BEHAVIOURAL ECONOMICS - 2020/1
Module code: ECO3052
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice in time for the start of the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
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.
BOZBAY Irem (Economics)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 6
JACs code: L110
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 128
Lecture Hours: 22
Prerequisites / Co-requisites
Indicative content includes:
- Rationality and Expected utility theory
- Prospect theory and Reference-dependent preferences
- Hyperbolic discounting
- Other regarding preferences
|Assessment type||Unit of assessment||Weighting|
|School-timetabled exam/test||In-Semester Test||30|
|Examination||2 hour Examination||70|
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.
- 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
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
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: ECO3052
Programmes this module appears in
|Economics BSc (Hons)||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Business 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|
|Politics and Economics BSc (Hons)||1||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Economics and Mathematics 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 2020/1 academic year.