Author(s)

Country

Period-Sample

Methodology

Result

Vahey (2000)

Canada

Cross-sectional survey (3000 respondents conducted face to face) in 1982

OLS

(+) R to OvEdu for M in jobs with HighEdu; Lower pay for HighEdu for M in jobs with low education.

For F, R to OvEdu and UnEdu are insignificant for all levels of required education.

Budría and Moro-Egido (2008)

Spain

1994-2001

OLS

Strong mismatch carries a pay penalty that ranges from 13% to 27%.

Quintano et al. (2008)

The University of Naples “Parthenope”

Random sampling by graduation year (1999, 2000, 2001, and 2002).

Probit regression analyses with selection

Prob (OvEd) significantly affected by M, HighEdu, channels used to enter the labour market, job location and job sector applied for. F, lower HighEdu achievers and graduates working in trade/sales or information systems sectors were more likely to be OvEdu than other subjects, whereas use of further education to enter the labour market decreased the probability of being over-educated. OvEdu workers were found to have a high probability of low earnings. OvEdu and low earnings induced workers to change jobs.

Cainarca and Sgobbi (2012)

Italy

2004-2006

Original data including over 3600 face-to-face interviews

OLS

UnEdu employees outnumber OvEdu ones and R to required education and OvEdu are lower than in other industrialised countries. Individual heterogeneous ability, as captured by individual skills, is a significant determinant of wage, although the inclusion of direct measures of required and provided skills do not substantially affect the estimated coefficients of the R to investment in education.

Murillo et al. (2012)

Spain

1995-2006

Spanish Wage Structure Survey (WSS)

ORU estimation

R to education have declined; the R associated with the job’s required education is greater than that corresponding to the worker’s actual schooling, and that the R on an additional year of attained education is positive but less than that of an additional year of required education.