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Published in: Social Indicators Research 1/2022

05-03-2022 | Original Research

The Impact of Overeducation on Wages of Recent Economic Sciences Graduates

Authors: Mariana Olga De Santis, María Cecilia Gáname, Pedro Esteban Moncarz

Published in: Social Indicators Research | Issue 1/2022

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Abstract

According to human capital theory, wages are determined by workers' productivity which, in its crudest form, implies that return to education does not depend on how workers' skills are used. However, after controlling for other differences, the empirical evidence shows that workers with identical education are paid differently. The literature evidences that young people are more likely to experience a mismatch between their formal education and the one required for their jobs. While there is no consensus on the reasons for the mismatch phenomenon, one consequence is clear, in terms of wages overeducation means a penalty. Our evidence shows that overeducated graduates of the Facultad de Ciencias Económicas of the Universidad Nacional de Córdoba suffer a wage penalty compared to those working in a job that requires a university degree. The results are robust to different specifications and the use of alternative estimators. Even though is not statistically significant, the penalty of a severe level of overeducation is higher than one for a mild level of overeducation; having had work experience while studying at university helps to reduce the cost of overeducation; women exhibit a similar penalty to men. While on average overeducation means a wage penalty, there is great heterogeneity among overeducated graduates, with those at the top end of the wage distribution experiencing a much lower penalty, or even a premium in some cases. Finally, while in the case of overeducation we find statistically significant effects, the same is not true of the horizontal mismatch in terms of knowledge.

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Footnotes
1
We also worked with an additional variable looking at the degree of match between the skills acquired in university and the required by the job, but it proved to be not significant in the econometric analysis.
 
2
Interestingly, in a recent study, Delaney et al. (2020) look at the relationship between changes in the composition of educational attainment and overeducation rates among new labour market entrants holding post-secondary and tertiary qualifications for 30 European countries over the period 2000–2016, finding that despite the significant increases in the percentage of young people with tertiary level of education, overeducation among new tertiary graduates fell, with some of the greatest declines occurred in the countries experiencing the most significant expansion in tertiary education.
 
3
Authors take into account the assignment theory in order to analyse the impact of such phenomena on wages.
 
4
Also, workers are asked to answer about the field of education that is most adequate for their jobs by delimiting the responses to these categories: only the own field of education, the own or related field of education, a completely different field of education, for the job there is no specific field required, and for the job there is not exist a specific field yet.
 
5
The WA method requires that individuals answer about the full title of their occupation and describe the main tasks and duties in their job.
 
6
Amenity/constraint-related reasons comprise those related to family, job location, and working conditions while career-oriented reasons include, for instance, pay and promotion opportunities or a change in career interests.
 
7
The FCE is located at the capital of the Province of Córdoba; but an important number of students come from the provinces of Catamarca, La Rioja, Santiago del Estero, Tucumán, Salta and Jujuy. Historically, the UNC has been the destiny of students coming from neighbouring countries, especially Bolivia, Paraguay and Peru. Recently there has been an important influx of students from Brazil and Venezuela.
 
8
While the meaning of over/under-education is quite well established in the literature, with their measurement depending on the information available to the researcher, the mismatch in terms of skills is a more elusive concept. In the literature we can find, at least, two approaches. One that looks at the skills in terms of the formal knowledge the person acquired at the school, while the second approach tries to identify the role of innate or acquired abilities. Among the first approach we have the aforementioned works of Allen & van der Velden (2001), Deželan & Hafner (2014), Zhu (2014), and Sellami et al. (2017), all of whom look at the mismatch between the field of study or the knowledge acquired in school and that required by the job, Deželan & Hafner (2014) and Sellami et al. (2017) refer to this mismatch as horizontal. Examples of the second approach are Badillo-Amador & Vila (2013) and Mavromaras et al. (2013), both looking at to what extent a person uses in the job his/her personal capabilities and abilities, which are not necessarily derived and/or related to the person's formal education.
 
9
Examples of other studies using a self-declared status are Battu et al. (1999), Dolton & Vignoles (2000), Ordine & Rose (2015), and Turmo-Garuz et al. (2019). Kler (2005) makes a comparison of the other two definitions using data of Australian university graduates. Capsada-Munsech (2019) provides evidence on the variation across overeducation measurements using REFLEX/HEGESCO and EULFS datasets. Verhaest & Omey (2010) analyse the determinants of overeducation among Flemish school leavers in their first job using three alternative ways of measuring overeducation, on the basis of job analysis, self-assessments and realised matches.
 
10
Even when it is not possible to make a direct comparison, these figures are within the range found in the literature on the topic.
 
11
There were 24 possible intervals, the first one corresponded to those who declared an income of less than A$3000 a month, while the last one represented an income of A$25,000 or more. The remaining intervals were defined using an A$1000 range.
 
12
For the lowest interval we use the upper limit of it, while for the highest interval we use its lower limit.
 
13
As we are dealing with university graduates, undereducation is not a possible status unless a person declares his/her job requires postgraduate studies. Even when in a very few cases people have declared to be in such situation, we choose to consider them as correctly matched.
 
14
Mavromaras et al. (2013) do not evidence a significant effect of the non-single status on wages. Alternatively, Di Pietro & Urwin (2006) explore the effects of more family contexts and find, for example, that having a child impacts positively on wages.
 
15
Also Dolton & Silles (2008) evidence that individuals that work in firms of a medium size obtain a higher wage.
 
16
Also, we run our different models including other control variables, such as knowledge of foreign language and of software packages, sector of activity, having people economically dependent, average grade at university, and the degree obtained. In all cases we did not find significant estimates, and since its exclusion did not affect the results for the remaining variables here reported, we choose to exclude them with the aim of simplicity and easy of presentation. These results are available upon request.
 
17
Gaeta et al. (2021) propose a heteroscedasticity-based instrumental variable estimation approach to deal with the potential bias from the use of cross-section data. Applying the estimator to a sample of Italian PhD holders, the results show that previous studies provided slightly upward estimates of the impact of vertical mismatch on wages. Alternatively, to deal with the bias arising from the use of cross-section data, Park (2021) uses a propensity score matching estimator on a sample of Korean doctorate holders.
 
18
Di Pietro & Urwin (2006) point out that according to the assignment theory of overeducation, the concepts of educational and skills mismatch are closely related, as workers report that their educational level is inadequate for the job they occupy due to a poor match between the knowledge and skills acquired during their years of study and those needed to actually perform their job. Thus, when controlling for both phenomena, rather than taking into account only the effect of overeducation, a reduction in the magnitude of the effect associated with overeducation would mean that the assignment theory seems an accurate explanation of the observed wage effects of educational mismatch. In contrast, if educational and skill mismatches reflect different phenomena, controlling for the latter should have little impact on the effect associated with the former.
 
19
As pointed out by Zhu (2014), the method of Li & Racine is appropriate when most explanatory variables are discrete, as it is in our case.
 
20
An alternative approach, as in Ordine & Rose (2015), would be the estimation of a quintile regression model, which would also provide us with different estimates along the wage distribution.
 
21
Among the overeducated graduates whose income put them at the fourth quartile, around one third enjoys a wage premium.
 
22
More recently, these initiatives have started to take place in some of the largest public universities in Argentina, especially in areas of study related to applied sciences. Within a broader policy of follow-up of its graduates, the FCE-UNC has also started to work on this issue.
 
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Metadata
Title
The Impact of Overeducation on Wages of Recent Economic Sciences Graduates
Authors
Mariana Olga De Santis
María Cecilia Gáname
Pedro Esteban Moncarz
Publication date
05-03-2022
Publisher
Springer Netherlands
Published in
Social Indicators Research / Issue 1/2022
Print ISSN: 0303-8300
Electronic ISSN: 1573-0921
DOI
https://doi.org/10.1007/s11205-022-02905-w

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