Family background and young adults’ housing outcomes, 1971-2011 Rory Coulter Housing Studies Association conference, University of York,

Slides:



Advertisements
Similar presentations
Attrition in the LS: issues, results, and conclusions Lucinda Platt University of Essex.
Advertisements

Following lives from birth and through the adult years GeNet Gender Equality Symposium Erzsébet Bukodi Institute of Education, University.
Gender and healthy ageing in Britain Emily Grundy, LSHTM, UK. GeNET Seminar October 2005.
Transitions from independent to supported environments in England and Wales: examining trends and differentials using the ONS Longitudinal Study Emily.
Comparing Results from the England and Wales, Scotland and Northern Ireland Longitudinal Studies: Health and Mortality as a case study Census Microdata.
Is there a Scottish effect for self-reported health? Frank Popham, University of Edinburgh 12th November 2007 Talk based on paper published in BMC Public.
Household and family resources Emily Grundy, LSHTM.
Fertility history and health in later life: A study among older women and men in the British Household Panel Survey Sanna Read and Emily Grundy Centre.
A comparison of the characteristics of childless women and mothers in the ONS Longitudinal Study Simon Whitworth Martina Portanti Office for National Statistics.
Life expectancy by NS-SEC Structure, technical and conceptual issues and results BSPS 8 Sept 2011 Brian Johnson ONS Health & Life Events Division Newport.
Informal care in the PSSRU model n Terminology: ‘informal’ or ‘unpaid’ care n Inputs n age, gender, disability, marital status, household type, housing.
Informal care in PSSRU model n Inputs n age, gender, disability, marital status, household type, housing tenure n Outputs n numbers of older people with.
Integration in London Eric Kaufmann Birkbeck College, University of London
Upward and onward A study of Scots out-migration from a global city from a global city Allan Findlay, Donald Houston, Colin Mason, David McCollum and Richard.
Latino fathers’ childbearing intentions: The view from mother-proxy vs. father self-reports Lina Guzman, Jennifer Manlove, & Kerry Franzetta.
Young People’s emotional well-being: The impact of parental employment patterns Dr Linda Cusworth Social Policy Research Unit, University of York International.
Understanding Population Trends and Processes: Links between internal migration, commuting and within household relationships Oliver Duke-Williams School.
Are Gender Differences Emerging in the Retirement Patterns of the Early Boomers? Kevin E. Cahill Michael D. Giandrea Joseph F. Quinn June 30, th.
Sample of Anonymised Records: User Meeting Propensity to migrate by ethnic group: 1991 & 2001 Paul Norman 1, John Stillwell 2 & Serena Hussain 2 School.
Quantitative methods for researching lives through time Heather Laurie Institute for Social and Economic Research University of Essex
Copyright 2006 – Biz/ed Inequality.
The ONS Longitudinal Study. © London School of Hygiene and Tropical Medicine The Office for National Statistics Longitudinal Study (LS) o What is it o.
Socioeconomic inequalities in mortality: Men aged (4) Chris White Principal Research Officer Office for National Statistics LS Clearance 20105D.
Linking lives through time Marital Status, Health and Mortality: The Role of Living Arrangement Paul Boyle, Peteke Feijten and Gillian Raab.
'White Flight' in England and Wales? Examining Ward-Level Mobility Decisions in a Longitudinal Sample, Eric Kaufmann and Gareth Harris, Birkbeck.
Secondary Data Analysis Using the Census Stephen Drinkwater WISERD School of Business and Economics Swansea University.
White Flight from London? Eric Kaufmann and Gareth Harris, Birkbeck College, University of London
SITUATION ANALYSIS AND IDENTIFICATION OF NEEDS IN THE AREA OF FAMILY POLICY IN SLOVENIA Ružica Boškić Child Observatory Social protection Institute of.
Health inequalities in later life: material or psychosocial pathways Anne McMunn & James Nazroo UCL
Research Methods Festival Oxford, 2 nd July Longitudinal perspectives on the UK’s minority ethnic groups Lucinda Platt ISER, University of Essex.
Measuring population development from social cohesion perspective by women and men according to the Census data Urve Kask Statistics Estonia.
Gender Statistics & Human Rights Reporting Regional Workshop 4-8, 2014 Tonga 1.
Cristina Iannelli Centre for Educational Sociology Edinburgh University Scotland in a national and international.
Cristina Iannelli Moray House School of Education Edinburgh University Education and Social Mobility : Scottish Evidence.
MEASURING INCOME AND POVERTY AT A NATIONAL LEVEL Sian Rasdale Social Justice Analysis, Scottish Government.
Using the Health Survey for England to examine ethnic differences in obesity, diet and physical activity Vanessa Higgins & Angela Dale Centre for Census.
Linking lives through time Living alone and mental health: a longitudinal study Zhiqiang Feng, Peteke Feijten, Paul Boyle Longitudinal Studies.
Micro-level modelling to identify the separate effects of migrant status and other personal characteristics on people’s job-status change Tony Champion,
Intergenerational Social Mobility in the UK
Living arrangements, health and well-being: A European Perspective UPTAP Meeting 21 st March 2007 Harriet Young and Emily Grundy London School of Hygiene.
Centre for Housing Research, University of St Andrews Untangling the mix – a longitudinal investigation into tenure mix and employment outcomes in Scotland.
Period changes in men’s class reproduction in Scotland, Cristina Iannelli University of Edinburgh.
Census.ac.uk The UK Census Longitudinal Studies Chris Dibben, University of St Andrews.
Living arrangements, health and well-being: A European Perspective UPTAP Inaugural Conference March 2006 Harriet Young and Emily Grundy London School.
Centre for Housing Research, University of St Andrews The Effect of Neighbourhood Housing Tenure Mix on Labour Market Outcomes: A Longitudinal Perspective.
Validating ESeC: Class of Origin and Educational Inequalities in Contemporary Italy Bled, July 2006 Antonio Schizzerotto, Roberta Barone and Laura.
1 Using the Cohort Studies: Understanding the postponement of parenthood to later ages Ann Berrington ESRC Centre for Population Change University of Southampton,
Modeling and Forecasting Household and Person Level Control Input Data for Advance Travel Demand Modeling Presentation at 14 th TRB Planning Applications.
Out-migration of Young Adults and Living Arrangements of the Elderly in Rural China: The Case of Chaohu Merril Silverstein Andrus Gerontology Center University.
Living arrangements, health and well-being: A European Perspective UPTAP-ONS Meeting Southampton University 19 th December 2007 Harriet Young and Emily.
Modelling needs and resources of older people to 2030 LSHTM contribution and plans Resources: 15% of EG throughout (focussed some time periods) c. 12 months.
Creating Open Data whilst maintaining confidentiality Philip Lowthian, Caroline Tudor Office for National Statistics 1.
Mismatches and matches in address information from the Census and the BSO: A longitudinal perspective Ian Shuttleworth and Brian Foley, Queen’s.
Insert name of presentation on Master Slide A Secondary Analysis of the Cross-Sectional Data Available in the ‘Welsh Health Survey for Children’ to Identify.
Pathways to the Professions Opening the door to careers in Law, Medicine, Veterinary Medicine and Architecture 10 th Birthday Thursday February 3 rd 2011.
WHO BUYS? HOMEOWNERSHIP TRAJECTORIES FOR CANADIAN IMMIGRANTS BARRY EDMONSTON
Samples of Anonymised Records from the U.K. Census 1991 and 2001 Integrating Census Microdata Workshop Barcelona th July 2005 Dr. Ed Fieldhouse Cathie.
Social disparities in private renting amongst young families in England and Wales, Rory Coulter Housing, Wealth and Welfare.
Parental background and young adults’ housing outcomes in England and Wales, Rory Coulter SLLS Annual Conference, Dublin, 19/10/2015.
Investigating parental socioeconomic position, in utero growth and risk of child development disorders using linked administrative data Dr Chris Playford.
Official Opening Monday 29 February 2016 Investigating educational and developmental outcomes using linked administrative data Dr Chris Playford.
Parental background and young adults’ housing outcomes
University of St Andrews, 18th May 2017
Housing Studies Association Annual Conference, York, 7th April 2017
Measuring Internal Migration: Comparing Census and Administrative Data
Dr Chris Playford @playford_chris Data Linkage Scotland Showcase 2016
Sait Bayrakdar, Philipp Lersch, Sergi Vidal & Rory Coulter
Rory Coulter Social disparities in private renting amongst young families in England and Wales, Rory Coulter
Parental background and young adults’ homeownership,
Presentation transcript:

Family background and young adults’ housing outcomes, Rory Coulter Housing Studies Association conference, University of York, 09/04/15

Background I 1.Changing tenure patterns (households) Source: Survey of English Housing, English Housing Survey

Background II 1.Changing tenure patterns (households) 2.Delayed and increasingly assisted home-ownership transitions (individuals) 3.New patterns of living arrangements Boomerang children, parental safety nets, doubling up or sharing 4.Stability of ownership preferences

Background III Key debate concerns impact on inequality Fears that strengthening intergenerational continuities pose a threat to social mobility Two dimensions important for assessing this… 1.How absolute chances of particular housing outcomes/pathways vary by cohort & background 2.How relative chances of particular housing outcomes/pathways vary by cohort & background

Data Office for National Statistics Longitudinal Study (ONS LS), Linked census records for 1% sample of the English and Welsh population, refreshed at each census Pros: (1) sample size, (2) timeframe covered, (3) good linkage rates Cons: (1) decennial observations, (2) linkage rates lower for young adults

Sample Children aged at censuses who are: Resident in a private household with 1 or 2 parents Linked at the t+1 and t+2 census CohortBornTrackedN cases 1. Baby Boomers , 1981, Sixties Children , 1991, Generation X , 2001, Thatcher’s Children* ,

Dependent variable Derived from comparing tenure and living arrangements (relationship to HOH/HRP) TenureLiving arrangements Self/partner HOH/HRP Child of HOH/HRP Other relation to HOH/HRP OwnerIndependent ownerNot independent: Lives with parent Not independent: Other Social tenantIndependent s.tenant Private tenantIndependent p.tenant

Results (1): Outcome trends (men) Source: ONS LS (own calculations)

Results (1): Outcome trends (women) Source: ONS LS (own calculations)

Results (2): Parental class Source: ONS LS (own calculations) % parents with routine NS-SEC BB (‘71)49.36 SC (‘81)32.88 GX (‘91)29.93

Results (2): Parental tenure (SRS) Source: ONS LS (own calculations) % parents in SRS BB (‘71)40.99 SC (‘81)30.24 GX (‘91)17.53

Results (3): Logistic regression models Source: ONS LS (own calculations) N cases12378 McF’s r Extra controls included for region and inter-censal migration (not shown)

Results (3): Logistic regression models Source: ONS LS (own calculations) N cases32059 McF’s r Extra controls included for region and inter-censal migration (not shown)

(Tentative) conclusions 1.Individual level longitudinal analysis is crucial – Both tenure and living arrangements matter for understanding housing trajectories 2.Absolute odds of housing outcomes vary by gender and have changed considerably over time – Increase in shared living a key trend – Patterns matter for cohort wealth imbalances 3.Relative odds of housing outcomes vary by family background and cohort

Acknowledgements This research is supported by an Economic and Social Research Council Future Research Leaders award [ES/L /1]. Additional financial support has been provided by the Isaac Newton Trust. The permission of the Office for National Statistics to use the Longitudinal Study is gratefully acknowledged, as is the help provided by staff of the Centre for Longitudinal Study Information & User Support (CeLSIUS). CeLSIUS is supported by the ESRC Census of Population Programme under project ES/K000365/1. I bear sole responsibility for all analyses and interpretations of the data. Census output is Crown copyright and is reproduced with the permission of the Controller of HMSO and the Queen's Printer for Scotland.

The derivation of 1971 and 1981 NS-SEC & Goldthorpe classes is provided in Bukodi and Neuburger (2009) “Data Note. Job and occupational histories for the NSHD 1946 Birth Cohort” as part of the ESRC Gender Network Grant, Project 1 ‘Changing occupational careers of men and women’, Reference: RES The code was kindly provided by Erzsebet Bukodi and adapted for use in the LS by Franz Buscha and Patrick Sturgis as part of the ESRC grant ‘Inter-cohort Trends in Intergenerational Mobility in England and Wales: income, status, and class (InTIME)’ [ES/K003259/1]. Acknowledgements