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This paper extends the literature on the consequences of over-education, in particular quit outcomes. It is the first study that explicitly tests the impact of job satisfaction and on-the-job training for workers in educational mismatched jobs and on quit behavior using a longitudinal data set. Accounting for unobserved heterogeneity and endogeneity, the dynamic analytical framework examines labor market outcomes for job-mismatched workers. We find that over-education alone, or accompanied by skill under-utilization in combination with lower job satisfaction, increases the incidences of job quitting. Opportunities for training facilitate the retention of initially job-mismatched workers. These results have implications for interpreting mismatch data, retention, and resource allocation.

In this paper we systematically evaluate the impact of using the alternative methods conventionally used in the international literature on the measured incidence of educational mismatch and its earnings effects. We use a rich Australian longitudinal data set for a controlled group of full-time employed workers. Using panel data estimation, we address individual heterogeneity and measurement error, which are important in educational mismatch analysis. We show that alternative methods of measurement result in a range of estimates, with the Mode measure providing the most stable results across instrumental variables (IV) selections in panel fixed effects instrumental variables (FEIV) estimations. Based on the Mode measure, the incidence rate of over-education is 32.3%. The earnings penalty for each year of over-education is 2.5%, which is larger than 0.6% in fixed effect estimation and also larger than 1.9% in OLS estimations.

We provide first evidence of the impact of over-education, among natives and immigrants, on firm-level productivity and wages. We use Belgian linked panel data and rely on the methodology from Hellerstein et al. (1999) to estimate ORU (over-, required, and under-education) equations aggregated at the firm level. Our results show that the over-education wage premium is higher for natives than for immigrants. However, since the differential in productivity gains associated with over-education between natives and immigrants outweighs the corresponding wage premium differential, we conclude - based on OLS and dynamic GMM-SYS estimates - that over-educated native workers are in fact underpaid to a greater extent than their over-educated immigrant counterparts. This conclusion is refined by sensitivity analyses, when testing the role of immigrants' background (e.g. region of birth, immigrant generation, age at arrival in the host country, tenure).

Despite evidence that immigrants experience a higher incidence of over-education, relatively few studies have considered the labour market outcomes of over-education for immigrants. Using longitudinal data and penalized quantile panel regression, we inspect the earnings effects of job mismatches for immigrants in Australia. This first application of the method to this question addresses both individual and distributional heterogeneity. Results confirm divergent effects across the earnings distribution. Immigrants from non-English speaking countries experience lower earnings returns and a substantial earnings penalty of up to 25 percent from educational mismatched employment. However, in contrast to conventional findings of a penalty based on regression at the mean, at the highest earnings quantile, both Australian-born and immigrants from non-English speaking countries with a host country qualification receive earnings premiums of 2.7 and 11 percent, respectively, from years of over-education. We discuss the policy implications of this new result.

In this article, we investigate the role of several types of educational mismatch in explaining labour market transitions of workers with secondary and higher education. We focus on transitions from employment to unemployment and on job changes, to assess whether mismatch is a temporary or a permanent phenomenon. In the first case, as suggested by matching models, mismatch will be eliminated through job-to-job transitions. In the second case, it might be permanent and caused by employment discontinuity and deskilling processes. By using information from the Italian Survey of Professions (ICP) and the Survey on Labour Participation and Unemployment (PLUS), we calculate three measures of vertical mismatch. This allows comparing the outcomes from self-reported and revealed match measures in order to assess the robustness of the results. In addition, we use a measure of horizontal mismatch and evaluated the effect of Routine Bias Technical change (RBTC) in terms of unemployment risk, through a Routine Task Index (RTI) calculated on Italian data. Results indicate that mismatched workers are at risk of long-term unemployment. More specifically, among workers with higher education, the risk is due to mismatches in the field of studies whereas for secondary educated workers, over-education is the main cause of unemployment risk. The effect of the RTI is often not significant. This adds evidence to the problem of skill gap in Italy, as educational choices are not aligned to market needs. In this respect, both demand side and supply side policies are needed to allow firms to better use this human capital.

This paper examines the relationship between immigration and over-education, taking advantage of access to rich matched employer-employee data for the Belgian private sector for the period 1999-2010. Covering more than 1.2 million workers, the data enable the authors to: i) measure over-education with higher precision, ii) examine the heterogeneous effects of detailed countries of birth, and iii) test the role of key moderating factors. More precisely, this paper is not only the first to investigate the effect of citizenship acquisition and workers' tenure on the nexus between immigration and over-education, but also one of the few to study the moderating roles of gender and education for detailed categories of immigrants. With ordered probit estimates, the authors highlight that immigrant workers are much more likely to be over-educated than their native counterparts, especially when the former originate from the Maghreb or Asia. Over-education also appears to be particularly critical among higher-educated immigrants. Gender-based differences in immigrants' penalties, in contrast, are found to be quite modest overall. Results further show that tenure has a strong moderating effect on the likelihood for immigrants born in developing countries to be over-educated and that citizenship acquisition is also associated with substantially improved job matches.

Whilst migration has become a structural feature of most European countries, the integration of foreigners in the labour market continues to raise concerns. Evidence across countries shows that migrants are more often over-educated than natives. Over the last years, scholarship has intended to capture the effect of informal networks on migrants’ over-education. Interestingly, no study has looked into the Italian case, yet a country for which the effect of networks on education-occupation mismatch is well documented. This article has two objectives: it assesses the extent to which over-education affects migrants and it evaluates the role informal networks play in producing it. We find that foreigners are more over-educated than natives but that the role of networks is consistent across the two groups. Empirical evidence is drawn from the application of quantitative and counter-factual methods to PLUS 2018 – Participation, Labour, Unemployment Survey.

This article examines the labour market outcomes of immigrants in Spain, a country that has become a migration destination only since the end of the 1990s. Differentiating between first and second generation of immigrant descent, we compare the labour market involvement of the main ethnic groups with the majority group. One particular focus is to understand which minorities have been hit the hardest by the Great Recession. To this end, we use data from the European Union Labour Force Survey for the years 2008 and 2014, and more specifically the two ad-hoc modules on the labour market situation of migrants. Analysing men and women separately, we run a set of multivariate logistic regression models to control for compositional differences. In this way, we examine ethnic gaps not only in labour force participation but also in the degree of underutilisation of human capital, measured as workers’ level of over-education as well as the incidence of involuntary part-time employment. Our results show that while most origin groups do not show significantly lower employment participation than the majority group, the employment quality of immigrants in terms of involuntary part-time work and over-education is substantially worse, especially since the crisis. This article is part of the issue “The Race for Highly-Skilled Workers”, edited by Neli Demireva (University of Essex, UK) and Ivana Fellini (University of Milano Bicocca, Italy).

Today, as India treads the path of becoming a knowledge economy, we face a paradox of intensifying skill shortages coupled with unemployment or underemployment among highly educated workers. While a shortage of skills (or under-education) is definitely a cause of concern, surplus education (or over-education) can also lead to underutilization of skills and further lower demand for low skill workers. Given this scenario, the paper attempts to measure the incidence and extent of skill/education mismatch and analyse the economic returns/cost to over/under education in one of India's largest labour intensive industries: Textiles and Clothing (T&C). The study is based on the 68th round of NSS Employment and Unemployment Survey estimates. Using the over-education/required education/undereducation (ORU) models on a cross section dataset of individuals employed (as a regular salaried/ wage employee or as casual wage labour) in India's T&C industry, we find that the overall educational mismatch ratio during 2011-12 was to the tune of 67.61%. Further, results indicate that while returns to surplus education is positive, it is less in magnitude as compared to returns to required education, suggesting underutilization of excess education. There's also a significant wage penalty associated with each deficit year of education.

Does over-education assist or hinder occupational advancement? Career mobility theory hypothesizes that over-education leads to a higher level of occupational advancement and wage growth over time, with mixed international empirical evidence. This paper re-tests career mobility theory directly using a rich Australian longitudinal data set. A dynamic random effects probit model is employed to examine upward occupational mobility, considering two-digit occupational rank advancement and wage growth over three-year intervals. The 'Household, Income and Labour Dynamics in Australia' data across nine years are employed, and a Mundlak correction model is adopted to adjust for unobserved heterogeneity effects and potential endogeneity, both of which are important to over-education analysis. Contrary to career theory, the results point to job mismatch as an economic concern rather than a passing phase, regardless of whether or not workers are skill-matched. Results further show the importance of adjusting for endogeneity.

This paper studies occupational licensing as a possible cause of poor labour market outcomes among economic migrants. The analysis uses panel data from Australia, which implements one of the world’s largest selective immigration programmes, and applies both cross-sectional and panel estimators. Licensing emerges as acting as an additional selection hurdle, mostly improving wages and reducing over-education and occupational downgrade of those working in licensed jobs. However, not every migrant continues working in a licensed occupation after settlement. In this case there is substantial skill wastage. These results do not change over time, after employers observe migrants’ productivity and migrants familiarise with the workings of the labour market, supporting the case for tighter coordination between employment and immigration policies to address the under-use of migrants’ human capital.

This paper deals with age and educational dimensions of the labour supply in Russia and explores two time periods: from 2000 to 2015 (retrospective), and the next 15 years (prospective). For our analysis we exploit the micro-census (2015) data and all LFS waves covering the retrospective period. Combining demographic projections with expected employment rates and data on educational achievement we forecast the employment composition up to 2030. If recent past changes in both age and education have contributed to economic growth, their effect is likely to be negative in the next 15 years. These two dimensions are directly associated with such challenges as ageing and over-education of the labour force. Russia is not unique here, but it is more exposed to both dimensions than are many other countries due to its demographic and educational developments. The paper concludes with several tentative policies that could ease, although not cure, the problem.

The recent literature on overeducation has provided divergent results on whether or not overeducation bears an earnings penalty. In addition, few studies have considered overeducation among immigrants. This paper uses panel data analyses to investigate the match between education and occupation and resulting earnings effects for immigrants from English Speaking, and Non-English Speaking, Backgrounds relative to the native-born population in Australia. Based on nine years of longitudinal data, the panel approach addresses individual heterogeneity effects (motivation, ability, and compensating differentials) that are crucial in overeducation analysis. First, we find that immigrants have significantly higher incidence rates of overeducation than the native-born. This probability increases, rather than diminishes, once we control for unobserved correlated effects. Second, based on panel fixed effects analyses there is no penalty for overeducation for ESB immigrants. However, NESB immigrants receive a lower return to required and overeducation compared to the other groups after controlling for individual heterogeneity.

This paper studies whether migration policy, besides managing a country's population size, is a suitable tool to influence immigrants' labour market outcomes. To do so, it uses a migration policy change that occurred in Australia in the late 1990s and data collected by the Longitudinal Survey of Migrants to Australia. The statistical techniques employed in the empirical analysis consistently reveal that the policy change has no detectable impact on the employment rate, wages, over-education, occupational downgrading, and (self-reported) use of skills for male immigrants, who account for about 75% of the sample, while they have a modest short-term positive impact on female immigrants. These results support the view that migration policy is an ineffective policy tool to influence migrants' labour market outcomes. However, the economic relevance of making an effective use of migrants' skills provides scope for close coordination between immigration and employment policy to ensure that efforts in attracting foreign talent are not dissipated by labour market frictions and other inefficiencies.

Mismatch of educational skills in the labor market is an emerging topic in the field of labor economics, partly due to its link to labor productivity. This is the first application of this question to New Zealand data. In this paper we examine the incidence of educational mismatch and its earnings effects. Using micro data drawn from the Household Labour Force Survey and the New Zealand Income Supplement (HLFS/NZIS) for the years 2004 to 2007, we find a noteworthy incidence of both over- and under-education. We also find that earnings returns to required years of education exceed the returns with over- and under-education, with a greater earnings penalty associated with under-education. We test hypotheses on three alternative models of educational mismatch. As the New Zealand labor market exhibits assignment-type matching, we argue that the higher than average public expenditure on education serves to improve economic performance. We further examine results stratified by age group and for the native-born and immigrants, and find that our results are robust across these groups.

This paper assesses the extent to which social contacts and ethnic concentration affect the education-occupation mismatch of natives and immigrants. Using Australian panel data and employing a dynamic random effects probit model, we show that social capital exacerbates the incidence of over-education, particularly for females. Furthermore, for the foreign-born, ethnic concentration significantly increases the incidence of over-education. Using an alternative index, we also show that social participation, friends and support and ethnic concentration are the main contributors in generating a mismatch, while reciprocity and trust does not seem to have any effect on over-education for both, immigrants and natives. Finally, we show that social networks are more beneficial for the relatively better educated.

This study considers the relationship between job search and over-education amongst recent Australian bachelor degree graduates. Using a panel estimation method, we find that using universities' career offices is associated with a reduced probability of over-education (between 3% and 8%) vis-à-vis responding to a job advertisement or searching through networking. These results are robust to alternative specifications and estimation techniques. As over-education is characterised by high persistence, the role of university career services and fairs in screening and matching the skills of graduands with the needs of employers at the entry point into the labour market cannot be overlooked.

This paper analyzes the effects of the minimum wage on wage inequality, relative employment and over-education. We show that over-education can be generated endogenously and that an increase in the minimum wage can raise both total and low-skill employment, and produce a fall in inequality. Evidence from the US suggests that these theoretical results are empirically relevant. The over-education rate has been increasing and our regression analysis suggests that the decrease in the minimum wage may have led to a deterioration of the employment and relative wage of low-skill workers.

This paper argues that assortative matching may explain over-education. Education determines individuals' income and, due to the presence of assortative matching, the quality of the partner, who can be a colleague or a spouse. Thus an individual acquires some education to improve the expected partner's quality. But since everybody does that, the partner's quality does not increase and over-education emerges. Tax progression to correct over-education has ambiguous effects on the educational incentives according to the individuals' ability. We test the model using the British Household Panel Survey. The empirical results support our theoretical findings.

This paper examines the persistence of under-employment amongst UK higher education graduates. For the cohort of individuals who graduated in 2002/3, micro-data collected by the Higher Education Statistical Agency, are used to calculate the rates of non-graduate job employment 6 months and 42 months after graduation. A logit regression analysis suggests the underemployment is not a short-term phenomenon and is systematically related to a set of observable characteristics. It is also found that under-employment 6 months after graduation is positively related to under-employment 42 months after graduation, which is consistent with the view that the nature of the first job after graduation is important in terms of occupational attainment later in the life-cycle.

Using an efficiency wage model we show that over-education can be generated endogenously and that an increase in the minimum wage can raise both total and low-skill employment, and produce a fall in inequality. Evidence from the US suggests that these theoretical results are empirically relevant. The over-education rate has been increasing and our regression analysis suggests that the decrease in the minimum wage may have led to a deterioration of the employment and relative wage of low-skill workers.

Wage Dispersion and Efficiency. It is often assumed that markets generate efficient allocations, but these are not necessarily fair. The widening of wage differentials that is currently observed is interpreted in this manner: Skill-biased technological progress increases demand for skilled work and makes unskilled labor redundant. Increasing wage dispersion is seen as a market response to an increased scarcity of skilled workers. While wage differentials are widening, we observe at the same time increasing over-qualification in all segments of the labor market. This suggests an increasing abundance of skilled workers, rather than shortage. This paper suggest an explanation for the joint occurrence of wage dispersion and over-qualification. Wage dispersion is brought about by the wage-setting policies of firms that respond to an increased importance of skill differences among workers. The widening wage differentials render the acquisition of skills more rewarding. As a result, wage dispersion and over-qualification increase together. Both are inefficient. Policies that bring wage differentials closer to compensating differentials will increase both efficiency and fairness, quite in line with the classical position taken by Adam Smith on these issues., Marktergebnisse, so wird oft vermutet, seien effizient, aber nicht unbedingt gerecht. Die gegenwärtig zu beobachtende Ausweitung der Lohndifferentiale zwischen verschiedenen Tätigkeiten wird in diesem Sinne als effizient, wenngleich auch als möglicherweise ungerecht gedeutet. Der technische Fortschritt führe eben dazu, daß anspruchsvolle Arbeit zunehmend knapp und weniger anspruchsvolle Arbeit zunehmend redundant werde. Die zunehmende Lohnspreizung wird als Marktkonsequenz dieser Entwicklung gesehen. Dieser Deutung steht die ebenfalls zu beobachtende Zunahme der Überqualifikation in allen Arbeitsmarktsegmenten gegenüber, die eher auf eine Qualifikationsschwemme als auf eine Knappheit an Qualifikationen hindeutet. Dieser Beitrag liefert eine theoretische Deutung der Parallelentwicklung von Lohnspreizung und Überqualifikation. Die zunehmende Lohnspreizung ergibt sich aus dem Lohnsetzungsverhalten der Unternehmungen angesichts einer zunehmenden Bedeutung von Qualifikationsunterschieden bei den Arbeitskräften. Diese Entwicklung führt zum gleichzeitigen Auftreten von Überqualifikation und Lohnspreizung. Beide Entwicklungen sind allokativ nachteilig. Maßnahmen, die -- ganz im klassischen Sinne -- die Lohndifferentiale an kompensierende Differentiale heranführen dienen zugleich der Verbesserung der Effizienz und der Gerechtigkeit.

The existing literature on immigrant assimilation has highlighted the imperfect portability of human capital acquired by immigrants in their country of origin (Chiswick, 1978; Friedberg, 2000). This would explain the low levels of assimilation upon arrival in the new country, as well as the wide initial earnings gap. Recent studies (Chiswick and Miller, 2007 or Green, Kler and Leeves, 2007, among others) have dealt with this issue from the perspective of over-education. This study analyses the portability of immigrants' human capital into the Spanish job market according to their geographic origin. It also aims to compare the most notable empirical regularities found in the aforementioned studies with the situation in Spain. The results obtained indicate differing degrees of the transferability of human capital depending on geographic origin, as transferability is greater for countries that are highly developed or have a similar culture or language and lower for developing countries and those with more distant cultures. The evidence is relatively disparate for the two components of human capital as although it is particularly clear for schooling, it is less so for experience. The results also confirm that in Spain immigrants suffer from over-education, in both incidence and intensity, implying a higher relative wage penalty and a greater negative impact on immigrants from the second group of countries. As an immigrant's stay in Spain advances, a process of assimilation does exist, except for Asians and, in some circumstances, those from Sub-Saharan Africa, though the pace is very slow.

Catalonia's economy is characterized by linguistic diversity and provides a unique opportunity to measure the incidence of language proficiency on over-education, particularly, whether individuals with deficient language skills tend to acquire more formal skills or, on the contrary, become discouraged to attend school. Descriptive evidence suggests the latter, that individuals with better language knowledge are more likely to be over-educated. However, estimating a model that controls for individuals' socio-demographic characteristics reveals the opposite: better language knowledge decreases over-education. This effect, although robust to accounting for endogeneity of language knowledge and significant at the individual level, is mostly non-significant on average.

The expansion of higher education in the Western countries has been accompanied by a marked widening of wage differentials and increasing over-qualification. While the increase in wage differentials has been attributed to skill-biased technological change that made advanced skills scarce, this explanation does not fit well with the observed increase in over-qualification which suggests that advanced skills are in excess supply. By “Reder-competition” I refer to the simultaneous adjustment of wage offers and hiring standards in response to changing labor market conditions. I present a simple model of Reder competition that depicts wages as driven by labor heterogeneity, rather than scarcity. The mechanism may give rise to a simultaneous increase in wage differentials and over-qualification.

The unemployment rise in EU countries has been particularly strong for low-skilled workers. This observation has often been explained in terms of biased technical change and relative wage rigidities. More attention has been paid recently to an alternative mechanism, the crowding-out of low-skilled workers by over-qualified workers. The objective of this paper is both methodological and empirical. We construct a dynamic general equilibrium model with two types of jobs and two types of workers and with search unemployment. The model is calibrated and simulated to examine the interactions between the ?skill bias? and ?crowdingout? mechanisms. When such interactions are accounted for, the model reproduces quite well the observed unemployment changes.

The quality dimension of immigrant human capital has received little attention in the economic assimilation literature. The objective of this paper is to demonstrate how human capital acquired in different source countries may be adjusted according to its quality in the Canadian labor market. This is achieved by deriving quality-adjustment indices using data from the 2001 Canadian census. These indices are then used to examine the role of schooling quality in explaining differential returns to schooling and over-education rates by country-of-origin. The key finding is that accounting for schooling quality virtually eliminates native-immigrant gaps in returns to schooling and the incidence of over-education. The quality of human capital is important for understanding the economic integration of immigrants. JEL Codes F22; I2; J15; J31