EconPapers    
Economics at your fingertips  
 

Making Housing Assistance More Efficient: A Risk Management Approach

Jon Hall and Mike Berry
Additional contact information
Jon Hall: AHURI-RMIT/NATSEM Research Centre, RMIT University, GPO Box 2476V, Melbourne, Victoria 3001, Australia, jhall@mail.usyd.edu.au
Mike Berry: AHURI-RMIT/NATSEM Research Centre, RMIT University, GPO Box 2476V, Melbourne, Victoria 3001, Australia, mike.berry@rmit.edu.au

Urban Studies, 2006, vol. 43, issue 9, 1581-1604

Abstract: 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.

Date: 2006
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://usj.sagepub.com/content/43/9/1581.abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

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 ().

 
Page updated 2019-10-14
Handle: RePEc:sae:urbstu:v:43:y:2006:i:9:p:1581-1604