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Postponed — AES Seminar: Using Big Data and Data Linkage in Evaluation

This event has been postponed until further notice. Thisis a free seminar organised by the VIC Regional Network Committee of the AES.

15th April, 2020
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Seminar overview

In recent years, the use of “big data” and data linkage has become much more commonplace in research, including policy evaluations, than it used to be a few decades ago. There are several reasons for this, including computational and other technical reasons. However, in this presentation, the focus will be on the advantages that big data and data linkages bring with regard to the quality of policy evaluation, and on the settings in which the use of big data and data linkages will be most useful. These advantages and settings will be illustrated using examples from policy evaluations for Australia and the Netherlands, where a range of different data sources have been used, including administrative (or big) data on its own and linked with other sources, data collected especially for the evaluation, and regular surveys. The presentation will also explore some of the potential disadvantages and hurdles when using big data.

Presenter's background

Guyonne Kalb is a Professorial Fellow in the Melbourne Institute: Applied Economic & Social Research at the University of Melbourne. She has a PhD in Econometrics from Monash University. Guyonne is a Chief Investigator in the ARC Centre of Excellence for Children and Families over the Life Course, a Research Fellow at the Institute of Labor Economics (IZA) and associate editor for Fiscal Studies and The Economic Record. In addition, she has been involved in several research projects providing evidence for policy makers, including several evaluation studies, such as the evaluation of the Paid Parental Leave scheme. She is currently leading the evaluation of the Future Directions policy, a large social housing policy reform in New South Wales, for the NSW Department of Communities and Justice, and she is involved in the evaluation of the Try, Test and Learn Fund for the Department of Social Services.