Making Housing Assistance More Efficient: A Risk Management Approach
Jon Hall and
Additional contact information
Jon Hall: AHURI-RMIT/NATSEM Research Centre, RMIT University, GPO Box 2476V, Melbourne, Victoria 3001, Australia, firstname.lastname@example.org
Mike Berry: AHURI-RMIT/NATSEM Research Centre, RMIT University, GPO Box 2476V, Melbourne, Victoria 3001, Australia, email@example.com
Urban Studies, 2006, vol. 43, issue 9, 1581-1604
Housing affordability has declined in a number of countries over the past 20 years. Governments are under increasing pressure to maximise the reach and effectiveness of housing assistance policies to deal with the resulting problems of increasing housing stress. This paper presents a model, based on Monte Carlo simulation, that estimates the expected subsidy costs required for a range of housing assistance policy approaches, assuming that an affordability benchmark is met. The required subsidies reflect and vary with the systematic risk factors characterising different regional housing markets, suggesting that significant subsidy cost savings can be gained by tailoring particular policy mixes to each market. The model is applied to Australia's eight state capital cities.
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:sae:urbstu:v:43:y:2006:i:9:p:1581-1604
Access Statistics for this article
More articles in Urban Studies from Urban Studies Journal Limited
Bibliographic data for series maintained by SAGE Publications ().