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This study aims to analyze the wage differentials of the majors in college education in Turkey, which is a country implementing an ongoing expansion in college education in recent years.

The study implements Mincreian wage regression using ordinary least squares, Heckman two-step estimation and quantile regression with sample selection correction by using household labor force surveys of TurkStat from the years 2014–2017.

The findings indicate one of the highest heterogeneity, close to 0.50 log points, between majors in the literature. The within-heterogeneity created by majors is highest among the graduates of social-behavioral sciences, law, biology, physics, mathematics, statistics, computer, engineering and manufacturing, as shown by a 90–10 difference, which is almost 700% for some of these majors. This study shows that the natural science and technical majors that are expected to be more productive and to be paid more fall behind in the wage distribution.

Estimation results show that natural science majors, except for subjects allied to medicine and engineering, are paid lower than law and service-sector-related majors. This indicates that the predictions of the skill-biased technical change hypothesis are not valid in the wage profiles in Turkey and that some majors supply more than the sectoral needs. This casts doubts on the effectiveness of the ongoing higher education expansion process of the country.

This study contributes to the literature on wage differentials of college majors, an area with limited studies. This is the first study analyzing wage differentials of the field of studies by correcting sample selection bias for the Turkish case.

The purpose of this study is to examine how doctoral students in the biological sciences understand their research skill development and explore potential racial/ethnic and gender inequalities in the scientific learning process.

Based on interviews with 87 doctoral students in the biological sciences, this study explores how doctoral students describe development of their research skills. More specifically, a constructivist grounded theory approach is employed to understand how doctoral students make meaning of their research skill development process and how that may vary by gender and race/ethnicity.

The findings reveal two emergent groups, “technicians” who focus on discrete tasks and data collection, and “interpreters” who combine technical expertise with attention to the larger scientific field. Although both groups are developing important skills, “interpreters” have a broader range of skills that support successful scholarly careers in science. Notably, white men are overrepresented among the “interpreters,” whereas white women and students from minoritized racial/ethnic groups are concentrated among the “technicians.”

While prior literature provides valuable insights into the inequalities across various aspects of doctoral socialization, scholars have rarely attended to examining inequalities in research skill development. This study provides new insights into the process of scientific learning in graduate school. Findings reveal that research skill development is not a uniform experience, and that doctoral education fosters different kinds of learning that vary by gender and race/ethnicity.

The purpose of this paper is to construct soft-skill indicators and measure their effects on graduates’ earnings using survey data from a sample of master’s degree graduates in France.

The authors use a quantile analysis to measure the effects of soft skills on income.

Certain soft skills explain a proportion of the earnings of recent master’s graduates. In particular, they influence the highest salaries and are important for the most highly skilled jobs.

Most of these soft skills are measured using declarative responses and may result from the feeling of having skills rather than actually possessing the skill. Moreover, this paper only looks at graduates who are employed, and a deficit in soft skills may be more penalising for job seekers.

While some young people take advantage of soft skills early and benefit from them in the labour market, it is likely that it is even more important for those less endowed with these skills to further develop them before entering the labour market.

This research illustrates the heterogeneous nature of the skills that young post-secondary graduates acquire. French diplomas do not seem to homogenise all of the skills that young people develop through their academic and professional experiences.

The purpose of this paper is to focus on the implications of the gender wage gap in Australia, before considering policy responses and their effectiveness at both the government and workplace levels.

The method concerns an extensive literature review and an examination of secondary data and reports relating to workplace gender equality and data.

While the gender wage gap in most OECD countries has decreased over time, in Australia the gap has increased, with the largest contributory factor identified as gender discrimination. Consequently it is proposed that current policy responses supporting women in the workplace appear to be ineffective in closing gender wage gaps.

Further research is recommended to identify the impact of gender equality policies on hiring decisions and whether such decisions include an unwillingness to hire or promote women. As findings were based on secondary data, it is recommended that future research include workplace surveys and case studies.

It is suggested that articles such as this one can assist in guiding public policy and workplace decisions on gender wage equality issues, in addition to providing human resource leaders with the information to make better decisions relating to gender equality.

This paper suggests that current policy responses may not only be ineffective in closing the gender wage gap, but may even exacerbate it as employers may avoid hiring women or continue to pay them less than men, due to costs incurred when attempting to meet policy directives.

This is Part 1 of the two special issues on the topic, “School to work transition around the world – the effect of the pandemic recession.” The first part focuses on the determinants of the school-to-work transition (STWT) and the implications of the COVID-19 pandemic on the young worker and their response to uncertain labor market conditions. The second issue will explore the country-specific experiences around the globe in tackling the problem of a smooth STWT. The purpose of this introductory article is to elaborate on the transition of young workers in the labor market. Discussion on the status of various indicators of the youth labor market (unemployment, underemployment and not in employment, education and training [NEET]) is also integrated. The determining factors of school-to-work transition (STWT) and the role of technical and vocational institutions and universities are analyzed. Moreover, the impact of COVID-19 on the labor market is also evaluated. After the pandemic, there was a dreadful change in the job market; this study dives into those diverse factors and carves out the multiple impacts on youth unemployment.

The study analyses relevant literature on STWT, NEET and COVID-19 implications for the labor market, based on the other papers in this special issue. Using the review method, the authors identified similar research articles and reports which helped in strengthening the study’s argument. The primary focus of the study was on the smooth transition of young workers in the labor market and the impact of the pandemic on youth unemployment. Hence, literature supported the authors in giving the justifications from various economies and societies.

The paper finds that youth worldwide have suffered from the repercussions of COVID-19, especially in their early career (STWT). Skill mismatch, underemployment, job losses, salary cut downs, health issues, vocational education importance, vulnerable employment, etc. were some of the significant impacts the authors identified by analyzing the various reports and papers. Furthermore, this paper also discusses the role of active labor market policies and hiring incentives for promoting youth employment.

The paper finds that the times ahead are challenging ones. There is a dearth of productive job opportunities due to slow economic growth. The unemployment rate among youth and adults is high, and labor markets have become more competitive. The young generation is now left with no choice but to upgrade and improve their skill set or some other expertise. On the one hand, technical and vocational education and training (TVET) and universities need to enhance their marketable knowledge and skills, and on the other hand, there is a need for active labor market policies to encourage their participation in the labor markets.

This paper strongly contributes to highlighting the professional and societal hit backs faced due to the aftermath of COVID-19. The study summarizes the specific details of STWT and employment issues faced by youth in various parts of the world.

To consider aspects of a theory of systemic construction by discussing two concepts which will assist in our understanding of the surrounding world which it is considered is made of both systemic and non‐systemic entities.

Considers how these entities (metasystem, network, transitron etc.) can be conceived and defined. Systemic frames notions are presented and examples of systems given. Discusses the historic use of the word “system” and systemic thinking and its varieties.

Discovered that on the basis of these concepts, an understanding of the surrounding world can be achieved which is not homogeneous but made of both systemic and non‐systemic entities. These can change when certain systemic properties are reached as well as in their specific degrees in their limitations and paradoxes.

Introduces an original approach to the life support system by proposing concepts that are discussed and defined and that will provide cyberneticians and systemists with a revised view of systemic thinking.

This study aims to analyse the efficiency of public higher education institutions (HEIs) through teaching and learning (T&L), research and technology (R&T) and social responsibility (SR) activities. It also aims to assess the external factors influencing the efficiency of T&L, R&T and SR, and influence of this efficiency on sustainable regional economic growth and innovation intensity.

The empirical approach is based on a two-step data envelopment analysis to compare the efficiency of 23 Portuguese public HEIs, using a Tobit regression, to assess the influence of the factors affecting HEI efficiency which in turn affects regional sustainability and innovation.

The results lead to the following conclusions: HEIs with better SR efficiency are situated in large urban centres; an insular location is positively associated with HEIs’ T&L and SR efficiency; HEIs’ T&L and SR efficiency positively influence regional gross domestic product (GDP); and HEIs’ R&T efficiency positively influences R&D in regional GDP.

This study offers implications in the domain of sustainable regional growth. The study recommends that the policies of HEIs should concentrate on developing activities that meet the needs of the region. It also emphasizes the need to invest in recruitment of qualified lecturers and researchers, and creation of relevant PhD positions. The study also emphasizes the need for government actions to consider the most disadvantaged regions and create infrastructure to attract new companies and people.

This study contributes to the existing literature on the efficiency of HEIs by considering the efficiency of not only T&L and R&T but also SR. It also analyses the influencers of both HEIs’ efficiency and regional development.

The aim of the research is to estimate the level of the early career gender wage gap in Russia, its evolution during the early stages of a career, gender segregation and discrimination among university graduates, and to identify factors which explain early career gender differences in pay. Special emphasis is placed on assessing the contribution of horizontal segregation (inequal gender distribution in fields of studies and industries of employment) to early-career gender inequality.

The study is based on a comprehensive and nationally representative survey of university graduates, carried out by Russian Federal State Statistics Service in 2016 (VTR Rosstat). The authors use Mincer OLS regressions for the analysis of the determinants of gender differences in pay. To explain the factors which form the gender gap, the authors use the Oaxaca-Blinder and Neumark gender gap decompositions, including detailed wage gap decompositions and decompositions by fields of study. For the analysis of differences in gender gap across wage distribution, quantile regressions and quantile decompositions based on recentered influence functions (RIFs) are used.

The study found significant gender differences in the early-career salaries of university graduates. Regression analysis confirms the presence of a 20% early-career gender wage gap. This gender wage gap is to a great extent can be explained by horizontal segregation: women are concentrated in fields of study and industries which are relatively low paid. More than half of the gender gap remains unexplained. The analysis of the evolution of the gender wage gap shows that it appears right after graduation and increases over time. A quantile decomposition reveals that, in low paid jobs, females experience less gender inequality than in better paid jobs.

The analysis has some important policy implications. Previously, gender equality policies were mainly related to the elimination of gender discrimination at work, including positive discrimination programs in a selection of candidates to job openings and programs of promotion; programs which ease women labour force participation through flexible jobs; programs of human capital accumulation, which implied gender equality in access to higher education and encouraged women to get higher education, which was especially relevant for many developing countries. The analysis of Russia, a country with gender equality in access to higher education, shows that the early career gender gap exists right after graduation, and the main explanatory factor is gender segregation by field of study and industry, in other words, the gender wage gap to a high extent is related to self-selection of women in low-paid fields of study. To address this, new policies related to gender inequality in choice of fields of studies are needed.

It has been frequently stated that gender inequality appears either due to inequality in access to higher education or after maternity leave. Using large nationally representative dataset on university graduates, we show that gender equality in education does not necessarily lead to gender equality in the labour market. Unlike many studies, we show that the gender gap in Russia appears not after maternity leave and due to marital decisions of women, but in the earliest stages of their career, right after graduation, due to horizontal segregation (selection of women in relatively low-paid fields of study and consequently industries).

The term STEM often remains an undifferentiated category, especially at the graduate level. Conceptualizing STEM as a monolithic category, rather than as a combination of distinct fields, prevents researchers from understanding and documenting the full range of persistent inequality within scientific disciplines at the graduate level and throughout the lifespan. The purpose of this paper is to address two oversights prior to degree completion within the context of the USA by asking two specific questions: To what extent is gender associated with choice of discipline within STEM graduate education? In the USA, do gender differences in STEM fields depend on citizenship status?

Using data from the 2015 International STEM Graduate Student in the US Survey, this study employs multinomial logistic regression analyses and presents predicted probabilities to assess differences of enrollment in STEM fields by gender and citizenship status.

Results show that domestic women were less likely to enroll in computer sciences and engineering when compared to domestic men. However, in contrast to domestic students, there were no gender differences among international students’ enrollment in engineering.

This paper shows the importance and complexity of how gender intersects with citizenship status in enrollment patterns in STEM graduate fields. The survey included the top 10 universities in the USA based on the total enrollment of international students, and it is unclear if there exists differences in these selected students and schools when compared to students at colleges and universities that enroll less international graduate students.

The author makes the case to disaggregate STEM to better assess how specific fields can be modified to attract graduate students worldwide. This paper accentuates the significance of gender and citizenship status for understanding differences in choice of discipline among graduate students in STEM.

The aim is to assess how a policy of tertiary education for all affects the shape of the unconditional earnings distribution.

The paper discusses the quantile-regression literature looking at the link between education and wage inequality, also proving new evidence based on unconditional quantile regressions.

The findings support the idea that a policy of tertiary education for all increases the overall level of wage inequality.

The research has implications for public policy and administration. Among the limitations, the paper does not deal with distributional aspects related to other outcomes (e.g. health outcomes) of the policy of interest.

The analysis highlights a series of potential government interventions aimed at reducing the wage-inequality externalities of the policy of interest.

A policy of tertiary education for all, by itself, is not useful to fight wage inequality.

This paper belongs to the small group of studies using unconditional quantile regressions to study the link between education and wage inequality. It is the first study specifically looking at the distributional effects of a policy of tertiary education for all.