Heterogeneities in the returns to degrees: evidence from the British cohort study 1970

Massimiliano Bratti (), Robin Naylor () and Jeremy Smith

Departmental Working Papers from Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano

Abstract: Estimates of a high average return to a degree for UK graduates have provided a policy rationale for increasing the share of the costs of higher education borne by UK students over recent decades. We use evidence from a cohort of people born in 1970 to estimate hourly wage returns to a university degree. We analyse the extent of variations around average returns, focussing on heterogeneity in returns by factors such as: gender, degree subject studied, degree class awarded, student ability measures and family background. Among other results, we find substantial evidence of heterogeneous returns to a first degree according to subject area of study and class of degree awarded.

Keywords: Degree; return; subject; UK; university (search for similar items in EconPapers)
JEL-codes: I2 J3 J4 (search for similar items in EconPapers)
Date: 2008-12-17
New Economics Papers: this item is included in nep-edu and nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (28)

Downloads: (external link)
http://wp.demm.unimi.it/files/wp/2008/DEMM-2008_040wp.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to aaa.unimi.it:80 (nodename nor servname provided, or not known) (http://wp.demm.unimi.it/files/wp/2008/DEMM-2008_040wp.pdf [302 Found]--> http://aaa.unimi.it)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mil:wpdepa:2008-40

Access Statistics for this paper

More papers in Departmental Working Papers from Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano Via Conservatorio 7, I-20122 Milan - Italy. Contact information at EDIRC.
Bibliographic data for series maintained by DEMM Working Papers ( this e-mail address is bad, please contact ).