BEHAVIOURAL ECONOMICS - 2018/9
Module code: ECO3052
BOZBAY I Dr (Economics)
Number of Credits
FHEQ Level 6
Module cap (Maximum number of students)
Overall student workload
Independent Study Hours: 128
Lecture Hours: 22
|Assessment type||Unit of assessment||Weighting|
|School-timetabled exam/test||In-Semester Test||30|
|Examination||2 hour Examination||70|
Prerequisites / Co-requisites
This module introduces students to the field of behavioural economics which incorporates psychological evidence into economics. The canonical approach in economics explains market outcomes and economic decision-making using theoretical models which usually assume that people are fully rational. Behavioural economics, on the other hand, studies how people actually make decisions, by considering a number of real life decision making situations where some standard rationality assumptions on preferences do not hold. This module will present these departures by using empirical and experimental findings, as well as formalising theoretically their common pattern.
provide a broad overview of important results from behavioural economics;
combine and compare canonical topics in economics (such as expected utility theory, rationality of preferences) with observed psychological regularities;
formalise departures from the assumptions made in the canonical economic models by examining empirical and experimental evidence.
develop an understanding of how people make decisions.
|001||On successful completion of this module, students will be able to demonstrate a broad knowledge of the important theoretical and empirical results of behavioural economics;||KCP|
|002||Analyse and interpret the main empirical and experimental findings in behavioural economics||KCPT|
|003||Apply core concepts from behavioural economics to generate new insights in different decision making settings||KCT|
|004||Be able to solve mathematical problems under these conditions||KCT|
|005||Be able to graphically and intuitively explain the theory they learn||CPT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Indicative content includes:
Rationality and Expected utility theory
Prospect theory and Reference-dependent preferences
Other regarding preferences
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
enhance understanding and intuition of behavioural economics;
enhance ability to identify and examine evidence of departure from the assumptions made in the canonical economic model;
help students understand how these departures can be formalised theoretically and be tested empirically.
enhance skills in applying mathematical methods to behavioural economics
enhance reasoning about decision making in daily life.
The learning and teaching methods include:
2-hour lecture per week x 11 weeks
The assessment strategy is designed to provide students with the opportunity to demonstrate
Knowledge of the main empirical and experimental findings in behavioural economics;
Ability to apply the knowledge of core concepts from behavioural economics to new problems;
Ability to apply technical skills introduced in the module;
Thus, the summative assessment for this module consists of:
A class test (worth 30% of the overall mark)
A final exam (worth 70% of the overall mark)
Formative assessment and Feedback
Students receive verbal feedback during lectures (in which questions and real-world examples in economics are both attempted and discussed). Feedback to assessments will be given during lectures and students will be provided feedback documents which summarise commonly made mistakes in the assessments. For the course work and the exam, sample questions are made available for students so that they can familiarise themselves with the setup.
Programmes this module appears in
|Business Economics BSc (Hons)||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Economics BSc (Hons)||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Economics and Finance BSc (Hons)||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2018/9 academic year.