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Organisation

Australian Housing and Urban Research Institute

Acronym:
AHURI
Report

The relationship between intergenerational transfers, housing and economic outcomes: final report


Home ownership is valued not just for the housing it provides but also as a means to accumulate wealth over the life-cycle. However, there is evidence that younger generations are making later transitions into home ownership and increased numbers not entering at all—this is not just among low-income earners but also middle-upper income Australians aged...
Briefing paper

How can we improve housing and care for people with dementia?


This project involved secondary analysis of ABS and AIHW data, interviews with housing and community care service provider stakeholders in two sites (South Australia and Tasmania) and interviews with people with dementia and their carers about their housing.
Discussion paper

House prices, mortgage debt and labour supply: evidence from Australian households


This Positioning Paper outlines the research questions and methodology for an AHURI research study which utilises HILDA panel data and instrumental variable econometric techniques to interrogate the relationship between housing prices, household debt and labour supply in Australia. It provides preliminary evidence of important differences in the magnitude and expression of these relationships for partnered...
Report

The opportunity of unlisted wholesale residential property funds in enhancing affordable housing supply


Overview The project involved analysing the potential options for developing a model of an effective property investment vehicle for affordable housing. This involved consideration of strategic positioning, whether the fund is listed or unlisted, whether the fund portfolio involves a mix of assets, and analysing risk and return. The performance of the proposed vehicle was...
Report

Entries and exits from homelessness: a dynamic analysis of the relationship between structural conditions and individual characteristics


The study utilised micro-level longitudinal data from Journeys Home (JH) and housing market data from the 2011 Census to econometrically model the probability of being homeless as well as the probability of entry and exit from homelessness.

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