Wellbeing at the Edges of Ownership: The Impacts of Housing Tenure, Social Capital, and Institutions

This paper presents a three-country analysis of the relationship between housing, indicators of social capital, and life satisfaction (a proxy for wellbeing) using cross-sectional data from national surveys in Australia, the UK and the US. Addressing a key policy debate we construct, for each jurisdiction, models of life satisfaction as a function of housing and social capital, with a view to better targeting policy interventions to achieve wellbeing outcomes. First, we show that the wellbeing premium associated with homeownership remains resilient despite housing market instability early in the 21st century. Second, we find that while social capital is an important independent positive influence on life satisfaction, its effect is weaker than that of housing tenure. Third, we include two measures of housing risk (repayment risk and investment risk). These position mortgagors on a continuum across the edges of owner-occupation, placing them closer to, or further from, the ‘ideal’ of outright ownership. The impact of these measures varies across the three countries, raising questions about the way life satisfaction at the edges of ownership may be shaped by institutional forces.

Authors

Institutions

Publication Details

Journal
International Regional Science Review
Published
2024-10-26
DOI
https://doi.org/10.1177/01600176241291140
Citations
1
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
1.13

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wellbeing at the Edges of Ownership: The Impacts of Housing Tenure, Social Capital, and Institutions

Gavin Wood, William Lisowski, Rachel Ong, William A. V. Clark et al.
1 citations
International Regional Science Review
Housing Market and Economics
1.13
article

Wellbeing at the Edges of Ownership: The Impacts of Housing Tenure, Social Capital, and Institutions

Gavin Wood, William Lisowski, Rachel Ong, William A. V. Clark, Susan J. Smith, N.T. Khuong Truong
article en
1 citations

Abstract

This paper presents a three-country analysis of the relationship between housing, indicators of social capital, and life satisfaction (a proxy for wellbeing) using cross-sectional data from national surveys in Australia, the UK and the US. Addressing a key policy debate we construct, for each jurisdiction, models of life satisfaction as a function of housing and social capital, with a view to better targeting policy interventions to achieve wellbeing outcomes. First, we show that the wellbeing premium associated with homeownership remains resilient despite housing market instability early in the 21st century. Second, we find that while social capital is an important independent positive influence on life satisfaction, its effect is weaker than that of housing tenure. Third, we include two measures of housing risk (repayment risk and investment risk). These position mortgagors on a continuum across the edges of owner-occupation, placing them closer to, or further from, the ‘ideal’ of outright ownership. The impact of these measures varies across the three countries, raising questions about the way life satisfaction at the edges of ownership may be shaped by institutional forces.

International Regional Science ReviewVol. 48(4)
Curtin University (AU), University of Cambridge (GB), University of California System (US), MIT University (MK), Bridge University (SS), Film Independent (US), RMIT University (AU)
Australian Research Council
Openalex Percentile: Top 11%
Housing Market and Economics
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.