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Understanding of the effects of formal education on HIV/AIDS infection in South Saharan Africa (SSA) has been a complex task because consecutive waves of research offer different, seemingly contradictory results and explanations of what exactly are the schooling effects on HIV/AIDS and the causal mechanisms driving those effects. This chapter concentrates on the narrative and implications of the key substantive findings from a multidisciplinary scientific team that was formed to explore the precise nature of the relationship between population education and the HIV/AIDS pandemic in SSA and to determine the main causal mechanisms behind the association. As members of this team, this chapter reviews and synthesizes our technical demographic, epidemiological, and health research. This, and other relevant research, suggests that, like in other cases of education and health risk, because of a historical change in the public health and information environment during the pandemic there was a shift in which outcomes of education dominated individual's sexual and disease prevention behavior. The SSA HIV/AIDS case is thoroughly examined, and then used to bridge to a general discussion of the effects of educational development on population health.

Between 1995 and 2012, the wage distribution of male workers in Brazil shifted to the right and became less dispersed. This paper attempts to identify the reasons for that movement in male wage distribution, focusing on the impact of education expansion on wage distribution. The Oaxaca-Blinder (OB) and Recentered Influence Function (RIF) decomposition results show that both changes in returns on skills and upgrades in the composition of work skills contribute to increases in the average wage and wages at the 10th and 50th percentiles. The shifts in returns to skills had a decreasing impact on wages at the 90th percentile and are identified as the primary force reducing wage inequality. Education expansion had an equalizing impact on wage distribution, primarily through the decline in return to education.

This chapter examines the impact of education on income inequality in 18 Latin American countries between 2000 and 2010. This period has raised interest in the academic community because inequality has fallen across the region, after several years of consistent high levels. Employing the novel technique proposed by Firpo, Fortin, and Lemieux (2007), the author’s research provides a detailed decomposition of inequality. Three main findings emerge from the author’s results: First, the expansion of education increases inequality in six countries but reduces inequality in four countries. Second, the changes in returns to education are the driving component of the effects of education on inequality. Those countries where education contributes to a fall in inequality are those where the returns to education fell at the top of the income distribution. Third, the rise in the average years of education, considered alone, had an inequality-increasing effect in most of the countries under analysis.

Misinterpretation of a negative test results in health screening may initiate less preventive effort and more future lifestyle-related disease. We predict that misinterpretation occurs more frequently among individuals with a low level of education compared with individuals with a high level of education.

The empirical analyses are based on unique data from a randomized controlled screening experiment in Norway, NORCCAP (NORwegian Colorectal Cancer Prevention). The dataset consists of approximately 50,000 individuals, of whom 21,000 were invited to participate in a once only screening with sigmoidoscopy. For all individuals, we also have information on outpatient consultations and inpatient stays and education. The result of health behaviour is mainly measured by lifestyle-related diseases, such as COPD, hypertension and diabetes type 2, identified by ICD-10 codes.

The results according to intention-to-treat indicate that screening does not increase the occurrence of lifestyle related diseases among individuals with a high level of education, while there is an increase for individuals with low levels of education. These results are supported by the further analyses among individuals with a negative screening test.

The current study aims to explain the relationship between entrepreneurial education and entrepreneurial intention through a moderated mediation model from the lens of social cognitive career theory (SCCT). Specifically, two main objectives of this study are (1) to explore the mediation role of entrepreneurial self-efficacy in the relationship between entrepreneurial education and start-up intention and (2) to investigate the moderate role of family support on the effect of entrepreneurial education on entrepreneurial intention.

This study uses a sample of 1879 students in Vietnam and SPSS PROCESS macro developed by Hayes (2012) to examine the indirect effect of entrepreneurial education on start-up intention via entrepreneurial self-efficacy and the moderated mediation effect of family support.

This study reveals that the association between entrepreneurial education and entrepreneurial intention is partially mediated via entrepreneurial self-efficacy. Also, the effect of entrepreneurial education on entrepreneurial self-efficacy and start-up intention was negatively moderated by family support. Furthermore, the indirect effect of entrepreneurial education on intention to form a venture via entrepreneurial self-efficacy is also negatively moderated by family support.

The entrepreneurial education and start-up intention linkage remain a significant gap in the entrepreneurship literature. Therefore, this research study is expected to contribute to clarifying this linkage by utilizing the SCCT to explain how entrepreneurial education contributes to entrepreneurial intention.

This study is concerned with the separate output effects of female and male education, as well as output effects of the educational gender gap. Several recent empirical studies have examined the gender effects of education on economic growth or on output level using the much exploited, familiar cross-country data. This paper aims to undertake a similar study of the gender effects of education on economic growth using a panel data across the provinces of Turkey for the period 1975-2000.

The theoretical basis of the estimating equations is the neoclassical growth model augmented to include separate female and male education capital and health capital variables. The methodology the authors use includes robust regression on pooled panel data controlling for regional and time effects. The results are found to be robust to a number of sensitivity analyses, such as elimination of outlier observations, controls for simultaneity and measurement errors, controls for omitted variables by including regional dummy variables, steady-state versus growth equations and different samples of developed and less-developed provinces of Turkey.

The main findings indicate that female education positively and significantly affects the steady-state level of labor productivity, while the effect of male education is in general either positive or insignificant. Separate examination of the effect of educational gender gap was to reduce output.

As evident in the literature, there is controversy surrounding the gender effects of education on growth. This paper provides new evidence on this issue from the perspective of a single country rather than a cross-country viewpoint.

In large parts of the world, income inequality has been rising in recent decades. Other regions have experienced declining trends in income inequality. This raises the question of which mechanisms underlie contrasting observed trends in income inequality around the globe. To address this research question in an empirical analysis at the aggregate level, we examine a global sample of 73 countries between 1981 and 2010, studying a broad set of drivers to investigate their interaction and influence on income inequality. Within this broad approach, we are interested in the heterogeneity of income inequality determinants across world regions and along the income distribution. Our findings indicate the existence of a small set of systematic drivers across the global sample of countries. Declining labour income shares and increasing imports from high-income countries significantly contribute to increasing income inequality, while taxation and imports from low-income countries exert countervailing effects. Our study reveals the region-specific impacts of technological change, financial globalisation, domestic financial deepening and public social spending. Most importantly, we do not find systematic evidence of education’s equalising effect across high- and low-income countries. Our results are largely robust to changing the underlying sources of income Ginis, but looking at different segments of income distribution reveals heterogeneous effects.

Prior research mostly focuses on the effect of over-education on happiness, whereas the effect of under-education on happiness has received minimal attention. In addition, no research to date has examined the effect of both over- and under-education on happiness by using a full spectrum of workers. Thus, the purpose of this paper is to fill this research gap.

The ordered probit model is estimated to examine the effect of the education–occupation mismatch on happiness based on 2012 survey data from Taiwan.

The results generally indicate that over-education positively affects happiness, whereas under-education has a minimal effect. The effect of the education–occupation mismatch on happiness also varies with different age groups. Specifically, over-education positively affects happiness except for workers aged 42 and above, whereas negative effects of under-education are found only among workers aged between 32 and 42 when their social network is insufficiently extensive. Moreover, a worker’s social network as a non-pecuniary factor, rather than income as a pecuniary factor, is a major channel through which education enhances happiness.

Given the limited and mixed evidence on the relationship between over-education and happiness, this study contributes to the existing literature by examining whether and how the education–occupation mismatch (over- and under-education) affects the happiness of workers both directly and indirectly via pecuniary and non-pecuniary factors. The research issue remains unexplored to date. Addressing such a question should help explain the persistent trend in pursuing higher education in Taiwan, although highly educated people may suffer from unemployment and an education–occupation mismatch.

The peer review history for this paper is available at: https://publons.com/publon/10.1108/IJSE-04-2019-0283

The purpose of this paper is to examine spillover effects across differently educated workers. For the first time, the authors consider “reverse” spillover effects, i.e. spillover effects from secondary-educated workers with dual vocational education and training (VET) to tertiary-educated workers with academic education. The authors argue that, due to structural differences in training methodology and content, secondary-educated workers with VET degrees have knowledge that tertiary academically educated workers do not have.

The authors use data from a large employer-employee data set: the Swiss Earnings Structure Survey. The authors estimate ordinary least squares and fixed effects panel-data models to identify such “reverse” spillover effects. Moreover, the authors consider the endogenous workforce composition.

The authors find that tertiary-educated workers have higher productivity when working together with secondary-educated workers with VET degrees. The instrumental variable estimations support this finding. The functional form of the reverse spillover effect is inverted-U-shaped. This means that at first the reverse spillover effect from an additional secondary-educated worker is positive but diminishing.

The results imply that firms need to combine different types of workers because their different kinds of knowledge produce spillover effects and thereby lead to overall higher productivity.

The traditional view of spillover effects assumes that tertiary-educated workers create spillover effects toward secondary-educated workers. However, the authors show that workers who differ in their type of education (academic vs vocational) may also create reverse spillover effects.

We survey the literature on the Risk Augmented Mincer equation that seeks to estimate the compensation for uncertainty in the future wage to be earned after completing an education. There is wide empirical support for the predicted positive effect of wage variance and the negative effect of wage skew. We discuss robustness of the findings across specifications, potential bias from unobserved heterogeneity and selectivity and consider the core issue of students' information on benefits from education.