Overeducation Among Graduates: a cohort view

Battu, Harminder; Belfield, Clive; Sloane, Peter J.

doi:10.1080/09645299900000002

Cited by 204 publications

(177 citation statements)

References 12 publications

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“…From the results, we have confidence that the absence from LFS data of the rich controls available in BCS70 does not cause major 13 There are, however, significant differences across subjects in the return to a lower class degree over A-levels, consistent with a wider literature on how UK degree returns vary by subject of study. See, for example, Lissenburgh and Bryson (1996), Harkness and Machin (1999), Zhu (2001, 2011), Dolton and Makepeace (1990), Chevalier et al (2002), Belfield et al (1997), Battu et al (1999). We leave detailed analysis of this for further work.…”

Section: Evidence From Labour Force Survey Data: Birth Cohorts 1969-1971mentioning

confidence: 97%

Graduate returns, degree class premia and higher education expansion in the UK

2015

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We investigate the extent to which graduate returns vary according to the class of degree achieved by UK university students and examine changes over time in estimated degree class premia. Using a variety of complementary datasets for individuals born in Britain around 1970 and aged between 30 and 40, we estimate an hourly wage premium for a 'good' (relative to a 'lower') class of degree of 7% to 9%, implying a wide spread around the average graduate premium. We also estimate the premium for a good relative to a lower degree for different cohorts (those born between the mid-1960s and early-1980s) and find evidence that the premium for a good degree has risen over time as the proportions of cohorts participating in higher education have increased.Keywords: Graduate returns, higher education participation, ability composition JEL codes: J31; J24; I23; D82 This paper was produced as part of the Centre's Education and Skills Programme. The Centre for Economic Performance is financed by the Economic and Social Research Council.We are grateful to Abigail McKnight for help with matching USR/FDS occupational codes to earnings data and to Massimiliano Bratti for research collaboration using BCS70 data. We also thank Jo Blanden and Jonathan Cribb for guidance on non-cognitive personality measures in BCS70 and Wenchao Jin for LFS measures of graduate unemployment. We acknowledge helpful comments on earlier versions from anonymous referees and from

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Section: Evidence From Labour Force Survey Data: Birth Cohorts 1969-1971mentioning

confidence: 97%

Graduate returns, degree class premia and higher education expansion in the UK

2015

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“…Overeducated workers may also experience lower levels of job-satisfaction (Tsang et al, 1991;Battu et al, 1999). Moreover, less-qualified workers may be displaced and 'bumped down' in the labour market, or into unemployment, by over-educated workers moving into their occupations, particularly in slack labour markets (Battu and Sloane, 2002).…”

Section: Determinants Of Regional Differences In Rates Of Overeducatimentioning

confidence: 99%

“…To date, research to identify the determinants of international differences in rates of overeducation has been limited. Thus, while we know much about the magnitude of overeducation effects on variables such as earnings, job satisfaction and career mobility (Battu, Belfield and Sloane (1999) and Dolton and Vignoles (2000), Peiró et al (2010), McGuinness (2003), McGuinness and Sloane (2011)), there is much less understanding of the structural factors that drive the overeducation phenomenon itself. With respect to the very limited work that does exist, Groot and van den Brink (2000), in a meta-analysis, found evidence of a relationship between overeducation and the rate of labour force growth.…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of regional differences in rates of overeducation in Europe

Rodríguez

McGuinness

O’Connell

2017

Social Science Research

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This paper examines the factors determining variations in spatial rates of overeducation.A quantile regression model has been implemented on a sample of region-yearly data drawn from the EU Survey on Income and Living Conditions (EU-SILC) and several institutional and macroeconomic features captured from other data-sets. Potential determinants of overeducation rates include factors such as labour market risk, financial aid to university students, excess labour demand and institutional factors. We find significant effects both for labour market structural imbalances and institutional factors.The research supports the findings of micro based studies which have found that overeducation is consistent with an assignment interpretation of the labour market.Keywords: Overeducation, regional variation, mismatch JEL classification: C29; I21; J24 Highlights: Overeducation reacts to educated labour supply excess and university enrolment levels  There is limited evidence that overeducation is driven by high returns to education  Overeducation is explained by migration-and sectoral composition of employment  Structural factors play a significant role in determining overeducation rates

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“…Finally, we attempt to establish the rela including the s there was no consistent evidence to suggest that being in a job that was either fully or partially aligned with the subjects studied on the degree programme increased earnings in any way 3 . In terms of course content / prestige, while vocationally orientated degrees or those well known to employers were associated with no wage premiums / penalties, respondents who had graduated from degree programmes that were considered prestigious earned 12 per cent reported in other studies; however, this is most likely explained by the fact that more.…”

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confidence: 95%

Labour market mismatch among UK graduates: An analysis using REFLEX data

McGuinness

Sloane

2011

Economics of Education Review

189

143

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu There is much disagreement in the literature over the extent to which graduates are mismatched in the labour market and the reasons for this. In this paper we utilise the Flexible Professional in the Knowledge Society (REFLEX) data set to cast light on these issues, based on data for UK graduates. REFLEX examines the labour market status of graduates five years after graduation and distinguishes between first and current job, vertical and horizontal mismatch, over/underqualification and over/underskilling as well as including a range of questions on the nature of work organisation and individual competences. We find substantial pay penalties for over-education for both sexes and for overskilling in the case of men only. When both education and skill mismatch variables are included together in the model only overskilling reduces job satisfaction consistently for both sexes. Using job attributes data it appears that the lower wages of the overqualified may in part simply represent a compensating wage differential for positive job attributes, while for men at least there are real costs to being overskilled. Terms of use: Documents in D I S C U S S I O N P A P E R S E R I E SJEL Classification: J24, J31

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Overeducation Among Graduates: a cohort view

Cited by 204 publications

References 12 publications

Graduate returns, degree class premia and higher education expansion in the UK

Graduate returns, degree class premia and higher education expansion in the UK

Determinants of regional differences in rates of overeducation in Europe

Labour market mismatch among UK graduates: An analysis using REFLEX data

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