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Social mobility and education Anna Vignoles Faculty of Education Outline • Social mobility and inequality – some reflections • Socio-economic background and education achievement • Beyond education • Draws on joint work with Claire Crawford, Lindsey Macmillan and Claire Tyler 2 Social mobility and inequality • Large and rising income inequalities globally and within many developed countries • Distribution of wealth is even more unequal • Globally the top 1% own 46% of the wealth • Countries vary in the extent of income inequality (Alvaredo, Facundo, Anthony B. Atkinson, Thomas Piketty and Emmanuel Saez, The World Top Incomes Database, http://topincomes.g-mond.parisschoolofeconomics.eu/, 13/3/15, Alvaredo et al. 2013, Atkinson et al. 2011) 3 Top 1% - proportion of total income UK USA 13 87 18 82 4 Top 1% - proportion of total income Sweden France 7 93 8 92 5 Income inequality is a social and political problem Social mobility is seen as the answer 6 Social mobility and inequality • Social mobility –Intergenerational correlation in income or SES –Parent income – child’s adult income –Parent SES – child’s adult SES 7 Social mobility and inequality • Inequality is less of an issue if everyone has a shot at success? – In the UK 30% of income inequality is passed on through generations according to Blanden et al. (2005) • What would complete social mobility feel like? –No correlation between your own success and your child’s 8 Inequality and social mobility 9 Building a meritocracy • Income inequality linked to education level is more acceptable… more meritocratic • But ...education is not the great leveller that people hoped it would be • Family background continues to be the key determinant of educational achievement 10 Theory • Most theories suggest socio-economic background and education achievement are going to be closely linked • Human capital theory • Bourdieu’s cultural capital 11 SOCIO-ECONOMIC BACKGROUND AND EDUCATION ACHIEVEMENT 12 The gap in HE participation in England at age 18/19 amongst state school students by deprivation quintile group Source: C. Crawford, November 2012, Socio-economic gaps in HE participation: how have they changed over time?, IFS Briefing Notes , BN133 Crawford (2013) The gap is small if look at the top 20% achievers at Key Stage 5 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 4.4ppts 2.4ppts 0% 2004–05 2009–10 Most deprived quintile 2nd quintile Middle quintile 4th quintile Least deprived quintile Difference (least–most) Source: C. Crawford, November 2012, Socio-economic gaps in HE participation: how have they changed over time?, IFS Briefing Notes , BN133 Literature • Inequality in university access largely reflects differences in high school achievement – Cunha et al 2006, Cameron and Heckman 2001, Cardak and Ryan 2009, Chowdry et al. 2012, Ermisch and Del Bono 2012. Not all agree, Boliver 2013 • Expectations and aspirations, family and social norms, and subjective beliefs also matter – Jackson 2013 • Context specific – Belley and Lochner (2007) 15 Socio-economic background and education achievement • Examine academic achievement trajectories by socio-economic background –Early high performers –Prior attainment of those studying at high status universities Data • National pupil database • Census of school children with some personal characteristics and achievement • Cohort born in 1991/1992 • Measures of socio-economic background – Eligibility for Free School Meals – Neighbourhood measures (deprivation of neighbourhood based on IMD) 17 Outcome • High status institution – – Russell Group or institution with RAE score as good as lowest performing RG university 41 research intensive institutions 18 SES gaps in the likelihood of attending a high status institution % of sample 60 37.3 40 38.9 18.2 20 9.7 8.9 2.8 7.4 2.4 0 Sample average Always FSM Not always FSM Most deprived Least deprived Non-select Selective state state second. second. Studying for a degree at an elite university Private second. Evidence • SES gaps remain in the likelihood of going to high status universities for those with similar levels of early prior attainment • Higher achievers at age 7 do not all go on to success and there is a socio-economic gap…. Likelihood of attending high status institution if you have high attainment at age 7 (KS1) % of sample 60 55.6 50 43.1 40 34.7 30 23.5 20.5 20 10 9.3 8.1 0 Always FSM Not always Most FSM deprived Least Non-select Selective deprived state state second. second. Private second. Achievement trajectories A health warning: • When we look forward at students’ education trajectories, regression to the mean (RTM) is a potential problem • High achieving poor students will appear to fall behind partly because of RTM rather than a genuine decline (see Jerrim and Vignoles, 2012) Methodology • Using a different test at age 7 (KS1) to determine the ability groups from the first measurement point • Focusing more on changes after age 11 (KS2) since most of the RTM should occur between the first and second measurement points Defining ‘attainment’ • • • • • Age 7 KS1 – maths, reading and science Age 11 KS2 – English and maths Age 16 KS4 – GCSE point score Age 18 KS5 – A-level or equivalent point score University – RAE ranking of institution attended Evidence • Lower ability but more advantaged children catch up with higher ability but poor children between age 11 and 16 (KS2 and KS4) Age 11 (KS2) to Age 16 (KS4) we see SES gaps widening. Poor able students are falling behind whilst richer low ability students gain more. 100 80 60 40 20 0 Percentile KS1 Percentile KS2 Percentile KS4 Most deprived Low ability Most deprived High ability Least deprived Low ability Least deprived High ability Evidence • • • There is relatively little further widening of the SES gap between age 16 (KS4) and HE participation Gap between children in state and private provision widens Suggests attainment at age 16 (KS4) is a key determinant of HE participation Between age 16 (KS4) and university the trajectories of more and less deprived children are similar 100 80 60 40 20 0 Percentile KS1 Percentile KS2 Percentile KS4 Percentile KS5 Most deprived Average ability Most deprived High ability Least deprived Average ability Least deprived High ability Percentile university Findings • • • Early tests are better predictors of subsequent HE participation for affluent students Richer students have more consistent (high) achievement Poorer students who are high performing at age 7 are more likely to fall off the high attainment trajectory Who goes to a high status university? • Very few children from deprived families attend elite universities – – • 0.3% of children (921) who always claimed FSM 2.7% of children (2569) who ever claimed FSM This is largely explained by low prior attainment Evidence • Poorer children who attend elite universities have lower prior attainment than richer children – – May suggest poor students are being offered grade discounts (a contextual admissions systems operating) Or it could be that richer students exceed the university offer to a greater extent than poorer students SES gaps are still evident at every key stage even for the elite group of pupils who end up in high status universities 100 % of sample 90.1 80 98.8 94.7 88 79.4 72.3 66.6 70.5 79.4 78.2 72.6 63.7 60 48.6 46.7 40 20 0 Always FSM Not always FSM Most deprived 3+ A-B in any subjects at A-level Least deprived Non-select Selective state second. state second. 5+ A*-C in EBacc subjects at GCSE Private second. Findings • • Even at A level (KS5), some scope for improvement to ensure that highly qualified students from poorer backgrounds apply to high status institutions But earlier intervention also key to prevent high achieving poor children falling off the trajectory BEYOND HE 34 Access to the professions • High status occupations have higher earnings, higher social status and greater social connections • Access to these professions is crucially important for social mobility • Work funded by the Social Mobility and Child Poverty Commission 35 Data • Higher Education Statistics Agency Destinations of Leavers from Higher Education Survey • Focus on sample of new graduates (2006/07) and occupation 3.5 years after graduation • Final sample = 24,980 • Measure relative likelihood of entering particular high status professions by socio-economic background and whether went to private school 36 Methodology • Compare family background of those in high status occupations 3.5 years after graduation - Higher managerial - Higher Professional • Allow for lots of other differences between graduates - Demographics, prior attainment, institution, post-grad qualifications 37 Methodology • Outcome NS-SEC I versus NS-SEC 2-7 • Measures of socio-economic background: – private school indicator – socio-economic status of parents – neighbourhood HE participation (POLAR 3) • Allowing for: – Demographics – age, gender, ethnicity – Prior attainment – subject, degree classification, UCAS tariff point score, university attended, postgraduate qualifications 38 Private school attendance by occupation 25 Percent attended private school 20 15 Sample average 10 National average 5 0 % of sample Top NS-SEC 30% Higher managerial 6% Higher professional Top NS-SEC 24% NS-SEC 2-7 70% Evidence • More socio-economically advantaged graduates earn more and get higher status jobs after graduation • Mostly because they have higher levels of academic achievement, attend elite institutions and take particular degree subjects • But comparing similarly qualified graduates, those who attended private schools earn more and are 2-3% more likely to be in a top occupation 40 Mechanisms • The use of family/friend networks does not appear to be driving the results • Networks matter but do not explain the private school advantage • “Non-cognitive” skills • Cultural capital • Financial capital 41 What does all this mean for social mobility? • Similarly qualified pupils have roughly equal chance of going to university regardless of family background –Focus on increasing achievement of poor students –Some scope to increase applications to high status institutions? • A high achieving poor child is more likely to fall off their trajectory, particularly in early secondary school –Focus on early secondary? 42 What does all this mean for social mobility? • Poor children who make it to a high status institution do so with lower attainment –Some evidence that universities are adapting their admissions? • After university, privately educated students do better in the labour market –University support for labour market entry? 43 References • Alvaredo, Facundo, Anthony B. Atkinson, Thomas Piketty, and Emmanuel Saez. The top 1 percent in international and historical perspective. No. w19075. National Bureau of Economic Research, 2013. • Atkinson, Anthony B., Thomas Piketty and Emmanuel Saez (2011). Top Incomes in the Long Run of History, Journal of Economic Literature, 49(1), pp. 3-71. • Belley, P. and Lochner, L. (2007) ‘The Changing Role of Family Income and Ability in Determining Educational Achievement’, Journal of Human Capital, 1(1): 37 – 89. • Black, D. (2006) ‘Estimating the Returns to College Quality with Multiple Proxies for Quality’, Journal of Labor Economics, 24(3): 701 – 728. • Blanden, J. and Machin, S. (2007) Recent Changes in Intergenerational Mobility in Britain. Sutton Trust, London. (Available from http://www.suttontrust.com/public/documents/summaryintergenerationalmobility.pdf.) • Blanden, J. and Machin, S. (2010) Intergenerational Inequality in Early Years Assessments. In Children of the 21st century: The first five years (eds K. Hansen, H. Joshi, and S.Dex), pp. 153-168. Bristol: The Policy Press. • Boliver, V. (2013) ‘How fair is access to more prestigious UK universities?’ British Journal of Sociology 64 (2): 344-364. • Cameron, S. and Heckman, J. (2001) ‘The Dynamics of Educational Attainment for Black, Hispanic, and White Males’, Journal of Political Economy, 109(3): 455 – 499. • Cardak, B. and Ryan, C. (2009) ‘Participation in Higher Education in Australia: Equity and Access’, The Economic Record, 85(271), 433 – 448. • Chevalier, A. and Conlon, G. (2003), ‘Does it Pay to Attend a Prestigious University?’, Centre for the Economics of Education (CEE) Discussion Paper number 33. Accessed 18th October 2012 from http://cee.lse.ac.uk/ceedps/ceedp22.pdf • Crawford, C., Macmillan, L. and Vignoles, A. (2014) Progress made by high-attaining children from disadvantaged backgrounds, Social Mobility and Child Poverty Commission Research report, June 2014. • Cunha, F., Heckman, J. and Lochner, L. (2006) ‘Interpreting the Evidence on Life Cycle Skill Formation’. In Eric Hanushek and Finis Welch (eds) Handbook of the Economics of Education, Amsterdam: Holland North. 44 References • Chowdry, H., Crawford, C., Dearden, L., Goodman, A., & Vignoles, A. (2013). Widening participation in higher education: Analysis using linked administrative data. Journal of the Royal Statistical Society: Series A (Statistics in Society), 176, 431–457. • Ermisch, J. and Del Bono, E. (2012) ‘Inequality in Achievements during Adolescence’ in J. Ermisch, M. Jantti and T. Smeeding (eds) Inequality from Childhood to Adulthood: A Cross-National Perspective on the Transmission of Advantage, New York: Russell Sage Foundation. • Duncan, G. and Magnuson, K. (2011) The Nature and Impact of Early Achievement Skills, Attention Skills and Behavior Problems. In Whither Opportunity? Rising Inequality, Schools, and Children’s Life Chances (eds G. Duncan and R. Murnane), pp. 47-69. New York: Russell Sage Foundation. • Feinstein, L. (2003) Inequality in the Early Cognitive Development of British Children in the 1970 Cohort, Economica, 70, 73-97. • Goodman A. Sibieta L. and Washbook E. (2009) Inequalities in Educational Outcomes Among Children Aged 3 to 16, Final report for the National Equality Panel, Institute for Fiscal Studies, London. (Available from http://sta.geo.useconnect.co.uk/pdf/Inequalities%20in%20education%20outcomes%20among%20children.pdf.) • Jerrim, J., & Vignoles, A. (2013). Social mobility, regression to the mean and the cognitive development of high ability children from disadvantaged homes. Journal of the Royal Statistical Society: Series A (Statistics in Society), 176: 887–906. • Krueger, Alan. "The rise and consequences of inequality." Presentation made to the Center for American Progress, January 12th. Available at http://www. americanprogress. org/events/2012/01/12/17181/the-rise-and-consequences-of-inequality (2012). • Macmillan, L., Tyler, C. and Vignoles, A. (2014) ‘Who gets the top jobs?’, Institute of Education Research Briefing No.89, http://www.ioe.ac.uk/Research_Expertise/RB89_Who_gets_the_top_jobs_MacmillanTylerVignoles.pdf . • Parsons, S. Schoon, I. Rush, R. and Law, J. (2011) Long-term Outcomes for Children with Early Language Problems: Beating the Odds, Children and Society, 25, 202 – 214. • Schoon, I. (2006) Risk and Resilience: Adaptations in Changing Times, Cambridge: Cambridge University Press. • Walker, Ian, and Yu Zhu. "The College Wage Premium and the Expansion of Higher Education in the UK*." The Scandinavian Journal of Economics 110.4 (2008): 695-709. • Walker, Ian, and Yu Zhu. "Differences by degree: Evidence of the net financial rates of return to undergraduate study for England and Wales." Economics of Education Review 30, no. 6 (2011): 1177-1186. 45