Social construction of house size expectations: testing the positional good theory and aspiration spiral theory using UK and German panel data
Chris Foye
Housing Studies, 2021, vol. 36, issue 9, 1513-1532
Abstract:
This paper examines the social construction of house size expectations in two national panel datasets: German Socio Economic Panel Study (GSOEP) and the British Household Panel Study (BHPS). More specifically, it tests the aspiration spiral theory and positional good theory using data on housing/life satisfaction and house size judgements. In both countries, it finds substantial evidence that the current space expectations of individuals who have ‘upsized’ depends on the level of living space they experienced in the past year. For downsizers, however, the evidence in support of the aspiration spiral theory is weaker. In terms of the positional good theory, this paper finds no consistent evidence that an individual’s space expectations are influenced by those around them. In both countries, the paper tests for two reference groups – the average level of living space in the region, and the mean size of the largest decile of houses in the region – and neither are found to be significant.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/02673037.2020.1795086 (text/html)
Access to full text is restricted to subscribers.
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:taf:chosxx:v:36:y:2021:i:9:p:1513-1532
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/chos20
DOI: 10.1080/02673037.2020.1795086
Access Statistics for this article
Housing Studies is currently edited by Chris Leishman, Moira Munro, Ray Forrest, Alex Schwartz, Hal Pawson and John Flint
More articles in Housing Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().