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Tim Kautz

Bio: Tim Kautz is an academic researcher from Mathematica Policy Research. The author has contributed to research in topics: Achievement test & Cognitive skill. The author has an hindex of 15, co-authored 33 publications receiving 2833 citations. Previous affiliations of Tim Kautz include University of Chicago & Institute for the Study of Labor.

Papers
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Journal ArticleDOI
TL;DR: The larger message of this paper is that soft skills predict success in life, that they causally produce that success, and that programs that enhance soft skills have an important place in an effective portfolio of public policies.

1,197 citations

Posted Content
TL;DR: In this paper, the power of personality traits both as predictors and as causes of academic and economic success, health, and criminal activity is explored, where the authors interpret personality as a construct derived from an economic model of preferences, constraints, and information.
Abstract: This paper explores the power of personality traits both as predictors and as causes of academic and economic success, health, and criminal activity. Measured personality is interpreted as a construct derived from an economic model of preferences, constraints, and information. Evidence is reviewed about the "situational specificity" of personality traits and preferences. An extreme version of the situationist view claims that there are no stable personality traits or preference parameters that persons carry across different situations. Those who hold this view claim that personality psychology has little relevance for economics. The biological and evolutionary origins of personality traits are explored. Personality measurement systems and relationships among the measures used by psychologists are examined. The predictive power of personality measures is compared with the predictive power of measures of cognition captured by IQ and achievement tests. For many outcomes, personality measures are just as predictive as cognitive measures, even after controlling for family background and cognition. Moreover, standard measures of cognition are heavily influenced by personality traits and incentives. Measured personality traits are positively correlated over the life cycle. However, they are not fixed and can be altered by experience and investment. Intervention studies, along with studies in biology and neuroscience, establish a causal basis for the observed effect of personality traits on economic and social outcomes. Personality traits are more malleable over the life cycle compared to cognition, which becomes highly rank stable around age 10. Interventions that change personality are promising avenues for addressing poverty and disadvantage.

533 citations

Report SeriesDOI
TL;DR: For example, this paper found that non-cognitive skills are more malleable than cognitive skills during the adolescent years, while cognitive skills are stable across situations with different incentives.
Abstract: IQ tests and achievement tests do not capture non-cognitive skills — personality traits, goals, character and motivations that are valued in the labour market, in school and elsewhere. For many outcomes, their predictive power rivals or exceeds that of cognitive skills. Skills are stable across situations with different incentives. Skills are not immutable over the life cycle. While they have a genetic basis they are also shaped by environments, including families, schools and peers. Skill development is a dynamic process. The early years are important in shaping all skills and in laying the foundations for successful investment and intervention in the later years. During the early years, both cognitive and non-cognitive skills are highly malleable. During the adolescent years, non-cognitive skills are more malleable than cognitive skills. The differential plasticity of different skills by age has important implications for the design of effective policies.

361 citations

ReportDOI
TL;DR: In this article, the power of personality traits both as predictors and as causes of academic and economic success, health, and criminal activity is explored, where the authors interpret personality as a construct derived from an economic model of preferences, constraints and information.
Abstract: This chapter explores the power of personality traits both as predictors and as causes of academic and economic success, health, and criminal activity. Measured personality is interpreted as a construct derived from an economic model of preferences, constraints, and information. Evidence is reviewed about the “situational specificity” of personality traits and preferences. An extreme version of the situationist view claims that there are no stable personality traits or preference parameters that persons carry across different situations. Those who hold this view claim that personality psychology has little relevance for economics. The biological and evolutionary origins of personality traits are explored. Personality measurement systems and relationships among the measures used by psychologists are examined. The predictive power of personality measures is compared with the predictive power of measures of cognition captured by IQ and achievement tests. For many outcomes, personality measures are just as predictive as cognitive measures, even after controlling for family background and cognition. Moreover, standard measures of cognition are heavily influenced by personality traits and incentives. Measured personality traits are positively correlated over the life cycle. However, they are not fixed and can be altered by experience and investment. Intervention studies, along with studies in biology and neuroscience, establish a causal basis for the observed effect of personality traits on economic and social outcomes. Personality traits are more malleable over the life cycle compared with cognition, which becomes highly rank stable around age 10. Interventions that change personality are promising avenues for addressing poverty and disadvantage.

333 citations

Posted Content
TL;DR: A review of the literature on measuring and boosting cognitive and non-cognitive skills can be found in this article, where the authors show that character skills are stable across different tasks, but skills can change over the life cycle.
Abstract: This paper reviews the recent literature on measuring and boosting cognitive and noncognitive skills. The literature establishes that achievement tests do not adequately capture character skills--personality traits, goals, motivations, and preferences--that are valued in the labor market, in school, and in many other domains. Their predictive power rivals that of cognitive skills. Reliable measures of character have been developed. All measures of character and cognition are measures of performance on some task. In order to reliably estimate skills from tasks, it is necessary to standardize for incentives, effort, and other skills when measuring any particular skill.Character is a skill, not a trait. At any age, character skills are stable across different tasks, but skills can change over the life cycle. Character is shaped by families, schools, and social environments. Skill development is a dynamic process, in which the early years lay the foundation for successful investment in later years.High-quality early childhood and elementary school programs improve character skills in a lasting and cost-effective way. Many of them beneficially affect later-life outcomes without improving cognition. There are fewer long-term evaluations of adolescent interventions, but workplace-based programs that teach character skills are promising. The common feature of successful interventions across all stages of the life cycle through adulthood is that they promote attachment and provide a secure base for exploration and learning for the child. Successful interventions emulate the mentoring environments offered by successful families.

226 citations


Cited by
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Posted Content
TL;DR: In this paper, the authors provide a unified and comprehensive theory of structural time series models, including a detailed treatment of the Kalman filter for modeling economic and social time series, and address the special problems which the treatment of such series poses.
Abstract: In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.

4,252 citations

Journal ArticleDOI
TL;DR: A survey of factor analytic studies of human cognitive abilities can be found in this paper, with a focus on the role of factor analysis in human cognitive ability evaluation and cognition. But this survey is limited.
Abstract: (1998). Human cognitive abilities: A survey of factor analytic studies. Gifted and Talented International: Vol. 13, No. 2, pp. 97-98.

2,388 citations

Book
18 Dec 2012
TL;DR: In this article, the authors identify caracteristicas relacionadas with the aprendizaje of these habilidades, that include desarrollo profesional docente, curriculo, evaluacion, programas extraescolares and extraescolate, and centros de aprendíe informal como exhibiciones and museos.
Abstract: Este libro describe un importante conjunto de habilidades clave que aumentan el aprendizaje mas profundo, la preparacion para la universidad y la carrera, el aprendizaje centrado en el estudiante y el pensamiento de orden superior. Estas etiquetas incluyen habilidades cognitivas y no cognitivas, como pensamiento critico, resolucion de problemas, colaboracion, comunicacion efectiva, motivacion, persistencia y aprender a aprender. Las habilidades del siglo XXI tambien incluyen creatividad, innovacion y etica que son importantes para el exito posterior y pueden desarrollarse en entornos de aprendizaje formales o informales. Este informe tambien describe como estas habilidades se relacionan entre si y con las habilidades y contenidos academicos mas tradicionales en las disciplinas clave de lectura, matematicas y ciencias. Educacion para la vida y el trabajo: Desarrollar conocimientos y habilidades transferibles en el siglo XXI resume los hallazgos de la investigacion que investiga la importancia de tales habilidades para el exito en la educacion, el trabajo y otras areas de responsabilidad adulta y que demuestra la importancia de desarrollar estas habilidades. en la educacion K-16. En este informe, se identifican caracteristicas relacionadas con el aprendizaje de estas habilidades, que incluyen desarrollo profesional docente, curriculo, evaluacion, programas extraescolares y extraescolares y centros de aprendizaje informal como exhibiciones y museos.

1,489 citations

Journal ArticleDOI
TL;DR: The larger message of this paper is that soft skills predict success in life, that they causally produce that success, and that programs that enhance soft skills have an important place in an effective portfolio of public policies.

1,197 citations

Journal ArticleDOI
TL;DR: The authors used longitudinal data on cognitive and personality traits from an experimental evaluation of the influential Perry Preschool program to analyze the channels through which the program boosted both male and female participant outcomes.
Abstract: A growing literature establishes that high quality early childhood interventions targeted toward disadvantaged children have substantial impacts on later life outcomes. Little is known about the mechanisms producing these impacts. This paper uses longitudinal data on cognitive and personality traits from an experimental evaluation of the influential Perry Preschool program to analyze the channels through which the program boosted both male and female participant outcomes. Experimentally induced changes in personality traits explain a sizable portion of adult treatment effects.

1,174 citations