ECON42660

Learning Outcomes:

The key learning outcomes of this module:
• A mastery of key concepts in behavioural economics.
• An understanding of how theory and empirics can be combined to better understand human behaviour.
• The ability to apply behavioural concepts more generally to economic areas of interest.
• The ability to critically evaluate, present, and write about research in Behavioural Economics.

Indicative Module Content:

The course will focus on the following topics:
• Methodology.
• Bounded Rationality in Individual Decisions. Heuristics and Biases.
• Framing. Reference Dependence.
• Bounded Rationality in Games. Level-k. Focal Points. Variable Frame Theory. Coordination and Cognition. Categorization.
• Identity Economics. Social Preferences, Beliefs, and Coordination.
• Diversity in Organizations.

Student Effort Hours:

Approaches to Teaching and Learning:

The module will be delivered through a series of lectures on cutting-edge topics in behavioural economics. The approach to teaching and learning is highly interactive and includes student presentations, class discussions, and individual as well as group work. Students will have the opportunity to participate in interactive classroom experiments using their smartphones. This technology-enhanced approach allows students to experience an economic decision making problem, work on a solution, and receive real-time feedback, promoting active and experiential learning.

Learning Recommendations:

There are no formal pre-requisites for the course. However, prior knowledge of microeconomics, game theory, and statistical methods will be assumed.

Not applicable to this module.
 

Assessment Strategy  

 

Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

- Students will receive comments following their group presentation - Students will be given individual feedback in the form of grades for the presentation and exam paper

There is no single textbook for the course and much of the material is based on scientific articles and books. A detailed References List will be provided for each topic.