Overeducation in the Labour Market
By S. McGuinness. 2006
930 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/f4166a48c47115742e436c091f136a904828fdb1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- S. McGuinness
- G. Quintini
- Dieter Verhaest
- F. Green
- J. Goldthorpe
- K. Pouliakas
- Paul Redmond
- J. Lindley
In Sociology and Political Science
- Thijs Bol
- Thomas A. DiPrete
- K. Rubenson
- Dieter Verhaest
- R. Velden
- Natalya M. Parfyonova
- H. G. van de Werfhorst
- G. Quintini
Citations in the corpus
- Assessing the Incidence and Wage Effects of Overskilling in the Australian Labour Market (2009, neutral): “…in the literature that any wage penalties associated with over-education arise principally because the specific requirements of jobs impose a productivity ceiling that limits the wages that can be (profitably) paid to those matched to these jobs (see McGuinness 2006 for a review of these studies).”
- An Analysis of Skill Mismatch Using Direct Measures of Skills (2011, background): “But trends are difficult to decipher from existing studies with McGuinness (2006) concluding that overeducation rates seem fairly stable over time, and Groot and Maasen van den Brink (2000) reporting that there is no indication that mismatches between education supplied and education required for…”
- The role of education in intergenerational social mobility: Problems from empirical research in sociology and some theoretical pointers from economics (2014, background): “And evidence has in fact of late accumulated of its persistence in both of these respects – evidence that has led to a much greater interest in job competition theory than it previously attracted (for reviews see McGuinness, 2006; Quintini, 2011).”
- Human Capital Theory (2014, background): “Not only in United Kingdom but also in many other countries including the United States, Germany, Holland, Spain, and Hong Kong, a considerable number of studies provided strong evidence for the overeducation phenomenon (see McGuinness, 2006, for a concise literature review of 33 studies).”
- Overeducation and the skills of UK graduates (2007, background): “Although overeducation has been prevalent, with up to 30% of graduates overeducated (see Sloane (2003) or McGuiness (2005) for recent surveys), the returns to higher education have not fallen over time (see Machin (1999) and Dearden et al.”
- Cross-country differences in graduate overeducation (2013, background): “A large number of studies indeed found that a substantial part of the working population in most developed countries works in jobs with requirements below their level of education (Groot and Maassen van den Brink, 2000; McGuinness, 2006).”
- How Useful is the Concept of Skills Mismatch? (2017, background): “Given that McGuinness (2006) has provided an extensive summary of the literature on overeducation up to 2006, we review the recent literature on each area of mismatch, focusing on published work from 2006-2016, to establish the existing evidence on skills mismatch and analyse whether the current…”
- Overqualification, Job Dissatisfaction, and Increasing Dispersion in the Returns to Graduate Education (2010, background): “Assignment theory (Sattinger, 1993), which recognises that there can be more or less close matches between workers and firms and is explicitly a theory of disequilibrium, provides a plausible and empirically supportable framework for understanding qualifications mismatch (McGuinness, 2006).”
- Overeducation and Mismatch in the Labor Market (2011, neutral): “̃ = − u(δr − δoDi + δu(1−Di)) + (δo + δu)(Si − S̃ i )(Di − D̃i) (11) and D̃i is the misclassified overschooling indicator. There are now two channels which affect our estimates in the presence of measurement error. First there is the bias channelled by u in ̃. This can attenuate the estimate, but a”
- Do Institutions Play a Role in Skilled Migration? The Case of Italy (2014, background): “…and innovation rates has acted as a powerful push factor for highly skilled workers to migrate towards regions where human capital is expected to be better rewarded (GROOT, 1996; MCGUINNESS, 2006).3 In recent years the literature has seen specific treatment of the determinants of skilled migration.”
- Overskilling, Job Insecurity and Career Mobility (2007, neutral): “Most of that research, however, has focused on either the incidence of, or financial returns to, overeducation (Groot 2 and van den Brink, 2000; McGuinness, 2006).”
- Overeducation at the Start of the Career: Stepping Stone or Trap? (2013, background): “This phenomenon suggests a less-than-optimal allocation of graduates over jobs and is potentially costly for society (Groot and Maassen van den Brink, 2000; McGuinness, 2006).”
- School-to-Work Linkages, Educational Mismatches, and Labor Market Outcomes (2019, background): “…studies find that in a vertical mismatch—workers having higher or lower education than the level required for their current job—individuals receive a reduced reward for mismatched schooling compared with required schooling (Korpi and Tahlin 2009; McGuinness 2006; Nordin, Persson, and Rooth 2010).”
- Job Mismatches and Labour Market Outcomes: Panel Evidence on University Graduates* (2013, neutral): “This is potentially a concern for studies of skill mismatch, given that existing evidence suggests that both overeducation and overskilling are relatively time-persistent states (McGuinness 2006).”
- Right for the Job: Over-Qualified or Under-Skilled? (2011, background): “Several researchers have argued that qualification mismatch may not reflect skill mismatch – i.e. a genuine discrepancy between one’s competences and those required by his/her job – but hide instead skill heterogeneity (Chevalier, 2003; and McGuinness, 2006).”
- The Impact of Educational Mismatch on Firm Productivity: Evidence from Linked Panel Data (2012, neutral): “It corresponds to sum of the years of over-education among young and older workers in firm j at time t, divided by the total number of workers employed in firm j at time t. Mathematically: tjtj m i tji m i tji tj tj olderOVERyoungOVERm OVER ,, 1 ,, 1 ,, , , __ 1* with: mj,t the total…”