and the role of self‐control and emotions (rather than cognition) in decision making. The course presents an interdisciplinary perspective on how to understand, research and change human behaviour.

 

We take a multilevel and multimodal approach to exploring each theory. Throughout the course, students will: 1) Focus on the varying ontological and epistemological perspectives that underlie knowledge generation in the different behavioural sciences. 2) Learn how these theories are applied at the individual and aggregate levels. 3) Tangibly engage with selected research methods, such as economics experiments, games, and surveys. 4) Delve into contemporary sustainability policy issues such as income inequality, climate change, and resource conservation from a behavioural science perspective.

This course offers students a framework to help select theories for own research. Further, it helps students think creatively and critically about the application of behavioural sciences to sustainability-focused public policies.

Learning outcomes
  • know selected socio-economic theories of human behaviour;
  • explain the different approaches to understanding and knowledge generation that underlie the different behavioural sciences;
  • explain the different ontological and epistemological assumptions in different bodies of behavioural research and as used by different disciplinary experts;
  • critically interrogate empirical evidence on human behaviour generated by use of different methods;
  •  apply insights about human behaviour for the design of public policies
Attendance requirements

Any absence from class should be notified to the course tutor in advance, regardless of whether the class takes place in onlince or presence mode. In line with the WU's course attendance requirements, you cannot miss more than 6 hrs of class (equivalent of two class sessions) over the entire semester.  This allowance is for serious unforeseen circumstances and should not be used simply for taking time-off, job interviews, working, planned into holidays or similar.

Teaching/learning method(s)

For your optimal learning experience your course instructors employ the inverted classroom teaching method (“blended learning”). Therefore, your weekly 3-hours sessions will be split into two parts. For the first half (thematic input) your course instructors will provide you with recorded lectures prior to the in-class session. To prepare yourself for class you need to watch the recorded lecture as well as read the respective course literature. The second half of the lecture takes place in class in small groups to work in a problem-based mode. In this part, you will apply and discuss your readings and insights from recorded lectures.

 

Students are expected to:

- actively read the assigned readings and watch the recorded video lectures before class

- prepare and revise for exams

- actively participate in discussions and group work in class

- develop own ideas for a paper and complete the writing exercise

- respect the university’s honour code, most notably the sections on plagiarism.

Assessment

Exams (60%): Four exams (15% each). Each exam lasts half an hour. You are asked to answer 3 out of 4 questions.

Friday, 28 March 2025 15:30

Neoclassical Economics, Behavioural Economics & Experimental Economics

Friday, 11 April 2025 15:30

Evolutionary, Institutional, Complexity Economics

Friday, 9 May 2025 15:30

Agency/Structure and Practice Theory

Friday, 23 May 2025 15:30

Narratives, Human Needs & Capability Approach

 

Individual Essay (40%)

  • Free choice of topic
  • Build on course materials & critically reflect them
  • Word limit: roughly 6 000 words
  • Submission deadline: 2 July 2025. This is a strict deadline. Submissions within 24 hours after the deadline will be accepted with a mark-down of 25% of points. Thereafter, we will not accept any late submissions. No exceptions. All submissions have to be uploaded at Learn@WU.

 

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.

Last edited: 2025-01-16



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