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The prevalence and stability of marriage has declined in the United States as the economic lives of men and women have converged. Family change has not been uniform, however, and the widening gaps in marital status, relationship stability, and childbearing between socioeconomic groups raise concerns about child well-being in poor families and future inequality. This paper uses data from a recent cohort of young adults – Wave IV of the National Longitudinal Study of Adolescent Health – to investigate whether disparities in cognitive ability and non-cognitive skills contribute to this gap. Blinder–Oaxaca decompositions of differences in key family outcomes across education groups show that, though individual non-cognitive traits are significantly associated with union status, relationship instability, and single motherhood, they collectively make no significant contribution to the explanation of educational gaps for almost all of these outcomes. Measured skills can explain as much as 25 percent of differences in these outcomes by family background (measured by mother’s education), but this effect disappears when own education is added to the model. Both cognitive and non-cognitive skills are strongly predictive of educational attainment but, conditional on education, explain very little of the socioeconomic gaps in family outcomes for young adults.

The main purpose of this paper is to assess the degree of complementarity between cognitive skills and non-cognitive skills, and to evaluate their joint impact on individual wages.

The author uses a survey representative of the Polish working-age population with well-established measures of cognitive and non-cognitive skills.

Non-cognitive skills are important in the labour market, not only as separate factors that influence wages, but as complements to cognitive skills. Specifically, the analysis showed that the more neurotic an individual is, the lower his or her returns to cognitive skills are. Social skills were not shown to be complementary to cognitive skills in Poland unlike the recent results in the United States.

To the best of author's knowledge, this is the first study to provide evidence that neurotic individuals have lower returns to cognitive skills. It also tests the existence of the complementarity between social and cognitive skills.

The study aims to study the effect of non-cognitive ability in human capital on the wages of rural migrant workers in China. The study also examines the mechanisms by which career choice, career development and social capital influence.

Based on the new human capital theory, this paper empirically investigates the effects and mechanisms of rural migrant workers' non-cognitive ability on wages using the 2018 China Family Panel Studies database and Stata 17.0 for construct validation and hypothesis testing.

The results showed that non-cognitive ability has a significant positive effect on rural migrant workers' wages. Subsequently, the mechanism of non-cognitive ability was examined. In further analysis, the study found that non-cognitive ability has a greater effect on the wages of vulnerable individuals (females, low and medium skills) among the rural migrant workers.

The originality of this study is to break through the existing research perspectives, overcome the limitations of scholars' existing research perspectives focusing on the employment and competitiveness of rural migrant workers in China and explore the factors affecting the rural migrant workers' wages from the perspective of non-cognitive ability as a new entry point by combining psychology. At the same time, the study design is more rigorous, avoiding the measurement error of variables.

This paper uses data from the 1979 and 1997 National Longitudinal Surveys of Youth to estimate the changing returns to cognitive and non-cognitive skills with respect to college completion, and quantifies the extent to which gender differences in these skills are driving the college gender gap. The use of two distinct college graduation cohorts allows a dynamic analysis of the widening female advantage in college graduation. I decompose the increase in the college gender gap into three pertinent categories of measurable attributes: family background, cognitive skills, and non-cognitive skills (captured by school suspensions, behavioral problems, and legal infractions). A second decomposition is applied to the change in the gap between the two periods. The results show that roughly half of the observed college graduation gender gap in the NLSY97 is due to female advantages in observable characteristics, and roughly half is “unexplained”: due to gender differences in the coefficients. With respect to the change in the gap, approximately 29% of the difference in differences is the “explained” component, attributed to changes in the relative characteristics of men and women. In particular, declining non-cognitive skills in men are associated with about 14% of the increase in the gender gap.

The purpose of this paper is to identify the principal qualities that define a good worker for microenterprises of the trade sector according to the contemporary literature of the human capital and associated with the Big Five personality traits. It also determines the effect of those skills over the success of trade microenterprises in the context of a developing country.

A total of 393 owners/managers of microenterprises located in six trade zones of Lima district in Peru were involved in this study. They were randomly selected and asked to answer a survey of perceptions about the microenterprise’s performance and workers’ behavior.

The results demonstrate that workers that possess mainly non-cognitive skills would be considered as good workers for trade microenterprises. These skills are associated with four of the Big Five personality traits: extraversion, agreeableness, openness or autonomy and conscientiousness. Also, the results show that punctuality, honesty and assertiveness, associated with the traits such as extraversion, agreeableness and conscientiousness, are the principal non-cognitive skills that impact positively over microenterprises’ success.

The performance of workers is only based on owners/managers’ perceptions.

The owners/managers’ role is important to help workers to develop the necessary skills that can contribute to the microenterprise. In that sense, if the direct contact that exists between them is leveraged, owners/managers could implement strategies such as mentoring to promote the personal and professional growth of their workers.

This study provides useful information about how specific non-cognitive skills of workers can contribute to the success of trade microenterprises in developing countries like Peru.

The purpose of this paper is to learn more about demand for competences is crucial for revealing the complex relationship between employee selection, different strands of education and training and labor market regulation.

Content analysis and statistics of job advertisements.

Employer skills requirements even for low- and medium-skilled jobs are highly specific. Formal education requirements are higher than they “should” be. No detectable “basic package” of general cognitive skills for low- and medium-skilled jobs was found. Employer demand focusses on non-cognitive skills and specific cognitive skills. Specificity of skill requirement across different sectors or occupation groups differs vastly between different types of low- and medium-skilled jobs and is linked to the interactive nature of the job, not to the qualifications or the experience required.

The analysis can be considered an initial feasibility test for a larger comparative cross-country project that would aim to understand labor demand in different EU countries.

The analysis could be used as input in designing labor market policy and life-long learning programs to integrate low-skilled and unemployed.

The research provides a tool to match disadvantaged workers to jobs for which they possess greater capabilities or to help them develop crucial skills for a given occupation.

This paper contributes to the HRM literature with a more demand-led approach to labor market policy. The authors reveal what role skills and upskilling can play in alleviating the problem of unemployment. The results can be useful for HR specialists and policy makers.

The retention and success of engineering undergraduates are increasing concern for higher-education institutions. The study of success determinants are initial steps in any remedial initiative targeted to enhance student success and prevent any immature withdrawals. This study provides a comprehensive approach toward the prediction of student academic performance through the lens of the knowledge, attitudes and behavioral skills (KAB) model. The purpose of this paper is to aim to improve the modeling accuracy of students’ performance by introducing two methodologies based on variable selection and dimensionality reduction.

The performance of the proposed methodologies was evaluated using a real data set of ten critical-to-success factors on both attitude and skill-related behaviors of 320 first-year students. The study used two models. In the first model, exploratory factor analysis is used. The second model uses regression model selection. Ridge regression is used as a second step in each model. The efficiency of each model is discussed in the Results section of this paper.

The two methods were powerful in providing small mean-squared errors and hence, in improving the prediction of student performance. The results show that the quality of both methods is sensitive to the size of the reduced model and to the magnitude of the penalization parameter.

First, the survey could have been conducted in two parts; students needed more time than expected to complete it. Second, if the study is to be carried out for second-year students, grades of general engineering courses can be included in the model for better estimation of students’ grade point averages. Third, the study only applies to first-year and second-year students because factors covered are those that are essential for students’ survival through the first few years of study.

The study proposes that vulnerable students could be identified as early as possible in the academic year. These students could be encouraged to engage more in their learning process. Carrying out such measurement at the beginning of the college year can provide professional and college administration with valuable insight on students perception of their own skills and attitudes toward engineering.

This study employs the KAB model as a comprehensive approach to the study of success predictors. The implementation of two new methodologies to improve the prediction accuracy of student success.

The paper's aim is to highlight the value of non‐cognitive strengths such as creativity and grit. In a knowledge age, those aspects will be the distinguishing characteristics in a global work force and must be a goal of educational pursuits.

The paper examines research supporting the inclusion of character strengths in education for a borderless global future.

Presently, most education and work deals with information and data. Technology has made data/facts/information more accessible but less unique for any given learner, worker, or place. At the same time, education has focused on simple distribution of content, knowledge assessment, and testing instead of the development of rich knowledge and non‐cognitive skills. This can be seen in the reliance on testing and achievement, and, by and large, in a generation of students knowing “what” but not “how”, a generation less creative and more prone to set answers, a generation often lacking character strengths and less able to persevere in the face of challenge or failure.

Research must focus more intensely on the character strengths or non‐cognitive skills to better understand their relationship to learning and achievement. Methods of developing character strengths should be researched for efficacy. Correlation between various character strengths (such as creativity and persistence) and academic achievement should be broadly researched. This correlative research could support new methods and foci in education offering a broader, more inclusive direction in learning.

Research has shown character strengths can be better developed in explicit class settings than through tacit methods. Previous research into strengths such as grit and perseverance could also lead to different participant selection for employment, enrollment, or to intervention programs. In a world where information travels around the world in the blink of an eye, in a borderless global future, education must metaphorically cross the cognitive border and begin to directly address that broader set of skills that are cherished but often do not seem to be taught. It is on the border between learning information – explicit knowledge – and affective, social, and behavioral skills where change must occur.

This paper addresses a need in education to examine and explicitly address non‐cognitive skills.

This article illustrates the key findings from the economics literature on education investment, in particular the findings focused on early child investment. The article shows the impact of early investment, particularly evidence from experimental programmes on later life outcomes such as labour market performance and societal position. It demonstrates how investment in children is both an important investment for the child but also an important tool for economic and social policy.

In this chapter, we compare five approaches for assessing competences of higher education graduates. We begin by outlining the main reasons for assessing higher education graduates’ competences. Next, we present a brief definition of competences. This definition is applied throughout the chapter, and forms the framework for comparing various approaches for measuring higher education graduates’ competences, and for discussing their relative strengths and weaknesses. We conclude that the existing approaches for assessing competences are suitable for measuring only one type of competence, that is, either cognitive or non-cognitive, but limited in their capacities to measure both. In the context of changing labor market needs and requirements, it is essential either to use these approaches in combination or to develop innovative methods which are equally suitable for measuring discipline-related as well as more generic competences. In this chapter, we discuss the assessment approaches by mainly focusing on employment-related competences. By employment-related competences we mean both cognitive and non-cognitive aspects of competences, such as personal and social skills, leadership, and communication skills.