Tied Down Or Room To Move? Investigating The Relationships Between Housing Tenure, Employment Status And Residential Mobility In Britain

2002 ◽  
Vol 49 (4) ◽  
pp. 369-392 ◽  
Author(s):  
Rene Boheim ◽  
Mark P. Taylor
Keyword(s):  
Residential Mobility ◽  
Employment Status ◽  
Housing Tenure

scholarly journals Paid employment and common mental disorders in 50–64-year olds: analysis of three cross-sectional nationally representative survey samples in 1993, 2000 and 2007

2017 ◽  
Vol 28 (1) ◽  
pp. 88-99
Author(s):  
G. Perera ◽  
G. Di Gessa ◽  
L. M. Corna ◽  
K. Glaser ◽  
R. Stewart
Keyword(s):  
Mental Health ◽  
Employment Status ◽  
Common Mental Disorders ◽  
Common Mental Disorder ◽  
Psychiatric Morbidity ◽  
Housing Tenure ◽  
Cross Sectional ◽  
Paid Employment ◽  
Nationally Representative ◽  
Over Time

Aims.Associations between employment status and mental health are well recognised, but evidence is sparse on the relationship between paid employment and mental health in the years running up to statutory retirement ages using robust mental health measures. In addition, there has been no investigation into the stability over time in this relationship: an important consideration if survey findings are used to inform future policy. The aim of this study is to investigate the association between employment status and common mental disorder (CMD) in 50–64-year old residents in England and its stability over time, taking advantage of three national mental health surveys carried out over a 14-year period.Methods.Data were analysed from the British National Surveys of Psychiatric Morbidity of 1993, 2000 and 2007. Paid employment status was the primary exposure of interest and CMD the primary outcome – both ascertained identically in all three surveys (CMD from the revised Clinical Interview Schedule). Multivariable logistic regression models were used.Results.The prevalence of CMD was higher in people not in paid employment across all survey years; however, this association was only present for non-employment related to poor health as an outcome and was not apparent in those citing other reasons for non-employment. Odds ratios for the association between non-employment due to ill health and CMD were 3.05 in 1993, 3.56 in 2000, and 2.80 in 2007, after adjustment for age, gender, marital status, education, social class, housing tenure, financial difficulties, smoking status, recent physical health consultation and activities of daily living impairment.Conclusions.The prevalence of CMD was higher in people not in paid employment for health reasons, but was not associated with non-employment for other reasons. Associations had been relatively stable in strength from 1993 to 2007 in those three cross-sectional nationally representative samples.

scholarly journals Independent Associations Between Different Measures of Socioeconomic Position and Smoking Status: A Cross-Sectional Study of Adults in England

2020 ◽  
Author(s):  
Emma Beard ◽  
Jamie Brown ◽  
Sarah E Jackson ◽  
Robert West ◽  
Loren Kock ◽  
...  
Keyword(s):  
Socioeconomic Position ◽  
Ridge Regression ◽  
Employment Status ◽  
Predictive Power ◽  
Independent Predictor ◽  
Smoking Status ◽  
Cross Sectional Study ◽  
Housing Tenure ◽  
Car Ownership ◽  
Cross Sectional

Abstract Introduction To gain a better understanding of the complex and independent associations between different measures of socioeconomic position (SEP) and smoking in England. Aims and Methods Between March 2013 and January 2019 data were collected from 120 496 adults aged 16+ in England taking part in the Smoking Toolkit Study. Of these, 18.04% (n = 21 720) were current smokers. Six indicators of SEP were measured: social grade, employment status, educational qualifications, home and car ownership and income. Models were constructed using ridge regression to assess the contribution of each measure of SEP, taking account of high collinearity. Results The strongest predictor of smoking status was housing tenure. Those who did not own their own home had twice the odds of smoking compared with homeowners (odds ratio [OR] = 2.01). Social grade, educational qualification, and income were also good predictors. Those in social grades C1 (OR = 1.04), C2 (OR = 1.29), D (OR = 1.39), and E (OR = 1.78) had higher odds of smoking than those in social grade AB. Similarly, those with A-level/equivalent (OR = 1.15), GCSE/vocational (OR = 1.48), other/still studying (OR = 1.12), and no post-16 qualifications (OR = 1.48) had higher odds of smoking than those with university qualifications, as did those who earned in the lowest (OR = 1.23), third (OR = 1.18), and second quartiles (OR = 1.06) compared with those earning in the highest. Associations between smoking and employment (OR = 1.03) and car ownership (OR = 1.05) were much smaller. Conclusions Of a variety of socioeconomic measures, housing tenure appears to be the strongest independent predictor of smoking in England, followed by social grade, educational qualifications, and income. Employment status and car ownership have the lowest predictive power. Implications This study used ridge regression, a technique which takes into account high collinearity between variables, to gain a better understanding of the independent associations between different measures of SEP and smoking in England. The findings provide guidance as to which SEP measures one could use when trying to identifying individuals most at risk from smoking, with housing tenure identified as the strongest independent predictor.

scholarly journals ¿Incide la forma de tenencia de la vivienda habitual sobre la situación de empleo en España?

2020 ◽  
Vol 30 (2) ◽  
pp. 751
Author(s):  
José E. Rodríguez Hernández ◽  
Javier A. Barrios García
Keyword(s):  
Empirical Evidence ◽  
Employment Status ◽  
Causal Effect ◽  
Household Head ◽  
Housing Tenure ◽  
Tenure Choice ◽  
Micro Data ◽  
Probit Models ◽  
Housing Tenure Choice ◽  
The One

The objective of this study is to provide more empirical evidence on the possible existence in Spain of causal relationships between housing tenure choice (ownership/rental) and the employment status of household head (employed/unemployed), separating this effect from the one generated by other covariates and unobservables which  might affect, as well as from the reverse causal effect that might exist. With this aim, based on micro data from the Survey of Living Conditions for 2010 and the approach of the literature of treatment effects, we estimate switching probit models that relate these variables at the microeconomic level. The results obtained allow us to assert that owning the main residence, whether it is mortgaged or not, increases the probability of employment around 10%.

Changes in residential satisfaction after home relocation: A longitudinal study in Beijing, China

Urban Studies ◽  
2019 ◽  
Vol 57 (3) ◽  
pp. 583-601 ◽  
Author(s):  
Fenglong Wang ◽  
Donggen Wang
Keyword(s):  
Residential Mobility ◽  
Structural Equation ◽  
Equation Model ◽  
Housing Tenure ◽  
Residential Satisfaction ◽  
Sample Survey ◽  
Housing Conditions ◽  
Neighbourhood Environment ◽  
Multi Level ◽  
Beijing China

The literature on residential mobility pays little attention to the outcomes of residential relocation and their determinants. This study aims to address this shortfall by examining the link between home relocation and change in residential satisfaction based on data from a two-wave sample survey in Beijing, China. The data is collected through interviews with a sample of 537 participants who planned to move and eventually did move in Beijing. A multi-level structural equation model is developed to analyse the determinants of change in residential satisfaction after home relocation. The results show that people generally become more satisfied with their residence after relocation. The major determinants of residential satisfaction changes are adjustments in housing conditions (including housing tenure and dwelling space) and neighbourhood environment (including physical design, absence of nuisance, social interaction and accessibility to various facilities). The findings of this research not only enrich the literature on residential satisfaction and residential mobility, but may also help to improve urban planning and public housing policies.

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