Higher Education and Social Mobility: Evidence and Policy
How does higher education shape social mobility?
Developed in partnership with The Brilliant Club, this course is taught to secondary school students in England as part of The Scholars Programme. Students learn to interpret data, distinguish correlation from causation, and evaluate the role of universities in shaping social mobility.
The course in a nutshell
- Inputs — Inequalities in education. Who attends university? Student socio-economic background by university.
- Outputs — Inequalities by education. Students’ earnings outcomes by university and socio-economic background.
- Causal share. Portion of the variation in students’ earnings outcomes that is due to universities’ causal effects.
We discuss policy implications and potential policy interventions throughout.
Education is widely seen as the key to upward mobility, yet students from more advantaged families remain more likely to attend selective universities and reach the highest-earning careers. This raises a difficult question: does higher education level the playing field, or reinforce the inequalities it is supposed to overcome?
This course introduces students to these debates and equips them to explore them critically. Students examine how access to university differs by family background, how graduate outcomes are shaped by the type of institution attended, and whether universities truly change lives or simply select the students who would succeed anyway. Along the way, students develop key academic skills: how to interpret and present data, how to distinguish between correlation and causation, and how to write and argue clearly for policy and academic audiences. By the end, they will not only understand some of the most important questions facing higher education today, but also be able to analyse evidence and contribute to real-world debates about education policy and social mobility.
The course is made possible by the brilliant work of economists who have harnessed data to shed light on the role of higher education for social mobility in England; they are dutifully acknowledged in the reference list below. The course structure draws inspiration from some of the lectures in “Using Big Data to Solve Economic and Social Problems” taught by Raj Chetty and Greg Bruich at Harvard University.
Tutorials
Tutorial 1 — Intergenerational Mobility
The course opens by defining intergenerational mobility and examining how it relates to education policy. Students explore how family background relates to children’s earnings in adulthood and how higher education has expanded in England in the last decades (Britton, Drayton, and van der Erve, 2021; Farquharson, McNally and Tahir, 2024). Students practise interpreting data visualisations and identifying the key channels through which higher education may shape mobility. For their first assignment, students draft a “Call for Evidence” commissioning a policy report on how higher education shapes social mobility in England.
Tutorial 2 — Access to University
This tutorial turns to the input side of the mobility equation: who goes where? Students analyse how the representation of students from different socioeconomic backgrounds varies across universities of differing selectivity, drawing on evidence from Britton, Drayton and van der Erve (2021). A central question is whether access and selectivity gaps can be fully rationalised by differences in prior school achievement, or whether they persist even among students with comparable grades, as shown by Campbell et al. (2022). The homework asks students to interpret a data visualisation from the tutorial and discuss what the evidence implies for policy.
Tutorial 3 — Graduate Earnings and Inequalities
The focus shifts to the output side: how do earnings outcomes vary by university attendance, university type and student background? Students examine the graduate wage premium and learn how success rates—the probability that students from low-income families reach the top of the earnings distribution—differ across institutions, building on Britton, Drayton and van der Erve (2021) and Farquharson, McNally and Tahir (2024). The tutorial introduces the distinction between correlation and causation, setting the stage for Tutorial 4. In their homework, students are presented with fictional student profiles and asked to identify the fairest comparisons for isolating the causal effect of a university.
Tutorial 4 — Do Universities Change Lives? Causal Effects
This tutorial asks what share of the observed variation in graduate earnings across universities reflects genuine causal effects rather than selection. Students learn about selection bias, and natural experiments as tools for credible causal inference. They then engage with evidence from Belfield et al. (2021), who estimate returns to different degrees by comparing similar students attending different institutions. A key finding is that selectivity is only weakly related to returns across most of the distribution, but strongly so at the top. For homework, students reflect on the policy implications: can greater access to selective universities meaningfully boost social mobility?
Tutorial 5 — Academic and Policy Writing
Students learn the key principles of writing for academic and policy audiences. They are walked through and discuss practical, reference examples of how sections, paragraphs and sentences can be structured. In addition, the tutorial covers guidelines on finding, evaluating and using sources.
Tutorials 6 and 7 — Final Assignment
At the end of the course, students write a report to the Department for Education, analysing how higher education shapes social mobility in England. They receive one-to-one feedback on their draft report in tutorial 6, and on their final submission in tutorial 7.
References
Belfield, C., Britton, J., Buscha, F., Dearden, L., Dickson, M., Sibieta, L., Walker, I., van der Erve, L. and Zhu, Y. (2021). How much does degree choice matter? IFS Working Paper 21/24. Available at: ifs.org.uk
Britton, J., Drayton, E. and van der Erve, L. (2021). Which university degrees are best for intergenerational mobility? IFS Research Report. Available at: ifs.org.uk
Britton, J., Drayton, E. and van der Erve, L. (2021). Universities and social mobility. The Sutton Trust. Available at: suttontrust.com
Campbell, S., Macmillan, L., Murphy, R. and Wyness, G. (2022). “Matching in the Dark? Inequalities in Student to Degree Match,” Journal of Labor Economics, 40(4), pp. 807–850. Available at: doi.org/10.1086/718433
Farquharson, C., McNally, S. and Tahir, I. (2024). Education inequalities. Oxford Open Economics, 3, 760–820. Available at: academic.oup.com
Opportunity Insights. Big Data to Solve Economic and Social Problems. Harvard University. Available at: opportunityinsights.org