The Effects of Over-Education on Earnings in the Graduate Labour Market
200 citations recorded by the source corpus.
This paper uses a new survey of graduates from one large civil university in the UK to examine the determinants of over-education and its subsequent impact on labour market earnings. Multiple measurements of over-education were collected to assess the effect of measurement error on the estimated pay penalty associated with over-education. Panel estimates suggest that the upward bias in standard OLS estimates is offset by an equal downward bias resulting from measurement error.
Subfields: Demography, Economics and Econometrics, Education
View Paper: https://www.semanticscholar.org/paper/715ffc080eb327c2701ff39253a1b2f5c3e53e03
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In Demography
In Economics and Econometrics
- S. McGuinness
- Peter J. Sloane
- John M Robst
- K. Pouliakas
- Paul Redmond
- R. Desjardins
- K. Rubenson
- J. Lindley
In Education
Citations in the corpus
- Overeducation and Mismatch in the Labor Market (2011, unknown): “Using a sample of almost 5,000 individuals who graduated from a higher education institution in the United Kingdom in 1985 or 1990, he finds that 10% of these individuals is apparently overschooled and 6% is genuinely overschooled.”
- Labour Market Mismatch Among UK Graduates: An Analysis Using Reflex Data (2011, background): “8 The competency fields are (1) mastery of own discipline (2) knowledge of other disciplines (3) analytical thinking (4) ability to acquire new knowledge (5) ability to negotiate (6) ability to perform under pressure (7) alertness to new opportunities (8) ability to coordinate activities (9) ability”
- Immigrant over-education: evidence from Denmark (2007, unknown): “Korpi and Tahlin 2006 ;L insley2005; Bohlmark 2003; Buchel and Mertens 2004; Dolton and Silles 2008 ).”
- An Analysis of Skill Mismatch Using Direct Measures of Skills (2011, unknown): “A closely related and often overlapping strand of studies focuses on alternative measures that are more closely tied to the concept of ‘skill mismatch’, namely ‘underskilling’ and ‘overskilling’, or alternatively ‘skill deficit’ and ‘skill surplus/skill underutilization’(see e.g., Krahn & Lowe, 1998”
- Education, College Major, and Job Match: Gender Differences in Reasons for Mismatch (2007, background): “For example, Dolton and Silles (2006) use one measure of overeducation to instrument for another measure of overeducation.”