Nobody disputes the importance of evidence based policy, but the reality is that it is hard to do well. One of the main reasons for this is the notorious difficulty in testing causal assumptions underpinning policy. Research employing the “gold-standard” for testing causal processes - randomised control trials – is often beset with ethical, financial and logistical problems. In the face of these challenges, policy-makers often resort to descriptive and exploratory research, providing a relatively weak test of policy assumptions. This talk will discuss how Australia’s longitudinal datasets can often provide a robust and feasible alternative to these approaches. Recent examples of how HILDA and LSAC data is being used to test policy ideas will be discussed.
Dr Judy Schneider, Branch Manager, Research and Analysis Branch at the Department of Families, Housing, Community Service and Indigenous Affairs.
Video Presentation (streaming) | Judy Schneider PowerPoint
Return to National Statistical Seminar Series.