Module Code: |
H8ABEC |
Long Title
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Applied Behavioural Economics
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Title
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Applied Behavioural Economics
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Module Level: |
LEVEL 8 |
EQF Level: |
6 |
EHEA Level: |
First Cycle |
Module Coordinator: |
Danielle Mc cartan-Quinn |
Module Author: |
Isabela Da Silva |
Departments: |
School of Business
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Specifications of the qualifications and experience required of staff |
Level 9 or equivalent qualification or relevant industry experience. A track record of teaching in a higher institution.
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
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Learning Outcome Description |
LO1 |
Demonstrate understanding of the strengths and weaknesses of key theoretical concepts in behavioural economics |
LO2 |
Distinguish between models that underpin decision making processes under conditions of uncertainty in the real world |
LO3 |
Evaluate experimental studies that reveal aspects of human decision making and behaviour |
LO4 |
Critically examine how choice architecture influences individual decisions and critically evaluate areas that behavioural economics can help policy making |
Dependencies |
Module Recommendations
This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
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No recommendations listed |
Co-requisite Modules
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No Co-requisite modules listed |
Entry requirements |
There are no additional entry requirements for this module. The programme entry requirements apply. No pre-requisites or co-requisites apply.
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Module Content & Assessment
Indicative Content |
Introduction to Behavioural Economics – the science of decision-making
Rational decision making
Thinking processes and modes of thought (System 1 and 2)
Bounded rationality and decision making
Decision making – the role of information, time and cognition
Satisficing – integrating two traditions
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Key concepts and models of decision making
Framing and expected utility theory
Reference dependence
Mental accounting
Prospect Theory
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Bounded Rationality and Decision Making – Cognitive biases
Bounded awareness
Anchoring
Availability
Salience
Representativeness
Status quo bias and inertia
Optimism and confidence
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Bounded Rationality and Decision Making – Intertemporal biases
Overconfidence and the planning fallacy
Narrow framing and investment decision-making
Hyperbolic discounting
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Bounded Rationality and Decision Making – Social biases
Fairness and reciprocity
Fairness in action: the ultimatum and dictatorship games
Motivational and emotional influences on individual decision-making
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Adaptive behaviour and cognition
Links between bounded rationality, ecological rationality, social rationality
Uncertainty, intuition or “gut feelings”
Power of simple heuristics for real world decision making – the art of thinking fast
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Behavioural Economic Applications
Business applications of behavioural economics in sales, HR, marketing and finance
Choice architecture and nudges
Public policy applications in Health, Tax, Housing, Central Banking, Justice and the Environment
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Assessment Breakdown | % |
Coursework | 50.00% |
End of Module Assessment | 50.00% |
AssessmentsFull Time
Coursework |
Assessment Type: |
Continuous Assessment |
% of total: |
50 |
Assessment Date: |
n/a |
Outcome addressed: |
1,2,3,4 |
Non-Marked: |
No |
Assessment Description: The continuous assessment will consist of a project where participants are required to, either in a group or individually, critically assess a current policy measure or business strategy informed by choice architecture and behavioural economic insights. Students will be expected to explain the key behaviour concept(s) upon which the policy/strategy is based and assess the experimental evidence existing in the area with a view to its implementation in other related areas. |
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End of Module Assessment |
Assessment Type: |
Terminal Exam |
% of total: |
50 |
Assessment Date: |
End-of-Semester |
Outcome addressed: |
1,2,3,4 |
Non-Marked: |
No |
Assessment Description: Students are required to sit an end of module examination which will cover all the learning outcomes of the module. The students will be given different types of questions ranging from straight forward calculations to the interpretation of accounts. |
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Reassessment Requirement |
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.
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Reassessment Description Candidates will attempt the repeat exam for the module if they do not successfully pass the module. As all learning outcomes are assessable through the repeat examination, the student does not have to re-sit failed individual CA components.
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NCIRL reserves the right to alter the nature and timings of assessment
Module Workload
Module Target Workload Hours 0 Hours |
Workload: Full Time |
Workload Type |
Workload Description |
Hours |
Frequency |
Average Weekly Learner Workload |
Lecture |
Classroom and demonstrations |
24 |
Per Semester |
2.00 |
Tutorial |
Mentoring and small-group tutoring |
12 |
Per Semester |
1.00 |
Independent Learning |
Independent learning |
89 |
Per Semester |
7.42 |
Total Weekly Contact Hours |
3.00 |
Module Resources
Recommended Book Resources |
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Wilkinson, N., & Klaes, M.. (2017), An Introduction to Behavioral Economics, 3rd Ed. Bloomsbury Academic.
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Samson, A. (2022), The Behavioural Economics Guide (annual).
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Kahneman D. (2011), Thinking Fast and Slow, Penguin.
| Supplementary Book Resources |
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Cartwright, E. (2018), Behavioral Economics, 3rd Ed. Routledge.
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Thaler, RH. (2016), Misbehaving: The Making of Behavioral Economics, WW Norton and Company.
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Just, DR. (2014), Introduction to Behavioral Economics, Wiley.
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Thaler RH and Sunstein CR. (2008), Nudge. Improving decisions about health, wealth, and happiness, Yale University Press.
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Gigerenzer, G. (2008), Gut Feelings: The intelligence of the Unconsciousness, Penguin books.
| This module does not have any article/paper resources |
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This module does not have any other resources |
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