Case Study: Analysing Housing Affordability
February 28th, 2017 by Jack
Outline of the Research
Housing affordability in Australia has become a critical concern for young would-be homeowners and policy-makers alike. It has been the focus of a large body of research in Australia, and as house prices increase rapidly, has increasingly become a contentious political concern. Yet, despite the rhetoric emerging from various groups around housing affordability, little in the way of a coherent policy agenda to address housing affordability has emerged. Professor Chris Pettit and his colleagues at the City Futures Research Centre (CFRC) recently undertook a comprehensive analysis of housing affordability, powered by the AURIN portal. The authors used multiple datasets to unpack housing affordability in Sydney in a way that illustrated both the spatial and temporal variations, for both the rental and ownership housing tenure types. As part of their research outcomes, they were able to take a city wide metric (the oft-used Demografia Affordability Index), and “localise” it, providing a more fine-grained picture of how housing affordability may vary across the city. This showed that the least affordable houses were located in the Eastern suburbs of Sydney, with affordability increasing further towards the West. However, they also showed that the western suburbs had the highest rent to income ratios, indicating that households in those areas may be experiencing significant levels of rental stress. Overall, Prof. Pettit and his co-authors illustrated that housing affordability is complex and multi-faceted, especially when considering how it may vary across a city, over time, and across different housing markets.
How AURIN was used
Prof. Pettit and his colleagues used the AURIN portal for much of their research. Crucially, they were able to draw on a wide variety of high quality, finely resolved datasets available through the portal at the time of their research to provide a nuanced picture of the housing affordability issue in Sydney. Central to their analyses were the Australian Property Monitor (APM) individual house sale records, ABS census data, and NSW Rental Bond Board Data. The AURIN portal was uniquely placed to bring these authoritative datasets from multiple data providers together in a securitised framework, allowing a detailed understanding of the multiple dimensions of housing affordability that can only arise from the integration of multiple sources of information. In addition to acting as a provider of these datasets, the AURIN Portal’s analytical tool kit was used extensively in this research. The authors were able to undertake basic exploratory analytics, including scatterplots and mapping of data (as shown below), as well as more complex spatial-statistical routines such as Getis-Ord G* clustering algorithms. Importantly, because the AURIN acts as an open, interoperable system, the authors were able to download and manipulate data in complementary software platforms, before uploading their new datasets again and continuing on with their analyses. The AURIN portal’s ability to act within an eResearch ecosystem is central to allowing this kind of integrated, open research.
Impact of research
Prof. Pettit and his colleagues were able to shed new light on Sydney’s housing affordability issue. They were able to illustrate that research into housing affordability must take into account spatial and temporal variation, and should consider different housing markets. At present, conversations around housing affordability tend to focus on ‘whole of city’ measures, whereas important insights can be gleaned from undertaking comprehensive ‘intra-city’ data analyses. The authors clearly highlight why high quality and robust data, coupled with rigorous empirical analysis, is crucial to providing insights into housing affordability. They further illustrate that it is not the existence of this data that is the issue for academic researchers, but rather the access to it which provides the greatest barrier. The ability of AURIN to provide a ‘one stop shop’ for a range of authoritative datasets, directly from the data provider is a clear emergent trend within this research. Most importantly, the authors highlight the need for industry groups to partner with AURIN to provide these datasets to the research community, especially given the funding constraints of most academic researchers, and the clear inability of a thriving and productive spatial research community to front the commercial costs of data Pettit, C., Tice, A., & Randolph, B. (2017). Using an online spatial analytics workbench for understanding housing affordability in Sydney. In Seeing Cities Through Big Data (pp. 233-255). Springer International Publishing. doi: 10.1007/978-3-319-40902-3_14