This two-day 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 the design and implementation of randomised controlled trials as well as laboratory experiments, explain basic statistical methods needed to analyse trial data and provide examples and applications. Special emphasis will be put on the ingredients that are needed to run an effective and informative randomised controlled trial.
$2,500 GST incl; Group discounts applicable
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Important information about your enrolment
All full day subscription courses are $1,350 (GST incl) unless otherwise specified. Maximum class size is 22 participants. Full day courses run from 9.30am - 4.30pm.
Group discounts are available for bulk registrations of 3 or more participants. To receive the group discount, registrations must include full details of all participants attending.
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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 seven main topics:
- General concepts of behavioural economics
- Causal analysis 101: If kangaroos had no tails, they would topple over
- Randomisation and methodological issues
- Natural, Laboratory and Field Experiments – Evaluation Methods of BE
- Data analysis
- Examples and applications
- How to run a randomised controlled trial
The first day of this course will give an introduction to some general concepts of behavioural economics, provide an overview of causal analysis, and discuss methodological issues related to trial design and implementation. The second day will provide an introduction to important statistical and econometric concepts required to analyse trial data, discuss examples and applications and cover the basics required to run a randomised controlled trial.
Professor Uwe Dulleck
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 Vienna. Uwe’s research and education expertise spans behavioral economics; economic experiments using biofeedback data; expert services and credence goods; and information economics. His work in these fields is widely published and includes the American Economic Review; Journal of Economic Literature; Economic Journal; Journal of Public Economics; International Journal of Industrial Organization; and the Scandinavian Journal of Economics. His research has been discussed in the Economic Focus of The Economist, Sydney Morning Herald and the Frankfurter Allgemeine Sonntagszeitung (the Sunday edition of Germany’s leading quality newspaper), among others. Uwe is the recipient of several Australian Research Council Grants is a co-investigator on Austrian Research Grants. In 2015 Uwe was the Chairman of the Program Committee for Australia’s Conference of Economists, the leading and largest conference for research and applied economists in Australia. He is an active public commentator on behavioural economics and its applications to public policy, business decision making and regulation.
Associate Professor Mathias Sinning
Associate Professor Mathias Sinning is an empirical researcher at the ANU Crawford School of Public Policy. He has previously held academic appointments at the ANU and the University of Queensland and has been a Visiting Fellow at Princeton University.
Mathias is interested in the empirical analysis of issues related to labor economics and public economics with a particular focus on treatment effects estimation and policy evaluation. He has published empirical research in a wide range of international peer-reviewed journals, including Economics of Education Review, Economic Inquiry, Health Economics, Industrial and Labor Relations Review, Journal of Banking and Finance, Regional Science and Urban Economics and Review of Income and Wealth.
Mathias has extensive experience in testing hypotheses from behavioral economics by designing and implementing randomized controlled field trials in collaboration with government departments. He is currently working on the projects “Understanding Dynamic Aspects of Economic Inequality” and “Applying Behavioral Insights to the Tax System in Australia” funded by the Australian Research Council.