CGHE Webinar 128

Inequalities in student to course match: evidence from linked administrative data

Date: Thursday, 30 January 2020 12:00 pm - 1:30 pm
Location: 421 Nunn Hall, UCL Institute of Education

Stuart Campbell, Lindsey Macmillan, Richard Murphy and Gill Wyness

This paper examines inequalities in the match between student quality and university quality using linked administrative data from schools, universities and tax authorities. We analyse two measures of match at the university-subject (course) level, based on student academic attainment, and graduate earnings. We find that students from lower socio-economic groups systematically undermatch for both measures across the distribution of attainment, with particularly stark socio-economic gaps for the most undermatched. While there are negligible gender gaps in academic match, high-attaining women systematically undermatch in terms of expected earnings, largely driven by subject choice.

Read the working paper, ‘Matching in the dark? Inequalities in student to degree match’

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