Behavioural Economics (L1083)
Behavioural Economics
Module L1083
Module details for 2019/20.
15 credits
FHEQ Level 6
Module Outline
This module will examine the psychological underpinnings of economic behaviour and examine recent theories and empirical results in behavioural economics. The starting point in core economics modules and the dominant model of choice in economics, in which agents maximize expected utility given the information they possess and the choice set they have. A growing body of empirical evidence has sought to challenge the assumption of individuals as rational economic agents. This module will analyse this recent empirical evidence across a range of fields of economics and will examine the new theories of economic behaviour.
Module learning outcomes
Have demonstrated a systematic understanding of those principles at the forefront of economics as they relate to economic problems and issues
Have demonstrated a systematic understanding of an appropriate number of specialised fields of economics (e.g. labour economics, development economics)
Be able to use the power of abstraction to focus upon the essential features of an economic problem and to provide a systematic framework for the coherent and critical evaluation of the effects of policy or other exogenous events.
Be able to analyse an economic problem or issue using an appropriate theoretical framework, recognise its limitations and appreciate uncertainties around such analyses.
Type | Timing | Weighting |
---|---|---|
Take Away paper | Revision Week Week 1 Sat 09:30 | 80.00% |
Coursework | 20.00% | |
Coursework components. Weighted as shown below. | ||
Group written submission | T2 Week 11 (5 minutes) | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
Term | Method | Duration | Week pattern |
---|---|---|---|
Spring Semester | Lecture | 2 hours | 11111111111 |
Spring Semester | Seminar | 1 hour | 01111111111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr George Mackerron
Assess convenor, Convenor
https://www.sussex.ac.uk/profiles/302100
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