Syllabus

Title
6058 Topics in Behavioural Economics
Instructors
Assoz.Prof PD Melis Kartal, Ph.D., Univ.Prof. Dr. Rupert Sausgruber
Type
FS
Weekly hours
2
Language of instruction
Englisch
Registration
02/12/20 to 02/26/20
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Tuesday 03/10/20 02:00 PM - 04:00 PM TC.4.28
Tuesday 03/17/20 02:00 PM - 04:00 PM TC.4.28
Tuesday 03/24/20 02:00 PM - 04:00 PM TC.4.28
Tuesday 03/31/20 02:00 PM - 04:00 PM TC.4.28
Tuesday 04/21/20 02:00 PM - 04:00 PM TC.4.28
Tuesday 04/28/20 02:00 PM - 04:00 PM TC.4.28
Tuesday 05/05/20 02:00 PM - 04:00 PM Online-Einheit
Tuesday 05/12/20 02:00 PM - 04:00 PM Online-Einheit
Tuesday 05/19/20 02:00 PM - 04:00 PM Online-Einheit
Tuesday 05/26/20 02:00 PM - 04:00 PM Online-Einheit
Tuesday 06/02/20 02:00 PM - 04:00 PM Online-Einheit
Tuesday 06/09/20 02:00 PM - 04:00 PM Online-Einheit
Tuesday 06/16/20 02:00 PM - 04:00 PM Online-Einheit
Tuesday 06/23/20 02:00 PM - 04:00 PM Online-Einheit
Contents

In this course, we survey research which incorporates behavioral and psychological evidence into economics. In particular, we consider how predictions of economic behavior differ when standard homo-economicus assumptions are replaced with psychologically realistic assumptions based on empirical observations from the lab and from the world. We also consider the implications of the modified models for market outcomes and public policy. Topics include (but are not limited to) fairness, altruism, and reciprocity; preferences for redistribution; heuristics and cognitive biases; time preferences and dynamic inconsistency.


Learning outcomes

Participants will learn how psychological, cognitive, and social factors affect the economic decisions of individuals and institutions, the consequences of such factors for market outcomes, efficiency and allocations, and their policy relevance. This course is highly recommended for Ph.D. students who would like to write a thesis on behavioral and/or experimental economics.

Attendance requirements

attendance required, max. 2 absences

Teaching/learning method(s)
Teaching/learning methods of this course consist of lectures, reading materials, exercises, and student presentations.
Assessment

There are a total of 100 Points, which are divided as follows:

  • student presentation and discussion: 40 points
  • assignments:10 points
  • final exam: 50 points
Other

We would like to point out that the attendance in the 1. unit of this course is absolutely necessary.

In case you cannot attend the 1. unit of this course please contact the course instructors in advance. 

 

Last edited: 2019-12-04



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