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Journal ArticleDOI

The Importance of Noncognitive Skills: Lessons from the GED Testing Program

James J. Heckman, +1 more
- 01 May 2001 - 
- Vol. 91, Iss: 2, pp 145-149
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TLDR
Mayer et al. as discussed by the authors pointed out that academic discussions of skill and skill formation almost exclusively focus on measures of cognitive ability and ignore non-cognitive skills and that the lack of any reliable measure of them is due to a lack of reliable measures of noncognitive traits.
Abstract
It is common knowledge outside of academic journals that motivation, tenacity, trustworthiness, and perseverance are important traits for success in life. Thomas Edison wrote that "genius is 1 percent inspiration and 99 percent perspiration." Most parents read the Aesop fable of the "Tortoise and The Hare" to their young children at about the same time they read them the story of "The Little Train That Could." Numerous instances can be cited of high-IQ people who failed to achieve success in life because they lacked self discipline and low-IQ people who succeeded by virtue of persistence, reliability, and self-discipline. The value of trustworthiness has recently been demonstrated when market systems were extended to Eastern European societies with traditions of corruption and deceit. It is thus surprising that academic discussions of skill and skill formation almost exclusively focus on measures of cognitive ability and ignore noncognitive skills. The early literature on human capital (e.g. Gary Becker, 1964) contrasted cognitive-ability models of earnings with human capital models, ignoring noncognitive traits entirely. The signaling literature (e.g., Michael Spence, 1974), emphasized that education was a signal of a one-dimensional ability, usually interpreted as a cognitive skill. Most discussions of ability bias in the estimated return to education treat omitted ability as cognitive ability and attempt to proxy the missing ability by cognitive tests. Most assessments of school reforms stress the gain from reforms as measured by the ability of students to perform on a standardized achievement test. Widespread use of standardized achievement and ability tests for admissions and educational evaluation are premised on the belief that the skills that can be tested are essential for success in schooling, a central premise of the educational-testing movement since its inception. Much of the neglect of noncognitive skills in analyses of earnings, schooling, and other lifetime outcomes is due to the lack of any reliable measure of them. Many different personality and motivational traits are lumped into the category of noncognitive skills. Psychologists have developed batteries of tests to measure noncognitive skills (e.g., Robert Sternberg, 1985). These tests are used by companies to screen workers but are not yet used to ascertain college readiness or to evaluate the effectiveness of schools or reforms of schools. The literature on cognitive tests ascertains that one dominant factor ("g") summarizes cognitive tests and their effects on outcomes. No single factor has yet emerged to date in the literature on noncognitive skills, and it is unlikely that one will ever be found, given the diversity of traits subsumed under the category of noncognitive skills. Studies by Samuel Bowles and Herbert Gintis (1976), Rick Edwards (1976), and Roger Klein et al. (1991) demonstrate that job stability and dependability are traits most valued by employers as ascertained by supervisor ratings and questions of employers although they present no direct evidence on wages and educational t Discussants: Susan Mayer, University of Chicago; Cecilia Rouse, Princeton University; Nan Maxwell, California State University-Hayward; Janet Currie, University of California-Los Angeles.

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Citations
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School Readiness and Later Achievement

TL;DR: A meta-analysis of the results shows that early math skills have the greatest predictive power, followed by reading and then attention skills, while measures of socioemotional behaviors were generally insignificant predictors of later academic performance.
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The Technology of Skill Formation

TL;DR: Cunha and Heckman as mentioned in this paper discuss the technology of skill formation, report,ChicagoAmerican Economic Association,2007.May 7, 2007, pp. 17-20, p.
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Human Capital Policy

TL;DR: This paper showed the importance of cognitive and non-cognitive skills that are formed early in the life cycle in accounting for racial, ethnic and family background gaps in schooling and other dimensions of socioeconomic success.
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Formulating, Identifying and Estimating the Technology of Cognitive and Noncognitive Skill Formation

TL;DR: A dynamic factor model is estimated to solve the problem of endogeneity of inputs and multiplicity of inputs relative to instruments and the role of family environments in shaping these skills at different stages of the life cycle of the child.
ReportDOI

Interpreting the evidence on life cycle skill formation

TL;DR: In this paper, the authors formalize the concepts of self-productivity and complementarity of human capital investments and use them to explain the evidence on skill formation, and provide a theoretical framework for interpreting the evidence from a vast empirical literature, for guiding the next generation of empirical studies, and for formulating policy.
References
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Book

Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education

TL;DR: In this paper, the effects of investment in education and training on earnings and employment are discussed. But the authors focus on the relationship between age and earnings and do not explore the relation between education and fertility.
Posted Content

Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education

TL;DR: In this paper, the impact of investments in human capital on an individual's potential earnings and psychic income was analyzed, taking into account varying cultures and political regimes, the research indicates that economic earnings tend to be positively correlated to education and skill level.
Book

Beyond IQ: A Triarchic Theory of Human Intelligence

TL;DR: In this paper, a triarchic theory for intelligence testing is presented, which is used to test componential models via componential analysis for real-time verbal comprehension and inductive reasoning.
Journal ArticleDOI

The Inheritance of Inequality

TL;DR: In this article, the causal mechanisms that underlie the intergenerational transmission of economic status are investigated and the mechanisms are shown to be amenable to public policies in a way that would make the attainment of economic success more fair.
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