University of Texas at Austin, USA
IZA World of Labor role
Author
Current position
Assistant Professor, Department of Economics, The University of Texas at Austin, USA
Research interest
The process of education and educational systems
Website
Past positions
Research Officer, London School of Economics, Centre for Economic Performance (2012–2015); Research Assistant, London School of Economics, Centre for Economic Performance (2006–2012); Research Fellow, University of Westminster, UK (2005–2006)
Qualifications
PhD Economics, UCL, UK, 2014
Selected publications
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"Minority report: The impact of predicted grades on university admissions of disadvantaged groups." Education Economics (Forthcoming) (with G. Wyness).
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"Top of the class: The importance of ordinal rank." Review of Economic Studies (Forthcoming) (with F. Weinhardt).
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“Why unions survive: Understanding how unions overcome the free-rider problem.” Journal of Labor Economics (Forthcoming).
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"The end of free college in England: Implications for enrolments, equity, and quality." Economics of Education Review (2019) (with G. Wyness and J. Scott Clayton)
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“Ill communication: Technology, distraction & student performance.” Labour Economics 41 (2016): 61–76 (with L. Beland).
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What is the nature and extent of student–university mismatch?
Students do worse if their abilities fail to match the requirements of the institutions where they matriculate
Gillian WynessRichard Murphy, June 2020A growing body of research has begun to examine the match between student ability and university quality. Initial research focused on overmatch—where students are lower attaining than their college peers. However, more recently, attention has turned to undermatch, where students attend institutions with lower attaining peers. Both have been shown to matter for student outcomes; while in theory overmatch could be desirable, there is evidence that overmatched students are less likely to graduate college. Undermatched students, meanwhile, have been shown to experience lower graduate earnings.MoreLess