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Who should attend
- This course is suitable for APS 5 / 6 and EL 1 / 2 level (or equivalent).
- No prior experience/knowledge required.
- The course will involve basic mathematical and statistical concepts that will be explained as part of the course. The course is suitable for beginners and as a refresher for those with a basic statistics background.
About the course
This course will provide an introduction to the methods used in behavioural economics. After an introduction to the basic concept of an experimental approach and why it may be needed to enable government and researchers to evaluate policy interventions, this course will explain the foundations of causal analysis, discuss important statistical concepts relevant for design and implementation of randomised controlled trials. Laboratory experiments, basic statistical methods needed to analyse trial data and provide examples and applications will also be examined. Special emphasis will be put on the ingredients that are needed to run an effective and informative randomised controlled trial
The course will provide participants with the knowledge they require to understand general concepts of behavioural economics and to apply basic statistical tools to trial design, implementation and data analysis. The course will combine intuitive explanations with practical examples. It will involve basic mathematical and statistical concepts that will be explained as part of the course. The course is suitable for beginners and as a refresher for those with a basic statistics background.
The workshop will cover six main topics:
- General concepts of behavioural economics
- Statistical concepts
- Basic econometric tools
- How to develop a randomised controlled trial
- Natural, laboratory and field experiments: evaluation methods of behavioural economics
- Randomisation and methodological issues
- Data analysis: examples and applications
- Lab experiments: examples and applications
The first day of this course will give an introduction to some general concepts of behavioural economics, provide an overview of important statistical concepts and discuss practical challenges related to trial design and implementation. The second day will provide an introduction to important econometric tools required to analyse experimental and non-experimental data and discuss examples and applications.
- Ability to identify policy problems that lend themselves to behavioural economic interventions.
- Sound ability to develop interventions and an evaluation strategy.
- Sound understanding of quantitative methods used to evaluate the effectiveness of behavioural economic interventions.
- Awareness of empirical, ethical and political limitations of the approach.
Anticipated behavioural and business impacts include:
- A better understanding of behavioural economics, including the need to randomise, the challenges associated with trial design and implementation.
- A better understanding of basic statistical and econometric concepts relevant for the analysis of trial data.
- A better understanding of alternative approaches that may be used to study human behavior or evaluate public policies (including natural and laboratory experiments).
Uwe Dulleck is a Professor in Applied Economics at QUT Business School, Economics and Finance and an Honorary Professor at the Australian National University. Prior to joining QUT, Uwe was a Professor of Economics at the University of Linz, Austria and an Assistant Professor at the University of ...
Ho Fai Chan is a Postdoctoral Research Fellow in the School of Economics and Finance at QUT Business School and Centre for Behavioural Economics, Society and Technology (BEST). His main research lies in the areas of Science of Science (SciSci) and Scientometrics which aim to provide better unders...
Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
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