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BX3124 - Behavioural Economics for Sustainable Policy

Credit points: 3
Year: 2020
Student Contribution Band: Band 3
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

  • design an experiment for which behavioural and rational models predict opposing outcomes, to infer which of the two models more accurately predicts human behaviour in a chosen setting;
  • examine and critique how humans make choices, form beliefs and deal with risk and uncertainty and how this may deviate from the assumptions of rational economic models;
  • describe empirical shortcomings of rational economic models regarding inter-temporal choices and social preferences and compare this to the application of behavioural models.

Subject Assessment

  • Invigilated > End of semester exam - (40%)
  • Non-Invigilated > Assignments - (20%)
  • Mid Semester Test - (40%).
Prerequisites: BU1003 OR BU1903 OR EV2003 OR EG4000
Inadmissible
Subject
Combinations:
EC5217 BX2124

Availabilities

Townsville, Internal, Study Period 2
Census Date 27-Aug-2020
Coordinator: Assoc. Professor Riccardo Welters
Lecturers: Dr Daniel Grainger, <Person not found>.
Workload expectations:

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

  • 38 hours - Combined Lectures; Tutorials/Workshops; Lecturer directed activities.
  • assessment and self-directed study

External, Study Period 2
Census Date 27-Aug-2020
Coordinator: Assoc. Professor Riccardo Welters
Lecturers: Dr Daniel Grainger, <Person not found>.
Workload expectations:

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

  • 36 hours online collaboration sessions - Online engagement
  • 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.