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Education system stimulates the development of human capital and provides informative signaling allowing to differentiate productivity of individuals. If education system is efficient then higher levels of education usually associated with greater returns on labor market. To evaluate the efficiency of Russian education system we aim to estimate the effect of vocational education and different levels of higher education on wages.

We use data on 8,764 individuals in the years 2019–2021. Our statistical approach addresses two critical issues: nonrandom selection into employment and the endogeneity of education choice. To tackle these problems, we employed Heckman’s method and its extension that is a structural model which addresses the issue of self-selection into different levels of education.

The results of the analysis suggest that there is a significant heterogeneity in the returns to different levels of education. First, higher education, in general, offers substantial wage premiums when compared to vocational education. Specifically, individuals with specialist’s and bachelor’s degrees enjoy higher wage premiums of approximately 23.59–24.04% and 16.43–16.49%, respectively, compared to those with vocational education. Furthermore, we observe a significant dis-parity in returns among the various levels of higher education. Master’s degree provides a substantial wage premium in comparison to both bachelor’s (19.79–20.96%) and specialist’s (12.64–13.41%) degrees. Moreover, specialist degree offers a 7.16–7.55% higher wage premium than bachelor’s degree.

We identify a hierarchical pattern in the returns associated with different levels of higher education in Russia, specifically “bachelor-specialist-master.” These findings indicate that each level of education in Russia serves as a distinct signal in the labor market, facilitating employers' ability to differentiate between workers. From a policy perspective, our results suggest the potential benefits of offering opportunities to transition from specialist’s to master’s degrees on a tuition-free basis. Such a policy may enhance access to advanced education and potentially lead to higher returns for individuals in the labor market.

There are many studies on returns to higher education in Russia. However, just few of them estimate the returns to different levels of higher education. Also, these studies usually do not address the issue of the endogeneity arising because of self-selection into different levels of education. Our structural econometric model allows addressing for this issue and provides consistent estimates of returns to different levels of education under the assumption that individuals with higher propensity to education obtain higher levels of education.

Introduction: The Republic of Moldova’s economy faces risks caused by the war in Ukraine and the economic crisis, proving that citizens’ prosperity is essential for national stability and that financial knowledge influences the standard of living. A minimum financial education provides information, knowledge, and tools to make correct decisions based on informed consent in an increasingly complex financial system. In the financial-banking and academic environment, in-depth research of consumers’ financial education level helps to optimise, streamline, and balance bank–client relations with fairness. This work is the consequence of studying the level of financial education among consumers of financial-banking services, with direct implications for their financial well-being.

Purpose: The main aim of this research is to measure the financial knowledge of consumers of financial-banking services, developing recommendations for measures to improve the situation.

Methodology: To explain the factors of influence, the following research techniques were used: analysis and synthesis of conceptual approaches to financial education; deduction and induction; analysis of the findings of sociological research on the level of financial education of users of financial-banking services; and recommendation synthesis.

Findings: The research validates that enhancing financial education has a positive effect on individuals and the economy, reinstates confidence in financial markets, makes an innovative contribution to accurately assessing consumers’ financial knowledge enabling the implementation of proactive measures.

Implications: This chapter provides insights into consumers’ financial education level, serving as a crucial indicator for institutions and public authorities in formulating and promoting effective educational initiatives to ensure minimal skill gaps.

Education had proven to be one of the main determinants of economic growth, and it is a reason of the variations in economic growth levels between developed and developing countries. One of the main dimensions in studding the relationship between economic growth and education is the gender dimension or the importance of gender equality or female education in achieving economic growth. This chapter aims to test the hypothesis of the existence of a positive relationship between female education and economic growth in Egypt since 1990.

To address this question, Auto Regression Distributed Lag (ARDL) Bound test approach is conducted to analyze the co-integration between female education and economic growth using Egyptian Data for the period 1990–2022. The Empirical analysis for Egypt suggests the existence of positive significant relationship both in the short run and long run and that the impact of female education on economic growth is larger than the impact of education in general on growth. This could be explained by the existence of gender gap in Egypt, labor market, and thus, more educated girls able to enter the labor market will affect the economic growth more than the education of both sexes, in other words, there is still a room for improvement in the female labor market opportunities than for both sexes. The chapter also confirms the existence of a direct link between education in general and economic growth and thus confirms the hypothesis of the positive impact of education economic growth.

This study examines the relationship between financial literacy and risk-taking behavior in the stock market for both graduates and undergraduates.

This study conducted two surveys on two groups: graduates and undergraduates. The questionnaires were sent to the two groups via “Google Form”. The surveys were undertaken from March to October 2021, with final data on 500 undergraduates and 400 graduates. The three techniques used are multiple linear regression (MLR), structural equation model (SEM) and ordinal logit regression (OLR) to examine the causal relationships.

Based on survey data on 400 graduate and 500 undergraduate students, our results show that financial literacy is positively associated with risk-taking behavior (i.e. use of debt and willingness to use debt) after controlling for demographics. Graduates with higher levels of financial literacy are more likely to use debt. Undergraduates with higher levels of financial literacy are more willing to use debt. In addition, parental education has a significant moderating effect on the association between financial literacy and debt use among undergraduate students. The results are robust compared to the alternatives.

Although this study finds a positive association between financial literacy and risk-taking behavior among graduates and undergraduates, and these results are robust to the alternatives, the scope of this study is limited and only focuses on Vietnam. Hence, it needs to be expanded overseas. Next, graduates may make investment decisions based on stock prices or valuations, and as a result, the link between financial literacy and stock valuations should be investigated in subsequent research. Last but not least, further studies should also examine the digital financial literacy level of the younger generation, as it plays an important role in the digital age.

First, this study finds that higher financial literacy tends to use more debt, implying that financially literate people know how to use debt smartly to earn more profits. Second, students with higher-educated parents are less likely to use debt for stock investment, meaning that parents help students avoid possible risks while in the university. Finally, female graduates and college students all perform lower in financial literacy than their male counterparts. This can create a larger gender gap in financial literacy between women and men, particularly, in a society in which men often play the leading role in the family. As a result, it calls for policymakers, educators and parents to pay more attention to improving financial literacy among girls and women in general.

This study has three contributions. First, this is the first study to examine the impact of financial literacy on risk-taking behavior between two groups of graduates and undergraduates. The results show that individuals with a higher level of financial literacy are more likely to engage in risk-taking behavior (i.e. debt use) in terms of the stock market. Recent research, for example, Phung et al. (2022), examines investors’ informal debt (from families and friends), while this study investigates graduates’ debt use (from brokerage firms). Second, parental education is a significant mediator between college students’ financial literacy and debt use. The literature on parental socialization mainly documents parents’ direct influence on children’s financial knowledge and performance (Shim et al., 2010; Phung, 2023). Unlike previous research, this study finds that parental education plays a moderating role between college students’ financial literacy and their risk-taking behavior. Finally, three methods and multiple models are used to test causal relationships. The results are robust compared to the alternatives.

This study aims to investigate the moderating role of sociodemographic factors, specifically age and education level, in the knowledge-attitude-behavior (KAB) model concerning information security awareness (ISA) amid growing technological threats.

This study uses a survey methodology, collecting data from 400 working individuals in Vietnam, to test the applicability of the KAB model and evaluate the moderating effects of age and education on the model’s established relationships. In addition, the theoretical model and hypotheses were evaluated using the partial least squares structural equation model (PLS-SEM) approach.

This research confirms the relationships posited in the KAB model. Notably, it shows that younger employees showcase a more positive attitude and behavior toward information security compared with their older counterparts. In addition, higher education levels strengthen the positive association between information security knowledge and attitude. The findings underscore the imperative for organizations to consider sociodemographic variables when formulating strategies to enhance ISA.

This study extends the KAB model by exploring the impact of sociodemographic factors, focusing on age and education in ISA. Overcoming the oversight in current literature, particularly in the context of technological threats, the research uses PLS-SEM and targets a specific demographic in Vietnam.

This research paper investigates the theoretical frameworks encompassing a nuanced analysis of the digital divide in the Indian educational context, recognising that it is not merely a matter of technology access but also the ability to effectively use the resource for enhancing learning outcomes. This research provides valuable insights for fostering a more equitable and digitally inclusive learning environment by integrating conceptual insights with empirical evidence. The New Education Policy (NEP), India 2020 firmly emphasises the appropriate integration of technology into the teaching-learning process to develop relevant competencies. The pertinent question is, for India to conquer the second digital divide challenge, is the pace of technology accessibility and skill development sufficient?

The paper is a desk research, using secondary data from the Unified District Information System for Education (UDISE+), the Indian Government database of schools. A structured dataset has been created for all years, where states are grouped in descending ranking order of availability of infrastructure and teachers trained. A colour key segregates the States into three zones demonstrating their different levels of performance – high (green), moderate (blue) and low (yellow). The purpose is to identify state/s that have moved from one zone to another and, thereafter, analyse the reasons behind the movement.

Almost all states remained in the same digital resource availability zone for the four years studied, except for a limited few. Despite government interventions through higher budget allocation and targeted policies, growth rates of teacher training in computer usage slowed down post-COVID-19. A high positive correlation between Teachers' training in computer usage and the availability of computer and Internet facilities in schools indicates that an increase in digital infrastructure in schools is highly linked to teachers' training in computer usage and would ultimately translate into better use of digital resources to impart equitable education opportunities.

Primary data collection through interviews might have added to the critical findings. Therefore, researchers are encouraged to test the proposed propositions further on a case-by-case basis for any state under consideration.

Enhancing digital infrastructure in schools and building digital competence in teachers must be understood in the context of the learning organisation and the beneficiaries' attitudes at the meso-level to expand stakeholder motivation towards digital internalisation. This requires continuous engagement with education institutions as professional learning organisations, which will thereby help develop a decentralised context for teacher competency building. Collaboration, continuous monitoring of the outcomes of professional development programs, and sharing best practices are crucial in improving teacher readiness for digital education.

Access to tangible resources, such as computers, Internet connectivity and educational software, and developing intangible resources, such as teacher digital competencies, will play a pivotal role in shaping students' learning experiences. By studying the discrepancies in digital resource accessibility and teacher technology adoption, this research endeavours to add to the efforts towards enhancing the educational landscape.

This paper seeks to address a critical issue in the Indian education system and contribute to the ongoing effort to prevent the widening of the second and third digital divide in schools, and help achieve UN SDG Goals 4 and 10.

This paper investigates the key determinants affecting household spending for university degree in Vietnam. This paper serves as empirical evidence for policymakers to select appropriate factors to estimate financial needs for university students in Vietnam.

We employ an innovative variable selection approach with adaptive LASSO for Tobit Regression Model.

The results suggest income, region and ethnicity play significant roles in determining higher education expenditure at Vietnamese households. Gender-related indicators (such as gender of household head, student’s gender), distance to school, occupations, etc. are empirically insignificant.

This study proposes a data-driven method by interfering regulation and Tobit regression to understand the divergence in higher education spending. Especially, adaptive LASSO was first introduced to identify key determinants of higher education expenditure at household level in Vietnam. It hopes to tackle over-fitting problems of traditional OLS regression in previous literature.

Social engineering is crucial in today’s digital landscape. As technology advances, malicious individuals exploit human judgment and trust. This study explores how age, education and occupation affect individuals’ awareness, skills and perceptions of social engineering.

A quantitative research approach was used to survey a diverse demographic of Egyptian society. The survey was conducted in February 2023, and the participants were sourced from various Egyptian social media pages covering different topics. The collected data was analyzed using descriptive and inferential statistics, including independent samples t-test and ANOVA, to compare awareness and skills across different groups.

The study revealed that younger individuals and those with higher education tend to research social engineering more frequently. Males display a higher level of awareness but score lower in terms of social and psychological consequences as well as types of attacks when compared to females. The type of attack cannot be predicted based on age. Higher education is linked to greater awareness and ability to defend against attacks. Different occupations have varying levels of awareness, skills, and psychosocial consequences. The study emphasizes the importance of increasing awareness, education and implementing cybersecurity measures.

This study’s originality lies in its focus on diverse Egyptian demographics, innovative recruitment via social media, comprehensive exploration of variables, statistical rigor, practical insights for cybersecurity education and diversity in educational and occupational backgrounds.

Purpose: This chapter addresses the skills shortages in Kosovo’s labour market, emphasising the service sector. The labour market economy is very dynamic, and Kosovo, with the youngest population in Europe, also has the highest unemployment level among youths. Therefore, we aim to analyse the mismatches of the skills demand in the labour market.

Methodology: The scientific methods used in this chapter are quantitative methods applying analytical and critical approaches based on economic theory. In this chapter, we analysed secondary data from Labour Force Surveys (LFS) and official reports such as the World Bank and UNDP. We have also conducted primary research with the employees of SMEs in the service sector, with specifically related questionnaires for descriptive issues.

Findings: The logit model used in this research has shown goodness of fit and yielded significant results. Based on the empirical findings, we have found a need for some main soft skills such as communication skills, language skills, ICT skills, and additional training to help gain employability skills. These findings suggest that there is a need for more skills in the service sector, significantly impacting the employees’ job performance and the job seeker’s level of employability.

Significance: Noticeably, countries that are still in the transition process face inequalities in the labour market and have a very high level of unemployment. The findings can be used in analysing demand-side management of the labour market and mismatching of skills in transition economies by policy makers.