published online in: Education Economics, :6 November 2023
While the literature on the incidence and wage effects of over-education is substantial, specific results for doctoral graduates are surprisingly scarce. This article aims to fill this gap, not only by measuring the prevalence of over-educated PhD holders in Europe (i.e. in EU Member States and the UK), but also by estimating their wage penalty relative to what they could have earned in a job corresponding to their level of education. Using a unique pan-European dataset, we rely on two alternative measures of over-education and control stepwise for four groups of covariates (i.e. socio-demographic characteristics, skills needed for the job, other job-specific characteristics and motivations for employment) in order to interpret the over-education wage penalty in light of theoretical models.
Depending on the specification adopted, we find that over-educated PhD holders face a wage penalty ranging from 25 to 13.5% with respect to their well-matched counterparts. Our results also show that the over-education wage penalty is significantly higher for PhD holders who are both over-educated and over-skilled and especially for those who are both over-educated and dissatisfied with their jobs. Finally, unconditional quantile regressions highlight that the over-education wage penalty among PhD holders increases greatly along the wage distribution.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.