Course overview
- Study period
- Semester 1, 2025 (24/02/2025 - 21/06/2025)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Economics School
Examines approaches to economics of consumers and firms based upon applications of psychology and studies of actual behaviour in complex, uncertain and rapidly changing environments. Examines the policy implications of these contributions and includes coverage of recent work on the economics of happiness. The significance of behavioural economics was acknowledged by Nobel Prizes awarded to Herbert Simon (1978) and Daniel Kahneman (2002) and it has become widely taught in the past decade. The unit will be taught in a way that aims to develop critical thinking skills rather than focusing on mathematical techniques.
In the past two decades there has been an explosion of interest in behavioural economics, largely based on work in the USA that has sought to refashion economic theory in the light of a growing body of findings that suggest actual behaviour is at odds with how the 'rational economic agent' is expected to behave. This course will present the modern understanding of how humans truly behave in uncertain, changing, and complex environments, and our understanding of how and why it may depart from the rational agent model. In some contexts new models have been developed to understand these phenomena, and these will be used to quantitatively understand the difference between "rational" choices and more realistic human decision making. The School of Economics at the University of Queensland has members of staff who have been making contributions in both behavioural and evolutionary economics for many years and those of its staff who work in these areas tend to bring the two approaches together as a whole. Research from recent academic papers in behavioural economics will be introduced and dissected. This course provides a unique opportunity to receive an introduction to this way of looking at economics.
Course requirements
Assumed background
Introductory Microeconomics
Prerequisites
You'll need to complete the following courses before enrolling in this one:
ECON1010 or 1011
Recommended prerequisites
We recommend completing the following courses before enrolling in this one:
ECON1020
Incompatible
You can't enrol in this course if you've already completed the following:
ECON7480
Course contact
School enquiries
All enquiries regarding student and academic administration (i.e. non-course content information, e.g., class allocation, timetables, extension to assessment due date, etc.) should be directed toᅠenquiries@economics.uq.edu.au.ᅠ
Enquiries relating specifically to course content should be directed to the Course Coordinator/Lecturer.
Course staff
Lecturer
Tutor
Timetable
The timetable for this course is available on the UQ Public Timetable.
Additional timetable information
It is important that you attend tutorials for this course.
Lectures commence in Week 1.
Tutorials commence in Week 2.
Important Dates:
· Public Holidays: Fri 18 April (Good Friday), Mon 5ᅠMay (Labour Day).
· Mid-Semester Break: 21 April - 25ᅠApril. Semester 1 classes recommence on Mon 28ᅠApril.
Please see the Learning Activities section of this Course Profile for the timetabling implications of public holidays. The timetable is published through the UQ Public Timetable found in the APPs section of myUQ. Students should refer to the timetable prior to the commencement of classes to ensure that they have the most up to date information, as from time to time late room changes may occur.
Aims and outcomes
This course aims to develop a pluralistic approach to learning about economics by introducing the literature of behavioural economics and contrasting its philosophical and policy perspectives with mainstream economics. Importantly, this course does not promote behavioural economics as a replacement to classical economics, but rather as a complement. A primary objective is to critically evaluate the use of behavioural economics in understanding decision-making. Therefore, the course structure involves comparing (neo)classical economic models and behavioural approaches for each topic, enabling students to form their own judgements. A secondary aim of this course is to introduce students to research in economics. Weekly activities include discussions on published academic papers during the lectures and tutorials. A reading schedule of these papers will be available on Blackboard. The latter part of the course delves into specialised topics in both mainstream and behavioural economics, as well as a guest lecture from industry or government. This focus is reflected in the major assessment, a research proposal for an original behavioural economics project. Students are encouraged to actively engage in tutorials, designed as discussions/debates, offering a contrast to the typical problem/solution format of most economics courses.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Explain how behavioural to economics differ from mainstream (or 'classical') economic thinking.
LO2.
Describe heuristics and biases used in decision making and how these may lead either to suboptimal choices or to effective decision-making under cognitive constraints.
LO3.
Apply the concepts and tools of behavioural economics to a range of real-world situations.
LO4.
Generate better informed appraisals of economic policy discussions than you would have done if you had only applied classical economic theories.
Assessment
Assessment summary
Category | Assessment task | Weight | Due date |
---|---|---|---|
Quiz |
Online Tests
|
40% Each test is worth 20% |
Test 1 (20%) 8/04/2025 - 9/04/2025 Test 2 (20%) 6/05/2025 - 7/05/2025
Each test contains a one-hour timer within a 24-hour window that opens at 9:00am on Tuesday and closes at 9:00am on Wednesday. |
Paper/ Report/ Annotation, Participation/ Student contribution |
Research Proposal Snapshot and Peer Review
|
10% - Snapshot 7%, Peer Review 3% |
Submission of Research Proposal Snapshot 16/05/2025 5:00 pm Submission of 3 Peer Reviews 23/05/2025 5:00 pm |
Paper/ Report/ Annotation |
Behavioural Economics Research Proposal
|
50% |
9/06/2025 1:00 pm |
Assessment details
Online Tests
- Online
- Mode
- Written
- Category
- Quiz
- Weight
- 40% Each test is worth 20%
- Due date
Test 1 (20%) 8/04/2025 - 9/04/2025
Test 2 (20%) 6/05/2025 - 7/05/2025
Each test contains a one-hour timer within a 24-hour window that opens at 9:00am on Tuesday and closes at 9:00am on Wednesday.
- Other conditions
- Time limited.
- Learning outcomes
- L01, L02, L03, L04
Task description
Coverage for each test will be announced beforehand on Blackboard. There is a 24 hour window in which to take your test. Once you begin your test on Blackboard, a timer will count down from 60 minutes. If you are unable to sit the test, please see the instructions in the "Extension" section below for applying for an extension.
Use of AI
This task has been designed to be challenging, authentic and complex. Whilst students may use Al technologies, successful completion of assessment in this course will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.
Submission guidelines
The test is posted and answered on Blackboard by due date and time.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.
Requests for the granting of extensions must be submitted through my.UQ: Applying for an extension - my.UQ - University of Queensland with supporting documentation before the submission due date/time. If an extension is approved, the new agreed date for submission will be noted on the application and the student notified through their student email. Extensions cannot exceed the number of days you suffered from a medical condition, as stated on the medical certificate.
This assessment has a maximum extension of 7 days (including weekend days) to ensure timely feedback to other students.
The following are not grounds for an extension, including but not limited to:
- computer or internet problems;
- holiday arrangements;
- misreading an assignment due date or time;
- unexpected events causing the loss of a few hours of study time close to the due date;
- difficulty studying effectively or adjusting to the demands of university life;
- visa or financial problems;
- everyday levels of stress and/or anxiety associated with employment and/or studying; or
- ordinary family events or commitments.
Late submission
Exams submitted after the end of the submission time will incur a late penalty.
Where an extension has not been previously approved, the following penalties apply in alignment with the UQ Examinations Procedure.
- Less than 5 minutes late: 5% penalty
- From 5 minutes to less than 15 minutes late: 20% penalty
- More than 15 minutes late: 100% penalty
Research Proposal Snapshot and Peer Review
- Online
- Mode
- Written
- Category
- Paper/ Report/ Annotation, Participation/ Student contribution
- Weight
- 10% - Snapshot 7%, Peer Review 3%
- Due date
Submission of Research Proposal Snapshot 16/05/2025 5:00 pm
Submission of 3 Peer Reviews 23/05/2025 5:00 pm
- Learning outcomes
- L01, L02, L03, L04
Task description
This assessment is designed to support students in preparing for the major research project in behavioral economics. It encourages early engagement with research ideas, provides initial feedback, and develops peer review skills.
Students will submit a 150-200 word Research Proposal Snapshot by the end of Week 11 via Turnitin (7%). After submission, each student will be assigned three peer Snapshots to review and provide constructive feedback by the end of Week 12 (3% total). Each peer review will receive marks based on the quality of substantive and constructive feedback provided.
More details will be provided during the course.
Use of AI
This task has been designed to be challenging, authentic and complex. Whilst students may use Al technologies, successful completion of assessment in this course will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.
To pass this assessment, students will be required to demonstrate detailed comprehension of their written submission independent of Al tools. A failure to reference Al use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Submission of both the Research Proposal Snapshot and the three Peer Reviews is through Turnitin. More details will be provided on Blackboard.
Deferral or extension
You cannot defer or apply for an extension for this assessment.
Due to the peer review requirements and to ensure a fair distribution of peer feedback, there are NO late submissions or extensions permissible for these tasks.
Late submission
You will receive a mark of 0 if this assessment is submitted late.
Due to the peer review requirements and to ensure a fair distribution of peer feedback, there are NO late submissions or extensions permissible for these tasks.
Behavioural Economics Research Proposal
- Online
- Mode
- Written
- Category
- Paper/ Report/ Annotation
- Weight
- 50%
- Due date
9/06/2025 1:00 pm
- Learning outcomes
- L01, L02, L03, L04
Task description
The essay is a proposal for conducting an original research project in behavioural economics.
Your proposal will include:
- an introduction (which consists of a motivation, related literature review and the research question),
- discussion of alternative theories,
- design of the proposed methodology to causally answer your research question, such as the design of a lab experiment, a field intervention, analysis of secondary data, or pure theoretical modelling
- discussion of expected results (including the variables you would use in your analysis); and
- a conclusion, which describes the potential contribution of the paper to the literature and/or policy implications.
More details will be provided during the course.
Use of AI
AI Use Allowed: Students are allowed to use AI for this assessment. Students are required to fill out a survey about their use of AI for this assessment, worth 1% of their final mark.
This task has been designed to be challenging, authentic and complex. Whilst students may use Al technologies, successful completion of assessment in this course will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.
To pass this assessment, students will be required to demonstrate detailed comprehension of their written submission independent of Al tools. A failure to reference Al use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Submission via Turnitin on Blackboard
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 14 days. Extensions are given in multiples of 24 hours.
Requests for the granting of extensions must be submitted through my.UQ: Applying for an extension - my.UQ - University of Queensland with supporting documentation before the submission due date/time. If an extension is approved, the new agreed date for submission will be noted on the application and the student notified through their student email. Extensions cannot exceed the number of days you suffered from a medical condition, as stated on the medical certificate.
This assessment has a maximum extension of 14 days (including weekend days) to ensure timely feedback to other students.
The following are not grounds for an extension, including but not limited to:
- computer or internet problems;
- holiday arrangements;
- misreading an assignment due date or time;
- unexpected events causing the loss of a few hours of study time close to the due date;
- difficulty studying effectively or adjusting to the demands of university life;
- visa or financial problems;
- everyday levels of stress and/or anxiety associated with employment and/or studying; or
- ordinary family events or commitments.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
Grade | Cut off Percent | Description |
---|---|---|
1 (Low Fail) | 0% - 29% |
Absence of evidence of achievement of course learning outcomes. |
2 (Fail) | 30% - 46% |
Minimal evidence of achievement of course learning outcomes. |
3 (Marginal Fail) | 47% - 49% |
Demonstrated evidence of developing achievement of course learning outcomes |
4 (Pass) | 50% - 64% |
Demonstrated evidence of functional achievement of course learning outcomes. |
5 (Credit) | 65% - 74% |
Demonstrated evidence of proficient achievement of course learning outcomes. |
6 (Distinction) | 75% - 84% |
Demonstrated evidence of advanced achievement of course learning outcomes. |
7 (High Distinction) | 85% - 100% |
Demonstrated evidence of exceptional achievement of course learning outcomes. |
Additional course grading information
A student’s final overall end of semester percentage mark will be rounded to determine their final grade.
For example, 64.5% rounds to 65%, while 64.4% rounds to 64%.
Supplementary assessment
Supplementary assessment is available for this course.
Additional assessment information
Plagiarism
The School of Economics is committed to reducing the incidence of plagiarism. Further information on plagiarism and how to avoid an allegation of plagiarism is available in this course profile under Policies & Procedures. Please refer to theᅠAcademic Integrity Module (AIM). It is strongly recommended that you complete the AIM if you have not already done so.
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Find the required and recommended resources for this course on the UQ Library website.
Additional learning resources information
We will discuss a number of published academic papers during the course. A list with a reading schedule will be posted on Blackboard, with papers added gradually during the semester depending on the input of students. It is important that students read these papers before they are discussed in class.
Video and audio recordings of lectures are typically posted on Blackboard within a day of the class occurring. Additional links to videos and articles, etc. will be posted in the relevant lecture or tutorial folder.
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
Learning period | Activity type | Topic |
---|---|---|
Week 1 (24 Feb - 02 Mar) |
Tutorial |
There are no tutorials in Week 1 |
Lecture |
Lecture 1: Introduction to behavioural economics Readings/Ref: Angner (Ch.1) Learning outcomes: L01, L02, L03 |
|
Week 2 (03 Mar - 09 Mar) |
Tutorial |
Tutorial 1 Tutorial based on concepts from lecture 1. Learning outcomes: L01 |
Lecture |
Lecture 2: Rational choice under certainty Readings/Ref: Angner (Ch.2) Learning outcomes: L01, L02, L03 |
|
Week 3 (10 Mar - 16 Mar) |
Tutorial |
Tutorial 2 Tutorial based on concepts from lecture 2. Learning outcomes: L01, L02, L03, L04 |
Lecture |
Lecture 3: Decision-making under certainty Readings/Ref: Angner (Ch.3) Learning outcomes: L01, L02, L03, L04 |
|
Week 4 (17 Mar - 23 Mar) |
Tutorial |
Tutorial 3 Tutorial based on concepts from lecture 3. Learning outcomes: L01, L02, L03, L04 |
Lecture |
Lecture 4: Probability judgement Readings/Ref: Angner (Ch.4.1-4.3; Ch.5.1-5.3) Learning outcomes: L01, L02, L03, L04 |
|
Week 5 (24 Mar - 30 Mar) |
Tutorial |
Tutorial 4 Tutorial based on concepts from lecture 4. Learning outcomes: L01, L02, L03, L04 |
Lecture |
Lecture 5: Judgement under risk and uncertainty Readings/Ref: Angner (Ch.4.4-4.6, Ch.5.4-5.7) Learning outcomes: L01, L02, L03, L04 |
|
Week 6 (31 Mar - 06 Apr) |
Tutorial |
Tutorial 5 Tutorial based on concepts from lecture 5. Learning outcomes: L01, L02, L03, L04 |
Lecture |
Lecture 6: Rational choice under risk&uncertainty Readings/Ref: Angner (Ch.6) Learning outcomes: L01, L02, L03, L04 |
|
Week 7 (07 Apr - 13 Apr) |
Tutorial |
Tutorial 6 Tutorial based on concepts from lecture 6. Learning outcomes: L01, L02, L03, L04 |
Lecture |
Lecture 7: Decision-making under risk&uncertainty Readings/Ref: Angner (Ch.7) Learning outcomes: L01, L02, L03, L04 |
|
Week 8 (14 Apr - 20 Apr) |
Tutorial |
Tutorial 7 Tutorial based on concepts from lecture 7. NOTE: Good Friday is a Public Holiday, therefore no classes will be held on this day. Students are invited to attend an alternative class for this week only. Learning outcomes: L01, L02, L03, L04 |
Lecture |
Lecture 8: Intertemporal choice Readings/Ref: Angner (Ch.8, Ch.9) Learning outcomes: L01, L02, L03, L04 |
|
Mid-sem break (21 Apr - 27 Apr) |
No student involvement (Breaks, information) |
Mid-Semester Break |
Week 9 (28 Apr - 04 May) |
Tutorial |
Tutorial 8 Tutorial based on concepts from lecture 8. Learning outcomes: L01, L02, L03, L04 |
Lecture |
Lecture 9: Strategic interaction Readings/Ref: Angner (Ch.10, Ch.11) Learning outcomes: L01, L02, L03, L04 |
|
Week 10 (05 May - 11 May) |
Tutorial |
Tutorial 9 Tutorial based on concepts from lecture 9. NOTE: Labour Day (Monday) is a Public Holiday, therefore no classes will be held on this day. Students are invited to attend an alternative class for this week only. Learning outcomes: L01, L02, L03, L04 |
Lecture |
Lecture 10: Special topic (I) A lecture on a particular application of behavioural economics. Topics will be chosen during the semester. Learning outcomes: L01, L02, L03, L04 |
|
Week 11 (12 May - 18 May) |
Tutorial |
Tutorial 10 Tutorial based on concepts from lecture 10. Learning outcomes: L01, L02, L03, L04 |
Lecture |
Lecture 11: Special topic (II) A lecture on a particular application of behavioural economics. Topics will be chosen during the semester. Learning outcomes: L01, L02, L03, L04 |
|
Week 12 (19 May - 25 May) |
Tutorial |
Tutorial 11 Tutorial based on concepts from lecture 11. Learning outcomes: L01, L02, L03, L04 |
Lecture |
Lecture 12: Special topic (III) A lecture on a particular application of behavioural economics. Topics will be chosen during the semester. Learning outcomes: L01, L02, L03, L04 |
|
Week 13 (26 May - 01 Jun) |
Tutorial |
Tutorial 12 Tutorial based on concepts from lecture 12. Learning outcomes: L01, L02, L03, L04 |
Lecture |
Lecture 13: Revision Learning outcomes: L01, L02, L03, L04 |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments - Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.