In this course you will discuss a range of analytical techniques that can be used to answer key policy questions. You will learn how to measure the impact of policy and whether or not a particular policy improves individual lives. The focus of the course will be on the assumptions, purpose and limitations of the techniques, rather than formulae and equations.
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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 aim of this course is to introduce and discuss a range of analytical techniques that can be used to answer key policy questions. The course will familiarise participants with techniques that help us target scarce resources, analyse the relationship between variables, use longitudinal data to understand change through time, and identify attitudes, abilities and biases. The focus of the course will be on the assumptions, purpose and limitations of the techniques, rather than formulae and equations.
One of the key policy questions that will be a focus of the course is whether or not a particular policy or program improves individual lives. This is a fundamental question that has relevance across many policy domains including social policy, economic policy, health, education, development assistance and many more. Such causal questions are surprisingly difficult to answer. This course will outline the main problem of causality in policy analysis – how to deal with selection. It will then address some of the main techniques used to control unobserved heterogeneity, with a focus on their uses and limitations. The course will be highly applied and use examples from a range of policy domains to show how we can measure impact.
The introductory course (Decision-making: using statistics) is not a formal pre-requisite to attend this course, but is recommended for those who have limited experience in quantitative analysis.
Dr Hoa Nguyen
Hoa Nguyen is a Research Fellow at the Crawford School of Public Policy. She is interested in analyzing economic policies in health and food security, and issues related to climate change, inequality and poverty. Her research has been published in the world’s leading international journals, including Political Analysis, Journal of Agricultural Economics, Land Economics, Ecological Economics, Economic Modelling and World Development. Hoa teach Econometric Techniques and Mathematical Methods in Applied Economics at the graduate diploma and postgraduate levels.