Abstract
This paper examines if universities in the UK mediate the impacts of spatial inequalities on earnings disparities among similar graduates and provides new evidence on the persistent income inequality at the neighbourhood level, using the Destination of Leavers from Higher Education (DLHE) survey data on the population of individuals graduating from universities in 2012/13. The results suggest that graduates from neighbourhoods with the highest university participation rate, on average, have higher earnings than those from the lowest-participation neighbourhoods, holding demographic features and university-related factors constant. The earnings gap by the neighbourhood quality remains substantial so that males from the lowest-participation neighbourhoods with a degree from the Russell Group barely earn higher incomes than their peers from the highest-participation areas who attended a less prestigious university. These results imply that universities in the UK do not fully level the playing field in terms of earnings disparities among graduates from different neighbourhoods.
Similar content being viewed by others
Notes
Regional gross value added (GVA) is the value generated by any unit engaged in the production of goods and services. GVA per head is a useful way of comparing regions of different sizes (Office for National Statistics, 2018).
The Gautreaux Assisted Housing Programme was the US’s first housing mobility programme helping families move from poor and segregated areas into racially and economically diverse suburban communities. By the time the programme ended in 1998, it had helped over 7,100 families (more than 25,000 individuals) relocate to neighbourhoods that were safer and offered better job and educational opportunities (BPI, 2015).
The Moving to Opportunity (MTO) is a major randomised housing mobility experiment sponsored by The United States Departments of Education and Housing and Urban Development. Starting in 1994, the MTO offered housing vouchers for low-income families to move from high-poverty neighbourhoods to low-poverty neighbourhoods (Chetty et al., 2016; Baum and McPherson, 2022).
POLAR classifies local areas into five groups, based on the proportion of 15 years old who entered universities by the age of 19. These rates are used to assign wards into five quintiles. Wards are contiguous areas that are large enough to typically refer to a recognisable named neighbourhood and the primary unit of English electoral geography for civil parishes, borough, and district councils.
Higher Education (HE) providers with similar origins and ambitions often form alliances to encourage collaboration, build relationships with local businesses and produce impactful research. Such a mission group is a typology and not necessarily hierarchical; however, the Russell Group, which comprises 24 research intensive universities, e.g., Cambridge, Oxford, London School of Economic, and Imperial College London, is often considered as the most prestigious universities in the UK. The Guild HE is a group of universities, further education (FE) colleges, professional bodies, and specialist institutions that specialise in various fields, e.g., art, design/media, music/performing arts, education, business, and health (GuildHE, 2021). The Million Plus is a group of younger or more modern universities focusing on research that drives economic, social, and cultural changes (MillionPlus, 2021). The University Alliance is an association of universities, which was formed in 2006, and its membership mainly comprises technical and professional universities with a mission to drive economic growth in Britain’s cities and regions, with a particular focus on links with industry (University Alliance, 2017). The 1994 Group comprised 19 universities in the group, all of which had relatively higher entry requirements. Though the 1994 Group formally dissolved in November 2013 after 19 years of history, the analysis in this paper still includes this group given that the target cohort for the analysis is those who graduated in 2012/13.
Any readers interested in the details regarding the multiple imputation and the results of this action can contact the author.
The variable indicating whether an individual attended a private school is considered as the system-wide measure of human capital (S) since a vast body of literature in the field has suggested peer influences within private school environments are strong enough to overweigh the effect of true learning on various life outcomes (Green et al., 2017).
Reference
Aaronson, D. (1998) Using Sibling Data to Estimate the Impact of Neighborhoods on Children’s Educational Outcomes. The Journal of Human Resources 33(4): 915–946
Ainsworth, J.W. (2002) Why Does It Take a Village? The Mediation of Neighborhood Effects on Educational Achievement. Social Forces 81(1): 117–152
Atkinson, A.B. and Jenkins, S.P. (1984) The Steady-State Assumption and the Estimation of Distributional and Related Models. The Journal of Human Resources 19(3): 358–376
Bachtler, J. (2004) 'Regional Disparities in the United Kingdom', in H. Karl and P. Rollet (eds.) Employment and Regional Development Policy: Market Efficiency versus Policy InterventionVerlag der ARL, pp. 36–49.
Baum, S. and McPherson, M. (2022) Can College Level the Playing Field? Higher Education in an Unequal Society, Prineton University Press.
Becker, G. (1964) Human Capital—A Theoretical and Empirical Analysis, with Special Reference to Education, The University of Chicago Press.
Becker, G. and Tomes, N. (1986) Human Capital and the Rise and Fall of Families. Journal of Labor Economics 4(3): S1-39
Bénabou, R. (1996) Equity and Efficiency in Human Capital Investment: The Local Connection. Review of Economic Studies 63: 237–264
Blanden, J. and Macmillan, L. (2016) Educational Inequality, Educational Expansion and Intergenerational Mobility. Journal of Social Policy 45(4): 589–614
Bolster, A., Burgess, S., Johnston, R., Jones, K., Propper, C. and Sarker, R. (2007) Neighbourhoods, Households and Income Dynamics: A Semi-Parametric Investigation of Neighbourhood Effects. Journal of Economic Geography 7: 1–38
Borjas, G. (1995) The Economic Benefits from Immigration. Journal of Economic Perspective 9(2): 3–22
BPI. (2015, June 10). The Gautreaux Program and Housing Mobility Beyond Chicago. BPI Chicago. https://www.bpichicago.org/blog/the-gautreaux-program-and-housing-mobility-beyond-chicago/
Brambor, T., Clark, W.R. and Golder, M. (2006) Understanding Interaction Models: Improving Empirical Analyses. Political Analysis 14(1): 63–82
Britton, J., Dearden, L., Shephard, N. and Vignoles, A. (2016). How English Domiciled Graduate Earnings Vary with Gender, Institution Attended, Subject and Socio-Economic Background (IFS Working Paper W16/06). Institute for Fiscal Studies.
Britton, J., Dearden, L., Shephard, N. and Vignoles, A. (2019) Is Improving Access to University Enough? Socio-Economic Gaps in the Earnings of English Graduates. Oxford Bulletin of Economics and Statistics 81(2): 328–368
Brooks-Gunn, J., Duncan, G.J., Klebanov, P.K. and Sealand, N. (1993) Do Neighborhoods Influence Child and Adolescent Development? American Journal of Sociology 99(2): 353–395
Bukodi, E. and Goldthorpe, J.H. (2011) Class Origins, Education and Occupational Attainment in Britain: Secular trends or cohort-specific effects? European Societies 13(3): 347–375
Bukodi, E. and Goldthorpe, J.H. (2018) Social Mobility and Education in Britain: Research, Politics and Policy, 1st edn, Cambridge University Press.
Burdick-Will, J., Ludwig, J., Raudenbush, S.W., Sampson, R.J., Sanbonmatsu, L. and Sharkey, P. (2011) 'Converging Evidence for Neighborhood Effects on Children’s Test Scores: An Experimental, Quasi-Experimental, and Observational Comparison', Whither Opportunity? Rising Inequality, Schools, and Children’s Life ChancesSage Foundation, pp. 255–276.
Case, A. and Katz, L. (1991). The Company You Keep: The Effects of Family and Neighborhood on Disadvantaged Youths (No. w3705; p. w3705). National Bureau of Economic Research.
Chetty, R. and Hendren, N. (2018) The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects. The Quarterly Journal of Economics 133(3): 1107–1162
Chetty, R., Hendren, N. and Katz, L.F. (2016) The Effects of Exposure to Better Neighborhoods on Children: New Evidence from the Moving to Opportunity Experiment. American Economic Review 106(4): 855–902
Chetty, R., Friedman, J., Saez, E., Turner, N. and Yagan, D. (2017). Mobility Report Cards: The Role of Colleges in Intergenerational Mobility (No. w23618; p. w23618). National Bureau of Economic Research.
Corcoran, M., Gordon, R., Laren, D. and Solon, G. (1992) The Association Between Men’s Economic Status and Their Family and Community Origins. The Journal of Human Resources 27(4): 575
Crane, J. (1991) The Epidemic Theory of Ghettos and Neighborhood Effects on Dropping Out and Teenage Childbearing. American Journal of Sociology 96(5): 1226–1259
Crawford, C. and Vignoles, A. (2014). Heterogeneity in Graduate Earnings By Socio-Economic Background (IFS Working Paper W14/30). Institute for Fiscal Studies.
Datcher, L. (1982) Effects of Community and Family Background on Achievement. The Review of Economics and Statistics 64(1): 32–41
Department for Education. (2019). Participation Rates in Higher Education: Academic Years 2006/07—2017/18. Department for Education.
Dickey, H. (2007) Regional Earnings Inequality in Great Britain: Evidence from Fixed-effects Regressions. Labour 21(4–5): 763–787
Dietz, R.D. (2002) The Estimation of Neighborhood Effects in the Social Sciences: An Interdisciplinary Approach. Social Science Research 31(4): 539–575
Duncan, O.D. and Hodge, R.W. (1963) Education and Occupational Mobility a Regression Analysis. American Journal of Sociology 68(6): 629–644
Durlauf, S. (1996) 'Neighborhood Feedbacks, Endogenous Stratification, and Income Inequality', in W. Barnett, G. Gandolfo and C. Hillinger (eds.) Dynamic Disequilibrium Modeling: Theory and ApplicationsCambridge University Press.
Durlauf, S. (2004) 'Neighborhood Effects', in V. Henderson and J.-F. Thisse (eds.) Handbook of Regional and Urban Economics, 1st edn, North-Holland.
Duta, A. and Iannelli, C. (2018) Social Class Inequalities in Graduates’ Labour Market Outcomes: The Role of Spatial Job Opportunities. Social Sciences 7(10): 201
Ellen, I. and Turner, M. (1997) Does Neighborhood Matter? Assessing Recent Evidence. Housing Policy Debate 8(4): 833–866
European Commission. (2011). Neighbourhood Choice, Neighbourhood Sorting, and Neighbourhood Effects. European Commission; CORDI.
Gibbons, S., Overman, H. and Pelkonen, P. (2010). Wage Disparities in Britain: People or Place? Spatial Economics Research Centre.
Gibbons, S. (2002). Neighbourhood Effects on Educational Achievement: Evidence from the Census and National Child Development Study. London School of Economics: Centre for the Economics of Education.
Ginther, D., Haveman, R. and Wolfe, B. (2000) Neighborhood Attributes as Determinants of Children’s Outcomes: How Robust Are the Relationships? The Journal of Human Resources 35(4): 603–642
Green, A. (2011). Spatial Inequality and Skills in a Changing Economy (Briefing Paper Series). UKCES.
Green, F., Henseke, G. and Vignoles, A. (2017) Private Schooling and Labour Market Outcomes. British Educational Research Journal 43(1): 7–28
Gregg, P., Jonsson, J.O., Macmillan, L. and Mood, C. (2017) The Role of Education for Intergenerational Income Mobility: A Comparison of the United States, Great Britain, and Sweden. Social Forces 96(1): 121–152
GuildHE. (2021). About GuildHE. Guild HE. https://guildhe.ac.uk/about-5/
Harding, D.J. (2003) Counterfactual Models of Neighborhood Effects: The Effect of Neighborhood Poverty on Dropping Out and Teenage Pregnancy. American Journal of Sociology 109(3): 676–719
HESA. (2014). Introduction: Destinations of Leavers 2012/13. HESA. https://www.hesa.ac.uk/data-and-analysis/publications/destinations-2012-13/introduction
HESA. (2021). Destinations of Leavers from Higher Education Longitudinal Survey. HESA. https://www.hesa.ac.uk/data-and-analysis/publications/long-destinations-2012-13/notes
Katz, L., Kling, J. and Liebman, J. (2001) Moving to Opportunity in Boston: Early Results of a Randomized Mobility Experiment. Quarterly Journal of Economics 116(2): 607–654
Kling, J. R., Liebman, J. B., Katz, L. F. and Sanbonmatsu, L. (2004). Moving to Opportunity and Tranquility: Neighborhood Effects on Adult Economic Self-Sufficiency and Health from a Randomized Housing Voucher Experiment (Princeton IRS Working Paper 481). Princeton University, Department of Economics, Industrial Relations Section.
Lee, S. (2021) A Social Ladder or a Glass Floor? The Role of Higher Education in Intergenerational Social Mobility: Empirical Evidence from South Korea. Higher Education Policy. https://doi.org/10.1057/s41307-021-00241-1
Lee, S. and Choi, S. (2020) Mobility Report Cards of Colleges in Korea: The Role of Colleges in Intergenerational Mobility and Maintenance of Economic Status. Korean Journal of Sociology 54(1): 181–240
Lee, S. and Vignoles, A. (2022) Does College Level the Playing Field? Socioeconomic Gaps in the Earnings of Similar Graduates: Evidence from South Korea. Higher Education 83(6): 1335–1354
Ludwig, J., Duncan, G.J., Gennetian, L.A., Katz, L.F., Kessler, R.C., Kling, J.R. and Sanbonmatsu, L. (2013) Long-Term Neighborhood Effects on Low-Income Families: Evidence from Moving to Opportunity. The American Economic Review 103(3): 226–231
McDool, E. (2017). Neighbourhood Effects on Educational Attainment: Does Family Background Influence the Relationship? (SERPS No.2017002; Sheffield Economic Research Paper Series). The University of Sheffield: Department of Economics.
MillionPlus. (2021). MillionPlus: Who We Are and Our Role. Million Plus. https://www.millionplus.ac.uk/about-us/our-role
Office for Students. (2019, April 26). About POLAR and Adult HE—Office for Students (Worldwide). Office for Students.
Office for National Statistics. (2018). Regional Economic Activity by Gross Value Added (Balanced), UK: 1998 to 2017. Office for National Statistics.
Oreopoulos, P. (2003) The Long-Run Consequences of Living in a Poor Neighborhood. The Quarterly Journal of Economics 118(4): 1533–1575
Overman, H. (2019, December 9). What Are the Economic Forces Polarising the UK? LSE BREXIT. https://blogs.lse.ac.uk/brexit/2019/12/09/what-are-the-economic-forces-polarising-the-uk/
Sampson, R.J., Morenoff, J.D. and Gannon-Rowley, T. (2002) Assessing ‘Neighborhood Effects’: Social Processes and New Directions in Research. Annual Review of Sociology 28: 443–479
Sanbonmatsu, L., Kling, J., Duncan, G. and Brooks-Gunn, J. (2006). Neighborhoods and Academic Achievement: Results from the Moving to Opportunity Experiment (No. w11909; p. w11909). National Bureau of Economic Research.
Schultz, T.W. (1961) Investment in Human Capital. The American Economic Review 51(1): 1–17
Settersten, R. (2001). Community Organzation and the Life Course. International Encyclopedia of the Social & Behavioral Sciences.
Sharkey, P. and Faber, J.W. (2014) Where, When, Why, and For Whom Do Residential Contexts Matter? Moving Away from the Dichotomous Understanding of Neighborhood Effects. Annual Review of Sociology 40(1): 559–579
Social Mobility Commission. (2020). The Long Shadow of Deprivation: Differences in Opportunities across England [Research Report]. Social Mobility Commission.
Taylor, K. (2006) UK Wage Inequality: An Industry and Regional Perspective. Labour 20(1): 91–124
Tienda, M. (1991) 'Poor People, Poor Places: Deciphering Neighbourhood Effects on Poverty Outcomes', in J. Huber (ed.) Macro-micro Linkages in SociologySage, pp. 244–262.
Tunstall, R., Green, A., Lupton, R., Watmough, S. and Bates, K. (2014) Does Poor Neighbourhood Reputation Create a Neighbourhood Effect on Employment? The Results of a Field Experiment in the UK. Urban Studies 51(4): 763–780
University Alliance. (2017). University Alliance: Strategic Framework 2017. University Alliance. https://www.unialliance.ac.uk/wp-content/uploads/2017/11/UA-Strategic-framework-2017-final.pdf
van Ham, M. and Manley, D. (2010) The Effect of Neighbourhood Housing Tenure Mix on Labour Market Outcomes: A Longitudinal Investigation of Neighbourhood Effects. Journal of Economic Geography 10(2): 257–282
Walker, I. and Zhu, Y. (2017). University Selectivity and the Graduate Wage Premium: Evidence from the UK (Discussion Paper Serios No. 10536). IZA Institute of Labor Economics.
Wong, C., Arnold, T., Baker, M., Koksal, C., Bäing, A. and Zheng, H. (2019). Measuring Spatial Inequality in the UK: What We Know and What We Should Know? (UK 2070 Commission). The Spatial Policy & Analysis Laboratory; The Manchester Urban Institute.
Zwysen, W., Stasio, V.D. and Heath, A. (2020) Ethnic Penalties and Hiring Discrimination: Comparing Results from Observational Studies with Field Experiments in the UK. Sociology 55: 263
Zwysen, W. and Longhi, S. (2016). Labour Market Disadvantage of Ethnic Minority British Graduates: University Choice, Parental Background or Neighbourhood? (No. 2016–02; ISER Working Paper Series). Institute for Social & Economic Research.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Lee, S. Does University Level the Playing Field? Impacts of Spatial Inequalities on the Gap in the Earnings of Similar Graduates: Evidence from the UK. High Educ Policy 36, 847–870 (2023). https://doi.org/10.1057/s41307-022-00292-y
Published:
Issue Date:
DOI: https://doi.org/10.1057/s41307-022-00292-y