Household Crowding Measures: A Comparison and External Test of Validity

Eilya Torshizian and Arthur Grimes

Journal of Happiness Studies, 2021, vol. 22, issue 4, No 19, 1925-1951

Abstract: Abstract Analysts may have multiple measures of household crowding, and so need to know which measure to emphasise. We analyse the relationships between alternative subjective and objective crowding measures and assess how well these alternative measures predict a measure of residential satisfaction. Statistically, a perceived crowding (PC) measure outperforms the people per bedroom (PPBR) measure, an objective measure of crowding. However, there may be bias in the relationship between PC and the residential satisfaction variable. Amongst objective measures, the Canadian National Occupancy Standard also outperforms PPBR. Nevertheless, all three measures are highly correlated and each helps to predict levels of residential satisfaction. Thus, any of the three measures provides a valid indicator of household crowding when assessing housing stress.

Keywords: Cross-sectional models; General welfare; Well-being; General regional economics; Economic sociology; Cross-Sectional Models (C21); General Welfare; Well-being (I31); General Regional Economics (R12); Economic Sociology (Z13) (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10902-020-00302-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:jhappi:v:22:y:2021:i:4:d:10.1007_s10902-020-00302-z

Ordering information: This journal article can be ordered from
http://www.springer. ... fe/journal/10902/PS2

DOI: 10.1007/s10902-020-00302-z

Access Statistics for this article

Journal of Happiness Studies is currently edited by Antonella Delle Fave

More articles in Journal of Happiness Studies from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().