Syllabus

Title
2079 Topics in Behavioural Economics
Instructors
Assoz.Prof PD Melis Kartal, Ph.D., Univ.Prof. Dr. Rupert Sausgruber
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/08/17 to 09/25/17
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Tuesday 10/10/17 02:00 PM - 04:00 PM D3.0.237
Tuesday 10/17/17 02:00 PM - 04:00 PM D3.0.237
Tuesday 10/24/17 02:00 PM - 04:00 PM D3.0.237
Tuesday 10/31/17 02:00 PM - 04:00 PM D3.0.237
Tuesday 11/07/17 02:00 PM - 04:00 PM D3.0.237
Tuesday 11/14/17 02:00 PM - 04:00 PM D3.0.237
Tuesday 11/21/17 02:00 PM - 04:00 PM D3.0.237
Tuesday 12/05/17 02:00 PM - 04:00 PM D3.0.237
Tuesday 12/12/17 02:00 PM - 04:00 PM D2.0.330
Tuesday 12/19/17 02:00 PM - 04:00 PM D3.0.237
Tuesday 01/09/18 02:00 PM - 04:00 PM D3.0.237
Tuesday 01/16/18 02:00 PM - 04:00 PM D3.0.237
Tuesday 01/23/18 02:00 PM - 04:00 PM D3.0.222
Tuesday 01/30/18 02:00 PM - 04:00 PM D3.0.222
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.

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
Last edited: 2017-09-28



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