Search results

The purpose of this paper is to investigate self-competence—the ability to act responsibly on one's own—and likely nonlinear wage returns across different levels of self-competence as part of training curricula.

The authors identify the teaching of self-competence at the occupational level by applying machine-learning methods to the texts of occupational training curricula. Defining three levels of self-competence (high, medium, and low) and using individual labor market data, the authors examine nonlinearities in wage returns to different levels of self-competence.

The authors find nonlinear returns to teaching self-competence: a medium level of self-competence taught in an occupation has the largest wage returns compared to low or high levels. However, in occupations with a high cognitive requirement profile, a high level of self-competence generates positive wage returns.

This paper first adds to research on the importance of teaching noncognitive skills for economic outcomes, which recently—in addition to personality traits research—has primarily focused on social skills by introducing self-competence as another largely unexplored but important noncognitive skill. Second, the paper studies not only average but also nonlinear wage returns, showing that the right level of self-competence is crucial, i.e. neither teaching too little nor too much self-competence provides favorable returns because of trade-offs with other skills (e.g. technical or professional skills). Third, the paper also examines complementarities between cognitive skills and noncognitive skills, again pointing toward nonlinear returns, i.e. only in occupations with a high cognitive requirement profile, high levels of self-competence generate positive wage returns.

The purpose of this chapter is to reveal explanations for completing upper secondary education. Focus is on the mechanisms that drive attainment of upper secondary education. I analyze the relative contributions of different factors measured by the relative increases in the log likelihood function. I also investigate the importance of characteristics other than the traditional variables, such as fathers’ and mothers’ occupations, their education, and household income, often applied in studies of educational attainment. I used a recent 1984 cohort database with information about educational completion and an informative set of measurements on noncognitive capacities, parental cultural capital, cultural capital, reading score, several school-related variables, and a rich set of family background variables. Attainment of upper secondary education was analyzed by a multinomial logit model, showing that characteristics other than the traditional variables all have significant importance. The analysis clearly depicted that the social position and educational levels of both parents remain important in determining whether the child embarks on completing an upper secondary education. Additionally, noncognitive dispositions show to be very important in explaining educational attainment, even when controlling for family background and refined cultural capital variables. Therefore, society should direct more efforts towards establishing children's cognitive and noncognitive skills and their ability to focus on schoolwork along with building their beliefs. Parents should be involved in a more content-sensitive sense when raising their children.

The purpose of this paper is to analyze the temporal development of noncognitive abilities of children and the development trajectory of rural and urban children's noncognitive abilities in China.

Lexis diagram is used as the research framework to depict the development trajectory of rural and urban children's noncognitive abilities in China. By employing the nationally representative longitudinal survey data, China Family Panel Studies (2010–2016), the difference of rural and urban children's noncognitive abilities is disentangled into temporal, age and cohort effects.

There is a significant temporal rural–urban difference in children's noncognitive abilities, but the rural–urban gap would expand, narrow or show more complex development trends under different measurements. The results of age and cohort comparison are similar to those of temporal comparison, that is, there are divergent trajectories of rural–urban gap due to the different measurements and different ages and/or cohorts. Specifically, urban children perform better in self-esteem, but rural children always have a higher social responsibility, such a contrast between urban children's weak social responsibility under the advantageous condition and rural children's strong social responsibility in the relatively disadvantageous environment.

Children's noncognitive ability is not innate but is a gradually acquired characteristic through training and cultivation. The rural–urban difference of children's noncognitive abilities implies educational issues concerning educational principles in the urban environment and the educational resources' allocation in the rural society in China. Besides, as the unidimensional measurement of children's noncognitive ability is insufficient, the systematic measurement composed of multidimensional indicators utilizing cohort data or longitudinal data would be needed.

We use disaggregated survey data set to investigate the impact of personality traits on the level of education in the USA. We attempt to shed light on the contribution of each of the Big Five personality traits on the education decision made by the individuals.

We use the quantile regression analysis in order to investigate to what extent certain aspects of personality may help an individual to invest in education.

Our findings uncover a significant effect of noncognitive skills on the level of education. It is shown that people with high emotional stability and agreeableness invest in human capital, especially when we move to the higher quantiles of the conditional distribution function. Moreover, we argue that the estimated signs of the traits remain stable across the quantiles, while the relevant curvatures indicate for the first time in the empirical literature, the presence of nonlinear effects. Last, our model survived robustness checks under the inclusion of two aggregated higher-order factors, namely “Alpha” and “Beta.”

Although we used several control variables (e.g. Gender, Age) to address the impact of noncognitive skills on education, special attention should be given to the use of additional socioeconomic indicators such as the skin color of participants, the urbanization rate, the level of unemployment, the level of income, parental education among others. These measures affect the causality driven by the inclusion of certain economic and demographic characteristics and minimize the endogeneity bias drawn from the inclusion of the sample variables. One additional limitation is that the survey-based data refer only to people with higher education (>13 years of study). Therefore, our empirical findings must be tested on a richer sample to capture the effect of personality traits on a broad spectrum of educational stages (e.g. early learning years, primary education, secondary education, etc.).

Our empirical findings add enough new insights to the existing literature. First, we attempt to assess the role of noncognitive skills proxied by the Big Five Inventory (hereafter “BFI”) on the education decision made by the individuals. Second, we provide fresh evidence of nonlinear effects between personality traits and education totally ignored by the existing literature. Our third contribution is to analyze the role of personality in enhancing the importance of investment in higher education as a determinant of individual behavior. In this way, we contribute to the growing field of behavioral economics since the study of noncognitive skills offers a range of new ideas and expanding research opportunities for social scientists (economists, psychologists, sociologists, etc.).

Truth matters; and the norms associated with a democratic society, such as the common good, responsibility, ethics, and civic engagement, are under attack with the emergence of the post-truth society. There are concerns worldwide that public education is failing us on pushing back on disinformation. Schools are not seen as developing skills that permit students to adequately differentiate truth from nontruths. In this context, the education system also faces some unprecedented challenges. The quality of education in most of the world is low, and only slowly improving. Also, future workers are concerned with automation's threat – or perceived threat – to jobs. In most countries, education systems are not providing workers with the skills necessary to compete in today's job markets. The growing mismatch between demand and supply of skills holds back economic growth and undermines opportunity. At the same time, the financial returns to schooling are high in most countries, and growing skill premiums are evident in much of the world. Schooling remains a good economic and social investment, and there are record numbers of children in school today. The skills that matter in the coming technological revolution are likely the same as what is needed in a media environment of disinformation. More and better education, and noncognitive skills, will not only prepare students for the future world of work; they will also prepare them to navigate the increasingly complex post-truth society. They will be able to detect fake news – or deliberate disinformation spread through news or online media. It will also allow young people to gain trust. In other words, better education is democratizing, to the extent that it promotes truth, values, and civic engagement.

The purpose of this study is to identify what skills gained during PhD study are linked with preparation and differences between industry and academic positions.

Using student-level data from nearly 2,400 early career PhD alumni from 50 US PhD granting institutions, this study uses a generalized ordered logit model with partial proportional odds to test the main and conditional effects of 14 areas of skill development on perceptions of career preparation.

This study contributes empirical evidence to show that research skills and communicating with non-technical audiences are positively linked with job preparation.

The combination of sophisticated research and noncognitive skills promotes the idea of a well-rounded PhD – a highly skilled and versatile researcher that can interact in both academic and industry settings – as a goal of doctoral education. The knowledge gained from this study will assist scholars and graduate educators, including faculty advisors, program directors, graduate deans, graduate education professionals and career development professionals to reconceptualize professional preparation for work in industry.

For-profit businesses, particularly start-up companies, are vital for economic development and many require PhD-level employees across research and management roles. Developing PhDs with the appropriate skills for industry will better align higher education and economic interests.

The wide scope of doctoral institutions allows for a quantitative approach not appropriate for single-institution case studies of doctoral career pathways research.

Students with emotional and behavioral disorders (EBD) have poor school outcomes and serious problems in life after school. Transition services are intended to promote more positive outcomes for these individuals and other students with disabilities. Recent trends in society and education appear to be changing the nature of the current generation of secondary students and young adults, potentially rendering aspects of traditional transition planning obsolete. We review these trends, transition guidelines, and current research and outline an approach that may have merit in dealing with transition for students with EBD in the twenty-first century.

Does delay of gratification affect the probability of engaging in self-employment and does it contribute to business performance? This paper aims to quantify impacts of delay of gratification on engaging in self-employment and business performance.

Using Lao PDR as a representative of least developed countries, the authors analyze nationally representative survey data from the Lao PDR – STEP Skills Measurement Household Survey and estimate the binary logit/probit model to quantify impacts of delay of gratification on probability of self-employment. And, the impacts of delayed gratification on business performance of the self-employed individuals are also estimated.

Those with a lower degree of delayed gratification tend to elect to be self-employed instead of being full-time employees. However, a higher delay of gratification score is found to positively correlate with higher business performance among those who are self-employed. Other control variables such as business characteristics, education level and skills of the self-employed also play an important role in higher business performance.

Analysis from this paper still shows some weak points and limitations. First, the data set on self-employment has little representation from industry and the service sector and lacks many important variables such as parents’ characteristics and working hours. Second, there is no clear measurement of delay of gratification, as the measurements use only hypothesis money. Finally, there is a lack of studies to back up the result of delay of gratification on business performance, especially in a least developed country such as Lao PDR. The authors suggest that future research be conducted with richer data regarding the self-employed in industries and services. It would be quite interesting to study further the effect of delay of gratification along with grit, another behavioral variable, on business performance.

Based on the findings, it is therefore crucial that the Lao Government support a policy that helps strengthen both cognitive and noncognitive skills and the delay of gratification along with education to make Lao self-employment more productive.

Providing the self-employed with adequate skills to succeed in their enterprises can lead them and the nation to escape the poverty trap. Family, school and government should promote delay of gratification among young children. Encouraging special activities that foster emotional and behavioral skills learning and practice for children, such as religious learning and meditation, might boost their ability to delay gratification. Moreover, support for skills training, both basic and job-relevant skills, could promote business experience exchange by creating an organization that provides guidelines, information and advice for self-employment.

Even though there is extensive research indicating that delayed gratification exists in many contexts, there are very few studies investigating the impact of delayed gratification on the business, especially on the decision to be self-employed and the resulting business performance. The delay of gratification could be one factor that influences decisions on job selection or employment status and that influences business performance as well. This paper is also the first one conducted in a least developed country such as Lao PDR.

Social and emotional learning (SEL) is an important driver of student well-being, academic achievement, and future success. Despite decades of work on motivation theory and frameworks to promote student motivation and achievement outcomes, connections between motivation and recent frameworks and measures of SEL could be stronger. The purpose of our chapter is to help address this shortcoming. First, we begin by reviewing which theories of motivation currently appear in major SEL frameworks. Second, we introduce how a more comprehensive theory of motivation (based on an expectancy–value–cost framework) could be incorporated into SEL frameworks to advance their overall impact. Third, using examples from our ongoing research in STEM classrooms, we show how a broader knowledge of motivation can inform practitioners on how to promote key SEL competencies and subsequent achievement and engagement for students, especially to address inequities for historically marginalized and minoritized students. Finally, we close with recommendations for future directions for research and practice.

This study aims to examine the effects of participating in physical activities on female college graduates' starting salaries. We used an instrumental variable (IV) approach to address the possible endogeneity problem. By using the Taiwan Higher Education Dataset, we discovered that participating in physical activities during college increased an individual's earnings by 3.06%. The significant positive effect of physical activity on salary demonstrated in this study is consistent with that in other relevant studies. This study also discovered that both the intensity and the persistence of participation in physical activities affected salary outcomes. Individuals earned 0.17%–2.41% more if they exercised for an additional hour per week, suggesting the importance of the intensity of participation in physical activities. In addition, persistent participation in physical activities was associated with a 3.08% higher salary.