Inequalities in student to course match: Evidence from linked administrative data
Dr Gill Wyness will explore how the match between student quality and university quality differs by socio-economic backgrounds.
Inequalities in student to course match: Evidence from linked administrative data
30 Jan 2020, 12:00 – 13:30
This paper examines inequalities in the match between student quality and university quality using linked administrative data from schools, universities, and tax authorities.
There has been an analysis of the two measures of 'match' at the university-subject (course) level, based on student academic attainment, and graduate earnings.
The findings state 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 slight gender gaps in academic match, high-attaining women systematically undermatch in terms of expected earnings. These are largely driven by subject choice.
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Gill's main interest is in quantitative research on higher education. She is also a Co-Investigator on CGHE’s social and economic impact of higher education research programme.
Further information
Ticketing
Open
Cost
Free
Open to
All
Availability
Yes