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Experimental Methods in Decision Studies (FNCE90070)
Graduate courseworkPoints: 12.5On Campus (Parkville)
You’re currently viewing the 2019 version of this subject
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Peter Bossaerts (peter.bossaerts@unimelb.edu.au)
Carsten Murawski (carstenm@unimelb.edu.au)
Overview
| Availability | Semester 2 |
|---|---|
| Fees | Look up fees |
This subject involves in-depth analysis of experimental design and management, and subsequent data processing for in-laboratory and field experiments on human decision-making, with a focus on choice under uncertainty, inter-temporal choice, and complex choice situations. Experiments include single-subject, small-group, and large-group contexts including financial markets. Emphasis is on incentivised, deception-free experimentation.
Intended learning outcomes
On successful completion of this subject students should be able to:
- Design incentivised, deception-free experiments appropriate to testing or exploring theories about human decision-making
- Obtain the required ethics approval
- Choose or build the right computer interface (if applicable)
- Collect and analyse the resulting data in a way that is appropriate for the scientific question at hand
- Calibrate monetary or other incentives.
Generic skills
- High level of development: written communication; interpretation and analysis; critical thinking.
- Moderate level of development: collaborative learning; formulating problems; problem solving; team work; application of theory to practice; accessing data and other information from a range of sources.
- Some level of development: oral communication; statistical reasoning; designing experiments; synthesis of data and other information; evaluation of data and other information; use of computer software.
Last updated: 3 November 2022