Increasing social mobility: an effective policy to reduce health inequalities

Mel Bartley and Ian Plewis

Journal of the Royal Statistical Society Series A, 2007, vol. 170, issue 2, 469-481

Abstract: Summary. Data from the Office for National Statistics Longitudinal Study are used to investigate the effect of mobility between occupationally defined social classes between 1991 and 2001 on health inequality in men and women. Logistic regression models related movement into more or less advantaged employment conditions to limiting long‐term illness in 2001, controlling for social class in 1991 and 2001. When class in 1991 was controlled (‘class of origin’) those who moved into more advantaged social classes were least likely and those moving into less advantaged classes most likely to report a limiting illness. However, when social class in 2001 (‘class of destination’) was controlled, those moving from less to more advantaged positions were most likely to report limiting illness. The same patterns were seen in women. This means that social mobility did not increase the extent of health inequality over the time period that was observed, but rather served to constrain or dilute it. The results are interpreted in terms of an accumulation model of health inequality, and the policy implications are discussed.

Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
https://doi.org/10.1111/j.1467-985X.2006.00464.x

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:bla:jorssa:v:170:y:2007:i:2:p:469-481

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-985X

Access Statistics for this article

Journal of the Royal Statistical Society Series A is currently edited by A. Chevalier and L. Sharples

More articles in Journal of the Royal Statistical Society Series A from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().