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Curricular information is subject to change
At the end of the module, you will be able to:
• Describe the key experimental and causal methods in behavioural economics
• Articulate key methodological debates on causal methods
• Demonstrable theoretical knowledge on the key processes involved in conducting field, online, and lab experiments
• Evaluate the strengths and limitations of field, online, and lab experiments
• Apply practical experience in designing a field, online, and lab experiment.
Module Overview & Introduction to Randomised Controlled Trials I
Introduction to Randomised Controlled Trials II
Methods of Randomisation
Power Analysis & Sample Size
Measurement
Analysis & Threats to Validity
Lab/survey Experiments: Practical Guide
Data Analysis
Social, Risk and time preferences
A Moment of Creation (Kahneman and Tversky, 1979)
Laboratory “Exhibits” in Behavioural Economics
Designing Lab Experiments for Strong Inference
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Autonomous Student Learning | 200 |
Total | 224 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Group Project: Design, implement, and analyse a lab/survey experiment and write a report | Throughout the Trimester | n/a | Alternative linear conversion grade scale 40% | No | 50 |
Class Test: 2 hour end of trimester exam | Coursework (End of Trimester) | n/a | Alternative linear conversion grade scale 40% | No | 50 |
Resit In | Terminal Exam |
---|---|
Spring | No |
• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
Not yet recorded.
Name | Role |
---|---|
Dr Vessela Daskalova | Lecturer / Co-Lecturer |