Two Centuries of Access: Did Expanding Higher Education Reduce Inequality in the UK?

In 1826, University College London was founded with a radical idea: that higher education should be accessible regardless of religion or social background (Arnold 2025). At the time, England's leading universities were largely restricted to Anglican elites. UCL sought to challenge this exclusivity, becoming known as the people's university. 

 

Two centuries later, the principle of educational access has become central to the British higher education system. University participation expanded dramatically during the twentieth century, particularly following the 1963 Robbins Report and the expansion of universities in the 1990s (House of Commons 2011). Yet an important question remains: did this expansion of higher education actually reduce economic inequality? This article explores that question empirically by examining whether greater access to tertiary education is associated with lower income inequality in the UK over time. 

 

Historical Context: From Elite Universities to Mass Participation 

For much of the nineteenth century, British universities educated only a small elite. Higher education enrolment rates remained extremely low until the mid-twentieth century (Worth, Muggleton, and Reeves 2024). The 1963 Robbins Report marked a turning point, recommending that university places should be available to all who were qualified by ability and attainment. Subsequent decades saw a dramatic expansion of the sector. Polytechnic institutions were granted university status in 1992, and participation rates rose sharply. By the early twenty-first century, nearly half of young people in the UK were attending university (Gibney 2022). 

 

From an economic perspective, this expansion reflects a major increase in human capital investment. Economic theory suggests that greater access to education should improve labour market opportunities and potentially reduce inequality by raising earnings among lower-income groups. However, the relationship is not straightforward. If high-income households benefit disproportionately from university expansion, inequality could persist or even widen. To explore this relationship, I estimate a simple empirical model using UK time-series data. 

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Data and Methodology

To analyse the relationship between higher education access and inequality, I estimate the following regression model:

 

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​Where: 

• Ginit measures income inequality via the Gini coefficient 

• HEt measures higher education participant in terms of gross tertiary school enrollment 

• log(GDPpct) is the natural logarithm of the GDP per capita 

• Unemploymentt is indicated by the unemployment rate 

• SocialSpendingt reflects spending on welfare, pensions, and unemployment benefits as a share of GDP ​

The analysis uses annual data for the United Kingdom from 1990–2020, the period for which consistent inequality data are available.

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Regression Results

The regression obtained is: 

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​The coefficient on tertiary enrolment is positive and marginally statistically significant (p = 0.05), implying that a 1 percentage point increase in tertiary education participation is associated with a 0.0008 increase in the Gini coefficient, on average over the sample period. This suggests that expansions in higher education participation are associated with slightly higher income inequality in the UK over the period studied. One possible interpretation is that early increases in university participation may have disproportionately benefited students from relatively advantaged socioeconomic backgrounds, allowing them to capture a greater share of high-skilled labour market opportunities.

 

The coefficient on log GDP per capita is negative but statistically insignificant (p = 0.650), indicating that higher levels of economic development are associated with slightly lower inequality in the data, although this relationship is not statistically distinguishable from zero in this specification. Similarly, the unemployment rate enters with the expected positive sign (coefficient = 0.0021), suggesting that higher unemployment may increase income inequality, but this relationship is also not statistically significant (p = 0.373).

 

In contrast, public social expenditure as a share of GDP has a negative and statistically significant coefficient (−0.0055, p = 0.002), implying that a 1 percentage point increase in government social spending is associated with a 0.0055 reduction in the Gini coefficient, on average over the period. This result highlights the important role of redistribution and welfare policy in shaping income distribution.

 

The strength of the overall relationship is reflected in the model’s explanatory power: the included variables explain approximately 61% of the variation in UK income inequality over the sample period (R² = 0.61), and the regression is jointly statistically significant (F-statistic p < 0.001). However, as a time-series regression using a relatively small sample, the results should be interpreted as correlational rather than causal, particularly given the possibility of common macroeconomic trends and policy changes affecting multiple variables simultaneously.

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Limitations 

Several limitations should be considered when interpreting these results. First, the regression uses a relatively small time-series sample of 30 annual observations for the UK, which limits statistical power and makes coefficient estimates potentially sensitive to short-term fluctuations or measurement error. Second, the analysis identifies correlations rather than causal relationships. Changes in income inequality may be influenced by other structural factors that are not included in the model such as technological change, labour market institutions, tax policy, or union density. This creates the possibility of omitted variable bias. Third, the use of macroeconomic time-series data raises potential econometric concerns, including serial correlation and common trends across variables, which could affect coefficient estimates. Finally, the measure of higher education access used in the regression captures overall tertiary enrolment rather than the socioeconomic distribution of university participation. As a result, the analysis cannot determine whether expansion in higher education benefited individuals from disadvantaged backgrounds equally across the period studied.

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Linking Back to UCL’s Founding Vision 

The findings offer an interesting perspective on the historical legacy of University College London. When UCL was founded in 1826, its mission was to challenge the exclusivity of other prominent institutions by expanding access to higher education. Two centuries later, university participation in the UK has increased dramatically, reflecting the broader realisation of that founding vision.

However, the regression results suggest that expanding access to higher education alone does not necessarily reduce income inequality. The estimated coefficient on tertiary enrolment is small and marginally significant, indicating that increases in university participation are associated with a slight rise in inequality in the short run. This may reflect the fact that early expansions in higher education often benefited students from relatively advantaged backgrounds. By contrast, the analysis shows that government redistribution has a clearer and statistically significant effect in reducing inequality. Together, these findings suggest that education expansion and redistributive policy operate as complementary forces in shaping economic opportunity.

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Conclusion 

Two centuries after its founding, University College London remains closely associated with the principle of widening access to education. The empirical analysis presented here suggests that while the expansion of higher education has played an important role in transforming the UK’s social and economic landscape, its direct impact on income inequality appears limited. Instead, the results highlight the stronger equalising role of public redistribution, with higher levels of social spending significantly associated with lower income inequality over the period studied.

These findings do not diminish the importance of expanding educational opportunities. Rather, they suggest that the benefits of higher education expansion may depend on broader institutional and policy contexts. As debates around tuition fees, access, and the future of universities continue, the historical legacy of UCL reminds us that educational reform alone cannot reshape economic outcomes; it must operate alongside policies that ensure the gains from growth and knowledge are shared across society.

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References:

1. Arnold, Thomas. 2025. “How a world-class university was founded.” UCL Press. https://uclpress.co.uk/how-a-world-class-university-was-founded/.

2. Eurostat, OECD, IMF, and World Bank. 2026. “GDP per capitaIn constant international-$.” Our World in Data. https://ourworldindata.org/grapher/gdp-per-capita-worldbank.

3. Gibney, Elizabeth. 2022. “Robbins: 50 years later.” Times Higher Education. https://www.timeshighereducation.com/features/robbins-50-years-later/2008287.article.

4. House of Commons. 2011. “Government reform of Higher Education - Business, Innovation and Skills Committee.” UK Parliament. https://publications.parliament.uk/pa/cm201012/cmselect/cmbis/885/88504.htm.

5. ILO Modelled Estimates, via World Bank. 2026. “Unemployment rate.” Our World in Data. https://ourworldindata.org/grapher/unemployment-rate.

6. OECD. 2025. “Public social expenditure as a share of GDP.” Our World in Data. https://ourworldindata.org/grapher/social-spending-oecd-longrun?tab=table&time=latest&country.

7. UNESCO Institute for Statistics. 2025. “Primary, secondary and tertiary education enrollment and completion rates, World.” Our World in Data. https://ourworldindata.org/grapher/primary-secondary-enrollment-completion-rates.

8. World Bank Poverty and Inequality Platform. 2026. “Income inequality: Gini coefficient.” Our World in Data. https://ourworldindata.org/grapher/economic-inequality-gini-index.

9. Worth, Eve, Naomi Muggleton, and Aaron Reeves. 2024. “Gendered processes of recruitment to elite higher educational institutions in mid-twentieth century Britain.” Gender & History, (May). https://doi.org/10.1111/1468-0424.12785.