We are interested in estimating the likelihood on the perception of being over-skilled and both over-skilled and over-qualified, i.e., mixed mismatched, of employees, in relation to what is required to do at their workplace and depending on the level of education. Using data from the first European Skills Survey completed by 48,876 adult employees across all the European Union's 28 Member States, we specify a multilevel logistic model following the general form of the generalized linear mixed model (GLMM) in order to disentangle the differences of both over-skilling and mixed mismatch perception considering two sources of variation: individual and country effects. Preliminary results show that the gender, i.e., being woman, having a semi or elementary education and temporary employment agency contract increase the log-odds of both being over-skilled and mixed mismatched perception. Further, random-effect estimate indicates that the source of variability at the level country plays a non-negligible role in interpreting results.

Workshop on Education Economics

CHIES, LAURA;GRAZIOSI, GRAZIA
2016

Abstract

We are interested in estimating the likelihood on the perception of being over-skilled and both over-skilled and over-qualified, i.e., mixed mismatched, of employees, in relation to what is required to do at their workplace and depending on the level of education. Using data from the first European Skills Survey completed by 48,876 adult employees across all the European Union's 28 Member States, we specify a multilevel logistic model following the general form of the generalized linear mixed model (GLMM) in order to disentangle the differences of both over-skilling and mixed mismatch perception considering two sources of variation: individual and country effects. Preliminary results show that the gender, i.e., being woman, having a semi or elementary education and temporary employment agency contract increase the log-odds of both being over-skilled and mixed mismatched perception. Further, random-effect estimate indicates that the source of variability at the level country plays a non-negligible role in interpreting results.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2895422
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