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EC5217 - Behavioural Economics for Sustainable Policy

Credit points: 3
Year: 2023
Student Contribution Band: Band 4
Administered by: College of Business, Law & Governance

Economists (and their models) typically assume that people act rationally, which is a contentious assumption. This subject demonstrates persistent irrational human behaviour (for example cognitive dissonance, procrastination and norm adherence), pointing at failure of rational models. The subject then presents alternative models, which accept irrationality and have more predictive power. The subject provides relevant skills to students in economics and more broadly to students with an interest in psychology or who wish to understand how to nudge human behaviour in a desired direction.

Learning Outcomes

  • critically evaluate empirical shortcomings of rational economic models regarding intertemporal choices and social preferences and how behavioural models can do better;
  • research and investigate how humans make choices, form beliefs and deal with risk and uncertainty and appraise how this may deviate from the assumptions of rational economic models;
  • design and conduct, showing creativity and initiative, an experiment for which behavioural and rational models predict opposing outcomes, and differentiate which of the two models more accurately predicts human behaviour in a chosen setting.

Subject Assessment

  • Written > Test/Quiz 1 - (30%) - Individual
  • Written > Research report - (40%) - Individual
  • Oral > Interview - (30%) - Group.
Assumed
Knowledge:
Introductory subjects in Economics and Statistics
Inadmissible
Subject
Combinations:
BX3124 BX2124

Availabilities

Townsville, Trimester 3, Mixed attendance
Census Date 05-Oct-2023
Face to face teaching (To be advised)
Coord/Lect: Dr Daniel Grainger.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours workshops
  • 10 hours online activity - Recordings, online activities and self-directed learning.
  • 10 hours online Tutorials - Online Collaborate Sessions
  • assessment and self-directed study

Trimester 3, External
Census Date 05-Oct-2023
Coord/Lect: Dr Daniel Grainger.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 30 hours online activity - Recordings, online activities & self-directed learning
  • 10 hours online Tutorials - Online collaborate sessions
  • assessment and self-directed study
Method of Delivery: WWW - LearnJCU

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.