Behavioural Economics II: Games and Markets
Postgraduate: Level 7
Monday 13 January 2020
Friday 20 March 2020
02 October 2019
Requisites for this module
MSC L11912 Behavioural Economics,
MSC L11924 Behavioural Economics,
MSC L119UH Behavioural Economics
This module is designed as an introduction to Behavioural Economics. Behavioural Economics has been one of the fastest growing areas in Economics in recent years with wide-reaching impact beyond academia.
In this module we will focus on strategic interactions and markets. Students will study the circumstances under which classical theory does not serve as a good predictor of empirically observed behaviour and how behavioural economics can reconcile these empirical findings with theoretical models. Students will learn the most important empirical and theoretic findings of behavioural economics in the context of games and the workings of markets. The module will also provide an introduction into experimental methods used in behavioural economics.
While theoretical concepts and models will play an important role in the course, much of the material will focus on empirical and specifically experimental results and many of the readings will reflect this.
The aim of this module is to familiarise students will know the circumstances under which neoclassic theory fails and how behavioural economics can help contribute to a better understanding of these circumstances
Upon successful completion of this module, students will know the methodology of experimental economics and will be able to design and conduct simple experiments. Further, students will also understand the implications of behavioural biases in real life settings, such as bargaining,
marketing, or how markets react to such biases.
No additional information available.
The module will consist of one two-hour lecture per week and one one-hour class every week. Lecture notes and supporting materials can be accessed via Moodle. Problem sets will be posted in Moodle. Students are expected to complete them for class.
Feedback for this module will occur through class meetings where we will go over the answers to problem sets and where you will be able to ask questions about your own method of solution; answers that will be posted on the website for the module that will give you written guidance on the appropriate method to approach the problems, assignments, and tests; and office hours where any additional questions can be addressed. You should be sure that you use these methods to understand how to improve your own performance.
This module does not appear to have any essential texts. To see non-essential items, please refer to the module's reading list.
Assessment items, weightings and deadlines
|Coursework / exam
||120 minutes during Summer (Main Period) (Main)
Module supervisor and teaching staff
Dr Lisa Spantig
For further information, send a message to email@example.com
Dr Francis Kiraly
Available via Moodle
Of 32 hours, 30 (93.8%) hours available to students:
2 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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