This paper establishes that a low dimensional vector of cognitive and noncognitive skills explains a variety of labor market and behavioral outcomes. For many dimensions of social performance cognitive and noncognitive skills are equally important. Our analysis addresses the problems of measurement error, imperfect proxies, and reverse causality that plague conventional studies of cognitive and noncognitive skills that regress earnings (and other outcomes) on proxies for skills. Noncognitive skills strongly influence schooling decisions, and also affect wages given schooling decisions. Schooling, employment, work experience and choice of occupation are affected by latent noncognitive and cognitive skills. We study a variety of correlated risky behaviors such as teenage pregnancy and marriage, smoking, marijuana use, and participation in illegal activities. The same low dimensional vector of abilities that explains schooling choices, wages, employment, work experience and choice of occupation explains these behavioral outcomes.

These articles include recent research on ways to incorporate the noncognitive side of ability in economic theory and to empirically assess and explain its role in labor market and behavioral outcomes. Contributions investigate the extent to which assignment of workers is determined by traditional cognitive variables and by personality traits. Also presented in this collection is research on the role of noncognitive skills in explaining the labor market position of underrepresented groups and research that integrates the economic and psychological theory and evidence on noncognitive skills.

Over the past few decades, US business and industry have been transformed by the advances and redundancies produced by the knowledge economy. The workplace has changed, and much of the work differs from that performed by previous generations. Can human capital accumulation in the United States keep pace with the evolving demands placed on it, and how can the workforce of tomorrow acquire the skills and competencies that are most in demand? Education, Skills, and Technical Change explores various facets of these questions and provides an overview of educational attainment in the United States and the channels through which labor force skills and education affect GDP growth. Contributors to this volume focus on a range of educational and training institutions and bring new data to bear on how we understand the role of college and vocational education and the size and nature of the skills gap. This work links a range of research areas—such as growth accounting, skill development, higher education, and immigration—and also examines how well students are being prepared for the current and future world of work.

This book provides an overview of recent research on the relationship between noncognitive attributes (motivation, self efficacy, resilience) and academic outcomes (such as grades or test scores). We focus primarily on how these sets of attributes are measured and how they relate to important academic outcomes. Noncognitive attributes are those academically and occupationally relevant skills and traits that are not “cognitive”—that is, not specifically intellectual or analytical in nature. We examine seven attributes in depth and critique the measurement approaches used by researchers and talk about how they can be improved.

"Non-cognitive skills" are often used to refers to those skills that do not fall within the cognitive category but to describe a stable pattern of thought, feeling, and behavior in different situations and backgrounds with profitable and investable characteristics, such as conscientiousness, perseverance, and teamwork, which are critically important in education. However, for many years, "non-cognitive skills" have always been ignored in human capital theory. The book, using a multidisciplinary approach, tries to uncover the noncognitive components of human capital, so as to answer the question "what is the skill that should be invested in?" The author expands the connotations of human capital by exploring the value of noncognitive skills and their production patterns, constructing a measurement framework and a set of tools to measure noncognitive skills. She especially carries out an empirical survey which covers primary and secondary school students from seven provinces of China’s east, middle, and west areas. With the data collected, she analyzes Chinese students’ noncognitive development and further identifies the critical factors that may impact their noncognitive skills by applying the Bayesian Model Average approach. The book will be a theoretical contribution to education economics. Researchers interested in education in China, children’s development, and policymakers in the field of education will find this book helpful and resourceful.